Skip to main content
Molecular Cancer logoLink to Molecular Cancer
. 2025 Mar 3;24:61. doi: 10.1186/s12943-025-02258-1

Lipid metabolic reprograming: the unsung hero in breast cancer progression and tumor microenvironment

Mengting Wan 1,#, Shuaikang Pan 1,3,#, Benjie Shan 1,#, Haizhou Diao 1, Hongwei Jin 1,2, Ziqi Wang 1, Wei Wang 1,3, Shuya Han 1, Wan Liu 1, Jiaying He 1,4, Zihan Zheng 1,2, Yueyin Pan 1,, Xinghua Han 1,, Jinguo Zhang 1,
PMCID: PMC11874147  PMID: 40025508

Abstract

Aberrant lipid metabolism is a well-recognized hallmark of cancer. Notably, breast cancer (BC) arises from a lipid-rich microenvironment and depends significantly on lipid metabolic reprogramming to fulfill its developmental requirements. In this review, we revisit the pivotal role of lipid metabolism in BC, underscoring its impact on the progression and tumor microenvironment. Firstly, we delineate the overall landscape of lipid metabolism in BC, highlighting its roles in tumor progression and patient prognosis. Given that lipids can also act as signaling molecules, we next describe the lipid signaling exchanges between BC cells and other cellular components in the tumor microenvironment. Additionally, we summarize the therapeutic potential of targeting lipid metabolism from the aspects of lipid metabolism processes, lipid-related transcription factors and immunotherapy in BC. Finally, we discuss the possibilities and problems associated with clinical applications of lipid‑targeted therapy in BC, and propose new research directions with advances in spatiotemporal multi-omics.

Keywords: Breast cancer, Lipid metabolism, Cancer progression, Tumor microenvironment, Metabolism-based therapies

Introduction

Breast cancer (BC) has emerged as the most commonly diagnosed malignancy worldwide. Representing 31% of all cancer diagnoses in women, the global incidence is anticipated to escalate by an additional 40% by the year 2040 [1]. Despite advancements in survival rates, the overall disease burden attributable to BC remains substantial, and it continues to be a predominant cause of mortality among women aged 30–60 in China [2]. BC has historically been classified into three primary subtypes based on receptor and protein expression: hormone receptor-positive (HR + , approximately 70%), HER2-positive (HER2 + , approximately 20%), and triple-negative (approximately 10%). Each subtype exhibits distinct clinical and molecular characteristics, necessitating tailored diagnostic and therapeutic strategies [3, 4]. Recent advancements in molecular biology have facilitated the development of platforms such as Oncotype, which offer prognostic and predictive insights to guide the selection of patients for adjuvant chemotherapy [5]. At the same time, novel classes of therapeutics, such as immune checkpoint blockade (ICB), have been developed to explicitly target the tumor microenvironment (TME) rather than the tumor cells themselves. This approach offers a new paradigm in targeted therapy, particularly in cases where tumor cells lack actionable targets [6]. Consequently, it is imperative to deepen our understanding of the molecular mechanisms underlying BC to identify novel hallmarks of signaling pathways.

Metabolic reprogramming has emerged as a critical hallmark of cancer. In addition to the extensively studied reprogramming of glucose and glutamine metabolism, lipid metabolism has gained increasing recognition as a significant pathway in cancer cells over recent years [7, 8]. Lipids are primarily categorized into fatty acids (FAs), cholesterol, and phospholipids [9]. Lipids are structurally essential, functioning as key components of the phospholipid bilayer, and may be conjugated to proteins to serve as lipid anchors. Furthermore, lipids can also act as potent signaling molecules and fulfill energetic roles, facilitating the long-term storage of energy in the form of triglycerides [10]. Lipid metabolism is gaining research interest due to its vital role in tumor initiation, progression, and metastasis [11]. BC cells frequently undergo lipid metabolic reprogramming, which is marked by enhanced lipid uptake, lipid synthesis, fatty acid oxidation, and lipid storage. These adaptations enable BC cells to survive and proliferate under hypoxic and nutrient-deficient conditions [12, 13], which will be discussed in subsequent sections. Given their involvement in numerous critical cellular processes, elucidating the role of lipid metabolism in the development and progression of BC is of paramount importance.

In addition to mediating the biological characteristics of tumor cells, substantial evidence suggests that lipids influence the function and status of immune cells within the TME [14]. Tumor cells actively modify the TME by secreting signaling molecules and metabolites, thereby affecting the functions of non-tumor cells within the TME [15]. Concurrently, lipid metabolic reprogramming in non-tumor cells drives the environment toward an immunosuppressive phenotype, which supports tumor progression [16]. Understanding the alterations in lipid metabolism induced by various cell types within the TME and their reciprocal interactions with lipids is critical for developing more effective cancer treatments. Given the significant role of lipid metabolism in BC progression and the substantial influence of lipids on the TME, this review provides a comprehensive summary of recent advancements in lipid metabolism reprogramming in BC. Furthermore, we also summarize potential therapeutic targets, offering insights for future research and clinical applications.

Dysregulation of lipid uptake and transport in BC

Recent observations indicate that the capacity of cancer cells to assimilate fatty acids from their environment serves as a significant metabolic marker [17]. Notably, BC arising in tissues with abundant adipocyte populations preferentially absorbs exogenous fatty acids to promote tumor development [18, 19]. Previous studies have demonstrated that heightened extracellular lipid availability enhances fatty acid transport in breast cancer cells under a lipid-rich extracellular environment [20]. Several membrane-associated transport proteins are involved in FAs uptake and transport, including CD36, fatty acid transport proteins (FATPs), and fatty acid binding proteins (FABPs) [21, 22]. Among them, CD36 has been the most extensively studied in cancer. The transmembrane protein CD36 belongs to the class B scavenger receptor type 2. It is a receptor for a variety of ligands, including lipid-related ligands (e.g., long-chain fatty acids) and protein-related ligands (e.g., thrombospondins, collagens I and IV) [23]. In regard to BC, CD36 exhibited the highest levels in HER2 + lapatinib-resistant BC cells, and its ablation may induce apoptotic cell death. Meanwhile, the administration of an anti-CD36 antibody to xenografts originating from lapatinib-resistant BC cells increased their susceptibility to lapatinib [24]. Additionally, Feng et al. also observed a significant increase in the expression of CD36 in lapatinib-resistant breast cancer cells. Notably, increased CD36 facilitated fatty acid uptake to compensate for reduced fatty acid synthesis caused by HER-2 inhibition [25]. The role of CD36 in tamoxifen treatment was associated with the CD36-facilitated absorption of fatty acids to satisfy the increased metabolic requirements of tumor cells [26]. In the lipid-rich microenvironment, breast-associated adipocytes release molecules that facilitate tumor growth by enhancing CD36 expression and fatty acid absorption in breast cancer cells [27, 28]. Platelets with elevated levels of CD36 were found to release a diverse range of growth factors and cytokines, particularly high levels of PDGF-B. The PDGF-B subsequently activated the PDGFR-β/COX-2 signaling pathway, resulting in an elevation of many pro-inflammatory factors, hence intensifying tumor metastasis [29]. In terms of clinical application, CD36 was identified as an independent prognostic indicator, predicting responses to trastuzumab-based neoadjuvant therapy in early-stage HER2 + breast cancer [30]. Collectively, CD36 has been implicated as a crucial regulator of drug resistance and tumor microenvironment remodeling in BC.

FABPs are recognized for their role in mediating lipid homeostasis, membrane-protein interactions, and metabolic and inflammatory processes [31]. Recent investigations have identified abnormal FABP expression as a possible mediator of tumorigenesis [32, 33]. In the case of BC, FABP4 establishes a molecular connection between tumor-associated macrophages, adipocytes, and tumor cells [34]. The abrogation of FABP5 markedly diminished the aggressiveness of BC cells in co-culture with adipocytes, underscoring the critical function of FABP5 in the interaction between adipocytes and BC cells. [35]. In vivo studies demonstrated that mice deficient in FABP4 exhibited retarded tumor development and enhanced survival in a mouse breast cancer model [36]. Moreover, FABP5 deletion also demonstrated a reduction in tumor development and lung metastasis in animals orthotopically injected with murine BC cells. Molecular studies have revealed that FABP5 knockdown decreases EGFR expression in triple-negative breast cancer (TNBC) cells, and FABP5 serves as a crucial modulator of EGF-induced metastatic signaling [3739]. Several studies have demonstrated that the presence of fatty acid transporters in the tumor-adipose microenvironment is closely associated with macrophage function and has prognostic implications in BC. FABP4 was found to exhibit preferential expression within a distinct subset of macrophages characterized by the CD11b + F4/80 + MHCII − Ly6C − phenotype. The intracellular presence of FABP4 in macrophages results in the downregulation of miR-29b through NF-κB, subsequently inhibiting the IL-6/STAT3 signaling pathway and ultimately promoting tumor growth [40]. Liu et. identified a specific group of macrophages termed lipid-associated macrophages, distinguished by elevated expression of fatty acid transporters and lipid receptors, as well as demonstrating immunosuppressive properties and heightened phagocytic activity [41]. At the individual study level, elevated levels of FABP4 in the bloodstream contribute to the progression of BC. The upregulation of FABP4 has been noted in recurrent breast cancer and correlates with a worse outcome in individuals with different tumor types [42]. Elevated levels of circulating FABP4 and FABP5 have been detected in individuals with breast cancer, with particular emphasis on the potential of circulating FABP4 levels as a novel independent biomarker [43]. Of note, FABP4 levels were significantly higher in obese women with BC, regardless of menopausal status, which correlated with larger tumor sizes and poorer outcomes [44]. In summary, FABPs serve as a mechanism by promoting interactions among cancer cells, adipocytes, and tumor-associated macrophages, especially in obesity-related breast carcinogenesis.

Cholesterol, an essential lipid component of the mammalian cell membrane, is crucial for maintaining membrane integrity and fluidity, as well as for the creation of membrane microstructures [45]. The role of cholesterol in cancer has garnered increasing attention, with substantial evidence indicating a dysregulated cholesterol balance within tumors. Disruption of cholesterol homeostasis influences various tumor hallmarks, thereby facilitating tumorigenesis, metastasis, and treatment resistance through the reprogramming of multiple microenvironments [46]. Cholesterol in humans is derived from food consumption and de novo production inside endogenous cells. Cholesterol is usually acquired by cells via low-density lipoprotein receptor (LDLR)-mediated endocytosis, wherein LDLR binds to low-density lipoprotein (LDL) in the bloodstream. The resulting LDL-LDLR complex is subsequently transported to lysosomes for degradation [47]. Furthermore, ATP-binding cassette (ABC) transporters are also involved in cholesterol transport and have been regarded as key players in BC chemoresistance [48]. Notably, a majority of tumor tissues in cancer patients exhibit overexpression of LDLR, which supports the rapid proliferation of cancer cells. Moreover, abnormalities in blood cholesterol levels are significantly correlated with an increased risk of various cancers [49]. Regarding BC, multiple lines of evidence suggest that dysregulation of cholesterol uptake contributes to carcinogenesis. Specifically, the expression of LDLR and the uptake of LDL-cholesterol are elevated in BC cell lines, with LDL being crucial for fulfilling the energy demands of BC cell motility [50, 51]. Furthermore, reducing LDLR expression in triple-negative and HER2-overexpressing breast cancer cells has been shown to increase cell death and reduce tumor growth in the context of hyperlipidemia [52, 53].Antalis et al. demonstrated that LDLR and cholesterol levels are elevated in metastatic BC cells compared to non-metastatic cancer cells. Furthermore, they found that inhibiting PKC and MEK expression in MDA-MB-231 cells reduces LDLR expression and impedes cell migration [54]. Mechanistic studies revealed that EGF-mediated stimulation of the EGFR signaling pathway leads to augmented cholesterol absorption and elevated LDLR expression in MDA-MB-468 and Mvt1 BC cells [55]. Clinically, the overexpression of LDLR and the accumulation of cholesterol esters have been correlated with increased proliferation and aggressiveness of BC, as well as with unfavorable clinical outcomes [56]. The subsequent section offers a comprehensive overview of lipid uptake and transport in BC (Fig. 1).

Fig. 1.

Fig. 1

An overview of lipid uptake and transport in BC. Due to its proximity to adipose tissues, adipocytes are major constituents of mammary stroma and play an important role in lipid metabolic reprogramming of BC. Extracellular lipids released from adipose tissues were acquired by BC cells through specialized receptors (CD36, FATPs, FABPs, ABC transporters, and LDLR). Cellular acquisition of cholesterol typically occurs through LDLR-mediated endocytosis, and the LDL-LDLR complex is subsequently transported to lysosomes for degradation. BC cells often exhibit elevated activity of these transport receptors, which facilitate the uptake of FAs, promote malignant biological behaviors, and reshape the TME through lipid trafficking among BC cells, adipocytes, and immune cells. Abbreviations: FAs, fatty acids; CD36, fatty acid translocase; FATPs, fatty acid transport proteins; FABPs, fatty acid-binding proteins; LDL, low-density lipoprotein; VLDL, Very‐low‐density lipoprotein; HDL, high-density lipoprotein; LDLR, low-density lipoprotein receptor; ABC, ATP-binding cassette transporter; TME, tumor microenvironment

Dysregulation of lipid synthesis in BC

The main steps of FAs biosynthesis

In typical physiological conditions, only specialized lipogenic cells, including those found in the liver, adipose tissue, and lactating mammary glands, participate in de novo fatty acid synthesis. In contrast, most normal cells depend on the uptake of exogenous lipids [57]. To meet the increased demand for lipids and cholesterol, cancer cells often upregulate their internal fatty acid synthesis pathways, which are crucial for membrane formation, energy production, and the creation of signaling molecules [58]. Elevated lipogenesis is recognized as a key metabolic marker of cancer cells. Research indicates that the activation of fatty acid production plays a significant role in oncogenesis and the survival of tumor cells [58]. Elevated lipogenesis has also been associated with the enhanced expression and activity of enzymes involved in the lipogenic pathway [59]. Consequently, lipid reprogramming is acknowledged as a significant factor in the progression of cancer.

Fatty acid synthesis occurs in the cytosol, utilizing acetyl-CoA as the main precursor. Acetyl-CoA is generated through the catabolism of glucose, fatty acids, ketone bodies, and proteins [60]. Because acetyl-CoA is produced in the mitochondria and cannot cross the membrane, it first forms citrate with oxaloacetate. Citrates are then carried into the cytosol via the citrate transporter (SLC25A1), where ATP-citrate lyase (ACLY) transforms it into acetyl-CoA and oxaloacetate [61]. In the cytosol, acetyl-CoA is carboxylated by acetyl-CoA carboxylase (ACC) to produce malonyl-CoA [62]. Malonyl-CoA is crucial for the elongation of fatty acid chains, which also represents the rate-limiting stage of the entire process [63]. The fatty acid synthase complex (FASN) catalyzes a sequence of events involving one molecule of acetyl-CoA and seven molecules of malonyl-CoA, hence driving fatty acid production [64]. This sequence of reactions (transfer, condensation, hydrogenation, dehydration, and re-hydrogenation) is repeated seven times, each cycle adding two carbon units to the growing chain. The outcome is the synthesis of a 16-carbon fatty acid, palmitoyl-ACP, which is subsequently cleaved by thioesterase to yield free palmitic acid. The process outlined above, starting from acetyl-CoA, is referred to as de novo lipogenesis [65]. Palmitic acid can be further elongated or desaturated by stearoyl-CoA desaturase (SCD) to produce other fatty acids. Several key enzymes drive fatty acid synthesis, including ACLY, ACC, and FASN [66]. In normal human cells, de novo fatty acid synthesis occurs at relatively low levels, with minimal expression of the corresponding enzymes. However, in tumor cells, up to 90% of lipid synthesis is driven by de novo fatty acid synthesis, with significantly elevated enzyme activity [67]. For instance, FASN expression is significantly elevated in several types of cancer, including breast, colorectal, liver, and lung cancers [6870]. De novo lipogenesis is a meticulously regulated metabolic pathway that supports cancer progression through the activation of various signaling pathways in proliferating cells. This process not only supplies energy but also supports the malignant phenotype by promoting proliferation, angiogenesis, metastasis, and drug resistance [71]. Given the critical role of de novo fatty acid synthesis in tumor initiation and progression, increasing research is being directed toward this pathway to uncover potential therapeutic targets for cancer treatment.

FAs have diverse effects on tumor growth in BC

Fatty acids exhibit diverse functions influenced by their carbon chain length, saturation degree, and structural characteristics, each contributing uniquely to human health, metabolism, and dietary sources [72]. A significant amount of preclinical and clinical evidence indicates that specific fatty acids, including monounsaturated fatty acids (MUFAs), saturated fatty acids, and trans fatty acids, exhibit pro-carcinogenic properties [73]. Palmitic acid, a saturated fatty acid, significantly enhances the tumorigenic capacity of HR-negative breast cancer cells through the regulation of key transcription factors [74]. Oleic acid facilitates the migration of BC cells via the EGFR and AKT-dependent signaling pathways [75]. Free fatty acids (FFAs) also regulate carcinogenesis through their interaction with specific free fatty acid receptors that belong to the G-protein-coupled receptor superfamily [76]. Notably, GPR120, a receptor for long-chain fatty acids, has been favorably correlated with chemosensitivity in BC patients. Activation of GPR120 signaling can enhance the expression of ABC transporters and promote de novo fatty acid synthesis [77]. Conversely, polyunsaturated fatty acids (PUFAs), especially omega-3 fatty acids such as docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), demonstrate significant anti-cancer properties [78]. Research indicates that PUFAs inhibit the growth of BC cells and impede tumor progression in xenograft models [79]. Increasing the intake of omega-3 fatty acids has been associated with a reduced risk in high-risk BC populations [80]. Additionally, alpha-linolenic acid (ALA), an essential omega-3 fatty acid, along with EPA and DHA, has been shown to improve the effectiveness of treatments for HER-2 positive BC [81]. Furthermore, the balance between saturated fatty acids (SFAs) and MUFAs has been identified as a potential indicator for evaluating the risk of BC. An imbalance in this ratio is significantly linked to an increased risk of BC [82, 83]. In summary, FAs play an essential and complex role in BC development, involving a variety of molecular mechanisms, including cellular metabolism, and pro- and anti-inflammatory signaling pathways.

Key enzymes of fatty acid synthesis pathway in BC

Fatty acid synthase

Fatty acid synthase (FASN) is a crucial biosynthetic enzyme and the primary regulator of endogenous FAs production [84]. Under normal physiological conditions, FASN primarily serves two functions: the storage of surplus energy as triglycerides in adipose tissue and the synthesis of phospholipid constituents for cellular and organelle membranes [85]. In healthy cells, FASN has a limited function; nevertheless, in cancer cells, it mostly facilitates de novo fatty acid synthesis [86]. Dysregulation of FASN activity has been implicated in several metabolic disorders and cancers, highlighting its importance as a therapeutic target [87, 88]. Studies from clinical samples suggest that FASN is significantly associated with the aggressiveness, metastatic potential, and patient prognosis of BC. FASN has been regarded as an early indicator in human BC. For instance, studies found that blood FASN levels are raised in breast cancer patients, and those with high FASN expression have increased serum fatty acid levels [89, 90]. In early-stage breast cancer patients, FASN expression is significantly associated with menopausal status, body mass index, and pathological stage [91]. Furthermore, aberrant expression of FASN has been shown to be associated with the metastatic properties of BC. The expression of FASN was elevated in lymph node metastases relative to non-lymph node metastases [92]. Notably, FASN expression was significantly elevated in BC that metastasized to the brain compared to primary breast tumors or those metastasized to other locations, suggesting that brain metastasis in HER2 + breast cancer depends on FASN activity [93]. FASN expression also correlates with advanced disease stages and poor clinical outcomes. In the TCGA-BC cohort, elevated FASN expression is associated with reduced overall survival (OS), recurrence-free survival (RFS), and distant metastasis-free survival (DMFS) [94]. A meta-analysis revealed that elevated FASN expression correlates with tumor size and HER2 positivity, although it does not significantly influence the overall prognosis of BC [95]. FASN is overexpressed in TNBC tissue, which was significantly higher than that in adjacent tissues. The positive expression of FASN correlated with lymph node metastases, TNM stage, histological grading, diabetes, and body mass index [96, 97]. Overall, the evidence suggests that FASN plays a critical role in BC malignancy and metastasis, underscoring its potential as a prognostic biomarker and a target for therapeutic intervention.

In preclinical studies, FASN expression correlated with a more aggressive phenotype in breast cancer cells. Studies have demonstrated that inhibition of FASN activity resulted in decreased cell viability and proliferation, implying that targeting FASN could serve as a therapeutic approach for BC [98, 99]. FASN overexpression results in increased long-chain FAs production, which enhances the expression of ligands such as VEGF, ultimately inducing epithelial-mesenchymal transition (EMT) and therapy resistance [100]. Studies have shown that the FASN inhibitor psoralen can reverse EMT, decreasing cell dispersion, migration, and invasion in MCF-7 cells [101]. FASN may play a role as an intrinsic factor in the transition to endocrine resistance in ER + /HER2 + BC. And pharmacological inhibition of FASN activity might overcome HER2-determined tamoxifen resistance in animal models [102, 103]. Mechanistically, FASN inhibition decreased the growth of tamoxifen-resistant breast tumors by reducing ERα levels and changing its subcellular localization [104]. In TNBC, FASN serves as a potential anti-apoptotic protein, and inhibiting FASN expression may improve CDDP-induced apoptosis and overcome chemoresistance [105]. FASN was hyperactivated in stem cell-enriched TNBC samples, and pharmacological FASN inhibition might reduce stemness and prevent 3D BC stem cell expansion [106]. In HER2-overexpressing BC cells, FASN phosphorylation has been identified as a critical factor that enhances signaling pathways associated with tumor progression [107]. In conclusion, FASN could serve as a key biomarker of aggressive BC.

FASN is generally regulated by intracellular kinase pathways and lipid-associated transcription factors. In SK-BR-3 and BT-474 cells, FASN expression was higher in HER2-overexpressing cells compared to those with low or no HER2 expression [108]. Furthermore, high FASN expression is positively correlated with HER2 overexpression, with HER2 signaling believed to drive this increase in FASN levels [109]. MAPK and PI3K-AKT pathways are also central regulators of FASN expression in BC cells [110]. Specifically, FASN gene expression is activated downstream of the PI3K-AKT-mTOR signaling cascade in response to metabolic and growth signals. Furthermore, HER2 overexpression enhances the activity of the FASN gene promoter, thereby promoting endogenous fatty acid synthesis via the activation of the MAPK and PI3K-AKT pathways [103]. Studies have shown that α-mangostin downregulates PI3K-AKT levels in BC cell lines, which decreases FASN activity and reduces intracellular fatty acid levels, ultimately inducing apoptosis [111]. Moreover, inhibitors targeting mTOR and PI3K have been shown to impede HER2-induced FASN expression [107]. Additionally, FASN is regulated by several transcription factors, with Sterol Regulatory Element-Binding Protein 1 (SREBP-1) serving a pivotal function in fatty acid synthesis. SREBP-1 directly regulates FASN expression in BC [112, 113]. Beyond FASN, SREBP-1 also regulates other key enzymes involved in fatty acid synthesis, including ACC and SCD1. Notably, SREBP-1 is strongly associated with EMT, driving breast cancer growth and metastasis [114, 115]. Peroxisome Proliferator-Activated Receptors (PPARs) are nuclear receptors that regulate lipid metabolism and inflammatory responses via the regulation of FASN transcription [116]. The PPARα agonist, clofibrate, has been shown to effectively treat breast cancers with high FASN expression, drastically diminishing FASN bioactivity in clofibrate-treated breast cancer cells [116]. The role of FASN-mediated lipid metabolism signaling pathways in BC is attracting growing attention. The interplay between FASN expression and other oncogenic pathways further underscores its potential as a novel therapeutic intervention for aggressive BC.

ATP-citrate lyase

ATP-citrate lyase (ACLY) functions as a crucial enzyme in glucose metabolism and lipid biosynthesis, acting as an essential connection between these two primary metabolic pathways [117]. ACLY is essential in FAs metabolism, and its aberrant expression has been noted in several immortalized cell lines and malignancies [118]. In BC, the enzymatic activity of ACLY is approximately 150 times higher than in normal breast tissue [119]. ACLY overexpression is associated with clinical stage and lymph node metastases, but not with age or tumor size. ACLY and its phosphorylated variant are markedly increased in BC tissues relative to surrounding normal tissues, with phosphorylated ACLY exhibiting a positive connection with lymph node metastasis [120]. Additionally, elevated ACLY expression in BC tissues correlates with ER status, PR status, and lymph node metastasis. The expression of ACLY has been associated with RFS and is regarded as an independent prognostic factor for breast cancer recurrence [121]. Survival analysis demonstrated that BC patients with high ACLY expression had shorter OS and DMFS, underscoring the significance of ACLY in BC prognosis [122]. In preclinical studies, silencing ACLY expression diminishes cell viability and induces apoptosis in BC cells [120].Kimberly S et al. discovered ACLY as a new binding partner of cyclin E and demonstrated that this interaction enhances ACLY function, contributing to the aggressiveness of BC [123]. As a key enzyme in cellular metabolism, ACLY also serves as an important signaling molecule, playing a crucial role in various pathways, much like FASN. As a downstream effector of the PI3K-AKT-mTOR pathway, ACLY is activated by AKT phosphorylation at serine 455 [124, 125]. As an upstream regulator of genes encoding enzymes involved in fatty acid synthesis, transcription factors including SREBP-1c and SIX1 are shown to directly increase the expression of ACLY in BC cells [126, 127]. ACLY participates in multiple signaling pathways; however, its specific role in the development of BC within these pathways is not well understood.

Acetyl-CoA carboxylase

Acetyl-CoA carboxylase (ACC) converts acetyl-CoA to malonyl-CoA [128], a critical and rate-limiting step in FAs synthesis. ACC has two isoforms: ACC1 and ACC2. ACC1 resides in the cytoplasm, utilizing malonyl-CoA for de novo FAs synthesis [129]. In contrast, ACC2 is linked to the mitochondrial membrane, producing malonyl-CoA that inhibits carnitine palmitoyltransferase 1 (CPT1), thus blocking fatty acid entry into the mitochondria for β-oxidation [130]. Recent studies have highlighted the role of ACC in various cancers, notably colorectal, ovarian, liver, gastric, and breast cancers [131134]. ACC is a key factor for BC cells survival, metastasis, and treatment resistance. An in vitro study on BC cells indicated that knocking down ACC reduced cell viability, increased apoptosis, and significantly inhibited cell migration [135]. Consistent with these results, silencing ACC1 with shRNA or inhibiting it with non-specific small-molecule inhibitors consistently resulted in cell death [136, 137]. Genome-wide CRISPR-Cas9 loss-of-function screenings have revealed ACC1 as a predominant cancer-associated isozyme. Inhibition of ACC by small molecules reduced BC viability in vitro and inhibited tumor development in vivo [138]. Bacci et al. reported that ACC1 mobilized lipids in estrogen-deprived BC cells, causing anti-estrogen treatment resistance. Pharmacologically inhibiting ACC1 in patient-derived xenograft models decreased tumor growth and enhanced animal survival, suggesting that ACC1 might better sensitize ER + breast cancer to endocrine therapies [139]. However, the role of ACC in BC remains a topic of debate. While targeting ACC is widely recognized as a strategy to inhibit fatty acid synthesis, some studies suggest that activating ACC1 may also help prevent BC metastasis [140]. A previous study has shown that ACC inhibition is pivotal in the development of the pre-metastatic niche in lung metastasis of BC. Specifically, pathological downregulation of ACC in lung fibroblasts leads to lipid metabolism abnormalities, fibroblast senescence, and inflammatory factors that collectively contribute to promoting BC metastasis [141]. Meanwhile, down-regulation of ACC1 increases acetyl-CoA levels, leading to Smad2 acetylation and EMT in BC cells. Mechanistically, leptin and TGFβ suppressed ACC1 function through inhibitory phosphorylation mediated in part by the TAK1 kinase. Significantly, they discovered that inactive ACC1 phosphorylation levels were associated with the metastatic potential of BC [142]. Viewed together, these studies indicate that ACC acts as a double-edged sword in BC, and the mechanism behind it needs to be clarified further.

Stearoyl-CoA desaturase

Stearoyl-CoA desaturase (SCD) is a membrane protein located in the endoplasmic reticulum that catalyzes the conversion of SFAs into MUFAs. The MUFAs generated by SCD are vital constituents of cellular membrane phospholipids, triglycerides, and cholesterol esters, rendering SCD essential for energy storage, membrane fluidity maintenance, and regulation of cellular metabolism [143]. Lipid desaturation is a crucial mechanism for the survival of cancer cells. Thus, targeting SCD might effectively restrict tumor growth, particularly in the metabolically challenged circumstances of the tumor microenvironment [144]. Overexpression of SCD1 has been reported in various human cancers and carcinogen-induced tumors, leading to increased membrane fluidity [145], which in turn facilitates the migration of malignant cells [146]. At the patient level, SCD1 is markedly increased in breast adipose tissue adjacent to malignant tumors in comparison to benign tumors [147]. SCD1 expression has been found to be elevated in recurrent human BC samples, correlating with poorer prognoses [42]. BC patients with high SCD1 levels had significantly shorter RFS and OS. Since SCD1 was significantly lower in TNBC, SCD1 might only be useful as a target in HR + and HER2 + breast cancers [148].

Furthermore, elevated cytoplasmic levels of SCD1 serve as a predictor of residual disease in patients with HER2-positive BC who have undergone trastuzumab-based neoadjuvant treatment [149].

Studies have shown that SCD1 is involved in malignant phenotypes, recurrence, and therapy resistance of BC. Several studies have revealed that silencing SCD1 in BC cells produces the strongest inhibitory effect on cell proliferation, underscoring the critical role SCD1 plays in malignant progression [144, 150, 151]. Reciprocally, upregulation of the SCD1 gene accelerates cell proliferation and migration, significantly enhancing tumorigenic potential [143].

Additionally, SCD1 and its catalytic product, oleic acid, are pivotal in facilitating the migration and invasion of ErbB2-overexpressing BC cells [152]. Alterations in SCD1 activity are correlated with modifications in the migratory characteristics of TNBC cells, including variations in speed, direction, and cell morphology [153]. The major signaling pathways involved in SCD1 activity are the PI3K/AKT and Wnt signaling pathways. SCD1 silencing has been reported to impede GSK3 phosphorylation, resulting in reduced β-catenin translocation to the nucleus, hence diminishing the expression of its target genes [154]. MUFAs products generated by SCD1 can bind to Wnt-related proteins, facilitating their intracellular transport [155]. SCD1 is also a key target of the PI3K-AKT-mTOR pathway, which contributes to resistance to ferroptosis in TNBC [156, 157]. In summary, while the molecular mechanisms involving SCD in BC are beginning to be elucidated, there is a critical need for clinical studies to evaluate how inhibition of SCD improves the prognosis of BC.

Dysregulation of cholesterol synthesis in BC

Overview of cholesterol synthesis metabolism

Cholesterol, a crucial lipid component, serves as an essential structural element of cell membranes, affecting substance transport, controlling membrane fluidity and stability, and engaging in membrane signaling events, including the formation of lipid rafts. Additionally, cholesterol acts as a precursor for steroid hormones, bile acids, vitamin D, and oxysterols, making it essential for cellular development and function [158160]. Cells can synthesize cholesterol de novo or acquire it from dietary sources via lipoproteins. However, organisms primarily rely on the uptake of exogenous cholesterol to reduce the energy costs of cholesterol biosynthesis. In humans, cholesterol is mainly transported through low-density lipoprotein (LDL) and high-density lipoprotein (HDL). LDL is taken up by cells through LDL receptors (LDLR) and hydrolyzed by lysosomal enzymes into FAs and cholesterol [161]. Tumor cells exhibit an increased lipid requirement for activities such as supporting membrane synthesis, maintaining membrane rigidity, and sustaining the high growth rate and functionality of cancer cells [162]. The intracellular cholesterol accumulation in tumor cells can be increased by reducing cholesterol efflux and enhancing cholesterol uptake through receptor-mediated LDL endocytosis, but it is largely met by de novo cholesterol biosynthesis [163]. Cholesterol synthesis primarily takes place in the endoplasmic reticulum (ER) and is subsequently transported to other cellular membranes through various cellular mechanisms [164]. Endogenous cholesterol synthesis begins with acetyl-CoA and proceeds through the mevalonate pathway, generating intermediates such as 3-hydroxy-3-methylglutaryl-CoA (HMG-CoA), mevalonate (MVA), and squalene [165]. Acetyl-CoA reacts to form HMG-CoA, which is subsequently reduced to MVA by HMG-CoA reductase (HMGCR). HMGCR functions as the principal rate-limiting enzyme in the cholesterol biosynthesis pathway, assuming a pivotal role in the process [166]. Another critical step in cholesterol synthesis involves the oxidation of squalene monooxygenase (SQLE) to form 2,3-oxidosqualene, which is then cyclized into lanosterol. SQLE is recognized as the second rate-limiting enzyme in cholesterol synthesis. Studies indicated that SQLE was found to be highly expressed in aggressive BC and served as an independent prognostic factor for poor outcomes in BC patients [167].

Cholesterol biosynthesis is tightly regulated by transcription factors, primarily including sterol regulatory element-binding proteins 1 and 2 (SREBP-1 and SREBP-2) and nuclear receptors such as the liver X receptor (LXR) [168]. Among these, SREBP-2 plays a central role in controlling cholesterol biosynthesis. Intracellular cholesterol levels are modulated by the coordinated actions of SREBPs and LXRs [169]. In the nucleus, these factors bind to sterol response elements (SREs) to activate the expression of cholesterol biosynthetic enzymes such as HMGCR and SQLE. SREBPs have also been identified as downstream targets and effectors of oncogenic signaling pathways, including the pRb, Myc, PI3K-AKT, and mTORC-1 pathways [170]. Activated LXR induces the expression of ABC transporters, which facilitate cholesterol efflux and reduce cholesterol synthesis [171]. In cancer cells, elevated SREBP activity supports high intracellular cholesterol levels, which are essential for sustaining rapid cell proliferation [172]. Furthermore, it is important to highlight that cholesterol metabolism is intricately associated with tumor proliferation, invasion, metastasis, immune evasion, and resistance to chemotherapeutic agents. Since cholesterol plays a key role in membrane formation and elevated cholesterol levels increase membrane rigidity, reducing drug permeability and leading to resistance, while lower cholesterol levels enhance membrane fluidity, making cancer cells more prone to invasion and metastasis [173, 174]. Therefore, therapeutic strategies targeting cholesterol metabolism may provide new ideas for the treatment of cancer.

Associations between serum cholesterol levels and BC incidence

Metabolic syndrome and obesity are recognized as significant risk factors for BC [175, 176]. Similarly, elevated levels of cholesterol, very-low-density lipoprotein (VLDL), and LDL, which are common comorbidities of obesity, are also considered risk factors for BC. However, the relationship between serum cholesterol levels and BC incidence remains inconclusive in epidemiological studies [177]. Some studies suggest an inverse correlation between cholesterol levels and BC risk, indicating that higher serum cholesterol levels may reduce the risk of BC, particularly for total cholesterol and LDL cholesterol levels [178181]. A large retrospective longitudinal cohort study revealed that women over 40 years old with high cholesterol had a 45% reduced probability of developing BC compared to women without high cholesterol. Notably, BC patients with elevated cholesterol levels had a 40% decreased chance of mortality [182]. Additionally, a meta-analysis also reported a slight negative correlation between total cholesterol and breast cancer risk, particularly prominent in premenopausal women [183]. In contrast, several studies have shown a strong positive association between blood total cholesterol levels and BC risk [184]. For instance, a large prospective study in Korea found that high total cholesterol levels were positively correlated with prostate cancer, male colorectal cancer, and female BC, while showing an inverse correlation with the overall risk of liver, stomach, and lung cancer [185]. Furthermore, a meta-analysis has revealed a significant positive correlation between high dietary cholesterol intake and breast cancer risk [186]. However, numerous studies have not successfully shown a definitive correlation between blood cholesterol levels and the risk of BC [187192]. Studies investigating the impact of cholesterol levels on BC risk in premenopausal and postmenopausal women have also yielded mixed results. A study reported that overweight and obese postmenopausal women were at an increased risk of BC, and those with high cholesterol intake had a 48% higher risk of developing BC [193]. Similarly, a prospective study in Korea also indicated that postmenopausal women with higher serum total cholesterol levels had an increased risk of BC compared to those with lower levels [184]. However, after adjusting for body mass index, the impact of elevated cholesterol became less significant, indicating that obesity is a more essential risk factor than elevated cholesterol levels. In summary, while much evidence indicates a correlation between blood cholesterol levels and BC risk, the results are contradictory across studies. The above variations may be affected by demographic traits, lifestyle factors, and dietary choices, highlighting the complexity of this relationship. This inconsistency underscores the need for further research to clarify the potential mechanisms and interactions involved in this relationship, particularly considering the influence of other factors such as diet and metabolic health.

The role of oxidized low-density lipoprotein and its receptors in BC

Oxidized low-density lipoprotein (ox-LDL) represents a modified form of LDL that arises from oxidative processes. Aberrant lipid metabolism within cells can lead to lipotoxicity, subsequently inducing oxidative stress and significantly increasing reactive oxygen species levels. This increase of oxidative stress facilitates the gradual oxidation of LDL to ox-LDL intracellularly [194]. Ox-LDL has traditionally been investigated as a biomarker for cardiovascular diseases [195, 196]. However, recent studies have increasingly focused on its potential association with cancer. Elevated levels of Ox-LDL and its receptors, such as oxidized low density lipoprotein receptor 1 (OLR1) and CD36, have been associated with an elevated risk of various malignancies, including colorectal, breast, esophageal, prostate, and pancreatic cancers [197202]. With regard to breast cancer, elevated ox-LDL levels have been detected in the plasma of BC patients, and there is a positive correlation between increased plasma ox-LDL levels and BC risk [203]. OLR1 is overexpressed in 70% of human BC, and it has been shown to be positively correlated with tumor grade and stage [204]. Current studies demonstrate that ox-LDL and its receptor participate BC progression through regulation of immune microenvironment and pro-inflammatory reactions. In breast epithelial cells, ox-LDL induces the upregulation of miR-21, which subsequently activates the PI3K/Akt pathway, thereby promoting cell proliferation and inhibiting apoptosis [205]. OLR1 also significantly influences the infiltration levels of M2 macrophages and is implicated in the metastasis and invasion of BC cells [206, 207]. Ox-LDL can stimulate tumor proliferation and progression by participating in various pro-inflammatory signaling pathways. Studies have shown that OLR1 is involved in activating the TNFα/NF-κB pro-inflammatory signaling pathway, leading to the inhibition of apoptosis and stimulation of proliferation in BC cells [208]. Furthermore, TNFα can upregulate the expression of OLR1, promoting the adhesion and trans-endothelial migration of BC cells. Blocking the function of OLR1 significantly reduces the migration of BC cells [209]. Notably, Yu et al. found that tamoxifen could downregulate CD36 expression in macrophages by inactivating the PPARγ signaling pathway, thereby reducing the cellular levels of ox-LDL [210]. Overall, the involvement of ox-LDL and its receptor in BC progression underscores the complex interplay between lipid metabolism, inflammation, and the immune microenvironment in cancer. Targeting these pathways may offer new therapeutic strategies for managing BC and improving patient outcomes.

The role of cholesterol metabolism-related genes in BC

In cancer cells, intracellular cholesterol is often elevated through the upregulation of key enzymes or transcription factors involved in cholesterol biosynthesis, such as HMGCR, SQLE, SR-BI and SREBPs [211]. The mevalonate pathway, in which HMGCR plays a pivotal role, has been demonstrated to serve a crucial role in the initiation and progression of BC. Overexpression of metabolic genes in this pathway, including HMGCR, has been associated with adverse prognostic outcomes of BC [212, 213]. In contrast, studies focusing on different BC subtypes revealed that patients exhibiting elevated HMGCR expression had enhanced RFS and OS, indicating that HMGCR may function as a beneficial prognostic biomarker [214216]. In preclinical experiments, HMGCR is frequently upregulated, resulting in increased cholesterol synthesis that promotes tumorigenesis and lung metastasis of BC [217]. Additionally, HMGCR promotes a stem cell-like phenotype in epithelial BC cells, consequently affecting tumor initiation and progression [218]. The expression of HMGCR is a crucial factor in statin resistance in BC cells, and targeting HMGCR with statins and its transcriptional regulation may effectively address statin resistance in tumor cells [219, 220]. In addition to HMGCR, SQLE is another key rate-limiting enzyme in cholesterol biosynthesis that has gained attention for its role in BC. SQLE expression was markedly elevated in BC, and elevated SQLE expression levels were substantially correlated with a poor prognosis [167, 221]. In vitro experiments demonstrated that SQLE accelerates BC progression by promoting tumor cell proliferation and migration. The inhibition of SQLE significantly reduced the survival rate of cells and prolonged their cell cycle [222, 223]. These findings offer significant insights into the role of HMGCR and SQLE in the pathogenesis of BC and indicate their potential as therapeutic targets for its treatment.

Scavenger receptor class B type I (SR-BI) acts as the receptor for HDL that facilitates selective uptake of HDL-C into cells. Overexpression of SR-BI in tumors enhances the uptake of HDL-C by cancer cells [224]. SR-BI is highly expressed in BC tissues, and overexpression of SR-BI is associated with increased tumor invasiveness, higher risks of recurrence, and poorer OS [225227]. HDL promotes BC cells proliferation and exhibits anti-apoptotic effects in an SR-BI-dependent manner. Inhibiting SR-BI reduced HDL uptake and subsequently suppressed BC cells migration and tumor growth [228]. Furthermore, in vitro studies indicate that SR-BI facilitates tumor progression via the AKT and ERK1/2 signaling pathways in BC. The knockdown of SR-BI reduced the activation of the MAPK and PI3K/Akt pathways induced by HDL [228]. Sterol regulatory element-binding proteins (SREBPs) are a class of transcription factors that primarily regulate the expression of genes involved in cholesterol and lipid metabolism [229]. Among them, SREBP-2 primarily regulates genes associated with cholesterol synthesis and is activated in response to low intracellular cholesterol levels. The expression of SREBP-2 is significantly higher in invasive BC tissues compared to normal breast tissues. Knockdown of SREBP-2 significantly reduces the expression of key matrix-degrading enzymes involved in tumor invasion and metastasis, suggesting that SREBP-2 may contribute to BC tumorigenesis and metastasis [230]. Similarly, the mRNA and protein levels of SREBP-1 are significantly overexpressed in BC compared to adjacent non-cancerous tissues. SREBP-1 correlates with unfavorable prognostic characteristics, whereas the knockdown of SREBP-1 inhibits the migration and invasion of BC cells [231]. Multiple signaling pathways regulate SREBP-2 activation to control the mevalonate pathway. For example, the tumor suppressor gene p53 can block SREBP-2 activation by mediating the transcriptional upregulation of ABCA1, which reduces the transcription of mevalonate pathway genes [232]. In contrast, mutant p53 enhances SREBP-2 activity by recruiting it to the promoters of genes encoding enzymes of the mevalonate pathway, thereby increasing the activity of multiple oncogenic pathways and promoting cancer progression [232]. Thus, targeting SREBPs to inhibit the mevalonate pathway has been explored as a therapeutic strategy for various cancers.

The role of cholesterol-driven signaling pathways in BC

Cholesterol not only serves as an energy source for cells but also acts as a precursor for the synthesis of numerous essential cellular components. One critical structure formed by cholesterol is the lipid raft. Lipid rafts are highly dynamic, detergent-resistant microdomains within the plasma membrane that are enriched in cholesterol and sphingolipids [233]. Lipid rafts, which are rich in signaling molecules, play a crucial role in regulating signal transduction by modulating phosphorylation cascades associated with various physiological processes [234, 235]. Lipid rafts provide essential platforms for growth factors, receptor tyrosine kinases, and their downstream mediators, promoting cell proliferation and survival [236]. The MAPK pathway and the activation of EMT are known to be critical pathways for cell migration and invasion [237], with MAPK activation being highly dependent on the integrity of lipid rafts [238]. In addition to the MAPK pathway, cholesterol accumulation mediated by PI3K/Akt through the activation of SREBP proteins can lead to therapeutic resistance [239, 240]. Furthermore, loss of PTEN results in hyperactivation of the PI3K signaling pathway, leading to increased expression of SQLE and other cholesterol synthesis enzymes, thereby promoting tumor progression [241]. Cholesterol is also a key regulator of EGFR signaling pathways to drive proliferation, invasion, and therapy resistance. LDL cholesterol enhances the invasiveness of TNBC cells by activating EGFR and its downstream Src and ERK signaling pathways [55]. Studies on the therapeutic effects of targeted tyrosine kinase inhibitors (TKIs) in BC have demonstrated that cholesterol localized in lipid rafts promotes resistance to EGFR-TKIs by activating EGFR-associated pathways [242]. Depleting cholesterol from lipid rafts not only inhibits EGFR signaling but also significantly alters ERK phosphorylation and mitochondrial apoptosis pathways [243]. In conclusion, cholesterol, as a key component of lipid rafts, plays an important role not only in the structure and function of cell membranes, but also participates in multiple signaling pathways that contribute to BC progression.

Cholesterol is a key component in hormone synthesis and serves as a precursor for estrogen production, which is crucial for the maintenance of the female reproductive system [244]. Among estrogens, estradiol is the most active form and can regulate the activity of the smoothened (SMO) protein. In BC, increased cholesterol synthesis promotes excessive estradiol production, which enhances SMO activity. Activated SMO stimulates the Sonic Hedgehog (SHH) signaling pathway in the nucleus, leading to uncontrolled cell proliferation [245, 246]. In ER-positive BC, estrogen and ER activation stimulate the proto-oncogene Src, subsequently activating downstream pathways such as RAS-MAPK, PI3K/AKT, and mTOR. These pathways promote the expression of cholesterol biosynthesis-related genes, further enhancing cancer cell proliferation and migration [247]. Furthermore, the activation of the mevalonate pathway diminishes the inhibitory function of the Hippo pathway, resulting in enhanced YAP/TAZ activity. YAP/TAZ further translocate to the nucleus and activate downstream target genes, promoting the growth and metastasis of BC cells [248]. Estrogen-related receptor α (ERRα) is a transcription factor that does not bind estrogen directly. ERRα is expressed in most types of BC cells, and increased ERRα activity correlates with unfavorable prognoses in BC patients [249]. Both in vitro and in vivo studies have demonstrated that knockdown of ERRα significantly inhibits the growth of ER + BC and TNBC [250, 251]. Notably, cholesterol acts as an endogenous ligand for ERRα, enhancing its transcriptional activity [252]. Studies have shown that cholesterol increases the interaction between ERRα and peroxisome proliferator-activated receptor gamma coactivator 1 (PGC-1) and further activates ERRα-related target genes, which ultimately promotes BC cells proliferation and migration [253]. In addition, cholesterol was reported to promote the maintenance of cancer stem cell-like (CSC) populations and therapy resistance through the activation of the ERRα pathway [254]. In summary, cholesterol promotes malignant progression of BC through various signaling pathways. The synergistic interplay among these pathways makes cholesterol metabolism as a crucial regulatory element in BC, underscoring the potential of targeting cholesterol-related signaling pathways as an innovative approach for treatment. In this section, we systematically describe the lipid synthesis in BC involved in metabolic pathways, key enzymes, ligand-receptor interactions, and signaling pathways (Fig. 2).

Fig. 2.

Fig. 2

The dysregulation of lipid synthesis and related pro-oncogenic signaling pathways involved in BC development. The mitochondrial TCA cycle produces Ac-CoA, which is transformed to citrate and delivered to the cytoplasm. Citrate is transformed to Ac-CoA by ACLY, entering the lipid synthesis pathway. ACC and FASN convert Ac-CoA to SFA in the cytoplasm, constituting the basic structure of cellular membranes. Some of these SFAs are converted to MUFAs by SCD1, which increases membrane fluidity and flexibility. The Ac-CoA is converted to cholesterol through the mevalonate pathway. HMGR and HMGCS further synthesize cholesterol, which forms lipid rafts in the cell membrane. Lipid rafts provide aggregation platforms for receptors like EGFR/HER2 and ER, facilitating the clustering and activation of signaling molecules. Additionally, synthesized FAs serve not only structural roles but are also stored in the cytoplasmic FA pool. Under high energy demands, FAs are transported into mitochondria for β-oxidation, generating steady energy for BC cells metabolism. The lipid metabolic pathway is regulated by multiple signaling pathways particularly the mTOR and PI3K/AKT pathways. These pathways activate transcription factors, including SREBP1/2 to upregulate ACLY, ACC, SCD1, and FASN, maintaining BC cells lipid and energy production efficiency. In hormone-dependent BC, estrogen activates the PI3K/AKT pathway via ER, boosting lipid production and imparting cancer cells greater proliferative potential and drug resistance. Lipid synthesis is a crucial metabolic pathway, promoting BC cells proliferation, EMT, and drug resistance, particularly exacerbating malignant traits in hormone-dependent BC. Abbreviations: TCA, Tricarboxylic Acid Cycle; Ac-CoA, Acetyl-Coenzyme A; ACLY, ATP Citrate Lyase; SFA, Saturated fatty acids; MUFA, Monounsaturated fatty acids; ACC, Acetyl-CoA Carboxylase; FASN, Fatty Acid Synthase; SCD, Stearoyl-CoA Desaturase 1; HMGCS, 3-Hydroxy-3-Methylglutaryl-CoA Synthase; HMGCR, 3-Hydroxy-3-Methylglutaryl-CoA Reductase; ER, Estrogen Receptor; EMT, Epithelial-mesenchymal transition

Dysregulation of lipid catabolism in BC

Landscape of fatty acid oxidation in BC

Fatty acid oxidation (FAO) is a complex metabolic mechanism that transforms long-chain fatty acids into acetyl-CoA in the mitochondria [255]. Subsequently, acetyl-CoA is fully oxidized via the tricarboxylic acid (TCA) cycle and the electron transport chain (ETC) to generate adenosine triphosphate (ATP) [256]. CPT1 catalyzes the conversion of fatty acyl-CoA to fatty acyl-carnitine at the outer mitochondrial membrane. Acylcarnitine is then carried into the mitochondrial matrix via carnitine/acylcarnitine translocase, located on the inner mitochondrial membrane [257, 258]. The CPT2 enzyme, located on the matrix side of the inner membrane, is mainly responsible for converting acylcarnitine into acyl-CoA [259]. The cleavage of acyl-CoA into acetyl CoA within the mitochondrion is executed through a cyclic sequence of four steps, involving the sequential actions of acyl-CoA dehydrogenase, hydroxyacyl-CoA dehydrogenase, enoyl-CoA hydratase, and 3-ketoacyl-CoA thiolase [260, 261].

Finally, acetyl-CoA is transferred into the TCA cycle for oxidative phosphorylation to generate ATP. Besides ATP, FAO also produces cytosolic NADPH, which provides cancer cells with redox power to combat oxidative stress [262]. Even though FAO produces significant amounts of ATP, the Warburg effect has been the focus of most previous studies on cancer bioenergetics [263]. However, the roles of FAO in cancer cells have gained more and more attention recently.

FAO activity is significantly elevated in several cancers, including gastric cancer, breast cancer, colorectal cancer, renal cell carcinoma, acute myeloid leukemia, and esophageal squamous cell carcinoma [264268]. It has been demonstrated that FAO is crucial for sustaining malignant cancer phenotypes [269]. Tumor cells are able to evade death by developing resistance to chemotherapy, which is a primary factor contributing to treatment failures [270]. Notably, the level of FAO is increased in chemoresistant MDA-MB-231 cells, and FAO is implicated in the resistance of TNBC to chemotherapy [271]. In addition, tumor cells in metastatic lymph node are critically dependent on FAs as an energy source due to the lipid-rich microenvironment of lymph nodes [272, 273]. It has been observed that FAO can accelerate the homing of circulating tumor cells to lymph nodes [274]. Moreover, FAO contributes to the metastatic phenotype by potentially influencing the regulation of cancer stem cells, and disrupting FAO pathways can lead to depletion of the stem cell population [275]. Therefore, the regulation of FAO plays a crucial role in the progression of cancer, and focusing on this mechanism may present a viable therapeutic strategy for cancer treatment.

When viewed as a whole, different BC cells exhibit heterogeneous metabolic preferences and energy dependencies [20]. Bulk and single-cell transcriptome profiling uncovered that BC tumors were classified into two energy-related metabolic subtypes. And subtype 2 exhibits a dependency on FAO, which predicts a better survival prognosis [276]. Several studies highlighted that transcription factors served as important regulators for driving FAO in BC. MYC, as a known regulator of metabolic reprogramming, is sufficient to stimulate FAO in human mammary epithelial cells [277].Camarda et al. reported that FAO was upregulated in a mouse model of MYC-overexpressing TNBC, as well as in tumors from patients with BC. Inhibition of FAO, using the CPT1 inhibitor etomoxir, blocked tumor growth in both a MYC-driven transgenic TNBC mouse model and in a patient-derived xenograft model of MYC-overexpressing TNBC [278]. Furthermore, obesity-induced metabolic reprogramming to FAO and mitochondrial oxidative phosphorylation, which was accompanied by coordinated activation of YAP signaling [279]. In addition, blocking JAK/STAT3 signaling downregulated several key lipid metabolism genes in breast cancer stem cells, including the rate-limiting enzyme CPT1 for FAO [271]. Overall, the intricate network of transcription factors regulating FAO in BC underscores the importance of these molecular players in cancer metabolism.

The role of FAO in BC resistance and metastasis

Although treatments for BC have progressed in recent decades, resistance and metastases still remain the most common reasons for treatment failures [280]. Recently, FAO has received prominent attention for its critical role in resistance. ER + endocrine-resistant cancer cells exhibit greater dependence on FAO than primary cells. Meanwhile, a synergistic effect was also observed when endocrine therapy and FAO inhibitors were combined in vitro [281283]. Jiang et al. observed that the FAO rate and ATP production increased in tamoxifen-resistant ER-positive BC cells. Mechanistically, c-Jun recruits CBP/P300 to the CPT1A promoter, initiating CPT1A transcription in ER-positive BC cells [284]. Wang et al. demonstrated that leptin from mammary adipocytes activated STAT3, leading to increased CPT1B expression and FAO in BC stem cells. Thus, blocking FAO and leptin re-sensitizes them to chemotherapy and inhibits BC stem cells in mouse breast tumors [271]. Li et al. found that FAO reprograms phospholipid biosynthesis through acetylated STAT3-mediated upregulation of ACSL4, which increases mitochondrial membrane potential and counteracts the mitochondrial apoptotic pathway in chemoresistant TNBC cells [285]. Moreover, radioresistant BC cell lines exhibit higher activity mitochondrial FAO metabolism, which is accompanied by increased levels of CPT1A/CPT2 [286]. As research continues to unravel the complexities of cancer metabolism, FAO emerges as a critical player in the resistance mechanisms of BC, warranting further investigation into its therapeutic targeting.

The role of FAO in the metastasis of BC is still a matter of intense research. BC brain metastases cause significant mortality and remain an important clinical challenge [287]. Latent brain metastatic cells survive the lipid-rich brain milieu by mitochondrial FAO, and targeting mitochondrial plasticity suppressed the growth of latent metastatic cells in BC preclinical models [288]. Another study found that metastatic TNBC maintained high levels of ATP through FAO, and inhibition of FAO could reduce metastatic characteristics in patient-derived xenografts [289]. EMT-associated genes such as TGF-β and snail were reported to promote the survival and motility of BC cells by enhancing catabolic FAO activity [290, 291]. One of the main mechanisms is that mesenchymal cells channel FAs toward FAO for energy production, and acetyl-CoA is made from the production of FAO, which epigenetically regulates EMT target genes, indicating that FAO is a metabolic "gateway" for cell state transitions in BC [292]. Besides, increasingly more studies have recognized the critical factors influencing BC metastasis via FAO. CDCP1 promotes TNBC metastasis by reducing lipid droplets abundance and enhancing lipid accumulation in mitochondria for FAO. Mechanistically, CDCP1 regulates these processes, in part, by directly inhibiting ACSL activity [293]. Furthermore, the ZEB2/ACSL4 axis is a novel metastatic metabolic pathway that leads to increased BC invasion and metastasis through the stimulation of lipogenesis and FAO [294]. In summary, these findings suggest the critical roles of FAO in BC resistance and metastasis, and molecular mechanisms are revealed from different directions. However, whether targeting FAO has a promise for clinical applications in BC depends on the results of reliable clinical trials.

Carnitine palmitoyltransferases in BC

Carnitine palmitoyltransferases (CPTs) convert carnitines into fatty acyl carnitines in the FAO process and are regarded as a crucial enzyme [295]. CPT1A levels in serum are positively correlated with BC progression, potentially serving as a disease-monitoring indication [296]. Furthermore, clinical evidence supports the association of elevated CPT1C levels with poor outcomes in terms of OS, disease-free survival (DFS), progression-free survival (PFS), and disease-specific survival (DSS) among basal-like breast cancer patients (BLBC) [297]. From cellular and animal experiments, the CPT1A-mediated FAO has a cancer-promoting effect in BC cells. Overexpression of CPT1A promotes proliferation of ER-positive BC cells through FAO [298]. CPT1A was also reported to regulate breast cancer-associated invasion and lymphangiogenesis via regulating VEGFR-3 signaling. [299]. Cancer-specific nuclear CPT1A variant 2 interacts with HDAC1 to regulate epigenetic regulation of genes related to cell death and invasion in cancer, offering a promising direction for improving BC treatment strategies [300]. Recently, the role of CPT1C, an isoform of CPT1, in BC has been gradually emphasized. Silencing CPT1C in BC cells leads to lipid remodeling characterized by enhanced phospholipid saturation and chain length, which contributes to increased drug impermeability and chemoresistance [301]. The expression of CPT1C in BC xenografts correlates inversely with activation of the mTOR pathway and rapamycin sensitivity [302].The inhibition of CPT1C expression has been shown to hinder tumor growth and pulmonary colonization of BLBC cells in vivo [297]. In summary, the investigation of CPTs in BC is still in its infancy stage, and the molecular mechanism of CPT1A-mediated FAO in BC biology still needs further exploration.

Lipid peroxidation and ferroptosis in BC

Lipid peroxides, derived from PUFAs, are detrimental to cells and tissues [303]. Lipid peroxidation is implicated in various forms of cell death, such as apoptosis, necroptosis, ferroptosis, and pyroptosis, which are linked to inflammation, neurodegenerative diseases, and cancer [304]. Recent years have seen an increased scholarly emphasis on lipid peroxidation, especially regarding ferroptosis, a cell death mechanism defined by iron-dependent lipid peroxidation [305]. Ferroptosis is triggered by dysregulation of intracellular redox homeostasis, which triggers lipid peroxidation and eventually disrupts membrane integrity, leading to cell death [306].Ferroptosis exerts an important inhibitory effect on tumor progression, and targeting ferroptosis may lead to a major breakthrough in cancer therapy. Breast tumors contain high levels of lipid and iron, suggesting that inducing ferroptosis in breast cancer may be a viable treatment strategy [307]. Ferroptosis susceptibility varied markedly among various BC subtypes. GPX4 is specifically elevated in luminal BC, with luminal BC cell lines showing high sensitivity to GPX4 inhibitors [308]. TNBC subtypes also display unique features concerning ferroptosis, particularly the luminal androgen receptor (LAR) subtype, which demonstrates an upregulation of ferroptosis-related pathways, indicating a possible vulnerability to ferroptosis [309]. Both basal and TNBC tumors exhibit high levels of CD274 and key regulators of ferroptosis, including IFNG, TNFAIP3, and IDO1. Thus, the potential synergistic effects of combining ferroptosis inducers with anti-PD-L1 immunotherapy are proposed for the treatment of TNBC [310]. Additionally, the status of the ferroptosis regulators ACSL4/GPX4 was identified as a potential independent predictive factor for achieving pathological complete response (pCR) for BC patients undergoing neoadjuvant chemotherapy [311]. In summary, the rich lipid and iron content of breast tumors presents a unique opportunity for the application of ferroptosis as a therapeutic strategy.

Recent evidence has suggested that BC cells are inhibited by Fer-1 or deferoxamine, and increased ROS and death of BC cells are caused by ferroptosis inducers erastin and RSL3 [312]. Moreover, inhibition of the xCT ferroptosis signaling pathway using erastin and SAS promotes ferroptosis, resulting in increased ROS accumulation in TNBC cells [313, 314]. Fatty acid desaturases 1 and 2 (FADS1/2) are the key enzymes involved in the biosynthesis of PUFAs. Notably, a novel study also reported that TNBC with high FADS1/2 expression was susceptible to ferroptosis-inducing agents, and that ablation of FADS1/2 resulted in a decrease in the PUFA/MUFA ratio and rendered TNBC insensitive to pro-ferroptosis agents [315]. Recent studies indicate a strong link between ferroptosis and chemotherapy resistance in BC. Ferroptosis markers were elevated in BC tissues relative to normal tissues, and resistance to Adriamycin in BC is linked to the modulation of iron ion-mediated ferroptosis [316]. Ferroptosis has been shown to efficiently target breast cancer stem cells (BCSCs), a cell subpopulation recognized for its resistance to conventional treatments. Treatment-induced ferroptosis, especially with salinomycin, has shown increased effectiveness and specificity in eradicating BCSCs by promoting the accumulation and sequestration of iron in lysosomes [317, 318]. Beyond that, inhibiting Gpx4 expression can reduce TNBC resistance to DOX and enhance chemotherapy's therapeutic effect by inducing ferroptosis [319]. Ferroptosis in BC cells is influenced by the tumor microenvironment (TME), in particular immune cells. Oleic acid secreted from adipocytes inhibited lipid peroxidation and ferroptosis through its interaction with ACSL3 in TNBC [320]. Interferon-γ produced by CD8 + cytotoxic T cells suppresses cystine uptake by cancer cells through the downregulation of SLC7A11, leading to lipid peroxidation and ferroptosis in BC [321]. Overall, as an emerging research hotspot in tumor research, inhibiting ferroptosis could be a promising therapeutic strategy for BC. However, the identification of this vulnerable BC population and the best candidate drugs underscores the need for developing highly specific ferroptosis inhibitors. In this part, we explore the effect of FAO on BC metastasis and resistance, and we also discuss the role of ferroptosis in BC progression and TME (Fig. 3).

Fig. 3.

Fig. 3

FAO signaling pathway and ferroptosis in BC. 1) FAs are catalyzed by ACSLs to produce acyl-CoA, which is subsequently converted to CPT1 on the outer mitochondrial membrane. The cleavage of acyl-CoA into acetyl CoA in mitochondrion is aided by β-oxidation. FAO is involved in various facets of malignant behaviors in BC, encompassing energy production and redox equilibrium for cancer cell proliferation, drug resistance, metastasis, and the EMT. 2) Transcription factors such as Myc, AR, and STAT3 serve as significant regulators in BC. Modifications in these genes subsequently enhance the expression of crucial enzymes implicated in fatty acid oxidation and ferroptosis. Furthermore, acyl-CoA generated by fatty acid oxidation serves as a crucial cofactor in the post-translational acetylation of histones. Transcriptional and posttranscriptional regulatory mechanisms result in lipid metabolic changes in BC. 3) Ferroptosis is an acknowledged kind of programmed cell death induced by reactive oxygen species-mediated lipid peroxidation, which directly leads to cell death characterized by the degradation of lipid membranes. Ferroptosis inducers erastin and RSL3 elevate ROS and iron levels and induce the mortality of BC cells. In TME, oleic acid released from adipocytes prevented lipid peroxidation and ferroptosis. Interferon-γ generated by CD8 + cytotoxic T lymphocytes causes the downregulation of SLC7A11, resulting in lipid peroxidation and ferroptosis in BC. Abbreviations: FAs, fatty acids; TME, tumor microenvironment; BC, breast cancer; ROS, reactive oxygen species; PUFA, polyunsaturated fatty acids; FAO, fatty acid oxidation; EMT, epithelial–mesenchymal transition

Fatty acid storage

Lipid droplets (LDs), which are composed of neutral lipids, are essential for maintaining lipid homeostasis, signaling, and energy equilibrium inside the cell [322]. One notable characteristic of cancer cells is their abundance of cellular LDs, indicative of heightened lipid metabolic activity in comparison to normal cells [323].The lipid metabolism in tumor cells is evidenced by elevated rates of lipid uptake and synthesis, as well as activation of the de novo fatty acid synthesis pathway, resulting in the production of significant quantities of FAs. These FAs are subsequently converted into glycerides by acyltransferases and stored within LDs [10, 324]. Due to their ability to act as phospholipid reservoirs, LDs can also provide phospholipid membranes so that cancer cells can synthesize membranous organelles fast enough to sustain rapid proliferation [325]. In addition, LDs accumulate in cancer cells under hypoxic conditions, potentially serving as a metabolic energy source and intermediates to mitigate oxidative stress, thereby promoting growth and invasiveness upon reoxygenation [326, 327]. Additionally, LDs are essential for supplying energy and maintaining the survival of CSCs via activating pathways linked to cancer stemness [328]. Existing evidence suggests that CSCs exhibit elevated LD levels compared to non-stem cancer cells [329]. Thus, to sum up, LDs play a significant role in cancer progression by providing resistance to cell death through maintenance of redox homeostasis, provision of energy for proliferation, metastasis, and facilitation of communication between cancer cells and TME.

The role of LDs in BC is becoming increasingly clear. First, LDs are dynamic cytoplasmic organelles that provide energy metabolism substrates as well as a lipid reservoir for BC cells. Exogenous unsaturated fatty acids are often required for the survival of cancer cells under stressful conditions [330]. Previous data showed that LDs serve as transient reservoirs for unsaturated fatty acids, such as ω−3 and ω−6 PUFAs, offering protection against lipotoxicity and nutrient deprivation by releasing these FAs gradually as required for TNBC cells survival [331]. Likewise, BC cells absorb extracellular fatty acids from the surrounding adipose tissue and store them in LDs [332, 333]. Secondly, the dysfunction of LDs is now recognized as a contributing factor to BC's development and progression. Aggressive BC cells with ras oncogenic mutations demonstrate increased lipid droplet production when exposed to low concentrations of monounsaturated or polyunsaturated fatty acids in nutrient-rich environments [334]. Another study found that LDs were enriched and active in estrogen-deprived ER + BC cells, which are essential for maintaining redox equilibrium and facilitating metabolic adaptability in resistant tumors [139]. Furthermore, dysregulated LDs contributed to CSCs and drug resistance. High LDs numbers were enriched in the breast CSCs pool, suggesting a key role for lipid metabolism in maintaining the breast CSCs population [335]. The doxorubicin-resistant TNBC cells were characterized by smaller but functional mitochondria, as well as numerous lipid droplets [336]. Meanwhile, tamoxifen-resistant T-47D cells exhibit a rapid increase in neutral lipids in lipid droplets and free cholesterol accumulation in lysosomes [337, 338]. Of note, inhibiting LDs biosynthesis inhibited tumorigenesis, potentiated BC cell radiosensitivity, and improved radiotherapy efficacy [339, 340]. In summary, LDs significantly influence BC progression by regulating redox balance, transmitting signaling molecules, supporting cellular energy demands for growth and spread, and enabling intercellular communication within the TME.

Lipid metabolism reprogramming in BC microenvironment

Rather than growing independently, cancer cells exist within a complex TME. Besides serving as a vital energy source, lipids also serve as a fundamental substrate for the growth of membrane remodeling and function as signal transduction molecules in a variety of intracellular and extracellular information transmission pathways [341].Tumor cells produce the metabolites and lipid-associated signaling molecules to form an immunosuppressive TME. Meanwhile, altered lipid metabolic patterns of TME cells can affect the growth of cancer cells, facilitating tumor immune escape [342, 343]. Lipid metabolism reprogramming can activate or suppress various immune cell functional states and immune factors in TME, ultimately leading to BC development [344]. Therefore, both BC cells and TME cells undergo lipid metabolic rewiring to evade the adverse conditions (Fig. 4, Table 1).

Fig. 4.

Fig. 4

The dysregulation of lipid metabolism landscape in the TME of BC. Abnormal lipid metabolism in BC cells can educate surrounding stromal cell, and immune cells into a pro‑tumor phenotype. For instance, adipocytes experience a shift in lipid metabolism and differentiation, leading to a transformation into cells with characteristics resembling myofibroblasts and macrophages. BC-associated fibroblasts can secrete signaling molecules such as FFAs and OGP to promote tumor progression. Furthermore, dysregulation of lipid metabolism in TAMs, characterized by increased FAO, lipid uptake, and cholesterol synthesis, can further enhance pro-tumorigenic effects. Similarly, the activation of lipid peroxidation in effector T cells can reduce their anti-tumor activity. Taken together, lipid metabolic reprogramming enhances crosstalk between BC cells and TME cells, thereby supporting tumor cell growth and altering the functional phenotypes of TME cells. Abbreviations: FFAs, free fatty acids; CAFs, cancer-associated fibroblasts; OGP, osteogenic growth peptide; CAAs, cancer-associated adipocytes; TAM, tumor-associated macrophages; MDSCs, marrow derived suppressor cells; DCs, dendritic cells; PGE2, prostaglandin E2; FAO, fatty acid oxidation; 27HC, 27-hydroxycholesterol; NK, natural killer

Table 1.

The lipid metabolism in the breast cancer tumor microenvironment

Cells The role in lipid metabolism Mechanisms Effects on BC Potential
therapeutic targets
References
CAFs Promote lipid desaturation

Overexpresse FATP1 and SCD1

Downregulate FASN

Degrade OGP

Promote metastasis

Facilitate angiogenesis

Induce immunosuppression

Enhance therapeutic resistance

FATP1

SCD1

OGP

[213, 351356]
CAAs

Enhance FAO

Increase TAG uptake

Enhance CPT1A expression

Enhance JARID2 expression

Secrete lysophospholipids

Promote proliferation and invasion

Induce autophagy

Facilitate therapeutic resistance

CPT1A

JARID2

AMPK pathway

[357370]
TAMs

Increase lipid uptake

Promote CS

Enhance FAO

Upregulate SREBP2 pathways

Upregulate FABP4 pathways

Activate Caspase 1

Suppress immunity

Inhibit T cell activation

Promote tumor proliferation

FABP4, SREBP2

CXCL12-CXCR4

Caspase 1

TREM2 + TAMS

[41, 371378]
DCs Enhance TG synthesis

Activate CD8 + T cells

Induce ER stress

Facilitate immune escape XBP1 splicing factor [14, 379, 380]
NK cells Promote lipid accumulation

Downregulate perforin

Downregulate granzyme

Reduce IFN-γ levels

Promote the proliferation of ER + BC cells

CD36

PPARs

IFN-γ

[381385]
MDSCs Increase lipid uptake

Activate PGE2

Suppress T cells

Promote tumor progression PGE2 [386, 387]
T cells

Enhance FAO

Increase lipid droplet accumulation

Activate p38 MAPK

Promote immune evasion

T-cell degeneration promotes tumor progression

ILT4

PD-1

MAPK-ERK1/2 pathway LXR

[388397]

Abbreviations: CAFs Cancer-associated fibroblasts, CAAs Cancer-associated adipocytes, TAGs Triacylglycerols, TAMs Tumor-Associated Macrophages, DCs Dendritic cells, NK cells Natural killer cells, MDSCs Myeloid-derived suppressor cells, T cells T lymphocytes, FATP1 Fatty Acid Transport Protein 1, SCD1 Stearoyl-CoA Desaturase 1, FASN Fatty Acid Synthase, OGP osteogenic growth peptide, TAG Triacylglycerols, CPT1A Carnitine Palmitoyltransferase 1A, JARID2 Jumonji AT-Rich Interactive Domain 2, CS Cholesterol Synthesis, SREBP2 Sterol Regulatory Element-binding Proteins 2, FABP4 Fatty Acid Binding Protein 4, TG Triglyceride, ER Endoplasmic Reticulum, XBP1 X-box binding protein 1, PPARs Peroxisome Proliferator-Activated Receptors, IFN-γ Interferon-gamma, PGE2 Prostaglandin E2, ILT4 Immunoglobulin-like transcript 4, PD-1 Programmed Cell Death Protein 1; LXR, liver X receptor

Notably, lipid metabolism and inflammatory signals are tightly linked, and their coordinated activity is essential for sustaining metabolic equilibrium [345]. Obesity, a condition involving low-grade chronic inflammation and aberrant lipid metabolism, has been related to the risk of developing estrogen receptor–positive BC [346]. In obesity, metabolic dysregulation within adipose tissue results in the release of numerous pro-inflammatory cytokines, growth factors, and hormones. These factors collectively contribute to the establishment of the TME and facilitate the progression of BC [347]. Several studies have demonstrated that lipid mediators such as 27-hydroxycholesterol [348],leptin [349], and lysophosphatidic acid [350] have emerged as important players in obesity-driven BC progression. Therefore, the strong associations between lipid metabolism and inflammatory signaling in the progression of obesity-driven BC highlights the necessity for comprehensive therapeutic strategies that simultaneously target the metabolic and inflammatory aspects of the disease.

Cancer-associated fibroblasts

Cancer-associated fibroblasts (CAFs) play a crucial role in modifying the extracellular matrix, enabling tumor cell infiltration into the TME and promoting interactions with cancer cells and other stromal cells through the secretion of diverse signaling molecules, including growth factors, cytokines, and chemokines. These interactions facilitate the metastasis, angiogenesis, immunosuppression, and treatment resistance of BC cells [213, 351]. Recent findings indicate that the co-culture of BC cells with cancer-associated CAFs might enhance the overexpression of FATP1 and the downregulation of FASN, hence facilitating the proliferation of BC cells [352, 353]. Notably, BC-associated fibroblasts and BC cells are markedly stimulated to express and activate FASN by G protein-coupled estrogen receptors, facilitating cancer growth [354]. Conversely, BC cells secrete cathepsin D that binds to low-density lipoprotein receptor-associated proteins in the microenvironment and stimulates fibroblast growth [355]. BC cells are able to modify the metabolic characteristics of fibroblasts, leading to the formation of a pre-metastatic niche that facilitates lung metastasis. Additionally, heightened secretion of CXCL1 by lung fibroblasts diminishes immune response in the lung microenvironment by attracting G-MDSCs [141]. Furthermore, CAFs play a role in modulating the membrane fluidity of tumor cells, leading to increased invasiveness. Specifically, contact between CAFs and BC cells specifically stimulates the overexpression of the desaturase enzyme SCD1, resulting in enhanced synthesis of MUFAs and subsequently elevating cell membrane fluidity and migratory capabilities of BC cells [143]. Moreover, CD10 expressed in a subset of CAFs promotes tumor progression by degrading the anti-tumoral peptide osteogenic growth peptide (OGP). OGP functions to suppress the expression of the rate-limiting desaturase SCD1, hence obstructing lipid desaturation essential for breast cancer stem cells [356]. Therefore, targeting lipid metabolism alterations in the crosstalk of CAFs and BC cells presents a promising therapeutic strategy to enhance anti-tumor immunity, and improve treatment outcomes in BC patients.

Adipocytes

The stroma of the breast is largely composed of adipocytes, and recent studies have demonstrated that stromal adipocytes and BC cells exhibit a reciprocal metabolic adaptation [13]. Cancer-associated adipocytes (CAAs) are abnormal adipocytes whose phenotypic alterations are affected by tumor cells. CAAs are characterized by reduced cell volume, lower LDs, changes in fibroblast-like alterations, and reduced lipid differentiation [357, 358]. Zhu et al. have reported that within mammary tumors, adipocytes undergo alterations in lipid metabolism and differentiation, resulting in their metamorphosis into cells resembling myofibroblasts and macrophages. This phenomenon, known as "adipocyte mesenchymal transition," alters the TME through extracellular matrix remodeling and immune response activation, potentially playing a role in tumor progression [359]. CAAs were reported to drive BC cells lipid metabolic reprogramming to promote tumor progression. The intake of triacylglycerols (TAGs) by adipocytes rises when cocultured with BC cells, leading to elevated CPT1A levels and enhanced fatty acid metabolism in cancer cells [360, 361]. As well, BC cells exhibited lipid accumulation when co-cultured with primary human omental adipocytes [362]. Interestingly, oleic acid released by adipocytes stimulates AMPK-mediated FAO in highly metastatic BC cells, but it suppresses the growth of metastatic BC cells in low-metastatic MCF-7 cells [363]. Furthermore, leptin produced by adipocytes enhances JARID2 expression, which physically interacts with the NuRD complex and modulates lipid metabolism-related genes, hence facilitating the proliferation and invasion of BC cells [364].

Meanwhile, altered phospholipid metabolism of tumor–adipocytes interactions also exerts a profound influence on the progression of BC. Lysophospholipids secreted by adipose tissue have been shown to promote the proliferation of tumor cells in the mammary glands of mice. The pharmacological or genetic suppression of the G-protein-coupled lysophosphatidic acid receptor diminished the proliferation of tumor cells induced by lysophospholipids, suggesting a lipid-specific mechanism that influences the role of adipocytes in BC cell biology [365]. Bellanger et al. have reported that adipocytes trigger autophagy in breast cancer cells by altering membrane phospholipid composition, hence boosting cancer cell survival in nutrient-deficient settings [366]. Intriguingly, diet-induced obesity has been shown to reduce the effectiveness of doxorubicin in TNBC tumors through the modulation of phospholipid profiles in mammary and tumor tissue, therefore enabling cancer cells to sustain their survival and energy demands [367]. In addition to CAAs being able to modify BC cell behaviors, BC cells are also capable of modulating CAAs behaviors. Exosomal miR-155 derived from BC cells has been shown to inhibit lipogenesis in preadipocytes and promote the browning of white adipose tissues [368]. Analysis of primary human samples indicates that adipocytes in close proximity to tumor exhibit smaller size and reduced TAGs stores compared to adipocytes distal to the tumor. Additionally, studies using co-culture and conditioned media models have demonstrated that human BC cells decrease TAG stores in adipocytes [369, 370]. In conclusion, BC cells and stromal adipocytes exhibit reciprocal lipid metabolic adaptations, which may be able to develop and implement novel therapies in the long term by repurposing existing drugs or using new compounds targeted at the interaction between CAAs and BC cells.

Tumor-associated macrophages

Macrophages constitute a major immune cell population in the tumor microenvironment, accounting for up to fifty percent of the cellular composition and significantly influencing all phases of BC growth [371]. Tumor-associated macrophages (TAMs) often exhibit enhanced FAO and lipid uptake, which supports their pro-tumorigenic functions [41, 372]. On the one hand, alterations of lipid metabolism in TAMs exert immunosuppressive effects that facilitate BC progression. TAMs may absorb various lipids, with unsaturated fatty acids being preferentially collected in macrophages. TAMs with lipid accumulation promote BC growth via FABP4-dependent lipolysis and lipid consumption pathways [373]. Timperi E et al. identified a specific subset of high-lipid TAMs originating from monocytes characterized by increased lipid uptake, which stimulate the inflammatory CXCL12-CXCR4 pathway to recruit monocytes in TNBC, ultimately altering monocyte function to inhibit T cell activation [374]. Furthermore, the downregulation of lactate dehydrogenase B decreased fatty acid synthesis by activating SREBP2 in TAMs, thereby promoting cholesterol biosynthesis in macrophages and facilitating BC cells proliferation [375]. In a murine model of BC, the activation of caspase 1 in TAMs leads to the upregulation of medium-chain acyl-CoA dehydrogenase, which inhibits the accumulation of lipid droplets and facilitates the acquisition of tumorigenic properties by TAMs [376]. On the other hand, altered lipid metabolism of BC cells also exerts a profound influence on the interactions of tumor–macrophages. TNBC cells treated with docosahexaenoic ethanolamine acid exhibit reduced recruitment of human THP-1 cells and downregulation of genes associated with the TAM phenotype by decreasing CCL5 expression and secretion [377]. Sun et al. discovered that the presence of ceramide metabolites leads to the alteration of macrophage function towards immune-suppressive TREM2 + tumor-associated macrophages, ultimately contributing to CD8 T cell exhaustion in BC [378]. Therefore, understanding these lipid metabolic changes and their implications for TAM function is crucial for developing novel therapeutic strategies aimed at reprogramming TAMs to enhance anti-tumor immunity for BC.

Dendritic cells, natural killer cells and marrow derived suppressor cells

Dendritic cells (DCs) serve as the principal antigen-presenting cells responsible for activating CD8 + T cells and orchestrating anti-tumor immune responses. Lipid metabolic changes in DCs can diminish their ability to present antigens effectively, thereby promoting immune evasion by tumors [14, 379]. The accumulation of lipids triggers endoplasmic reticulum stress in DCs, leading to the activation of the X-box binding protein 1 splicing factor and the subsequent enhancement of triglyceride biosynthesis. This process ultimately hinders antigen presentation by DCs, thereby facilitating immune evasion by BC cells [380]. Natural killer (NK) cells are essential components of the immune response against tumors and viral infections, as they utilize perforin and granzyme to eliminate infected or tumor cells [381]. In murine BC models, lipid accumulation in NK cells mediated by CD36 and peroxisome proliferators has been shown to downregulate the expression of perforin and granzyme, leading to impaired metabolic function and transport processes [382]. Additionally, research has demonstrated that dietary fat can promote the proliferation of estrogen receptor-positive BC cells by reducing the number and cytotoxic activity of splenic NK cells [383]. NK cells have the ability to internalize lipid-rich extracellular vesicles released by lung mesenchymal cells, resulting in intracellular lipid accumulation [384]. This lipid-laden state in NK cells leads to reduced production of granzyme B and IFN-γ, ultimately impairing their anti-tumor efficacy and promoting BC lung metastasis [384, 385]. Myeloid-derived suppressor cells (MDSCs) play a significant role in modulating the immunosuppressive tumor microenvironment. The bioactive lipid PGE2 has been identified as a key factor in activating MDSCs within the TME in a mouse model of BC [386]. MDSCs induced by E-prostanoid receptor exhibit stronger inhibitory activity on T cells, inhibiting antigen-specific activation of CD4 + T cells and CD8 + T cells, thereby promoting BC progression [387].

T cells

The primary T cell subsets depend closely on lipid metabolism to adjust their functions in response to altered TME. Tumor-infiltrating T cells often undergo metabolic alterations due to the hypoxic, glucose-deficient, and lipid-rich TME. This metabolic adaptation includes a shift from glycolysis to FAO to enhance their functionality and sustain their anti-tumor capabilities [388]. However, an excessive elevation in lipid metabolism may lead to lipid peroxidation and the formation of ROS inside cells, thereby reducing their anti-tumor potency [389]. For instance, the activation of fatty acid metabolism was noted in both tumor cells and T cells within the male BC microenvironment. T cells in male BC exhibit activation of p38 MAPK and lipid oxidation pathways, indicating a state of malfunction [390]. Furthermore, in a murine model of obesity-related BC, CD8 + tumor-infiltrating lymphocytes have shown the ability to inhibit glycolytic activity while enhancing FAO [391]. A high-fat diet affects the formation of PD-1 + CD8 + fatigued T lymphocytes in breast tumors, and these cells contribute to obesity-induced tumorigenesis [392].

The emergence of senescence in T cells within the tumor microenvironment of BC is a significant pathological condition. Senescent T cells have increased glucose metabolism but show dysregulated lipid metabolism. This dysregulation of lipid metabolism leads to alterations in the expression of lipid metabolic enzymes, subsequently impacting lipid species and the accumulation of lipid droplets within T cells [276]. Previous research has shown that immunoglobulin-like transcript 4, an immunosuppressive molecule present in tumor cells, can activate the MAPK-ERK1/2 signaling pathway to enhance fatty acid synthesis and lipid accumulation in tumor cells, resulting in effector T cell senescence and the inhibition of specific T cell senescence expression [393]. Additionally, it has been shown that cholesterol and its metabolites contribute to the immunosuppressive tumor microenvironment [394]. The primary cholesterol metabolite 27-hydroxycholesterol (27HC) has been demonstrated to enhance the activation and recruitment of γδ T cells and polymorphonuclear leukocytes (PMNs), resulting in a reduction of CD8 + cytotoxic T cell populations and modifying the immune profile of estrogen receptor-positive BC [395, 396]. Furthermore, the activation of liver X receptor (LXR) in TNBC impedes the mitochondrial metabolism of CD8 + T lymphocytes and alters cholesterol distribution on the cell membrane. Inhibiting LXR activation increases the cytotoxicity of CD8 + T lymphocytes, hence facilitating more efficient tumor eradication [397]. In conclusion, although studies on the relationship between T cell lipid metabolism and the BC microenvironment are still in their infancy, existing findings suggest that abnormalities in lipid metabolism of T cells may play an important role in BC immune escape and tumor progression.

Current and future therapeutics by targeting lipid metabolism for BC treatment

Given the extensive insights into lipid metabolism within BC and the TME, targeting lipid metabolism emerges as a promising, multifaceted strategy. Targeting lipid dysmetabolism has the potential to impact both tumor cells and TME cells, ultimately improving the effectiveness of therapies. Remarkably, recent studies have shown that lipid‑targeted agents can enhance anti-tumor efficacy when combined with chemotherapy and targeted therapy in BC. Furthermore, therapeutic medicines targeting lipid metabolism, in conjunction with immunotherapy, have shown encouraging outcomes in augmenting anti-tumor immunity. Here, we describe small-molecule compounds and other agents targeting lipid metabolism that might be employed or have been tested in clinical trials not only in BC but also in other tumor types (Fig. 5).

Fig. 5.

Fig. 5

Lipid‑targeted therapy in BC. Lipid metabolism reprogramming not only promotes BC progression but also plays a crucial role in shaping the immunosuppressive microenvironment. Thus, targeting lipid dysmetabolism has the potential to impact both tumor cells and TME cells and enhance therapeutic efficacy. Inhibitors of lipid metabolism have shown promising antitumor efficacy combined with standard treatment in numerous preclinical studies. Overall, lipid‑targeted therapy in BC includes targeting lipid metabolism process, targeting lipid-related transcription factors, and targeting TME. The potential therapeutic targets of lipid‑targeted therapy include lipid uptake and storage (CD36, FABP5, DGATs), lipid synthesis (FASN, ACLY, SCD, ACC), FAO and ferroptosis (CPTs, ferroptosis inducers), lipid-related transcription factors (SREBPs, PPAR and LXRs) and TME regulators (COX2, GPX4 and phospholipase). Abbreviations: FAO, fatty acid oxidation; FA, fatty acid; TF, transcription factor; TME, tumor microenvironment; ICB, immune checkpoint blockade

Targeting lipid uptake and transport

Tumor cells have an enhanced capacity for lipid absorption, facilitating their metabolic functions, energy generation, and lipid accumulation. Thus, the inhibition of lipid uptake has gained attention as a potential therapeutic strategy in oncology. Notably, targeting the fatty acid receptor CD36 has shown effectiveness against several cancer types in numerous preclinical investigations [282, 398400]. However, the advancement of CD36-targeted inhibitors is currently in the preliminary phase. CD36-blocking antibodies, including FA6.152 and JC63.1, have shown benefits in many preclinical murine models by significantly slowing tumor progression [399, 401]. JC63.1C, an anti-CD36 monoclonal antibody, has been shown to sensitize lapatinib-resistant xenograft tumors to HER2-targeted therapy, suggesting a new avenue for combined treatment approaches in BC [25]. Furthermore, CD36-targeting antibodies have demonstrated efficacy in various cancer models. For instance, JC63.1 has been shown to decrease the stemness and malignancy of bladder cancer cells induced in vitro by oxLDL, as well as inhibit in vivo tumor growth promoted by a high-fat, high-cholesterol diet [402]. Antibody-mediated blockage of CD36 has been found to reduce the viability of pancreatic cancer cells, inhibit clonogenic survival in pancreatic cancer-derived organoids, and suppress de novo lipogenesis in human pancreatic cancer-derived organoids [400]. Nipin et al. demonstrated that the interaction of the small chemical nobiletin with CD36 in BC cells impedes tumor angiogenesis, metastasis, and sphere formation via regulating the CD36/STAT3/NF-κB signaling pathway [403]. In addition, several studies have highlighted CD36 as a potential immunotherapeutic target, with evidence suggesting that its blockade on CD8 + T cells can enhance ICB-based immunotherapy by impairing anti-tumor immune responses across multiple cell types [282, 404].

Similar to CD36-targeted inhibitors, targeting FABPs is currently limited to animal tumor models. BMS309403, initially identified as a drug for targeting FABP4, has been shown to effectively inhibit tumor growth and metastases in various mouse models by targeting both tumor and stromal cells [405, 406]. Inhibition of FABP5 using the small molecule SBFI-26 has demonstrated reduced proliferation and invasiveness of prostate cancer in vitro and in vivo by decreasing fatty acid uptake and PPARγ levels [407]. In BC, SBFI-26-mediated downregulation of FABP5 protein expression has been shown to increase the sensitivity of MCF-7/ADR cells to doxorubicin and reduce intracellular calcium, PPARγ, and autophagy levels [408]. In addition, SBFI-26 disrupts the equilibrium of the FAs pool by impeding the transport function of FABP5, resulting in lipid peroxidation and the initiation of ferroptosis in TNBC cells [409].Taken together, these observations indicate that targeting fatty acid uptake and transport represents a viable new strategy for mitigating tumor progression in BC therapy.

Targeting fatty acid synthesis

Targeting FASN

FASN, a key player in fatty acid metabolism in BC, was first examined as a prognostic indicator of recurrence in stage I breast cancer patients by Alo et al. in 1996 [410]. Since that initial study, research on the role of FASN in BC and its potential as a therapeutic target has steadily expanded. Over the past two decades, investigations into FASN's involvement in BC have deepened, leading to the development of an increasing number of FASN-targeted drugs, some of which have entered clinical trials. Cerulenin was the first chemical identified to block FASN function, demonstrating the capacity to suppress BC cell growth in vitro and cause apoptosis [411, 412]. Notably, treatment of BC cells with cerulenin restored epithelial traits, since FASN inhibition was shown to reverse EMT, hence diminishing invasiveness and metastasis [413]. Due to cerulenin's chemical instability, a semisynthetic compound called C75 was developed [414]. Studies have demonstrated that C75 inhibits FASN activity by directly blocking HER2 and FASN phosphorylation, showing significant antitumor effects in BC cells [107]. Another FASN inhibitor, orlistat, which has a structure similar to cerulenin, was synthesized and is primarily used to treat obesity. In HER2-overexpressing BC cells, orlistat was found to reduce cell proliferation and promote apoptosis [415]. Further research led to the development of TVB-2640, an oral FASN inhibitor, making it the first small-molecule FASN inhibitor to enter clinical trials [416]. Other compounds, such as TVB-3166 and TVB-3664, have been developed and are now undergoing examination. TVB-3166 specifically inhibits de novo fatty acid manufacture, disrupts lipid raft structures, and impedes membrane-associated molecules, finally triggering death in tumor cells [417]. Alpha-mangostin diminishes the viability of BC cells, causing apoptosis via the inhibition of FASN activity and the downregulation of its expression [418]. Additionally, the FASN inhibitor G28-UCM, either alone or with trastuzumab, markedly improved anticancer efficacy against trastuzumab-resistant HER2 + breast cancer [419]. FASN inhibitors can independently suppress de novo fatty acid synthesis, effectively inhibiting the growth of BC cells. Moreover, when combined with other drugs, FASN inhibitors create a synergistic effect that enhances overall anticancer efficacy. This combination not only boosts treatment effectiveness but also increases the sensitivity of chemotherapy or targeted therapy in BC cells [420, 421]. In summary, FASN inhibitors not only target the metabolic vulnerabilities of BC cells but also improve the overall effectiveness of existing therapies, paving the way for more effective treatment strategies in the clinic.

Targeting ACLY

ACLY is crucial for fatty acid synthesis, and its blockage disrupts both fatty acid synthesis and oxidation, resulting in energy depletion and eventually cell death [120]. Studies have demonstrated that ACLY inhibitors impede fatty acid elongation in the endoplasmic reticulum, thereby inhibiting tumor development associated with ACLY activity [422]. Hydroxycitric acid (HCA) was one of the first ACLY inhibitors discovered [423]. HCA, structurally analogous to citrate, has a much greater affinity for ACLY, functioning as a competitive inhibitor by binding to ACLY and diminishing its action [424]. In tamoxifen-resistant BC cells, treatment with HCA increased sensitivity to tamoxifen, which was directly attributed to ACLY inhibition. The combination of TAM/HCA treatment led to reduced ACLY protein levels compared to tamoxifen alone [425]. Another ACLY inhibitor, bempedoic acid (BA), has gained attention for its ability to reduce fatty acid and sterol synthesis. In 2019, the Food and Drug Administration (FDA) authorized BA for the reduction of LDL cholesterol in individuals [426]. BA functions as a prodrug, activated in the liver to inhibit ACLY activity. In mouse models, it has been shown to significantly suppress glucose-dependent hepatic de novo fatty acid synthesis [427]. Inhibition of ACLY using BA in combination with palbociclib was reported to diminish cell viability and invasiveness in BC cells and a three-dimensional cell culture model [125]. Additionally, cucurbitacin B (CuB) and guggulsterone (Gug), two natural compounds, have also been identified as ACLY inhibitors. CuB suppresses ACLY phosphorylation and inhibits tumor growth in prostate cancer [428], while guggulsterone, a plant steroid, reduces angiogenesis in prostate cancer cells by inactivating the Akt signaling pathway and lowering phosphorylated ACLY levels [429]. While these inhibitors have shown effectiveness in prostate cancer, further study is necessary to explore their potential effects on BC. In summary, while the research on ACLY inhibitors in BC is still in its infancy, the initial findings are encouraging and suggest that these inhibitors could play a significant role in future therapeutic strategies against BC.

Targeting ACC and SCD

ACC is a key enzyme in lipid metabolism, catalyzing the conversion of acetyl-CoA to malonyl-CoA, a crucial step in fatty acid biosynthesis. Thus, inhibiting ACC is considered an effective strategy to block the lipid supply to tumor cells [430, 431]. ND-646, one of the most promising ACC inhibitors in preclinical research, has shown remarkable efficacy by inhibiting ACC1 and ACC2 activities, thereby reducing fatty acid synthesis and storage in tumor cells [432]. Additionally, the successful application of ND-646 in non-small cell lung cancer further highlights its potential therapeutic value in other cancer types [433]. Another commonly used ACC inhibitor is TOFA, which blocks fatty acid synthesis by inhibiting ACC activity. Although TOFA has primarily been utilized in preclinical research, it has been shown to significantly reduce fatty acid storage in BC cells and induce apoptosis [434436]. Additionally, studies have demonstrated that TOFA, when combined with chemotherapy, can significantly enhance anti-cancer effects, particularly in tumor types with high metabolic activity [437]. In addition to monotherapy, the combination of ACC inhibitors with other anti-cancer agents has demonstrated synergistic effects. For example, when combined with PI3K/AKT pathway inhibitors, ACC inhibitors can significantly enhance tumor growth suppression [438]. Furthermore, studies suggest that combining ACC inhibitors with immune checkpoint inhibitors may improve anti-tumor immune responses, offering potential for future research [431]. Drugs such as ND-646 have demonstrated promising safety and efficacy in animal models, but further clinical studies are needed to validate their application in humans, particularly regarding potential side effects and the safety of long-term use. For instance, some studies have indicated that long-term use of ACC inhibitors may lead to metabolic disorders or hepatotoxicity, highlighting the need for additional research to mitigate these risks [439].

Several small-molecule inhibitors targeting SCD1, such as T-3764518, CAY-10566, and MF-438, have been developed and shown significant antitumor effects. However, in vivo investigations of these inhibitors have shown significant harmful side effects, hindering their advancement to clinical trials [150]. Icaritin (ICT), an isopentenyl flavonoid extracted from the traditional Chinese medicinal Epimedium, has shown anticancer effects [440]. Research indicates that ICT induces cell cycle arrest and apoptosis in BC cells through sustained activation of the ERK pathway [441]. Building on this, Chen Yang et al. developed a new ICT derivative, IC2, specifically targeting SCD1 and inducing apoptosis in BC cells by inhibiting SCD activity [440]. Given the critical role of SCD in promoting cancer cell metastasis, brain-penetrant SCD inhibitors have been developed to specifically target SCD1 in metastatic brain tumor cells. These inhibitors can induce lipotoxicity in tumor cells, impair DNA damage repair, and simultaneously enhance the antitumor response within TME [442]. Although ACC and SCD inhibitors have shown significant potential in preclinical studies for cancer, their application in BC remains at an early stage. As research continues to evolve, the integration of ACC or SCD inhibitors into the therapeutic landscape for BC may become more feasible.

Targeting FAO

FAO is a crucial mechanism of energy metabolism in cancer cells, and several studies indicate that the suppression of FAO may significantly impede the proliferation and expansion of tumor cells [443]. Etomoxir, a commonly used inhibitor of CPT in preclinical research, has shown considerable effectiveness in blocking mitochondrial FAO [444]. Likewise, several in vitro preclinical studies have shown possible therapeutic use of etomoxir in BC therapy [445, 446]. In vivo studies have further shown that etomoxir effectively suppresses the growth of estrogen receptor-positive (ER +) BC cells and tumors, thereby restoring sensitivity to tamoxifen in tamoxifen-resistant ER + cells [283, 284]. Furthermore, the combination of endocrine therapy with the FAO inhibitor etomoxir has been shown to synergistically inhibit the growth of both primary and endocrine-resistant BC cells [281]. Notwithstanding encouraging outcomes, human clinical studies were halted owing to the elevated incidence of hepatotoxicity in the therapy of congestive heart failure [447]. Another CPT1 inhibitor, perhexiline, has received approval from the FDA and foreign regulatory agencies for the treatment of severe angina pectoris [448]. Preclinical investigations of pancreatic cancer indicate that the combination of perhexiline and chemotherapy may have potential clinical applicability [449]. Ren et al. revealed that perhexiline effectively ablated HER3 through the promotion of HER3 internalization and degradation, presenting a potential treatment approach to improve survival rates in BC patients [281]. Nonetheless, clinical trials investigating the efficacy of CPT inhibitors in anti-tumor treatment have not yet been undertaken. Metformin, at therapeutic doses, has shown a reduction in FAO in an in vitro model of BC cells, resulting in elevated intracellular triglyceride levels, independent of AMPK activation [450, 451]. This suggests that metformin, at clinically relevant doses, may specifically target FAO in cancer cells, with potential implications for patient stratification and combination therapy approaches. Furthermore, experimental data indicated that GPCR-mediated signaling was closely related to tumor FAO. Specifically targeting GRP78 inhibits mitochondrial beta-oxidation through CPT1A inhibition in BC cells. Metabolic analysis indicates that silencing GRP78 leads to increased intracellular concentrations of linoleic acid, which in turn promotes macrophage infiltration and impacts innate immunity [452]. Targeting GPR81 and FAO offers a potential treatment strategy, since the GPR81 agonist and CPT1 inhibitor etomoxir substantially reduce ER + BC cell and tumor proliferation in vivo, restoring sensitivity to tamoxifen in tamoxifen-resistant ER + cells [283]. Additionally, several natural compounds (e.g., bergamot, eugenol) have also been shown to inhibit FAO in vitro and in vivo to prevent BC progression [453, 454]. In conclusion, FAO inhibitors show good anti-tumor potential in pre-clinical studies of BC, and future studies will further promote their clinical application.

Targeting ferroptosis

Lipids are essential in the regulation of ferroptosis, and a comprehensive understanding of their mechanisms can offer valuable insights for developing therapeutic approaches for diseases associated with ferroptosis. [455]. Indeed, ferroptosis offers potential therapeutic use in breast cancer therapy because of its distinctive inhibitory impact on tumor proliferation [456, 457]. Furthermore, the successful targeting of ferroptosis inhibitors such as GPX4 or ACSL4 using nanoparticle agents or nanoparticles has demonstrated effective inhibition of TNBC tumor growth in mouse models with minimal adverse effects [458, 459]. Firstly, ferroptosis has been shown to have synergistic effects with targeted therapies in BC treatment. Resistance to poly (ADP-ribose) polymerase inhibitors (PARPi) restricts the therapeutic efficacy of PARP inhibition in treating BRCA1-deficient malignancies [460]. Lei et al. revealed that xenograft tumors derived from BRCA1-mutant BC patients exhibiting PARPi resistance had diminished GPX4 expression and increased susceptibility to concurrent inhibition of PARP and GPX4. Their study demonstrated that BRCA1 deficiency resulted in increased vulnerability to ferroptosis when PARP and GPX4 were co-inhibited, indicating a possible treatment strategy to address PARPi resistance in BRCA1-deficient malignancies [461]. Ma et al. conducted a study illustrating the synergistic anticancer impact of siramesine and lapatinib via the ferroptosis pathway in BC. Mechanistically, lapatinib alone or in conjunction with siramesine upregulated transferrin expression, promoting iron influx into cells, augmenting cellular iron levels, and stimulating iron-dependent Lip-ROS generation [462]. Zhu et al. demonstrated that inhibition of BRD4 resulted in increased cell-cycle arrest and elevated levels of GPX4. Consequently, the co-targeting of CDK4/6 inhibitors and BRD4 also enhanced senescence and vulnerability to ferroptosis in pancreatic and BC cells [463]. A recent study indicated that depletion or inhibition of GPX4 enhances sensitivity to palbociclib and giredestrant in ER + and potentially TNBC, indicating a strategy to improve the efficacy of CDK4/6 and ER inhibition [464].

Second, ferroptosis-related drugs are expected to minimize the toxic side effects of BC treatments. Selenomethionine, a glutathione GPX4 activator, exhibited antitumor effects in BC models treated with doxorubicin, concurrently offering cardiac protection without detectable toxicities in the same animal subjects. Therefore, the pharmacological activation of GPX4 offers a potential strategy to reduce the cardiotoxic effects linked to doxorubicin [465]. Iron-dependent ferroptosis is involved in the pathogenesis of herceptin-induced cardiomyopathy, indicating that targeting ferroptosis may provide cardioprotective benefits in in vitro models against Herceptin-induced toxicity [466]. Additionally, the co-administration of ER or AR antagonists with ferroptosis inducers demonstrated a notable inhibitory effect on the proliferation of ER-positive breast cancer and AR-positive prostate cancer, particularly in cases of resistance to singular hormonal treatments [467]. Interestingly, various natural extracts (e.g., boswellia carterii, myricetin, oridonin, Sculponeatin A) have also exhibited the ability to induce ferroptosis via the GPX4 pathway in preclinical models of BC, thereby enhancing the effectiveness of chemotherapy in treating this disease [319, 468472]. Put together, targeting ferroptosis demonstrates potential as a strategy to improve treatment efficacy and overcome the challenges posed by BC.

Targeting cholesterol synthesis and lipid Storage

Cholesterol accumulation in cancer cells is intricately linked to the signaling pathways involved in tumor progression, suggesting that cholesterol reduction may serve as a viable therapeutic target for BC treatment. Current targeting cholesterol synthesis research, both in clinical and preclinical trials, is primarily focused on two approaches: inhibiting intracellular cholesterol synthesis and depleting excess cholesterol from cancer cells. Statins, which inhibit the rate-limiting enzyme HMGCR, are the most extensively studied drugs for reducing cholesterol synthesis [473]. Previous experimental and epidemiological data indicated that statins might inhibit tumor progression and decrease the incidence of BC [474]. Studies indicated that BC patients utilizing statins experienced a 30–60% decrease in recurrence rates, with the extent of risk reduction associated with the duration of statin use [475477]. Several FDA-approved statins, such as simvastatin, were reported to promote PTEN transcription through the modulation of NF-κB activity, consequently suppressing the proliferation of BC cells [478]. Lovastatin inhibited tumor growth and metastasis in mouse models of BC by enhancing apoptosis and decreasing DNA synthesis [479]. Additionally, many studies have explored combination therapies to enhance the efficacy of statins. Studies indicated that lovastatin markedly improved the inhibitory effects of HER2 kinase inhibitors, including lapatinib and neratinib [480]. Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a protein that plays a role in the degradation of LDLR, leading to elevated plasma cholesterol levels [481]. Statins have been shown to increase PCSK9 expression, and the combination of statins with PCSK9 inhibitors may lead to a greater reduction in plasma cholesterol levels [482]. Furthermore, statin-induced depletion of intracellular cholesterol can activate the processing of the inactive precursor of SREBP-2 into its active nuclear form, leading to the transcription of MVA pathway genes, such as HMGCR and upstream enzymes like HMGCS1 [483]. Thus, inhibiting SREBP-2 through RNA interference or employing agents like dipyridamole to obstruct SREBP-2 processing can markedly improve the therapeutic efficacy of statins [484].

Elevated cholesterol levels in tumor cells have prompted the development of therapeutic strategies focused on decreasing intracellular cholesterol as a treatment for cancer. Cholesterol-depleting agents, such as acetylplumbagin (AP) and methyl-β-cyclodextrin (MβCD), have been shown to induce cancer cell death [485]. By depleting cholesterol, these agents reduce the cholesterol content in lipid rafts and disrupt the structural integrity of lipid rafts [486]. Additionally, decreased membrane cholesterol enhances membrane permeability, thereby affecting drug uptake. In tamoxifen-resistant BC, MβCD improves tamoxifen efficacy by facilitating increased cellular uptake [487]. Studies have shown that tamoxifen-resistant BC cells exhibit increased levels of cholesterol-enriched lipid rafts in comparison to tamoxifen-sensitive cells, as well as heightened expression of growth factor signaling mediators [488]. Thus, targeting cholesterol-enriched lipid rafts presents a promising therapeutic strategy for the treatment of tamoxifen-resistant BC. As for targeting lipid storage in BC, PF-06424439, a selective DGAT2 inhibitor, coupled with X-ray exposure, might potentiate BC cell radiosensitivity and potentially improve the radiotherapy effectiveness [340]. A922500, a selective DGAT1 inhibitor, coupled to ACLY inhibition, partly ameliorated 4-hydroxytamoxifen-induced cell death in BC cells [489]. However, to date, no inhibitors designed to target DGAT have been tested in clinical trials in cancer patients. The potential of drugs and targets associated with lipid metabolic processes are summarized in Table 2.

Table 2.

The treatment drugs and targets related to lipid metabolism in breast cancer

Treatment Mechanism Effects on BC Combined treatment Study Progress/Status References
FA6.152 (anti-CD36) Blocks CD36 Suppress tumor lipid uptake and progression N/A Preclinical [399, 401]
JC63.1C (anti-CD36) Targets CD36 Sensitize HER2-positive BC therapy Lapatinib Preclinical [24, 25, 399402]
Nobiletin Regulates CD36/STAT3/NF-κB pathway Inhibit tumor angiogenesis and metastasis N/A Preclinical [403]
BMS309403 Targets FABP4 Inhibit tumor growth and metastasis N/A Preclinical [405, 406]
SBFI-26 Targets FABP5 Induce lipid peroxidation and ferroptosis in TNBC Doxorubicin Preclinical [407409]
Cerulenin Inhibits FASN Reverse EMT and induce apoptosis N/A Preclinical [411413]
C75 Blocks HER2 and FASN phosphorylation Activate immunity, induce apoptosis PI3Kα inhibitor (CYH33) Preclinical [107, 402, 414]
Orlistat Inhibits FASN Inhibit proliferation, promotes apoptosis in HER2 + BC N/A Phase II [415]
TVB-2640 Oral FASN inhibitor Induce apoptosis Chemotherapy and immunotherapy Phase II [416]
TVB-3166 Inhibits FASN Disrupt lipid rafts and induce apoptosis PI3K inhibitor Preclinical [417]
α- mangostin Downregulates PI3K-AKT signaling and reduces FASN activity Induce apoptosis N/A Preclinical [111, 418]
G28-UCM Inhibits FASN Enhance efficacy in HER2 + and trastuzumab-resistant BC Trastuzumab Preclinical [419]
Psoralen Inhibits FASN Reverse EMT and induce apoptosis N/A Preclinical [101]
Clofibrate Activates PPARα and inhibits FASN Reduce FASN activity N/A Preclinical [116]
HCA Competitively inhibits ACLY Increase tamoxifen sensitivity in resistant BC tamoxifen Preclinical [424, 425]
BA (FDA approved for LDL cholesterol reduction) Inhibits ACLY Reduce tumor invasiveness palbociclib Preclinical [125, 426, 427]
CuB Suppresses ACLY phosphorylation Inhibit tumor growth in PC N/A Preclinical [428]
Gug Blocks Akt pathway and reduce phosphorylated ACLY Reduce angiogenesis in PC N/A Preclinical [429]
ND-646 Inhibits ACC1/ACC2 Reduce tumor lipid supply

PI3K/AKT inhibitor

ICIs

Preclinical [431433]
TOFA Inhibits ACC Reduce FA storage and induce apoptosis Chemotherapy Preclinical [434437]
Icaritin (ICT) Activates the ERK pathway Induce cell cycle arrest and apoptosis N/A Preclinical [440, 441]
IC2 Targets SCD1 Induce apoptosis N/A Preclinical [440]
Etomoxir Inhibits CPT1A/B Block FAO and enhance drug sensitivity in ER + BC

Tamoxifen

(Endocrine therapy)

On hold [281, 283, 284, 444447]
Perhexiline Inhibits CPT1 N/A Chemotherapy Preclinical [281, 448, 449]
Metformin Reduces FAO Induce apoptosis N/A Preclinical [450, 451]

Erastin

RSL3

SAS

Induces ferroptosis Increase ROS in TNBC

Adriamycin

Salinomycin

Preclinical [312318]

Siramesine

Lapatinib

Induces ferritin deposition Induce apoptosis CDK4/6 inhibitors Preclinical [462, 464]
Salinomycin Induces ferroptosis Eliminate BCSC N/A Preclinical [317, 318]
Selenomethione Activates GPX4 Reduce doxorubicin cardiotoxicity, anti-tumor in BC DOX Preclinical [465]
PF-06424439 Inhibitors DGAT2 Increase BC sensitivity to radiotherapy Radiotherapy Preclinical [340]
A922500 Inhibitors DGAT1 Induce apoptosis ACLY inhibitors Preclinical [489]
Statins (e.g. simvastatin, lovastatin) Inhibits HMGCR Reduce cholesterol, inhibits growth signaling PCSK9 inhibitors, PTX, HER2 kinase inhibitors (e.g. lapatinib, neraparib) Phase I [473484, 520]
MβCD Consumes cholesterol Enhance tamoxifen uptake in resistant BC Tamoxifen Preclinical [487]
AP Consumes cholesterol Disrupt lipid rafts, induce cancer cell death N/A Preclinical [485]

Abbreviations: BC Breast Cancer, TNBC Triple-negative Breast Cancer, EMT Epithelial-Mesenchymal Transition, FASN Fatty Acid Synthase Complex, PPARα Peroxisome Proliferator-Activated Receptor α, CuB Cucurbitacin B, Gug guggulsterone, ACLY ATP-citrate Lyase, PC prostate cancer, ACC1 Acetyl-CoA Carboxylase 1, ACC2 Acetyl-CoA Carboxylase 2, ICIs Immune Checkpoint Inhibitors, FA Fatty Acids, SCD1 Stearoyl-CoA Desaturase 1, FAO Fatty acid oxidation, BCSC Breast Cancer Stem cells, DOX Doxorubicin, HMGCR 3-Hydroxy-3-Methylglutaryl-CoA Reductase, PCSK9 Proprotein Convertase Subtilisin/Kexin type 9, PTX Paclitaxel, MβCD Methyl-β-cyclodextrin, AP Acetylplumbagin, DOX Doxorubicin, CPT1A/B Carnitine Palmitoyltransferase 1A/B, FABP4 Fatty Acid Binding Protein 4, FABP5 Fatty Acid Binding Proteins 5, LDL Low-density Lipoprotein, GPX4 Glutathione Peroxidase 4, DGAT2 Diacylglycerol O-acyltransferase 2, DGAT1 Diacylglycerol O-acyltransferase 1

Targeting transcriptional regulators of lipid metabolism

SREBP, a transcription factor that regulates FAs, cholesterol, and phospholipid metabolism genes, has three isoforms (SREBP-1a, SREBP-1c, and SREBP-2) produced from two genes (SREBF1 and SREBF2) in mammals [490]. These isoforms exhibit overlapping transcriptional programs for the biosynthesis of FAs and cholesterol [491]. In BC, the PI3K-AKT-mTOR pathway dominantly regulates SREBP expression and activity. The inhibition of SREBP1 was reported to increase the susceptibility of cancer cells with PI3K pathway mutations to ferroptosis [157, 492]. Betulin, an SREBP1 inhibitor, might treat metabolic problems and improve the anti-tumor effects of Sorafenib in hepatocellular carcinoma [493, 494]. The inhibition of SREBP-2 by fatostatin, a selective SCAP inhibitor that obstructs SREBP activation, led to a reduction in breast cancer-induced osteolysis and tumor proliferation in vivo [230, 495]. Furthermore, the addition of Fatostatin demonstrates enhanced inhibition of proliferation in ER-positive BC cells in comparison to tamoxifen monotherapy, suggesting a synergistic effect of Fatostatin in combination with tamoxifen [496, 497]. Liver X receptors (LXRs) are nuclear receptor transcription factors that regulate genes related to lipid and cholesterol metabolism [498]. The compound GAC0001E5, an LXR inverse agonist, disrupts glutaminolysis, resulting in increased oxidative stress and reduced HER2 expression. This indicates a possible therapeutic approach for addressing HER2 overexpression and related metabolic alterations in HER2-positive BC [499, 500]. Additionally, the LXR agonist T0901317 has demonstrated inhibitory effects on proliferation and metastasis in a mouse model of butylated hydroxytoluene-induced BC [501]. Vitamin D3 and T0901317 effectively reduced cholesterol levels and promoted apoptosis in a preclinical model, suggesting their combined use may significantly mitigate the progression of estrogen receptor-positive BC [502].

PPARs are nuclear transcription factors in the steroid hormone receptor family that act as biosensors for lipid metabolism changes [503]. Fenofibrate and clofibrate, as PPARα agonists, have been widely utilized in research and clinical settings. Clofibrate has been shown to inhibit the activation of NF-κB and ERK1/2, leading to apoptosis and ultimately impeding the proliferation of BC cells [116]. Fenofibrate has also demonstrated cytotoxic effects on BC cells in vivo and in vitro, with a favorable safety profile and tolerable side effects [504, 505]. Furthermore, the PPARα antagonist GW6471 was found to reduce cell proliferation and spheroid formation in BC stem cells, leading to metabolic dysfunction and apoptosis [506]. Notably, the clinical drug rosiglitazone, a specific agonist of PPARγ, is currently available on the market as an insulin sensitizer for the management of diabetes [507]. A preliminary investigation showed that short-term administration of rosiglitazone does not significantly affect tumor cell proliferation, indicating limited efficacy for treating BC as a standalone therapy [508]. Conversely, the combination of doxorubicin or cisplatin with rosiglitazone demonstrated a significant enhancement in therapeutic effectiveness against cancer cells [509, 510]. Pioglitazone, a PPARγ agonist, was found to augment the efficacy of cisplatin viability when compared to chemotherapy alone [511, 512]. In addition, other PPAR agonists or inhibitors (e.g., GW501516, GW0742, GW9662) have also demonstrated antitumor effects in preclinical BC models [398, 513, 514]. However, to date, clinical trials involving targeting PPARs have not yet been conducted in cancer patients. In conclusion, although drug development targeting transcription factors for lipid metabolism is progressing, more research and validation are needed to achieve its clinical application in BC. Table 3 summarizes the regulatory effects of lipid-related transcription factors in BC and their small molecule inhibitors.

Table 3.

Transcriptional regulation of lipid metabolism in breast cancer

Transcription factors Target genes The role in Lipid metabolism Signaling pathways Inhibitor/Activator References
SREBP-1

FASN

SCD1

ACC

ACLY

Promotes fatty acid synthesis and storage PI3K-AKT-mTOR, pRb, Myc, MAPK Inhibitor: Betulin [112, 113, 126, 157, 170, 492494]
SREBP-2

HMGCR

SQLE

Regulates cholesterol synthesis and lipid storage PI3K-AKT-mTOR Inhibitor: Fatostatin, Tamoxifen, Dipyridamole [169, 230, 232, 483, 484, 494, 496, 497]
LXR

ABCA1

SREBP-1

Regulates cholesterol metabolism and fatty acid synthesis PI3K-AKT Activator: T0901317, GAC0001E5 [169, 171, 397, 499501]
MYC CPT1A Promotes FAO and energy metabolism

JAK/STAT3

MAPK

Inhibitor: Etomoxir [277, 278]
PPARα

FASN

SCD1

Promotes FAO and reduces lipid storage

MAPK

NF-κB

ERK1/2

Activator: Fenofibrate, Clofibrate

Inhibitor: GW6471

[116, 506, 507]
PPARγ

FASN

ATGL

Regulates fatty acid synthesis and catabolism

MAPK

NF-κB

Activator: Rosiglitazone, Pioglitazone [507, 508, 511, 512]

Abbreviations: SREBP-1 Sterol Regulatory Element-binding Proteins 1, SREBP-2 Sterol Regulatory Element-binding Proteins 2, LXR liver X receptor, MYC Myelocytomatosis Viral Oncogene Homolog, PPARα Peroxisome Proliferator-Activated Receptors α, PPARγ Peroxisome Proliferator-Activated Receptors γ, FASN Fatty Acid Synthase, SCD1 Stearoyl-CoA Desaturase 1, ACC Acetyl-CoA Carboxylase, ACLY ATP-citrate Lyase, HMGCR 3-Hydroxy-3-Methylglutaryl-CoA Reductase, SQLE Squalene monooxygenase, ABCA1 ATP-binding Cassette Sub-family A member 1, CPT1A Carnitine Palmitoyltransferase 1A, ATGL Adipose Triglyceride Lipase, FAO Fatty acid oxidation

Targeting lipid metabolism combined with immunotherapy

The progress of immunotherapy in the treatment of BC has shown significant expansion during the last two decades. The explosion of clinical studies using antibody–drug conjugates (ADCs) and immune checkpoint inhibitors (ICIs) has greatly improved outcomes for many BC patients [515] However, observations from clinical settings underscore the pivotal influence of TIME composition on the efficacy of immunotherapy [516]. Lipid metabolic reprogramming has the potential to influence the activation or suppression of diverse immune cell functional states, thereby contributing to the progression of BC [517]. This concept offers a theoretical foundation for modifying the tumor microenvironment via the targeting of lipid metabolism. Therefore, combination with metabolism-regulating agents and immunotherapy is probably an attractive treatment modality for BC. Lipid synthesis plays a critical role in tumor-associated immune cells, making it a potential target for combination immunotherapy. SREBP activity was significantly elevated in tumor-regulating T lymphocytes of human breast carcinomas. Furthermore, the deletion of the SREBP cleavage activator protein resulted in the inhibition of tumor growth and improved the therapeutic response to PD-L1 inhibitors [518]. Additionally, the combination of the PI3Kα inhibitor CYH33 and the FASN inhibitor C75 was shown to boost immunological activation and enhance anti-tumor immunity, suggesting a potential strategy for simultaneous targeting of PI3K and FASN in BC treatment [402]. Bell et al. illustrated that the presence of prostaglandin E2 (PGE2) derived from dying cancer cells hinders the T cell-mediated immune response. Therefore, the incorporation of pharmacological COX-2 inhibition in conjunction with immunotherapy and cytotoxic therapy has the potential to enhance the effectiveness of the combination of chemotherapy and PD-1 blockade [519]. Cholesterol synthesis inhibitor statins play a role in facilitating the transition from cold to hot tumors. The combination of lovastatin and paclitaxel boosts CD8 + T-cell activity, improving their tumor-killing efficacy and resulting in more favorable prognostic outcomes for BC patients [520].

Targeting ferroptosis and phospholipid metabolism also represents a promising approach to improving immunotherapy treatment outcomes in BC. The LAR subtype of TNBC exhibits increased susceptibility to ferroptosis inducers, specifically GPX4 inhibitors. Notably, the combination of GPX4 inhibitors with immune checkpoint blockade shows promising preclinical effectiveness [309]. Inhibition of group IVA phospholipase A2 was reported to modify effector T cell lipid metabolism, mitigate T cell senescence in vitro, and enhance antitumor immunity and immunotherapy efficacy in murine models of melanoma and BC [276, 521]. Furthermore, neutral sphingomyelinase 2 (nSMase2) catalyzes the hydrolysis of sphingomyelin to produce ceramide, an anti-oncometabolite. Enhanced expression of wild-type nSMase2 has been shown to improve the efficacy of anti-PD-1 treatment in murine models of melanoma and BC, corresponding with an elevated Th1 immune response [522]. These preclinical findings indicate that combining lipid metabolism with immunotherapy strategies may provide new therapeutic options for BC patients. With insights into the role of lipid metabolism in the TME, future studies may develop more effective combination treatment regimens to improve the therapeutic efficacy of BC.

Conclusions and perspectives

Research conducted over the past two decades has unequivocally identified altered lipid metabolism as a significant metabolic phenotype of cancer cells. Due to the specific characteristics of the tumor microenvironment, particularly the infiltration of adipocytes surrounding BC, an increasing number of studies have recognized the role of lipid metabolism on tumor growth and TME. Metabolic heterogeneity represents a key characteristic of BC, reflecting the significant energy demands, membrane compositions, and signaling molecules necessary for tumor cell proliferation. Current studies indicated that distinct lipid metabolism pathways are present across various BC subtypes, marked by enhanced lipid uptake, lipid synthesis, fatty acid oxidation, and lipid storage, facilitating tumor cell survival under hypoxic and nutrient-deprived conditions. Lipid metabolic reprogramming plays multifaceted roles in remodeling the BC microenvironment, influencing both lipid metabolism and the functional phenotypes of TME cells. Lipid metabolic reprogramming in adipocytes, CAFs, TAMs, T cell subsets, and other myeloid lineage immune cells plays a critical role in shaping the BC TME. Therefore, precise regulation of lipid metabolism and a comprehensive understanding of the plasticity within the BC microenvironment have considerable promise for the development of targeted therapeutic strategies against this disease.

Lipid metabolism can be conceptualized as an intricate network of pathways characterized by plasticity, feedback loops, and crosstalk, which collectively ensure the fitness and survival of tumor cells [523]. Consequently, it is somewhat unexpected that few targeted compounds directed at this pathway have progressed to clinical trials in BC. One plausible explanation for this limited progress is the challenge of selectively inhibiting lipid metabolism in cancer cells without inducing significant systemic effects [524]. Another limitation arises from the metabolic flexibility of cancer cells, which may swiftly transition from de novo synthesis to lipid uptake in the presence of inhibitory compounds [525]. Furthermore, many lipids metabolic enzymes have various isoforms, each potentially associated with distinct lipid metabolic pathways and exhibiting varied cellular localizations or tissue distributions. Given the limited efficacy of certain metabolic drugs, it is evident that the integration of therapies, including targeted inhibitors, standard-of-care treatments, and dietary interventions, may effectively enhance existing strategies for BC treatment.

A multifaceted and dynamic network of interactions exists between BC cells and the non-cancerous constituents of the TME. Each component of the TME possesses the capacity to influence cancer immunity. Presently, the majority of lipid-related research focuses on CAFs, CAAs, and the metabolic interactions between immune cells and tumor cells. Nevertheless, the metabolic susceptibilities of non-cancerous cells within the TME warrant significant attention. Secondly, the TME undergoes substantial alterations during tumor progression and in response to therapeutic interventions [516]. Consequently, it is imperative to meticulously monitor these changes within the TME and adjust treatment strategies in a timely manner. To effectively observe the dynamic processes of lipid metabolites associated with TME modifications, it is essential to expand the detection scope of lipid-related proteins and small molecules, as well as to enhance the precision of detection at both the single-cell and spatial levels. Current single-cell and spatial detection technologies serve as potent methodologies for elucidating the metabolic vulnerabilities of cancer within the BC microenvironment [526, 527]. Future research should focus on tracking tumor cells dynamic metabolic adaptations and translating those findings into clinical practice.

The plasticity of lipid metabolism warrants significant attention. Increasing evidence suggests that distinct histological types of BC and individual patients exhibit unique metabolic profiles [305, 528, 529]. Future research should focus on identifying lipid metabolic molecules that are predominant during specific developmental stages of various BC subtypes, which holds promise for uncovering potential diagnostic and therapeutic targets. The findings suggest that a single metabolic drug may demonstrate efficacy exclusively within a specific subgroup of tumor cells. Therefore, rather than implementing a uniform metabolic treatment for all cancer patients, it is advisable to adopt personalized metabolic therapy. Further research is warranted to elucidate the contextual roles of specific lipids in each subtype of BC. Additionally, the adaptability of lipid metabolism during tumor progression and treatment presents a significant challenge that must be addressed. Tumor cells exhibit metabolic flexibility and plasticity to circumvent metabolic constraints during tumor progression. Similarly, these cells demonstrate metabolic adaptability and reprogram metabolic networks to acquire more malignant phenotypic characteristics. To effectively counteract metabolic adaptation, it is imperative to dynamically monitor metabolic alterations and adjust metabolic treatment strategies in a timely manner.

Given the temporal and spatial metabolic heterogeneity of BC, personalized lipid metabolic therapy represents a promising future direction. Consequently, the efficacy of such therapies may depend on a comprehensive understanding of the specific lipid metabolic abnormalities associated with particular BC subtypes. Initially, it is crucial to implement subtype-specific metabolic therapies tailored to the distinct lipid metabolic profiles of various BC tumors. Furthermore, lipid metabolic therapy must be dynamically adjusted in response to metabolic adaptations occurring at different stages of BC progression and treatment. In the future, pharmacological agents targeting lipid metabolism may be integrated with conventional therapies or immunotherapies for the treatment of BC. We are inclined to believe that the incorporation of tumor genomic testing with the classification of FAs, the TME, and patients' dietary modifications will facilitate the development of more comprehensive precision medicine strategies for BC treatment.

Abbreviations

BC

Breast Cancer

TNBC

Triple-negative Breast Cancer

HR + 

Hormone Receptor-positive

HER2 (ErbB2)

Human Epidermal Growth Factor Receptor

ATP

Adenosine Triphosphate

ICB

Immune Checkpoint Blockade

TME

Tumor Microenvironment

FAs

Fatty Acids

FATPs

Fatty Acid Transport Proteins

FABPs

Fatty Acid Binding Proteins

CD36

Cluster of Differentiation 36

COX-2

Cyclooxygenase-2

EGFR

Epidermal Growth Factor Receptor

IL-6

Interleukin-6

LDLR

Low-density Lipoprotein Receptor

LDL

Low-density Lipoprotein

ABC

ATP-binding Cassette

FASN

Fatty Acid Synthase Complex

ACLY

ATP-citrate Lyase

ACC

Acetyl-CoA Carboxylase

SCD

Stearoyl-CoA Desaturase

ACP

Acyl Carrier Protein

MUFAs

Monounsaturated Fatty Acids

PUFAs

Polyunsaturated Fatty Acids

SFAs

Saturated Fatty Acids

FFAs

Free fatty Acids

DHA

Docosahexaenoic Acid

EPA

Eicosapentaenoic Acid

ALA

Alpha-linolenic Acid

OS

Overall Survival

RFS

Recurrence-free Survival

DMFS

Distant Metastasis-free Survival

EMT

Epithelial-Mesenchymal Transition

ER

Estrogen Receptor

SREBP-1

Sterol Regulatory Element-binding Proteins 1

SREBP-2

Sterol Regulatory Element-binding Proteins 2

PPARs

Peroxisome Proliferator-Activated Receptors

PR

Progesterone Receptor

CPTs

Carnitine Palmitoyltransferases

HDL

High-density Lipoprotein

ER

Endoplasmic Reticulum

HMG-CoA

3-Hydroxy-3-methylglutaryl-CoA

HMGCR

3-Hydroxy-3-Methylglutaryl-CoA Reductase

MVA

Mevalonate Pathway

SQLE

Squalene monooxygenase (squalene epoxidase)

VLDL

Very-Low-Density Lipoprotein

SR-BI

Scavenger Receptor Class B Type I

HDL-C

High-Density Lipoprotein Cholesterol

SMO

Smoothened

SHH

Sonic Hedgehog Signaling Pathway

ERRα

Estrogen-related Receptor Alpha

PGC-1

Proliferator-activated receptor gamma coactivator 1

FAO

Fatty acid oxidation

TCA

Tricarboxylic Acid

ACSL

Acyl-CoA Synthetase Long-Chain

DFS

Disease-Free Survival

PFS

Progression-Free Survival

DSS

Disease-Specific Survival

BLBC

Basal-Like Breast Cancer

LAR

Luminal Androgen Receptor

IFNG

Interferon gamma

ROS

Reactive Oxygen Species

BCSCs

Breast Cancer Stem cells

DOX

Doxorubicin

LDs

Lipid droplets

CSCs

Cancer stem cells

CAFs

Cancer-associated fibroblasts

OGP

Osteogenic growth peptide

CAAs

Cancer-associated adipocytes

TAGs

Triacylglycerols

TAMs

Tumor-Associated Macrophages

DCs

Dendritic cells

NK

Natural killer

IFN-γ

Interferon-gamma

MDSCs

Myeloid-derived suppressor cells

PGE2

Prostaglandin E2

PMNs

Polymorphonuclear leukocytes

27HC

27-Hydroxycholesterol

LXR

Liver X receptor

FDA

Food and Drug Administration

HCA

Hydroxycitric acid

BA

Bempedoic acid

BRCA1

Breast Cancer 1

AR

Androgen Receptor

SCAP

SREBP Cleavage Activating Protein

ADCs

Antibody-drug Conjugates

PGE2

Prostaglandin E2

ox-LDL

Oxidized low-density lipoprotein

ROS

Reactive Oxygen Species

OLR1

Low-Density Lipoprotein Receptor 1

LOX-1

Lectin-like Oxidized Low-Density Lipoprotein Receptor 1

TNFα

Tumor Necrosis Factor-alpha

Authors' Contributions

Jinguo Zhang, Xinghua Han and Yueyin Pan were involved in design of the work and the figures. Mengting Wan, Shuaikang Pan and Benjie Shan performed the literature search and wrote the draft. Hongwei Jin, Wei Wang, Haizhou Diao and Ziqi Wang prepared the figures and provided the critical revisions. Zihan Zheng, Shuya Han, Wan Liu and Jiaying He provided the critical revisions and contributed to editing the manuscript. All authors were involved in manuscript writing, read and approved the final manuscript.

Funding

This work was supported by grants from the National Natural Science Foundation of China (82203159, 82472979), Anhui Provincial Special Program of Clinical Medical Science (grant no.202304295107020055 and grant no.202304295107020000), the Scientific Research Innovation Team Project of Anhui Colleges and Universities (grant no. 2022AH010077), the Science and Research Project from Health Commission of Anhui Province (grant no.AHWJ2023A10140), the Scientific Research Start-up the China Postdoctoral Science Foundation (2022M723048), Funds of The First Affiliated Hospital of USTC (RC2021122).

Data availability

No datasets were generated or analysed during the current study.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

This manuscript has been read and approved by all the authors to publish and is not submitted or under consideration for publication elsewhere.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Mengting Wan, Shuaikang Pan and Benjie Shan contributed equally to this work.

Contributor Information

Yueyin Pan, Email: panyueyin@ustc.edu.cn.

Xinghua Han, Email: hxhmail@ustc.edu.cn.

Jinguo Zhang, Email: Zhangjg2022@ustc.edu.cn.

References

  • 1.Arnold M, Morgan E, Rumgay H, Mafra A, Singh D, Laversanne M, Vignat J, Gralow JR, Cardoso F, Siesling S, Soerjomataram I. Current and future burden of breast cancer: Global statistics for 2020 and 2040. Breast. 2022;66:15–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Qi J, Li M, Wang L, Hu Y, Liu W, Long Z, Zhou Z, Yin P, Zhou M. National and subnational trends in cancer burden in China, 2005–20: an analysis of national mortality surveillance data. Lancet Public Health. 2023;8:e943–55. [DOI] [PubMed] [Google Scholar]
  • 3.Guo L, Kong D, Liu J, Zhan L, Luo L, Zheng W, Zheng Q, Chen C, Sun S. Breast cancer heterogeneity and its implication in personalized precision therapy. Exp Hematol Oncol. 2023;12:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Morrison L, Loibl S, Turner NC. The CDK4/6 inhibitor revolution - a game-changing era for breast cancer treatment. Nat Rev Clin Oncol. 2024;21:89–105. [DOI] [PubMed] [Google Scholar]
  • 5.Kalinsky K, Barlow WE, Gralow JR, Meric-Bernstam F, Albain KS, Hayes DF, Lin NU, Perez EA, Goldstein LJ, Chia SKL, et al. 21-Gene Assay to Inform Chemotherapy Benefit in Node-Positive Breast Cancer. N Engl J Med. 2021;385:2336–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Liu Y, Hu Y, Xue J, Li J, Yi J, Bu J, Zhang Z, Qiu P, Gu X. Advances in immunotherapy for triple-negative breast cancer. Mol Cancer. 2023;22:145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Paul S, Ghosh S, Kumar S. Tumor glycolysis, an essential sweet tooth of tumor cells. Semin Cancer Biol. 2022;86:1216–30. [DOI] [PubMed] [Google Scholar]
  • 8.Wang B, Pei J, Xu S, Liu J, Yu J. A glutamine tug-of-war between cancer and immune cells: recent advances in unraveling the ongoing battle. J Exp Clin Cancer Res. 2024;43:74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lin Z, Long F, Kang R, Klionsky DJ, Yang M, Tang D. The lipid basis of cell death and autophagy. Autophagy. 2024;20:469–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Vogel FCE, Chaves-Filho AB, Schulze A. Lipids as mediators of cancer progression and metastasis. Nat Cancer. 2024;5:16–29. [DOI] [PubMed] [Google Scholar]
  • 11.Martin-Perez M, Urdiroz-Urricelqui U, Bigas C, Benitah SA. The role of lipids in cancer progression and metastasis. Cell Metab. 2022;34:1675–99. [DOI] [PubMed] [Google Scholar]
  • 12.He M, Xu S, Yan F, Ruan J, Zhang X. Fatty Acid Metabolism: A New Perspective in Breast Cancer Precision Therapy. Front Biosci (Landmark Ed). 2023;28:348. [DOI] [PubMed] [Google Scholar]
  • 13.Hoy AJ, Balaban S, Saunders DN. Adipocyte-Tumor Cell Metabolic Crosstalk in Breast Cancer. Trends Mol Med. 2017;23:381–92. [DOI] [PubMed] [Google Scholar]
  • 14.Zheng M, Zhang W, Chen X, Guo H, Wu H, Xu Y, He Q, Ding L, Yang B. The impact of lipids on the cancer-immunity cycle and strategies for modulating lipid metabolism to improve cancer immunotherapy. Acta Pharm Sin B. 2023;13:1488–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Huang TX, Huang HS, Dong SW, Chen JY, Zhang B, Li HH, Zhang TT, Xie Q, Long QY, Yang Y, et al. ATP6V0A1-dependent cholesterol absorption in colorectal cancer cells triggers immunosuppressive signaling to inactivate memory CD8(+) T cells. Nat Commun. 2024;15:5680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Lian X, Yang K, Li R, Li M, Zuo J, Zheng B, Wang W, Wang P, Zhou S. Immunometabolic rewiring in tumorigenesis and anti-tumor immunotherapy. Mol Cancer. 2022;21:27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Corn KC, Windham MA, Rafat M. Lipids in the tumor microenvironment: From cancer progression to treatment. Prog Lipid Res. 2020;80: 101055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yin Y, Liu B, Cao Y, Yao S, Liu Y, Jin G, Qin Y, Chen Y, Cui K, Zhou L, et al. Colorectal Cancer-Derived Small Extracellular Vesicles Promote Tumor Immune Evasion by Upregulating PD-L1 Expression in Tumor-Associated Macrophages. Adv Sci (Weinh). 2022;9:2102620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dana N, Ferns GA, Nedaeinia R, Haghjooy Javanmard S. Leptin signaling in breast cancer and its crosstalk with peroxisome proliferator-activated receptors α and γ. Clin Transl Oncol. 2023;25:601–10. [DOI] [PubMed] [Google Scholar]
  • 20.Balaban S, Lee LS, Varney B, Aishah A, Gao Q, Shearer RF, Saunders DN, Grewal T, Hoy AJ. Heterogeneity of fatty acid metabolism in breast cancer cells underlies differential sensitivity to palmitate-induced apoptosis. Mol Oncol. 2018;12:1623–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Deng L, Kersten S, Stienstra R. Triacylglycerol uptake and handling by macrophages: From fatty acids to lipoproteins. Prog Lipid Res. 2023;92: 101250. [DOI] [PubMed] [Google Scholar]
  • 22.Dourlen P, Sujkowski A, Wessells R, Mollereau B. Fatty acid transport proteins in disease: New insights from invertebrate models. Prog Lipid Res. 2015;60:30–40. [DOI] [PubMed] [Google Scholar]
  • 23.Yang Y, Liu X, Yang D, Li L, Li S, Lu S, Li N. Interplay of CD36, autophagy, and lipid metabolism: insights into cancer progression. Metabolism. 2024;155: 155905. [DOI] [PubMed] [Google Scholar]
  • 24.Feng WW, Bang S, Kurokawa M. CD36: a key mediator of resistance to HER2 inhibitors in breast cancer. Mol Cell Oncol. 2020;7:1715766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Feng WW, Wilkins O, Bang S, Ung M, Li J, An J, Del Genio C, Canfield K, DiRenzo J, Wells W, et al. CD36-Mediated Metabolic Rewiring of Breast Cancer Cells Promotes Resistance to HER2-Targeted Therapies. Cell Rep. 2019;29:3405-3420.e3405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Liang Y, Han H, Liu L, Duan Y, Yang X, Ma C, Zhu Y, Han J, Li X, Chen Y. CD36 plays a critical role in proliferation, migration and tamoxifen-inhibited growth of ER-positive breast cancer cells. Oncogenesis. 2018;7:98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Zaoui M, Morel M, Ferrand N, Fellahi S, Bastard JP, Lamazière A, Larsen AK, Béréziat V, Atlan M, Sabbah M: Breast-Associated Adipocytes Secretome Induce Fatty Acid Uptake and Invasiveness in Breast Cancer Cells via CD36 Independently of Body Mass Index, Menopausal Status and Mammary Density. Cancers (Basel). 2019;11(12):2012. [DOI] [PMC free article] [PubMed]
  • 28.Gyamfi J, Yeo JH, Kwon D, Min BS, Cha YJ, Koo JS, Jeong J, Lee J, Choi J. Interaction between CD36 and FABP4 modulates adipocyte-induced fatty acid import and metabolism in breast cancer. NPJ Breast Cancer. 2021;7:129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Tang Y, Qian C, Zhou Y, Yu C, Song M, Zhang T, Min X, Wang A, Zhao Y, Lu Y. Activated platelets facilitate hematogexis iScience. 2023;26:107704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ligorio F, Di Cosimo S, Verderio P, Ciniselli CM, Pizzamiglio S, Castagnoli L, Dugo M, Galbardi B, Salgado R, Loi S, et al. Predictive Role of CD36 Expression in HER2-Positive Breast Cancer Patients Receiving Neoadjuvant Trastuzumab. J Natl Cancer Inst. 2022;114:1720–7. [DOI] [PubMed] [Google Scholar]
  • 31.Başarır Sivri FN, Çiftçi S: A New Insight into Fatty Acid Binding Protein 4 Mechanisms and Therapeutic Implications in Obesity-Associated Diseases: A Mini Review. Mol Nutr Food Res. 2024;68(8):e2300840. [DOI] [PubMed]
  • 32.Hancke K, Grubeck D, Hauser N, Kreienberg R, Weiss JM. Adipocyte fatty acid-binding protein as a novel prognostic factor in obese breast cancer patients. Breast Cancer Res Treat. 2010;119:367–367. [DOI] [PubMed] [Google Scholar]
  • 33.Amiri M, Yousefnia S, Seyed Forootan F, Peymani M, Ghaedi K, Nasr Esfahani MH. Diverse roles of fatty acid binding proteins (FABPs) in development and pathogenesis of cancers. Gene. 2018;676:171–83. [DOI] [PubMed] [Google Scholar]
  • 34.Zeng J, Sauter ER, Li B. FABP4: A New Player in Obesity-Associated Breast Cancer. Trends Mol Med. 2020;26:437–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Yang D, Li Y, Xing L, Tan Y, Sun J, Zeng B, Xiang T, Tan J, Ren G, Wang Y. Utilization of adipocyte-derived lipids and enhanced intracellular trafficking of fatty acids contribute to breast cancer progression. Cell Commun Signal. 2018;16:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Chen D, Wirth KM, Kizy S, Muretta JM, Markowski TW, Yong P, Sheka A, Abdelwahab H, Hertzel AV, Ikramuddin S, et al. Desmoglein 2 Functions as a Receptor for Fatty Acid Binding Protein 4 in Breast Cancer Epithelial Cells. Mol Cancer Res. 2023;21:836–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Powell CA, Nasser MW, Zhao H, Wochna JC, Zhang X, Shapiro C, Shilo K, Ganju RK. Fatty acid binding protein 5 promotes metastatic potential of triple negative breast cancer cells through enhancing epidermal growth factor receptor stability. Oncotarget. 2015;6:6373–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kannan-Thulasiraman P, Seachrist DD, Mahabeleshwar GH, Jain MK, Noy N. Fatty acid-binding protein 5 and PPARbeta/delta are critical mediators of epidermal growth factor receptor-induced carcinoma cell growth. J Biol Chem. 2010;285:19106–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Liu RZ, Graham K, Glubrecht DD, Germain DR, Mackey JR, Godbout R. Association of FABP5 expression with poor survival in triple-negative breast cancer: implication for retinoic acid therapy. Am J Pathol. 2011;178:997–1008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Hao J, Yan F, Zhang Y, Triplett A, Zhang Y, Schultz DA, Sun Y, Zeng J, Silverstein KAT, Zheng Q, et al. Expression of Adipocyte/Macrophage Fatty Acid-Binding Protein in Tumor-Associated Macrophages Promotes Breast Cancer Progression. Cancer Res. 2018;78:2343–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Liu Z, Gao Z, Li B, Li J, Ou Y, Yu X, Zhang Z, Liu S, Fu X, Jin H, et al. Lipid-associated macrophages in the tumor-adipose microenvironment facilitate breast cancer progression. Oncoimmunology. 2022;11:2085432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Luis G, Godfroid A, Nishiumi S, Cimino J, Blacher S, Maquoi E, Wery C, Collignon A, Longuespée R, Montero-Ruiz L, et al. Tumor resistance to ferroptosis driven by Stearoyl-CoA Desaturase-1 (SCD1) in cancer cells and Fatty Acid Biding Protein-4 (FABP4) in tumor microenvironment promote tumor recurrence. Redox Biol. 2021;43: 102006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Guaita-Esteruelas S, Saavedra-García P, Bosquet A, Borràs J, Girona J, Amiliano K, Rodríguez-Balada M, Heras M, Masana L, Gumà J. Adipose-Derived Fatty Acid-Binding Proteins Plasma Concentrations Are Increased in Breast Cancer Patients. Oncologist. 2017;22:1309–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Hao J, Zhang Y, Yan X, Yan F, Sun Y, Zeng J, Waigel S, Yin Y, Fraig MM, Egilmez NK, et al. Circulating Adipose Fatty Acid Binding Protein Is a New Link Underlying Obesity-Associated Breast/Mammary Tumor Development. Cell Metab. 2018;28:689-705.e685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Tan M, Yang S, Xu X. High-density lipoprotein cholesterol and carcinogenesis. Trends Endocrinol Metab. 2023;34:303–13. [DOI] [PubMed] [Google Scholar]
  • 46.King RJ, Singh PK, Mehla K. The cholesterol pathway: impact on immunity and cancer. Trends Immunol. 2022;43:78–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Yang HX, Zhang M, Long SY, Tuo QH, Tian Y, Chen JX, Zhang CP, Liao DF. Cholesterol in LDL receptor recycling and degradation. Clin Chim Acta. 2020;500:81–6. [DOI] [PubMed] [Google Scholar]
  • 48.Modi A, Roy D, Sharma S, Vishnoi JR, Pareek P, Elhence P, Sharma P, Purohit P. ABC transporters in breast cancer: their roles in multidrug resistance and beyond. J Drug Target. 2022;30:927–47. [DOI] [PubMed] [Google Scholar]
  • 49.Mayengbam SS, Singh A, Pillai AD, Bhat MK. Influence of cholesterol on cancer progression and therapy. Transl Oncol. 2021;14: 101043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Pires LA, Hegg R, Freitas FR, Tavares ER, Almeida CP, Baracat EC, Maranhão RC. Effect of neoadjuvant chemotherapy on low-density lipoprotein (LDL) receptor and LDL receptor-related protein 1 (LRP-1) receptor in locally advanced breast cancer. Braz J Med Biol Res. 2012;45:557–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Torres CG, Ramírez ME, Cruz P, Epuñan MJ, Valladares LE, Sierralta WD. 27-hydroxycholesterol induces the transition of MCF7 cells into a mesenchymal phenotype. Oncol Rep. 2011;26:389–97. [DOI] [PubMed] [Google Scholar]
  • 52.Gallagher EJ, Zelenko Z, Neel BA, Antoniou IM, Rajan L, Kase N, LeRoith D. Elevated tumor LDLR expression accelerates LDL cholesterol-mediated breast cancer growth in mouse models of hyperlipidemia. Oncogene. 2017;36:6462–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Scully T, Ettela A, Kase N, LeRoith D, Gallagher EJ: Unregulated LDL cholesterol uptake is detrimental to breast cancer cells. Endocr Relat Cancer. 2023;30(1):e220234. [DOI] [PubMed]
  • 54.Antalis CJ, Uchida A, Buhman KK, Siddiqui RA. Migration of MDA-MB-231 breast cancer cells depends on the availability of exogenous lipids and cholesterol esterification. Clin Exp Metastasis. 2011;28:733–41. [DOI] [PubMed] [Google Scholar]
  • 55.Scully T, Kase N, Gallagher EJ, LeRoith D. Regulation of low-density lipoprotein receptor expression in triple negative breast cancer by EGFR-MAPK signaling. Sci Rep. 2021;11:17927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.de Gonzalo-Calvo D, López-Vilaró L, Nasarre L, Perez-Olabarria M, Vázquez T, Escuin D, Badimon L, Barnadas A, Lerma E, Llorente-Cortés V. Intratumor cholesteryl ester accumulation is associated with human breast cancer proliferation and aggressive potential: a molecular and clinicopathological study. BMC Cancer. 2015;15:460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Celik C, Lee SYT, Yap WS, Thibault G. Endoplasmic reticulum stress and lipids in health and diseases. Prog Lipid Res. 2023;89: 101198. [DOI] [PubMed] [Google Scholar]
  • 58.Zaidi N, Lupien L, Kuemmerle NB, Kinlaw WB, Swinnen JV, Smans K. Lipogenesis and lipolysis: the pathways exploited by the cancer cells to acquire fatty acids. Prog Lipid Res. 2013;52:585–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Mashima T, Seimiya H, Tsuruo T. De novo fatty-acid synthesis and related pathways as molecular targets for cancer therapy. Br J Cancer. 2009;100:1369–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Guertin DA, Wellen KE. Acetyl-CoA metabolism in cancer. Nat Rev Cancer. 2023;23:156–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Kuo CY, Ann DK. When fats commit crimes: fatty acid metabolism, cancer stemness and therapeutic resistance. Cancer Commun (Lond). 2018;38:47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Currie E, Schulze A, Zechner R, Walther TC, Farese RV Jr. Cellular fatty acid metabolism and cancer. Cell Metab. 2013;18:153–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Zhao J, Bai H, Li X, Yan J, Zou G, Wang L, Li X, Liu Z, Xiang R, Yang XL, Shi Y. Glucose-sensitive acetylation of Seryl tRNA synthetase regulates lipid synthesis in breast cancer. Signal Transduct Target Ther. 2021;6:303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Xiao Y, Yang Y, Xiong H, Dong G. The implications of FASN in immune cell biology and related diseases. Cell Death Dis. 2024;15:88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Röhrig F, Schulze A. The multifaceted roles of fatty acid synthesis in cancer. Nat Rev Cancer. 2016;16:732–49. [DOI] [PubMed] [Google Scholar]
  • 66.Mikalayeva V, Ceslevičienė I, Sarapinienė I, Žvikas V, Skeberdis VA, Jakštas V, Bordel S: Fatty Acid Synthesis and Degradation Interplay to Regulate the Oxidative Stress in Cancer Cells. Int J Mol Sci. 2019;20(6):1348. [DOI] [PMC free article] [PubMed]
  • 67.Zhang J, Song Y, Shi Q, Fu L. Research progress on FASN and MGLL in the regulation of abnormal lipid metabolism and the relationship between tumor invasion and metastasis. Front Med. 2021;15:649–56. [DOI] [PubMed] [Google Scholar]
  • 68.Huang LH, Chung HY, Su HM. Docosahexaenoic acid reduces sterol regulatory element binding protein-1 and fatty acid synthase expression and inhibits cell proliferation by inhibiting pAkt signaling in a human breast cancer MCF-7 cell line. BMC Cancer. 2017;17:890. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Mo Y, Wu Y, Li X, Rao H, Tian X, Wu D, Qiu Z, Zheng G, Hu J. Osthole delays hepatocarcinogenesis in mice by suppressing AKT/FASN axis and ERK phosphorylation. Eur J Pharmacol. 2020;867: 172788. [DOI] [PubMed] [Google Scholar]
  • 70.Chang L, Fang S, Chen Y, Yang Z, Yuan Y, Zhang J, Ye L, Gu W. Inhibition of FASN suppresses the malignant biological behavior of non-small cell lung cancer cells via deregulating glucose metabolism and AKT/ERK pathway. Lipids Health Dis. 2019;18:118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Butler LM, Perone Y, Dehairs J, Lupien LE, de Laat V, Talebi A, Loda M, Kinlaw WB, Swinnen JV. Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention. Adv Drug Deliv Rev. 2020;159:245–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Kurtzhals P, Østergaard S, Nishimura E, Kjeldsen T. Derivatization with fatty acids in peptide and protein drug discovery. Nat Rev Drug Discov. 2023;22:59–80. [DOI] [PubMed] [Google Scholar]
  • 73.Witt PM, Christensen JH, Schmidt EB, Dethlefsen C, Tjønneland A, Overvad K, Ewertz M. Marine n-3 polyunsaturated fatty acids in adipose tissue and breast cancer risk: a case-cohort study from Denmark. Cancer Causes Control. 2009;20:1715–21. [DOI] [PubMed] [Google Scholar]
  • 74.Liu XZ, Rulina A, Choi MH, Pedersen L, Lepland J, Takle ST, Madeleine N, Peters SD, Wogsland CE, Grøndal SM, et al. C/EBPB-dependent adaptation to palmitic acid promotes tumor formation in hormone receptor negative breast cancer. Nat Commun. 2022;13:69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Marcial-Medina C, Ordoñez-Moreno A, Gonzalez-Reyes C, Cortes-Reynosa P, Perez Salazar E. Oleic acid induces migration through a FFAR1/4, EGFR and AKT-dependent pathway in breast cancer cells. Endocr Connect. 2019;8:252–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Karmokar PF, Moniri NH. Oncogenic signaling of the free-fatty acid receptors FFA1 and FFA4 in human breast carcinoma cells. Biochem Pharmacol. 2022;206: 115328. [DOI] [PubMed] [Google Scholar]
  • 77.Wang X, He S, Gu Y, Wang Q, Chu X, Jin M, Xu L, Wu Q, Zhou Q, Wang B, et al. Fatty acid receptor GPR120 promotes breast cancer chemoresistance by upregulating ABC transporters expression and fatty acid synthesis. EBioMedicine. 2019;40:251–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Burch R. Dietary omega 3 fatty acids for migraine. BMJ. 2021;374: n1535. [DOI] [PubMed] [Google Scholar]
  • 79.Kinoshita Y, Yoshizawa K, Hamazaki K, Emoto Y, Yuri T, Yuki M, Shikata N, Kawashima H, Tsubura A. Mead acid inhibits the growth of KPL-1 human breast cancer cells in vitro and in vivo. Oncol Rep. 2014;32:1385–94. [DOI] [PubMed] [Google Scholar]
  • 80.Fabian CJ, Kimler BF, Hursting SD. Omega-3 fatty acids for breast cancer prevention and survivorship. Breast Cancer Res. 2015;17:62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Ravacci GR, Brentani MM, Tortelli TC, Torrinhas RS, Santos JR, Logullo AF, Waitzberg DL. Docosahexaenoic Acid Modulates a HER2-Associated Lipogenic Phenotype, Induces Apoptosis, and Increases Trastuzumab Action in HER2-Overexpressing Breast Carcinoma Cells. Biomed Res Int. 2015;2015: 838652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Chajès V, Thiébaut AC, Rotival M, Gauthier E, Maillard V, Boutron-Ruault MC, Joulin V, Lenoir GM, Clavel-Chapelon F. Association between serum trans-monounsaturated fatty acids and breast cancer risk in the E3N-EPIC Study. Am J Epidemiol. 2008;167:1312–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Pala V, Krogh V, Muti P, Chajès V, Riboli E, Micheli A, Saadatian M, Sieri S, Berrino F. Erythrocyte membrane fatty acids and subsequent breast cancer: a prospective Italian study. J Natl Cancer Inst. 2001;93:1088–95. [DOI] [PubMed] [Google Scholar]
  • 84.Bai R, Cui J. Regulation of fatty acid synthase on tumor and progress in the development of related therapies. Chin Med J (Engl). 2024;137:1894–902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Fhu CW, Ali A: Fatty Acid Synthase: An Emerging Target in Cancer. Molecules. 2020;25(17):3935. [DOI] [PMC free article] [PubMed]
  • 86.Kuhajda FP. Fatty-acid synthase and human cancer: new perspectives on its role in tumor biology. Nutrition. 2000;16:202–8. [DOI] [PubMed] [Google Scholar]
  • 87.Du Q, Liu P, Zhang C, Liu T, Wang W, Shang C, Wu J, Liao Y, Chen Y, Huang J, et al. FASN promotes lymph node metastasis in cervical cancer via cholesterol reprogramming and lymphangiogenesis. Cell Death Dis. 2022;13:488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Wei W, Qin B, Wen W, Zhang B, Luo H, Wang Y, Xu H, Xie X, Liu S, Jiang X, et al. FBXW7β loss-of-function enhances FASN-mediated lipogenesis and promotes colorectal cancer growth. Signal Transduct Target Ther. 2023;8:187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Xu S, Chen T, Dong L, Li T, Xue H, Gao B, Ding X, Wang H, Li H. Fatty acid synthase promotes breast cancer metastasis by mediating changes in fatty acid metabolism. Oncol Lett. 2021;21:27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Pizato N, Hoffmann MS, Irala CH, Muniz-Junqueira MI, Silva Paixao EMD, Ito MK. Serum fatty acid synthase levels and n-3 fatty acid intake in patients with breast cancer. Clin Nutr ESPEN. 2021;42:142–7. [DOI] [PubMed] [Google Scholar]
  • 91.Porta R, Blancafort A, Casòliva G, Casas M, Dorca J, Buxo M, Viñas G, Oliveras G, Puig T. Fatty acid synthase expression is strongly related to menopause in early-stage breast cancer patients. Menopause. 2014;21:188–91. [DOI] [PubMed] [Google Scholar]
  • 92.Chen T, Zhou L, Li H, Tian Y, Li J, Dong L, Zhao Y, Wei D. Fatty acid synthase affects expression of ErbB receptors in epithelial to mesenchymal transition of breast cancer cells and invasive ductal carcinoma. Oncol Lett. 2017;14:5934–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Ferraro GB, Ali A, Luengo A, Kodack DP, Deik A, Abbott KL, Bezwada D, Blanc L, Prideaux B, Jin X, et al. FATTY ACID SYNTHESIS IS REQUIRED FOR BREAST CANCER BRAIN METASTASIS. Nat Cancer. 2021;2:414–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Huo X, Song L, Li D, Wang K, Wang Y, Chen F, Zhang L, Wang L, Zhang J, Wu Z. Landscape of the oncogenic role of fatty acid synthase in human tumors. Aging (Albany NY). 2021;13:25106–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Liu B, Peng Q, Wang YW, Qiu J, Zhu J, Ma R. Prognostic and clinicopathological significance of fatty acid synthase in breast cancer: A systematic review and meta-analysis. Front Oncol. 2023;13:1153076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Jiang W, Xing XL, Zhang C, Yi L, Xu W, Ou J, Zhu N. MET and FASN as Prognostic Biomarkers of Triple Negative Breast Cancer: A Systematic Evidence Landscape of Clinical Study. Front Oncol. 2021;11: 604801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Giró-Perafita A, Sarrats A, Pérez-Bueno F, Oliveras G, Buxó M, Brunet J, Viñas G, Miquel TP. Fatty acid synthase expression and its association with clinico-histopathological features in triple-negative breast cancer. Oncotarget. 2017;8:74391–405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.McClellan B, Pham T, Harlow B, Lee G, Quach D, Jolly C, Brenner A, deGraffenried L. Modulation of Breast Cancer Cell FASN Expression by Obesity-Related Systemic Factors. Breast Cancer (Auckl). 2022;16:11782234221111374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Gonzalez-Salinas F, Rojo R, Martinez-Amador C, Herrera-Gamboa J, Trevino V. Transcriptomic and cellular analyses of CRISPR/Cas9-mediated edition of FASN show inhibition of aggressive characteristics in breast cancer cells. Biochem Biophys Res Commun. 2020;529:321–7. [DOI] [PubMed] [Google Scholar]
  • 100.Zielinska HA, Holly JMP, Bahl A, Perks CM. Inhibition of FASN and ERα signalling during hyperglycaemia-induced matrix-specific EMT promotes breast cancer cell invasion via a caveolin-1-dependent mechanism. Cancer Lett. 2018;419:187–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Hung CM, Kuo DH, Chou CH, Su YC, Ho CT, Way TD. Osthole suppresses hepatocyte growth factor (HGF)-induced epithelial-mesenchymal transition via repression of the c-Met/Akt/mTOR pathway in human breast cancer cells. J Agric Food Chem. 2011;59:9683–90. [DOI] [PubMed] [Google Scholar]
  • 102.Menendez JA, Papadimitropoulou A, Vander Steen T, Cuyàs E, Oza-Gajera BP, Verdura S, Espinoza I, Vellon L, Mehmi I, Lupu R: Fatty Acid Synthase Confers Tamoxifen Resistance to ER+/HER2+ Breast Cancer. Cancers (Basel). 2021;13(5):1132. [DOI] [PMC free article] [PubMed]
  • 103.Menendez JA, Mehmi I, Papadimitropoulou A, Vander Steen T, Cuyàs E, Verdura S, Espinoza I, Vellon L, Atlas E, Lupu R: Fatty Acid Synthase Is a Key Enabler for Endocrine Resistance in Heregulin-Overexpressing Luminal B-Like Breast Cancer. Int J Mol Sci. 2020;21(20):7661. [DOI] [PMC free article] [PubMed]
  • 104.Gruslova A, McClellan B, Balinda HU, Viswanadhapalli S, Alers V, Sareddy GR, Huang T, Garcia M, deGraffenried L, Vadlamudi RK, Brenner AJ. FASN inhibition as a potential treatment for endocrine-resistant breast cancer. Breast Cancer Res Treat. 2021;187:375–86. [DOI] [PubMed] [Google Scholar]
  • 105.Al-Bahlani S, Al-Lawati H, Al-Adawi M, Al-Abri N, Al-Dhahli B, Al-Adawi K. Fatty acid synthase regulates the chemosensitivity of breast cancer cells to cisplatin-induced apoptosis. Apoptosis. 2017;22:865–76. [DOI] [PubMed] [Google Scholar]
  • 106.Rabionet M, Polonio-Alcalá E, Relat J, Yeste M, Sims-Mourtada J, Kloxin AM, Planas M, Feliu L, Ciurana J, Puig T. Fatty acid synthase as a feasible biomarker for triple negative breast cancer stem cell subpopulation cultured on electrospun scaffolds. Mater Today Bio. 2021;12: 100155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Jin Q, Yuan LX, Boulbes D, Baek JM, Wang YN, Gomez-Cabello D, Hawke DH, Yeung SC, Lee MH, Hortobagyi GN, et al. Fatty acid synthase phosphorylation: a novel therapeutic target in HER2-overexpressing breast cancer cells. Breast Cancer Res. 2010;12:R96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Koundouros N, Poulogiannis G. Reprogramming of fatty acid metabolism in cancer. Br J Cancer. 2020;122:4–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Menendez JA, Vellon L, Mehmi I, Oza BP, Ropero S, Colomer R, Lupu R. Inhibition of fatty acid synthase (FAS) suppresses HER2/neu (erbB-2) oncogene overexpression in cancer cells. Proc Natl Acad Sci U S A. 2004;101:10715–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Yang YA, Han WF, Morin PJ, Chrest FJ, Pizer ES. Activation of fatty acid synthesis during neoplastic transformation: role of mitogen-activated protein kinase and phosphatidylinositol 3-kinase. Exp Cell Res. 2002;279:80–90. [DOI] [PubMed] [Google Scholar]
  • 111.Li P, Tian W, Ma X. Alpha-mangostin inhibits intracellular fatty acid synthase and induces apoptosis in breast cancer cells. Mol Cancer. 2014;13:138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Kim K, Kim HY, Cho HK, Kim KH, Cheong J. The SDF-1alpha/CXCR4 axis induces the expression of fatty acid synthase via sterol regulatory element-binding protein-1 activation in cancer cells. Carcinogenesis. 2010;31:679–86. [DOI] [PubMed] [Google Scholar]
  • 113.Zhao Y, Li H, Zhang Y, Li L, Fang R, Li Y, Liu Q, Zhang W, Qiu L, Liu F, et al. Oncoprotein HBXIP Modulates Abnormal Lipid Metabolism and Growth of Breast Cancer Cells by Activating the LXRs/SREBP-1c/FAS Signaling Cascade. Cancer Res. 2016;76:4696–707. [DOI] [PubMed] [Google Scholar]
  • 114.Zhang N, Zhang H, Liu Y, Su P, Zhang J, Wang X, Sun M, Chen B, Zhao W, Wang L, et al. SREBP1, targeted by miR-18a-5p, modulates epithelial-mesenchymal transition in breast cancer via forming a co-repressor complex with Snail and HDAC1/2. Cell Death Differ. 2019;26:843–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Hu P, Zhou P, Sun T, Liu D, Yin J, Liu L. Therapeutic protein PAK restrains the progression of triple negative breast cancer through degrading SREBP-1 mRNA. Breast Cancer Res. 2023;25:151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Chandran K, Goswami S, Sharma-Walia N. Implications of a peroxisome proliferator-activated receptor alpha (PPARα) ligand clofibrate in breast cancer. Oncotarget. 2016;7:15577–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Bauer DE, Hatzivassiliou G, Zhao F, Andreadis C, Thompson CB. ATP citrate lyase is an important component of cell growth and transformation. Oncogene. 2005;24:6314–22. [DOI] [PubMed] [Google Scholar]
  • 118.Zu XY, Zhang QH, Liu JH, Cao RX, Zhong J, Yi GH, Quan ZH, Pizzorno G. ATP citrate lyase inhibitors as novel cancer therapeutic agents. Recent Pat Anticancer Drug Discov. 2012;7:154–67. [DOI] [PubMed] [Google Scholar]
  • 119.Szutowicz A, Kwiatkowski J, Angielski S. Lipogenetic and glycolytic enzyme activities in carcinoma and nonmalignant diseases of the human breast. Br J Cancer. 1979;39:681–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Wang D, Yin L, Wei J, Yang Z, Jiang G. ATP citrate lyase is increased in human breast cancer, depletion of which promotes apoptosis. Tumour Biol. 2017;39:1010428317698338. [DOI] [PubMed] [Google Scholar]
  • 121.Chen Y, Li K, Gong D, Zhang J, Li Q, Zhao G, Lin P. ACLY: A biomarker of recurrence in breast cancer. Pathol Res Pract. 2020;216: 153076. [DOI] [PubMed] [Google Scholar]
  • 122.Lu Y, Tian L, Peng C, Kong J, Xiao P, Li N. ACLY-induced reprogramming of glycolytic metabolism plays an important role in the progression of breast cancer. Acta Biochim Biophys Sin (Shanghai). 2023;55:878–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Lucenay KS, Doostan I, Karakas C, Bui T, Ding Z, Mills GB, Hunt KK, Keyomarsi K. Cyclin E Associates with the Lipogenic Enzyme ATP-Citrate Lyase to Enable Malignant Growth of Breast Cancer Cells. Cancer Res. 2016;76:2406–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Berwick DC, Hers I, Heesom KJ, Moule SK, Tavare JM. The identification of ATP-citrate lyase as a protein kinase B (Akt) substrate in primary adipocytes. J Biol Chem. 2002;277:33895–900. [DOI] [PubMed] [Google Scholar]
  • 125.Velez BC, Petrella CP, DiSalvo KH, Cheng K, Kravtsov R, Krasniqi D, Krucher NA: Combined inhibition of ACLY and CDK4/6 reduces cancer cell growth and invasion. Oncol Rep. 2023;49(2):32. [DOI] [PMC free article] [PubMed]
  • 126.Granchi C. ATP citrate lyase (ACLY) inhibitors: An anti-cancer strategy at the crossroads of glucose and lipid metabolism. Eur J Med Chem. 2018;157:1276–91. [DOI] [PubMed] [Google Scholar]
  • 127.Li L, Zhang X, Xu G, Xue R, Li S, Wu S, Yang Y, Lin Y, Lin J, Liu G, et al. Transcriptional Regulation of De Novo Lipogenesis by SIX1 in Liver Cancer Cells. Adv Sci (Weinh). 2024;11: e2404229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Bruning U, Morales-Rodriguez F, Kalucka J, Goveia J, Taverna F, Queiroz KCS, Dubois C, Cantelmo AR, Chen R, Loroch S, et al. Impairment of Angiogenesis by Fatty Acid Synthase Inhibition Involves mTOR Malonylation. Cell Metab. 2018;28:866-880.e815. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Wakil SJ, Abu-Elheiga LA. Fatty acid metabolism: target for metabolic syndrome. J Lipid Res. 2009;50(Suppl):S138-143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Sinilnikova OM, Ginolhac SM, Magnard C, Léoné M, Anczukow O, Hughes D, Moreau K, Thompson D, Coutanson C, Hall J, et al. Acetyl-CoA carboxylase alpha gene and breast cancer susceptibility. Carcinogenesis. 2004;25:2417–24. [DOI] [PubMed] [Google Scholar]
  • 131.Zhan Y, Ginanni N, Tota MR, Wu M, Bays NW, Richon VM, Kohl NE, Bachman ES, Strack PR, Krauss S. Control of cell growth and survival by enzymes of the fatty acid synthesis pathway in HCT-116 colon cancer cells. Clin Cancer Res. 2008;14:5735–42. [DOI] [PubMed] [Google Scholar]
  • 132.Zhao S, Cheng L, Shi Y, Li J, Yun Q, Yang H. MIEF2 reprograms lipid metabolism to drive progression of ovarian cancer through ROS/AKT/mTOR signaling pathway. Cell Death Dis. 2021;12:18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Ye B, Yin L, Wang Q, Xu C. ACC1 is overexpressed in liver cancers and contributes to the proliferation of human hepatoma Hep G2 cells and the rat liver cell line BRL 3A. Mol Med Rep. 2019;19:3431–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Fang W, Cui H, Yu D, Chen Y, Wang J, Yu G. Increased expression of phospho-acetyl-CoA carboxylase protein is an independent prognostic factor for human gastric cancer without lymph node metastasis. Med Oncol. 2014;31:15. [DOI] [PubMed] [Google Scholar]
  • 135.Jin M, Yuan C, Duan S, Zeng B, Pan L. Downregulation of ACC expression suppresses cell viability and migration in the malignant progression of breast cancer. Exp Ther Med. 2023;26:445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Chajès V, Cambot M, Moreau K, Lenoir GM, Joulin V. Acetyl-CoA carboxylase alpha is essential to breast cancer cell survival. Cancer Res. 2006;66:5287–94. [DOI] [PubMed] [Google Scholar]
  • 137.Corominas-Faja B, Cuyàs E, Gumuzio J, Bosch-Barrera J, Leis O, Martin ÁG, Menendez JA. Chemical inhibition of acetyl-CoA carboxylase suppresses self-renewal growth of cancer stem cells. Oncotarget. 2014;5:8306–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Marczyk M, Gunasekharan V, Casadevall D, Qing T, Foldi J, Sehgal R, Shan NL, Blenman KRM, O’Meara TA, Umlauf S, et al. Comprehensive Analysis of Metabolic Isozyme Targets in Cancer. Cancer Res. 2022;82:1698–711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Bacci M, Lorito N, Smiriglia A, Subbiani A, Bonechi F, Comito G, Morriset L, El Botty R, Benelli M, López-Velazco JI, et al. Acetyl-CoA carboxylase 1 controls a lipid droplet-peroxisome axis and is a vulnerability of endocrine-resistant ER(+) breast cancer. Sci Transl Med. 2024;16:eadf9874. [DOI] [PubMed] [Google Scholar]
  • 140.Wang F, Ma S, Chen P, Han Y, Liu Z, Wang X, Sun C, Yu Z. Imaging the metabolic reprograming of fatty acid synthesis pathway enables new diagnostic and therapeutic opportunity for breast cancer. Cancer Cell Int. 2023;23:83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Huang YC, Hou MF, Tsai YM, Pan YC, Tsai PH, Lin YS, Chang CY, Tsai EM, Hsu YL. Involvement of ACACA (acetyl-CoA carboxylase α) in the lung pre-metastatic niche formation in breast cancer by senescence phenotypic conversion in fibroblasts. Cell Oncol (Dordr). 2023;46:643–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Rios Garcia M, Steinbauer B, Srivastava K, Singhal M, Mattijssen F, Maida A, Christian S, Hess-Stumpp H, Augustin HG, Müller-Decker K, et al. Acetyl-CoA Carboxylase 1-Dependent Protein Acetylation Controls Breast Cancer Metastasis and Recurrence. Cell Metab. 2017;26:842-855.e845. [DOI] [PubMed] [Google Scholar]
  • 143.Angelucci C, D’Alessio A, Iacopino F, Proietti G, Di Leone A, Masetti R, Sica G. Pivotal role of human stearoyl-CoA desaturases (SCD1 and 5) in breast cancer progression: oleic acid-based effect of SCD1 on cell migration and a novel pro-cell survival role for SCD5. Oncotarget. 2018;9:24364–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Peck B, Schug ZT, Zhang Q, Dankworth B, Jones DT, Smethurst E, Patel R, Mason S, Jiang M, Saunders R, et al. Inhibition of fatty acid desaturation is detrimental to cancer cell survival in metabolically compromised environments. Cancer Metab. 2016;4:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Scaglia N, Igal RA. Stearoyl-CoA desaturase is involved in the control of proliferation, anchorage-independent growth, and survival in human transformed cells. J Biol Chem. 2005;280:25339–49. [DOI] [PubMed] [Google Scholar]
  • 146.Edmond V, Dufour F, Poiroux G, Shoji K, Malleter M, Fouqué A, Tauzin S, Rimokh R, Sergent O, Penna A, et al. Downregulation of ceramide synthase-6 during epithelial-to-mesenchymal transition reduces plasma membrane fluidity and cancer cell motility. Oncogene. 2015;34:996–1005. [DOI] [PubMed] [Google Scholar]
  • 147.Sefidabi R, Alizadeh A, Alipour S, Omranipour R, Shahhoseini M, Izadi A, Vesali S, Moini A. Fatty acid profiles and Delta9 desaturase (stearoyl-CoA desaturase; SCD 1) expression in adipose tissue surrounding benign and malignant breast tumors. Heliyon. 2023;9: e20658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Holder AM, Gonzalez-Angulo AM, Chen H, Akcakanat A, Do KA, Fraser Symmans W, Pusztai L, Hortobagyi GN, Mills GB, Meric-Bernstam F. High stearoyl-CoA desaturase 1 expression is associated with shorter survival in breast cancer patients. Breast Cancer Res Treat. 2013;137:319–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Krasniqi E, Di Lisa FS, Di Benedetto A, Barba M, Pizzuti L, Filomeno L, Ercolani C, Tinari N, Grassadonia A, Santini D, et al: The Impact of the Hippo Pathway and Cell Metabolism on Pathological Complete Response in Locally Advanced Her2+ Breast Cancer: The TRISKELE Multicenter Prospective Study. Cancers (Basel). 2022;14(19):4835. [DOI] [PMC free article] [PubMed]
  • 150.Tracz-Gaszewska Z, Dobrzyn P: Stearoyl-CoA Desaturase 1 as a Therapeutic Target for the Treatment of Cancer. Cancers (Basel). 2019;11(7):948. [DOI] [PMC free article] [PubMed]
  • 151.Luyimbazi D, Akcakanat A, McAuliffe PF, Zhang L, Singh G, Gonzalez-Angulo AM, Chen H, Do KA, Zheng Y, Hung MC, et al. Rapamycin regulates stearoyl CoA desaturase 1 expression in breast cancer. Mol Cancer Ther. 2010;9:2770–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Chen J, Lv S, Huang B, Ma X, Fu S, Zhao Y. Upregulation of SCD1 by ErbB2 via LDHA promotes breast cancer cell migration and invasion. Med Oncol. 2022;40:40. [DOI] [PubMed] [Google Scholar]
  • 153.Lingrand M, Lalonde S, Jutras-Carignan A, Bergeron KF, Rassart E, Mounier C. SCD1 activity promotes cell migration via a PLD-mTOR pathway in the MDA-MB-231 triple-negative breast cancer cell line. Breast Cancer. 2020;27:594–606. [DOI] [PubMed] [Google Scholar]
  • 154.Mauvoisin D, Charfi C, Lounis AM, Rassart E, Mounier C. Decreasing stearoyl-CoA desaturase-1 expression inhibits β-catenin signaling in breast cancer cells. Cancer Sci. 2013;104:36–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Rios-Esteves J, Resh MD. Stearoyl CoA desaturase is required to produce active, lipid-modified Wnt proteins. Cell Rep. 2013;4:1072–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Li P, Lin Q, Sun S, Yang N, Xia Y, Cao S, Zhang W, Li Q, Guo H, Zhu M, et al. Inhibition of cannabinoid receptor type 1 sensitizes triple-negative breast cancer cells to ferroptosis via regulating fatty acid metabolism. Cell Death Dis. 2022;13:808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Yi J, Zhu J, Wu J, Thompson CB, Jiang X. Oncogenic activation of PI3K-AKT-mTOR signaling suppresses ferroptosis via SREBP-mediated lipogenesis. Proc Natl Acad Sci U S A. 2020;117:31189–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Umetani M, Domoto H, Gormley AK, Yuhanna IS, Cummins CL, Javitt NB, Korach KS, Shaul PW, Mangelsdorf DJ. 27-Hydroxycholesterol is an endogenous SERM that inhibits the cardiovascular effects of estrogen. Nat Med. 2007;13:1185–92. [DOI] [PubMed] [Google Scholar]
  • 159.Ahmad F, Sun Q, Patel D, Stommel JM: Cholesterol Metabolism: A Potential Therapeutic Target in Glioblastoma. Cancers (Basel). 2019;11(2):146. [DOI] [PMC free article] [PubMed]
  • 160.Mollinedo F, Gajate C. Lipid rafts as major platforms for signaling regulation in cancer. Adv Biol Regul. 2015;57:130–46. [DOI] [PubMed] [Google Scholar]
  • 161.Cohen DE. Balancing cholesterol synthesis and absorption in the gastrointestinal tract. J Clin Lipidol. 2008;2:S1-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Danilo C, Frank PG. Cholesterol and breast cancer development. Curr Opin Pharmacol. 2012;12:677–82. [DOI] [PubMed] [Google Scholar]
  • 163.Chen F, Lu Y, Lin J, Kang R, Liu J. Cholesterol Metabolism in Cancer and Cell Death. Antioxid Redox Signal. 2023;39:102–40. [DOI] [PubMed] [Google Scholar]
  • 164.Jacquemyn J, Cascalho A, Goodchild RE. The ins and outs of endoplasmic reticulum-controlled lipid biosynthesis. EMBO Rep. 2017;18:1905–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Liscum L, Finer-Moore J, Stroud RM, Luskey KL, Brown MS, Goldstein JL. Domain structure of 3-hydroxy-3-methylglutaryl coenzyme A reductase, a glycoprotein of the endoplasmic reticulum. J Biol Chem. 1985;260:522–30. [PubMed] [Google Scholar]
  • 166.Beckwitt CH, Brufsky A, Oltvai ZN, Wells A. Statin drugs to reduce breast cancer recurrence and mortality. Breast Cancer Res. 2018;20:144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Brown DN, Caffa I, Cirmena G, Piras D, Garuti A, Gallo M, Alberti S, Nencioni A, Ballestrero A, Zoppoli G. Squalene epoxidase is a bona fide oncogene by amplification with clinical relevance in breast cancer. Sci Rep. 2016;6:19435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Wang B, Tontonoz P. Liver X receptors in lipid signalling and membrane homeostasis. Nat Rev Endocrinol. 2018;14:452–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Baek AE, Nelson ER. The Contribution of Cholesterol and Its Metabolites to the Pathophysiology of Breast Cancer. Horm Cancer. 2016;7:219–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Mullen PJ, Yu R, Longo J, Archer MC, Penn LZ. The interplay between cell signalling and the mevalonate pathway in cancer. Nat Rev Cancer. 2016;16:718–31. [DOI] [PubMed] [Google Scholar]
  • 171.Nazih H, Bard JM: Cholesterol, Oxysterols and LXRs in Breast Cancer Pathophysiology. Int J Mol Sci. 2020;21(4):1356. [DOI] [PMC free article] [PubMed]
  • 172.Gabitova L, Gorin A, Astsaturov I. Molecular pathways: sterols and receptor signaling in cancer. Clin Cancer Res. 2014;20:28–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Peetla C, Vijayaraghavalu S, Labhasetwar V. Biophysics of cell membrane lipids in cancer drug resistance: Implications for drug transport and drug delivery with nanoparticles. Adv Drug Deliv Rev. 2013;65:1686–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Sok M, Sentjurc M, Schara M, Stare J, Rott T. Cell membrane fluidity and prognosis of lung cancer. Ann Thorac Surg. 2002;73:1567–71. [DOI] [PubMed] [Google Scholar]
  • 175.Bianchini F, Kaaks R, Vainio H. Overweight, obesity, and cancer risk. Lancet Oncol. 2002;3:565–74. [DOI] [PubMed] [Google Scholar]
  • 176.Capasso I, Esposito E, Pentimalli F, Crispo A, Montella M, Grimaldi M, De Marco M, Cavalcanti E, D’Aiuto M, Fucito A, et al. Metabolic syndrome affects breast cancer risk in postmenopausal women: National Cancer Institute of Naples experience. Cancer Biol Ther. 2010;10:1240–3. [DOI] [PubMed] [Google Scholar]
  • 177.Ben Hassen C, Goupille C, Vigor C, Durand T, Guéraud F, Silvente-Poirot S, Poirot M, Frank PG. Is cholesterol a risk factor for breast cancer incidence and outcome? J Steroid Biochem Mol Biol. 2023;232: 106346. [DOI] [PubMed] [Google Scholar]
  • 178.Tulinius H, Sigfússon N, Sigvaldason H, Bjarnadóttir K, Tryggvadóttir L. Risk factors for malignant diseases: a cohort study on a population of 22,946 Icelanders. Cancer Epidemiol Biomarkers Prev. 1997;6:863–73. [PubMed] [Google Scholar]
  • 179.Llanos AA, Makambi KH, Tucker CA, Wallington SF, Shields PG, Adams-Campbell LL. Cholesterol, lipoproteins, and breast cancer risk in African American women. Ethn Dis. 2012;22:281–7. [PMC free article] [PubMed] [Google Scholar]
  • 180.His M, Zelek L, Deschasaux M, Pouchieu C, Kesse-Guyot E, Hercberg S, Galan P, Latino-Martel P, Blacher J, Touvier M. Prospective associations between serum biomarkers of lipid metabolism and overall, breast and prostate cancer risk. Eur J Epidemiol. 2014;29:119–32. [DOI] [PubMed] [Google Scholar]
  • 181.Peila R, Rohan TE. Circulating levels of biomarkers and risk of ductal carcinoma in situ of the breast in the UK Biobank study. Int J Cancer. 2024;154:1191–203. [DOI] [PubMed] [Google Scholar]
  • 182.Carter PR, Uppal H, Chandran S, Bainey KR, Potluri R, Algorithm for Comorbidities A, Length of Stay, Unit MR: 3106Patients with a diagnosis of hyperlipidaemia have a reduced risk of developing breast cancer and lower mortality rates: a large retrospective longitudinal cohort study from the UK ACALM registry. Eur Heart J. 2017;38(suppl_1):ehx504.3106.
  • 183.Touvier M, Fassier P, His M, Norat T, Chan DS, Blacher J, Hercberg S, Galan P, Druesne-Pecollo N, Latino-Martel P. Cholesterol and breast cancer risk: a systematic review and meta-analysis of prospective studies. Br J Nutr. 2015;114:347–57. [DOI] [PubMed] [Google Scholar]
  • 184.Ha M, Sung J, Song YM. Serum total cholesterol and the risk of breast cancer in postmenopausal Korean women. Cancer Causes Control. 2009;20:1055–60. [DOI] [PubMed] [Google Scholar]
  • 185.Kitahara CM. Berrington de González A, Freedman ND, Huxley R, Mok Y, Jee SH, Samet JM: Total cholesterol and cancer risk in a large prospective study in Korea. J Clin Oncol. 2011;29:1592–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Li C, Yang L, Zhang D, Jiang W. Systematic review and meta-analysis suggest that dietary cholesterol intake increases risk of breast cancer. Nutr Res. 2016;36:627–35. [DOI] [PubMed] [Google Scholar]
  • 187.Gaard M, Tretli S, Urdal P. Risk of breast cancer in relation to blood lipids: a prospective study of 31,209 Norwegian women. Cancer Causes Control. 1994;5:501–9. [DOI] [PubMed] [Google Scholar]
  • 188.Hiatt RA, Fireman BH. Serum cholesterol and the incidence of cancer in a large cohort. J Chronic Dis. 1986;39:861–70. [DOI] [PubMed] [Google Scholar]
  • 189.Steenland K, Nowlin S, Palu S. Cancer incidence in the National Health and Nutrition Survey I. Follow-up data: diabetes, cholesterol, pulse and physical activity. Cancer Epidemiol Biomarkers Prev. 1995;4:807–11. [PubMed] [Google Scholar]
  • 190.Moorman PG, Hulka BS, Hiatt RA, Krieger N, Newman B, Vogelman JH, Orentreich N. Association between high-density lipoprotein cholesterol and breast cancer varies by menopausal status. Cancer Epidemiol Biomarkers Prev. 1998;7:483–8. [PubMed] [Google Scholar]
  • 191.His M, Dartois L, Fagherazzi G, Boutten A, Dupré T, Mesrine S, Boutron-Ruault MC, Clavel-Chapelon F, Dossus L. Associations between serum lipids and breast cancer incidence and survival in the E3N prospective cohort study. Cancer Causes Control. 2017;28:77–88. [DOI] [PubMed] [Google Scholar]
  • 192.Melvin JC, Seth D, Holmberg L, Garmo H, Hammar N, Jungner I, Walldius G, Lambe M, Wigertz A, Van Hemelrijck M. Lipid profiles and risk of breast and ovarian cancer in the Swedish AMORIS study. Cancer Epidemiol Biomarkers Prev. 2012;21:1381–4. [DOI] [PubMed] [Google Scholar]
  • 193.Pan SY, Johnson KC, Ugnat AM, Wen SW, Mao Y. Association of obesity and cancer risk in Canada. Am J Epidemiol. 2004;159:259–68. [DOI] [PubMed] [Google Scholar]
  • 194.Negre-Salvayre A, Coatrieux C, Ingueneau C, Salvayre R. Advanced lipid peroxidation end products in oxidative damage to proteins. Potential role in diseases and therapeutic prospects for the inhibitors. Br J Pharmacol. 2008;153:6–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Thangasparan S, Kamisah Y, Ugusman A, Mohamad Anuar NN, Ibrahim N: Unravelling the Mechanisms of Oxidised Low-Density Lipoprotein in Cardiovascular Health: Current Evidence from In Vitro and In Vivo Studies. Int J Mol Sci. 2024;25(24):13292. [DOI] [PMC free article] [PubMed]
  • 196.Di Pietro N, Formoso G, Pandolfi A. Physiology and pathophysiology of oxLDL uptake by vascular wall cells in atherosclerosis. Vascul Pharmacol. 2016;84:1–7. [DOI] [PubMed] [Google Scholar]
  • 197.Deng CF, Zhu N, Zhao TJ, Li HF, Gu J, Liao DF, Qin L. Involvement of LDL and ox-LDL in Cancer Development and Its Therapeutical Potential. Front Oncol. 2022;12: 803473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Keshk WA, Zineldeen DH, Wasfy RE, El-Khadrawy OH. Fatty acid synthase/oxidized low-density lipoprotein as metabolic oncogenes linking obesity to colon cancer via NF-kappa B in Egyptians. Med Oncol. 2014;31:192. [DOI] [PubMed] [Google Scholar]
  • 199.Murdocca M, Mango R, Pucci S, Biocca S, Testa B, Capuano R, Paolesse R, Sanchez M, Orlandi A, di Natale C, et al. The lectin-like oxidized LDL receptor-1: a new potential molecular target in colorectal cancer. Oncotarget. 2016;7:14765–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Zhang J, Zhang L, Li C, Yang C, Li L, Song S, Wu H, Liu F, Wang L, Gu J. LOX-1 is a poor prognostic indicator and induces epithelial-mesenchymal transition and metastasis in pancreatic cancer patients. Cell Oncol (Dordr). 2018;41:73–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Wan F, Qin X, Zhang G, Lu X, Zhu Y, Zhang H, Dai B, Shi G, Ye D. Oxidized low-density lipoprotein is associated with advanced-stage prostate cancer. Tumour Biol. 2015;36:3573–82. [DOI] [PubMed] [Google Scholar]
  • 202.Sheng D, Ma W, Zhang R, Zhou L, Deng Q, Tu J, Chen W, Zhang F, Gao N, Dong M, et al: Ccl3 enhances docetaxel chemosensitivity in breast cancer by triggering proinflammatory macrophage polarization. J Immunother Cancer. 2022;10(5):e003793. [DOI] [PMC free article] [PubMed]
  • 203.Delimaris I, Faviou E, Antonakos G, Stathopoulou E, Zachari A, Dionyssiou-Asteriou A. Oxidized LDL, serum oxidizability and serum lipid levels in patients with breast or ovarian cancer. Clin Biochem. 2007;40:1129–34. [DOI] [PubMed] [Google Scholar]
  • 204.Pucci S, Polidoro C, Greggi C, Amati F, Morini E, Murdocca M, Biancolella M, Orlandi A, Sangiuolo F, Novelli G. Pro-oncogenic action of LOX-1 and its splice variant LOX-1Δ4 in breast cancer phenotypes. Cell Death Dis. 2019;10:53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Khaidakov M, Mehta JL. Oxidized LDL triggers pro-oncogenic signaling in human breast mammary epithelial cells partly via stimulation of MiR-21. PLoS ONE. 2012;7: e46973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Sun X, Fu X, Xu S, Qiu P, Lv Z, Cui M, Zhang Q, Xu Y. OLR1 is a prognostic factor and correlated with immune infiltration in breast cancer. Int Immunopharmacol. 2021;101: 108275. [DOI] [PubMed] [Google Scholar]
  • 207.Wang B, Zhao H, Zhao L, Zhang Y, Wan Q, Shen Y, Bu X, Wan M, Shen C. Up-regulation of OLR1 expression by TBC1D3 through activation of TNFα/NF-κB pathway promotes the migration of human breast cancer cells. Cancer Lett. 2017;408:60–70. [DOI] [PubMed] [Google Scholar]
  • 208.Hirsch HA, Iliopoulos D, Joshi A, Zhang Y, Jaeger SA, Bulyk M, Tsichlis PN, Shirley Liu X, Struhl K. A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases. Cancer Cell. 2010;17:348–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Liang M, Zhang P, Fu J. Up-regulation of LOX-1 expression by TNF-alpha promotes trans-endothelial migration of MDA-MB-231 breast cancer cells. Cancer Lett. 2007;258:31–7. [DOI] [PubMed] [Google Scholar]
  • 210.Yu M, Jiang M, Chen Y, Zhang S, Zhang W, Yang X, Li X, Li Y, Duan S, Han J, Duan Y. Inhibition of Macrophage CD36 Expression and Cellular Oxidized Low Density Lipoprotein (oxLDL) Accumulation by Tamoxifen: A PEROXISOME PROLIFERATOR-ACTIVATED RECEPTOR (PPAR)γ-DEPENDENT MECHANISM. J Biol Chem. 2016;291:16977–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211.Lauridsen AR, Skorda A, Winther NI, Bay ML, Kallunki T. Why make it if you can take it: review on extracellular cholesterol uptake and its importance in breast and ovarian cancers. J Exp Clin Cancer Res. 2024;43:254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Clendening JW, Pandyra A, Boutros PC, El Ghamrasni S, Khosravi F, Trentin GA, Martirosyan A, Hakem A, Hakem R, Jurisica I, Penn LZ. Dysregulation of the mevalonate pathway promotes transformation. Proc Natl Acad Sci U S A. 2010;107:15051–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213.Tang Q, Liang B, Zhang L, Li X, Li H, Jing W, Jiang Y, Zhou F, Zhang J, Meng Y, et al. Enhanced CHOLESTEROL biosynthesis promotes breast cancer metastasis via modulating CCDC25 expression and neutrophil extracellular traps formation. Sci Rep. 2022;12:17350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Butt S, Butt T, Jirström K, Hartman L, Amini RM, Zhou W, Wärnberg F, Borgquist S. The target for statins, HMG-CoA reductase, is expressed in ductal carcinoma-in situ and may predict patient response to radiotherapy. Ann Surg Oncol. 2014;21:2911–9. [DOI] [PubMed] [Google Scholar]
  • 215.Yulian ED, Siregar NC, Sudijono B, Hwei LRY. The role of HMGCR expression in combination therapy of simvastatin and FAC treated locally advanced breast cancer patients. Breast Dis. 2023;42:73–83. [DOI] [PubMed] [Google Scholar]
  • 216.Mohamed M, Mohd Nafi SN, Jaafar H, Paiman NM. A Retrospective Hospital-Based Study of HMGCR Expression in HER2 IHC 2+ and 3+ Breast Cancer. Asian Pac J Cancer Prev. 2021;22:2043–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Conde J, Fernández-Pisonero I, Lorenzo-Martín LF, García-Gómez R, Casar B, Crespo P, Bustelo XR: The mevalonate pathway contributes to breast primary tumorigenesis and lung metastasis. Mol Oncol. 2024;19(1):56–80. [DOI] [PMC free article] [PubMed]
  • 218.Marks MP, Giménez CA, Isaja L, Vera MB, Borzone FR, Pereyra-Bonnet F, Romorini L, Videla-Richardson GA, Chasseing NA, Calvo JC, Vellón L. Role of hydroxymethylglutharyl-coenzyme A reductase in the induction of stem-like states in breast cancer. J Cancer Res Clin Oncol. 2024;150:106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Göbel A, Breining D, Rauner M, Hofbauer LC, Rachner TD. Induction of 3-hydroxy-3-methylglutaryl-CoA reductase mediates statin resistance in breast cancer cells. Cell Death Dis. 2019;10:91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Lettiero B, Inasu M, Kimbung S, Borgquist S. Insensitivity to atorvastatin is associated with increased accumulation of intracellular lipid droplets and fatty acid metabolism in breast cancer cells. Sci Rep. 2018;8:5462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Tuluhong D, Gao H, Li X, Wang L, Zhu Y, Xu C, Wang J, Li H, Li Q, Wang S. Squalene epoxidase promotes breast cancer progression by regulating CCNB1 protein stability. Exp Cell Res. 2023;433: 113805. [DOI] [PubMed] [Google Scholar]
  • 222.Tang W, Xu F, Zhao M, Zhang S. Ferroptosis regulators, especially SQLE, play an important role in prognosis, progression and immune environment of breast cancer. BMC Cancer. 2021;21:1160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Qin Y, Hou Y, Liu S, Zhu P, Wan X, Zhao M, Peng M, Zeng H, Li Q, Jin T, et al. A Novel Long Non-Coding RNA lnc030 Maintains Breast Cancer Stem Cell Stemness by Stabilizing SQLE mRNA and Increasing Cholesterol Synthesis. Adv Sci (Weinh). 2021;8:2002232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Hoque M, Rentero C, Conway JR, Murray RZ, Timpson P, Enrich C, Grewal T. The cross-talk of LDL-cholesterol with cell motility: insights from the Niemann Pick Type C1 mutation and altered integrin trafficking. Cell Adh Migr. 2015;9:384–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Pussinen PJ, Karten B, Wintersperger A, Reicher H, McLean M, Malle E, Sattler W. The human breast carcinoma cell line HBL-100 acquires exogenous cholesterol from high-density lipoprotein via CLA-1 (CD-36 and LIMPII analogous 1)-mediated selective cholesteryl ester uptake. Biochem J. 2000;349:559–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Cao WM, Murao K, Imachi H, Yu X, Abe H, Yamauchi A, Niimi M, Miyauchi A, Wong NC, Ishida T. A mutant high-density lipoprotein receptor inhibits proliferation of human breast cancer cells. Cancer Res. 2004;64:1515–21. [DOI] [PubMed] [Google Scholar]
  • 227.Yuan B, Wu C, Wang X, Wang D, Liu H, Guo L, Li XA, Han J, Feng H. High scavenger receptor class B type I expression is related to tumor aggressiveness and poor prognosis in breast cancer. Tumour Biol. 2016;37:3581–8. [DOI] [PubMed] [Google Scholar]
  • 228.Danilo C, Gutierrez-Pajares JL, Mainieri MA, Mercier I, Lisanti MP, Frank PG. Scavenger receptor class B type I regulates cellular cholesterol metabolism and cell signaling associated with breast cancer development. Breast Cancer Res. 2013;15:R87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Shen S, Shen M, Kuang L, Yang K, Wu S, Liu X, Wang Y, Wang Y. SIRT1/SREBPs-mediated regulation of lipid metabolism. Pharmacol Res. 2024;199: 107037. [DOI] [PubMed] [Google Scholar]
  • 230.Jie Z, Xie Z, Xu W, Zhao X, Jin G, Sun X, Huang B, Tang P, Wang G, Shen S, et al. SREBP-2 aggravates breast cancer associated osteolysis by promoting osteoclastogenesis and breast cancer metastasis. Biochim Biophys Acta Mol Basis Dis. 2019;1865:115–25. [DOI] [PubMed] [Google Scholar]
  • 231.Bao J, Zhu L, Zhu Q, Su J, Liu M, Huang W. SREBP-1 is an independent prognostic marker and promotes invasion and migration in breast cancer. Oncol Lett. 2016;12:2409–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Moon SH, Huang CH, Houlihan SL, Regunath K, Freed-Pastor WA, Morris JPt, Tschaharganeh DF, Kastenhuber ER, Barsotti AM, CulpHill R, et al. Represses the Mevalonate Pathway to Mediate Tumor Suppression. Cell. 2019;176:564-580.e519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Jin S, Zhou F. Lipid raft redox signaling platforms in vascular dysfunction: features and mechanisms. Curr Atheroscler Rep. 2009;11:220–6. [DOI] [PubMed] [Google Scholar]
  • 234.Edidin M: Membrane cholesterol, protein phosphorylation, and lipid rafts. Sci STKE. 2001;2001(67):pe1. [DOI] [PubMed]
  • 235.Ruzzi F, Cappello C, Semprini MS, Scalambra L, Angelicola S, Pittino OM, Landuzzi L, Palladini A, Nanni P, Lollini PL. Lipid rafts, caveolae, and epidermal growth factor receptor family: friends or foes? Cell Commun Signal. 2024;22:489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Patra SK. Dissecting lipid raft facilitated cell signaling pathways in cancer. Biochim Biophys Acta. 2008;1785:182–206. [DOI] [PubMed] [Google Scholar]
  • 237.Gui T, Sun Y, Shimokado A, Muragaki Y. The Roles of Mitogen-Activated Protein Kinase Pathways in TGF-β-Induced Epithelial-Mesenchymal Transition. J Signal Transduct. 2012;2012: 289243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238.Ramseger R, White R, Kröger S. Transmembrane form agrin-induced process formation requires lipid rafts and the activation of Fyn and MAPK. J Biol Chem. 2009;284:7697–705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Porstmann T, Griffiths B, Chung YL, Delpuech O, Griffiths JR, Downward J, Schulze A. PKB/Akt induces transcription of enzymes involved in cholesterol and fatty acid biosynthesis via activation of SREBP. Oncogene. 2005;24:6465–81. [DOI] [PubMed] [Google Scholar]
  • 240.Chang Y, Wang J, Lu X, Thewke DP, Mason RJ. KGF induces lipogenic genes through a PI3K and JNK/SREBP-1 pathway in H292 cells. J Lipid Res. 2005;46:2624–35. [DOI] [PubMed] [Google Scholar]
  • 241.Kaysudu I, Gungul TB, Atici S, Yilmaz S, Bayram E, Guven G, Cizmecioglu NT, Sahin O, Yesiloz G, Haznedaroglu BZ, Cizmecioglu O. Cholesterol biogenesis is a PTEN-dependent actionable node for the treatment of endocrine therapy-refractory cancers. Cancer Sci. 2023;114:4365–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Peres C, Yart A, Perret B, Salles JP, Raynal P. Modulation of phosphoinositide 3-kinase activation by cholesterol level suggests a novel positive role for lipid rafts in lysophosphatidic acid signalling. FEBS Lett. 2003;534:164–8. [DOI] [PubMed] [Google Scholar]
  • 243.Oh HY, Lee EJ, Yoon S, Chung BH, Cho KS, Hong SJ. Cholesterol level of lipid raft microdomains regulates apoptotic cell death in prostate cancer cells through EGFR-mediated Akt and ERK signal transduction. Prostate. 2007;67:1061–9. [DOI] [PubMed] [Google Scholar]
  • 244.Perry JR, Murray A, Day FR, Ong KK. Molecular insights into the aetiology of female reproductive ageing. Nat Rev Endocrinol. 2015;11:725–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.McCabe JM, Leahy DJ. Smoothened goes molecular: new pieces in the hedgehog signaling puzzle. J Biol Chem. 2015;290:3500–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Huang P, Nedelcu D, Watanabe M, Jao C, Kim Y, Liu J, Salic A. Cellular Cholesterol Directly Activates Smoothened in Hedgehog Signaling. Cell. 2016;166:1176-1187.e1114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Gu L, Saha ST, Thomas J, Kaur M. Targeting cellular cholesterol for anticancer therapy. Febs j. 2019;286:4192–208. [DOI] [PubMed] [Google Scholar]
  • 248.Sorrentino G, Ruggeri N, Specchia V, Cordenonsi M, Mano M, Dupont S, Manfrin A, Ingallina E, Sommaggio R, Piazza S, et al. Metabolic control of YAP and TAZ by the mevalonate pathway. Nat Cell Biol. 2014;16:357–66. [DOI] [PubMed] [Google Scholar]
  • 249.Suzuki T, Miki Y, Moriya T, Shimada N, Ishida T, Hirakawa H, Ohuchi N, Sasano H. Estrogen-related receptor alpha in human breast carcinoma as a potent prognostic factor. Cancer Res. 2004;64:4670–6. [DOI] [PubMed] [Google Scholar]
  • 250.Bianco S, Lanvin O, Tribollet V, Macari C, North S, Vanacker JM. Modulating estrogen receptor-related receptor-alpha activity inhibits cell proliferation. J Biol Chem. 2009;284:23286–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Chisamore MJ, Wilkinson HA, Flores O, Chen JD. Estrogen-related receptor-alpha antagonist inhibits both estrogen receptor-positive and estrogen receptor-negative breast tumor growth in mouse xenografts. Mol Cancer Ther. 2009;8:672–81. [DOI] [PubMed] [Google Scholar]
  • 252.Wei W, Schwaid AG, Wang X, Wang X, Chen S, Chu Q, Saghatelian A, Wan Y. Ligand Activation of ERRα by Cholesterol Mediates Statin and Bisphosphonate Effects. Cell Metab. 2016;23:479–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Ghanbari F, Mader S, Philip A: Cholesterol as an Endogenous Ligand of ERRα Promotes ERRα-Mediated Cellular Proliferation and Metabolic Target Gene Expression in Breast Cancer Cells. Cells. 2020;9(8):1765. [DOI] [PMC free article] [PubMed]
  • 254.Brindisi M, Fiorillo M, Frattaruolo L, Sotgia F, Lisanti MP, Cappello AR: Cholesterol and Mevalonate: Two Metabolites Involved in Breast Cancer Progression and Drug Resistance through the ERRα Pathway. Cells. 2020;9(8):1819. [DOI] [PMC free article] [PubMed]
  • 255.Ruppert PMM, Kersten S: Mechanisms of hepatic fatty acid oxidation and ketogenesis during fasting. Trends Endocrinol Metab. 2023;35(2):107–24. [DOI] [PubMed]
  • 256.Fritzen AM, Lundsgaard AM, Kiens B. Tuning fatty acid oxidation in skeletal muscle with dietary fat and exercise. Nat Rev Endocrinol. 2020;16:683–96. [DOI] [PubMed] [Google Scholar]
  • 257.Ngo J, Choi DW, Stanley IA, Stiles L, Molina AJA, Chen PH, Lako A, Sung ICH, Goswami R, Kim MY, et al. Mitochondrial morphology controls fatty acid utilization by changing CPT1 sensitivity to malonyl-CoA. Embo j. 2023;42: e111901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Schlaepfer IR, Rider L, Rodrigues LU, Gijón MA, Pac CT, Romero L, Cimic A, Sirintrapun SJ, Glodé LM, Eckel RH, Cramer SD. Lipid catabolism via CPT1 as a therapeutic target for prostate cancer. Mol Cancer Ther. 2014;13:2361–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259.González-Romero F, Mestre D, Aurrekoetxea I, O’Rourke CJ, Andersen JB, Woodhoo A, Tamayo-Caro M, Varela-Rey M, Palomo-Irigoyen M, Gómez-Santos B, et al. E2F1 and E2F2-Mediated Repression of CPT2 Establishes a Lipid-Rich Tumor-Promoting Environment. Cancer Res. 2021;81:2874–87. [DOI] [PubMed] [Google Scholar]
  • 260.Carracedo A, Cantley LC, Pandolfi PP. Cancer metabolism: fatty acid oxidation in the limelight. Nat Rev Cancer. 2013;13:227–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Lopaschuk GD. Fatty Acid Oxidation and Its Relation with Insulin Resistance and Associated Disorders. Ann Nutr Metab. 2016;68(Suppl 3):15–20. [DOI] [PubMed] [Google Scholar]
  • 262.Corpas FJ, González-Gordo S, Palma JM. Nitric oxide and hydrogen sulfide modulate the NADPH-generating enzymatic system in higher plants. J Exp Bot. 2021;72:830–47. [DOI] [PubMed] [Google Scholar]
  • 263.Lee H, Woo SM, Jang H, Kang M, Kim SY. Cancer depends on fatty acids for ATP production: A possible link between cancer and obesity. Semin Cancer Biol. 2022;86:347–57. [DOI] [PubMed] [Google Scholar]
  • 264.Ahn S, Park JH, Grimm SL, Piyarathna DWB, Samanta T, Putluri V, Mezquita D, Fuqua SAW, Putluri N, Coarfa C, Kaipparettu BA: Metabolomic rewiring promotes endocrine therapy resistance in breast cancer. Cancer Res. 2023;84(2):291–304. [DOI] [PMC free article] [PubMed]
  • 265.O’Brien C, Ling T, Berman JM, Culp-Hill R, Reisz JA, Rondeau V, Jahangiri S, St-Germain J, Macwan V, Astori A, et al. Simultaneous inhibition of Sirtuin 3 and cholesterol homeostasis targets acute myeloid leukemia stem cells by perturbing fatty acid β-oxidation and inducing lipotoxicity. Haematologica. 2023;108:2343–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266.Tian T, Lu Y, Lin J, Chen M, Qiu H, Zhu W, Sun H, Huang J, Yang H, Deng W. CPT1A promotes anoikis resistance in esophageal squamous cell carcinoma via redox homeostasis. Redox Biol. 2022;58: 102544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 267.Zeng K, Li Q, Song G, Chen B, Luo M, Miao J, Liu B. CPT2-mediated fatty acid oxidation inhibits tumorigenesis and enhances sorafenib sensitivity via the ROS/PPARγ/NF-κB pathway in clear cell renal cell carcinoma. Cell Signal. 2023;110: 110838. [DOI] [PubMed] [Google Scholar]
  • 268.Zhu KG, Yang J, Zhu Y, Zhu Q, Pan W, Deng S, He Y, Zuo D, Wang P, Han Y, Zhang HY. The microprotein encoded by exosomal lncAKR1C2 promotes gastric cancer lymph node metastasis by regulating fatty acid metabolism. Cell Death Dis. 2023;14:708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 269.Li L, Ma SR, Yu ZL: Targeting the lipid metabolic reprogramming of tumor-associated macrophages: A novel insight into cancer immunotherapy. Cell Oncol (Dordr). 2023;47(2):415–28. [DOI] [PMC free article] [PubMed]
  • 270.Wang X, Eichhorn PJA, Thiery JP. TGF-β, EMT, and resistance to anti-cancer treatment. Semin Cancer Biol. 2023;97:1–11. [DOI] [PubMed] [Google Scholar]
  • 271.Wang T, Fahrmann JF, Lee H, Li YJ, Tripathi SC, Yue C, Zhang C, Lifshitz V, Song J, Yuan Y, et al. JAK/STAT3-Regulated Fatty Acid β-Oxidation Is Critical for Breast Cancer Stem Cell Self-Renewal and Chemoresistance. Cell Metab. 2018;27:1357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Li M, Xian HC, Tang YJ, Liang XH, Tang YL. Fatty acid oxidation: driver of lymph node metastasis. Cancer Cell Int. 2021;21:339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 273.Lee CK, Jeong SH, Jang C, Bae H, Kim YH, Park I, Kim SK, Koh GY. Tumor metastasis to lymph nodes requires YAP-dependent metabolic adaptation. Science. 2019;363:644–9. [DOI] [PubMed] [Google Scholar]
  • 274.Huang D, Li T, Li X, Zhang L, Sun L, He X, Zhong X, Jia D, Song L, Semenza GL, et al. HIF-1-mediated suppression of acyl-CoA dehydrogenases and fatty acid oxidation is critical for cancer progression. Cell Rep. 2014;8:1930–42. [DOI] [PubMed] [Google Scholar]
  • 275.Ito K, Carracedo A, Weiss D, Arai F, Ala U, Avigan DE, Schafer ZT, Evans RM, Suda T, Lee CH, Pandolfi PP. A PML–PPAR-δ pathway for fatty acid oxidation regulates hematopoietic stem cell maintenance. Nat Med. 2012;18:1350–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 276.Yu TJ, Ma D, Liu YY, Xiao Y, Gong Y, Jiang YZ, Shao ZM, Hu X, Di GH. Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in human breast cancers. Mol Ther. 2021;29:2350–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277.Casciano JC, Perry C, Cohen-Nowak AJ, Miller KD, Vande Voorde J, Zhang Q, Chalmers S, Sandison ME, Liu Q, Hedley A, et al. MYC regulates fatty acid metabolism through a multigenic program in claudin-low triple negative breast cancer. Br J Cancer. 2020;122:868–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278.Camarda R, Zhou AY, Kohnz RA, Balakrishnan S, Mahieu C, Anderton B, Eyob H, Kajimura S, Tward A, Krings G, et al. Inhibition of fatty acid oxidation as a therapy for MYC-overexpressing triple-negative breast cancer. Nat Med. 2016;22:427–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Dai JZ, Wang YJ, Chen CH, Tsai IL, Chao YC, Lin CW. YAP Dictates Mitochondrial Redox Homeostasis to Facilitate Obesity-Associated Breast Cancer Progression. Adv Sci (Weinh). 2022;9: e2103687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Nolan E, Lindeman GJ, Visvader JE. Deciphering breast cancer: from biology to the clinic. Cell. 2023;186:1708–28. [DOI] [PubMed] [Google Scholar]
  • 281.Yan C, Gao R, Gao C, Hong K, Cheng M, Liu X, Zhang Q, Zhang J. FDXR drives primary and endocrine-resistant tumor cell growth in ER+ breast cancer via CPT1A-mediated fatty acid oxidation. Front Oncol. 2023;13:1105117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 282.Duan L, Calhoun S, Shim D, Perez RE, Blatter LA, Maki CG. Fatty acid oxidation and autophagy promote endoxifen resistance and counter the effect of AKT inhibition in ER-positive breast cancer cells. J Mol Cell Biol. 2021;13:433–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Yu J, Du Y, Liu C, Xie Y, Yuan M, Shan M, Li N, Liu C, Wang Y, Qin J. Low GPR81 in ER(+) breast cancer cells drives tamoxifen resistance through inducing PPARα-mediated fatty acid oxidation. Life Sci. 2024;350: 122763. [DOI] [PubMed] [Google Scholar]
  • 284.Jiang C, Zhu Y, Chen H, Lin J, Xie R, Li W, Xue J, Chen L, Chen X, Xu S. Targeting c-Jun inhibits fatty acid oxidation to overcome tamoxifen resistance in estrogen receptor-positive breast cancer. Cell Death Dis. 2023;14:653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Li YJ, Fahrmann JF, Aftabizadeh M, Zhao Q, Tripathi SC, Zhang C, Yuan Y, Ann D, Hanash S, Yu H. Fatty acid oxidation protects cancer cells from apoptosis by increasing mitochondrial membrane lipids. Cell Rep. 2022;39: 110870. [DOI] [PubMed] [Google Scholar]
  • 286.Han S, Wei R, Zhang X, Jiang N, Fan M, Huang JH, Xie B, Zhang L, Miao W, Butler AC, et al. CPT1A/2-Mediated FAO Enhancement-A Metabolic Target in Radioresistant Breast Cancer. Front Oncol. 2019;9:1201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 287.Ni J, Kabraji S, Xie S, Wang Y, Pan P, He X, Liu Z, Leone JP, Long HW, Brown MA, et al. p16(INK4A)-deficiency predicts response to combined HER2 and CDK4/6 inhibition in HER2+ breast cancer brain metastases. Nat Commun. 2022;13:1473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288.Parida PK, Marquez-Palencia M, Ghosh S, Khandelwal N, Kim K, Nair V, Liu XZ, Vu HS, Zacharias LG, Gonzalez-Ericsson PI, et al. Limiting mitochondrial plasticity by targeting DRP1 induces metabolic reprogramming and reduces breast cancer brain metastases. Nat Cancer. 2023;4:893–907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289.Park JH, Vithayathil S, Kumar S, Sung PL, Dobrolecki LE, Putluri V, Bhat VB, Bhowmik SK, Gupta V, Arora K, et al. Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer. Cell Rep. 2016;14:2154–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 290.Liu QQ, Huo HY, Ao S, Liu T, Yang L, Fei ZY, Zhang ZQ, Ding L, Cui QH, Lin J, et al. TGF-β1-induced epithelial-mesenchymal transition increases fatty acid oxidation and OXPHOS activity via the p-AMPK pathway in breast cancer cells. Oncol Rep. 2020;44:1206–15. [DOI] [PubMed] [Google Scholar]
  • 291.Yang JH, Kim NH, Yun JS, Cho ES, Cha YH, Cho SB, Lee SH, Cha SY, Kim SY, Choi J, et al: Snail augments fatty acid oxidation by suppression of mitochondrial ACC2 during cancer progression. Life Sci Alliance. 2020;3(7):e202000683. [DOI] [PMC free article] [PubMed]
  • 292.Loo SY, Toh LP, Xie WH, Pathak E, Tan W, Ma S, Lee MY, Shatishwaran S, Yeo JZZ, Yuan J, et al. Fatty acid oxidation is a druggable gateway regulating cellular plasticity for driving metastasis in breast cancer. Sci Adv. 2021;7:eabh2443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 293.Wright HJ, Hou J, Xu B, Cortez M, Potma EO, Tromberg BJ, Razorenova OV. CDCP1 drives triple-negative breast cancer metastasis through reduction of lipid-droplet abundance and stimulation of fatty acid oxidation. Proc Natl Acad Sci U S A. 2017;114:E6556-e6565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 294.Lin J, Zhang P, Liu W, Liu G, Zhang J, Yan M, Duan Y, Yang N: A positive feedback loop between ZEB2 and ACSL4 regulates lipid metabolism to promote breast cancer metastasis. Elife. 2023;12:RP87510. [DOI] [PMC free article] [PubMed]
  • 295.Wang J, Xiang H, Lu Y, Wu T, Ji G. The role and therapeutic implication of CPTs in fatty acid oxidation and cancers progression. Am J Cancer Res. 2021;11:2477–94. [PMC free article] [PubMed] [Google Scholar]
  • 296.Tan Z, Zou Y, Zhu M, Luo Z, Wu T, Zheng C, Xie A, Wang H, Fang S, Liu S, et al. Carnitine palmitoyl transferase 1A is a novel diagnostic and predictive biomarker for breast cancer. BMC Cancer. 2021;21:409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 297.Wang CY, Wang CH, Mai RT, Chen TW, Li CW, Chao CH. Mutant p53-microRNA-200c-ZEB2-Axis-Induced CPT1C Elevation Contributes to Metabolic Reprogramming and Tumor Progression in Basal-Like Breast Cancers. Front Oncol. 2022;12: 940402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 298.Jariwala N, Mehta GA, Bhatt V, Hussein S, Parker KA, Yunus N, Parker JS, Guo JY, Gatza ML. CPT1A and fatty acid β-oxidation are essential for tumor cell growth and survival in hormone receptor-positive breast cancer. NAR Cancer. 2021;3:zcab035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 299.Xiong Y, Liu Z, Zhao X, Ruan S, Zhang X, Wang S, Huang T. CPT1A regulates breast cancer-associated lymphangiogenesis via VEGF signaling. Biomed Pharmacother. 2018;106:1–7. [DOI] [PubMed] [Google Scholar]
  • 300.Pucci S, Zonetti MJ, Fisco T, Polidoro C, Bocchinfuso G, Palleschi A, Novelli G, Spagnoli LG, Mazzarelli P. Carnitine palmitoyl transferase-1A (CPT1A): a new tumor specific target in human breast cancer. Oncotarget. 2016;7:19982–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 301.Muley H, Valencia K, Casas J, Moreno B, Botella L, Lecanda F, Fadó R, Casals N: Cpt1c Downregulation Causes Plasma Membrane Remodelling and Anthracycline Resistance in Breast Cancer. Int J Mol Sci. 2023;24(2):946. [DOI] [PMC free article] [PubMed]
  • 302.Zaugg K, Yao Y, Reilly PT, Kannan K, Kiarash R, Mason J, Huang P, Sawyer SK, Fuerth B, Faubert B, et al. Carnitine palmitoyltransferase 1C promotes cell survival and tumor growth under conditions of metabolic stress. Genes Dev. 2011;25:1041–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 303.Dixon SJ, Olzmann JA: The cell biology of ferroptosis. Nat Rev Mol Cell Biol. 2024;25(6):424–42. [DOI] [PMC free article] [PubMed]
  • 304.Li Y, Guo Y, Zhang K, Zhu R, Chen X, Zhang Z, Yang W. Cell Death Pathway Regulation by Functional Nanomedicines for Robust Antitumor Immunity. Adv Sci (Weinh). 2024;11: e2306580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 305.Jiang X, Peng Q, Peng M, Oyang L, Wang H, Liu Q, Xu X, Wu N, Tan S, Yang W, et al. Cellular metabolism: A key player in cancer ferroptosis. Cancer Commun (Lond). 2024;44:185–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 306.Jiang X, Stockwell BR, Conrad M. Ferroptosis: mechanisms, biology and role in disease. Nat Rev Mol Cell Biol. 2021;22:266–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 307.Xu C, Chen Y, Yu Q, Song J, Jin Y, Gao X. Compounds targeting ferroptosis in breast cancer: progress and their therapeutic potential. Front Pharmacol. 2023;14:1243286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 308.Park SY, Jeong KJ, Poire A, Zhang D, Tsang YH, Blucher AS, Mills GB. Irreversible HER2 inhibitors overcome resistance to the RSL3 ferroptosis inducer in non-HER2 amplified luminal breast cancer. Cell Death Dis. 2023;14:532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 309.Yang F, Xiao Y, Ding JH, Jin X, Ma D, Li DQ, Shi JX, Huang W, Wang YP, Jiang YZ, Shao ZM. Ferroptosis heterogeneity in triple-negative breast cancer reveals an innovative immunotherapy combination strategy. Cell Metab. 2023;35:84-100.e108. [DOI] [PubMed] [Google Scholar]
  • 310.Desterke C, Xiang Y, Elhage R, Duruel C, Chang Y, Hamaï A: Ferroptosis Inducers Upregulate PD-L1 in Recurrent Triple-Negative Breast Cancer. Cancers (Basel). 2023;16(1):155. [DOI] [PMC free article] [PubMed]
  • 311.Sha R, Xu Y, Yuan C, Sheng X, Wu Z, Peng J, Wang Y, Lin Y, Zhou L, Xu S, et al. Predictive and prognostic impact of ferroptosis-related genes ACSL4 and GPX4 on breast cancer treated with neoadjuvant chemotherapy. EBioMedicine. 2021;71: 103560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 312.Lee N, Carlisle AE, Peppers A, Park SJ, Doshi MB, Spears ME, Kim D: xCT-Driven Expression of GPX4 Determines Sensitivity of Breast Cancer Cells to Ferroptosis Inducers. Antioxidants (Basel). 2021;10(2):317. [DOI] [PMC free article] [PubMed]
  • 313.Yu M, Gai C, Li Z, Ding D, Zheng J, Zhang W, Lv S, Li W. Targeted exosome-encapsulated erastin induced ferroptosis in triple negative breast cancer cells. Cancer Sci. 2019;110:3173–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 314.Miyamoto K, Watanabe M, Boku S, Sukeno M, Morita M, Kondo H, Sakaguchi K, Taguchi T, Sakai T: xCT Inhibition Increases Sensitivity to Vorinostat in a ROS-Dependent Manner. Cancers (Basel). 2020;12(4):827. [DOI] [PMC free article] [PubMed]
  • 315.Lorito N, Subbiani A, Smiriglia A, Bacci M, Bonechi F, Tronci L, Romano E, Corrado A, Longo DL, Iozzo M, et al: FADS1/2 control lipid metabolism and ferroptosis susceptibility in triple-negative breast cancer. EMBO Mol Med. 2024;16(7):1533–59. [DOI] [PMC free article] [PubMed]
  • 316.Yu X, Cheng L, Liu S, Wang M, Zhang H, Wang X, Zhang H, Yang Z, Wu S. Correlation between ferroptosis and adriamycin resistance in breast cancer regulated by transferrin receptor and its molecular mechanism. Faseb j. 2024;38: e23550. [DOI] [PubMed] [Google Scholar]
  • 317.Taylor WR, Fedorka SR, Gad I, Shah R, Alqahtani HD, Koranne R, Kuganesan N, Dlamini S, Rogers T, Al-Hamashi A, et al. Small-Molecule Ferroptotic Agents with Potential to Selectively Target Cancer Stem Cells. Sci Rep. 2019;9:5926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 318.Zhao Y, Zhao W, Lim YC, Liu T. Salinomycin-Loaded Gold Nanoparticles for Treating Cancer Stem Cells by Ferroptosis-Induced Cell Death. Mol Pharm. 2019;16:2532–9. [DOI] [PubMed] [Google Scholar]
  • 319.Zhang J, Zhou K, Lin J, Yao X, Ju D, Zeng X, Pang Z, Yang W. Ferroptosis-enhanced chemotherapy for triple-negative breast cancer with magnetic composite nanoparticles. Biomaterials. 2023;303: 122395. [DOI] [PubMed] [Google Scholar]
  • 320.Xie Y, Wang B, Zhao Y, Tao Z, Wang Y, Chen G, Hu X. Mammary adipocytes protect triple-negative breast cancer cells from ferroptosis. J Hematol Oncol. 2022;15:72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 321.Wang W, Green M, Choi JE, Gijón M, Kennedy PD, Johnson JK, Liao P, Lang X, Kryczek I, Sell A, et al. CD8(+) T cells regulate tumour ferroptosis during cancer immunotherapy. Nature. 2019;569:270–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 322.Mathiowetz AJ, Olzmann JA. Lipid droplets and cellular lipid flux. Nat Cell Biol. 2024;26:331–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 323.Jovičić EJ, Janež AP, Eichmann TO, Koren Š, Brglez V, Jordan PM, Gerstmeier J, Lainšček D, Golob-Urbanc A, Jerala R, et al. Lipid droplets control mitogenic lipid mediator production in human cancer cells. Mol Metab. 2023;76: 101791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 324.Wang J, Zhang W, Liu C, Wang L, Wu J, Sun C, Wu Q. Reprogramming of Lipid Metabolism Mediates Crosstalk, Remodeling, and Intervention of Microenvironment Components in Breast Cancer. Int J Biol Sci. 2024;20:1884–904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 325.Cruz ALS, Barreto EA, Fazolini NPB, Viola JPB, Bozza PT. Lipid droplets: platforms with multiple functions in cancer hallmarks. Cell Death Dis. 2020;11:105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 326.Schlaepfer IR, Nambiar DK, Ramteke A, Kumar R, Dhar D, Agarwal C, Bergman B, Graner M, Maroni P, Singh RP, et al. Hypoxia induces triglycerides accumulation in prostate cancer cells and extracellular vesicles supporting growth and invasiveness following reoxygenation. Oncotarget. 2015;6:22836–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 327.Du W, Zhang L, Brett-Morris A, Aguila B, Kerner J, Hoppel CL, Puchowicz M, Serra D, Herrero L, Rini BI, et al. HIF drives lipid deposition and cancer in ccRCC via repression of fatty acid metabolism. Nat Commun. 2017;8:1769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 328.Hoang-Minh LB, Siebzehnrubl FA, Yang C, Suzuki-Hatano S, Dajac K, Loche T, Andrews N, Schmoll Massari M, Patel J, Amin K, et al: Infiltrative and drug-resistant slow-cycling cells support metabolic heterogeneity in glioblastoma. Embo j. 2018;37(23):e98772. [DOI] [PMC free article] [PubMed]
  • 329.Li J, Condello S, Thomes-Pepin J, Ma X, Xia Y, Hurley TD, Matei D, Cheng JX. Lipid Desaturation Is a Metabolic Marker and Therapeutic Target of Ovarian Cancer Stem Cells. Cell Stem Cell. 2017;20:303-314.e305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 330.Zhao G, Tan Y, Cardenas H, Vayngart D, Wang Y, Huang H, Keathley R, Wei JJ, Ferreira CR, Orsulic S, et al. Ovarian cancer cell fate regulation by the dynamics between saturated and unsaturated fatty acids. Proc Natl Acad Sci U S A. 2022;119: e2203480119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 331.Jarc E, Kump A, Malavašič P, Eichmann TO, Zimmermann R, Petan T. Lipid droplets induced by secreted phospholipase A(2) and unsaturated fatty acids protect breast cancer cells from nutrient and lipotoxic stress. Biochim Biophys Acta Mol Cell Biol Lipids. 2018;1863:247–65. [DOI] [PubMed] [Google Scholar]
  • 332.Blücher C, Zilberfain C, Venus T, Spindler N, Dietrich A, Burkhardt R, Stadler SC, Estrela-Lopis I. Single cell study of adipose tissue mediated lipid droplet formation and biochemical alterations in breast cancer cells. Analyst. 2019;144:5558–70. [DOI] [PubMed] [Google Scholar]
  • 333.Blücher C, Stadler SC. Obesity and Breast Cancer: Current Insights on the Role of Fatty Acids and Lipid Metabolism in Promoting Breast Cancer Growth and Progression. Front Endocrinol (Lausanne). 2017;8:293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 334.Pucer A, Brglez V, Payré C, Pungerčar J, Lambeau G, Petan T. Group X secreted phospholipase A(2) induces lipid droplet formation and prolongs breast cancer cell survival. Mol Cancer. 2013;12:111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 335.Hershey BJ, Vazzana R, Joppi DL, Havas KM: Lipid Droplets Define a Sub-Population of Breast Cancer Stem Cells. J Clin Med. 2019;9(1):87. [DOI] [PMC free article] [PubMed]
  • 336.Sirois I, Aguilar-Mahecha A, Lafleur J, Fowler E, Vu V, Scriver M, Buchanan M, Chabot C, Ramanathan A, Balachandran B, et al. A Unique Morphological Phenotype in Chemoresistant Triple-Negative Breast Cancer Reveals Metabolic Reprogramming and PLIN4 Expression as a Molecular Vulnerability. Mol Cancer Res. 2019;17:2492–507. [DOI] [PubMed] [Google Scholar]
  • 337.Hultsch S, Kankainen M, Paavolainen L, Kovanen RM, Ikonen E, Kangaspeska S, Pietiäinen V, Kallioniemi O. Association of tamoxifen resistance and lipid reprogramming in breast cancer. BMC Cancer. 2018;18:850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 338.Przybytkowski E, Joly E, Nolan CJ, Hardy S, Francoeur AM, Langelier Y, Prentki M. Upregulation of cellular triacylglycerol - free fatty acid cycling by oleate is associated with long-term serum-free survival of human breast cancer cells. Biochem Cell Biol. 2007;85:301–10. [DOI] [PubMed] [Google Scholar]
  • 339.Bensaad K, Favaro E, Lewis CA, Peck B, Lord S, Collins JM, Pinnick KE, Wigfield S, Buffa FM, Li JL, et al. Fatty acid uptake and lipid storage induced by HIF-1α contribute to cell growth and survival after hypoxia-reoxygenation. Cell Rep. 2014;9:349–65. [DOI] [PubMed] [Google Scholar]
  • 340.Nisticò C, Pagliari F, Chiarella E, Fernandes Guerreiro J, Marafioti MG, Aversa I, Genard G, Hanley R, Garcia-Calderón D, Bond HM, et al: Lipid Droplet Biosynthesis Impairment through DGAT2 Inhibition Sensitizes MCF7 Breast Cancer Cells to Radiation. Int J Mol Sci. 2021;22(18):10102. [DOI] [PMC free article] [PubMed]
  • 341.Zhou Y, Wang H, Luo Y, Tuo B, Liu X, Li T. Effect of metabolism on the immune microenvironment of breast cancer. Biochim Biophys Acta Rev Cancer. 2023;1878: 188861. [DOI] [PubMed] [Google Scholar]
  • 342.Yu W, Lei Q, Yang L, Qin G, Liu S, Wang D, Ping Y, Zhang Y. Contradictory roles of lipid metabolism in immune response within the tumor microenvironment. J Hematol Oncol. 2021;14:187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 343.Lei G, Zhuang L, Gan B. The roles of ferroptosis in cancer: Tumor suppression, tumor microenvironment, and therapeutic interventions. Cancer Cell. 2024;42:513–34. [DOI] [PubMed] [Google Scholar]
  • 344.Azam A, Sounni NE: Lipid Metabolism Heterogeneity and Crosstalk with Mitochondria Functions Drive Breast Cancer Progression and Drug Resistance. Cancers (Basel). 2022;14(24):6267. [DOI] [PMC free article] [PubMed]
  • 345.Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121:2111–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 346.Brown KA. Metabolic pathways in obesity-related breast cancer. Nat Rev Endocrinol. 2021;17:350–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 347.Hartman ZC, Poage GM, den Hollander P, Tsimelzon A, Hill J, Panupinthu N, Zhang Y, Mazumdar A, Hilsenbeck SG, Mills GB, Brown PH. Growth of triple-negative breast cancer cells relies upon coordinate autocrine expression of the proinflammatory cytokines IL-6 and IL-8. Cancer Res. 2013;73:3470–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 348.Garcia-Estevez L, Moreno-Bueno G. Updating the role of obesity and cholesterol in breast cancer. Breast Cancer Res. 2019;21:35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 349.Taroeno-Hariadi KW, Hardianti MS, Sinorita H, Aryandono T. Obesity, leptin, and deregulation of microRNA in lipid metabolisms: their contribution to breast cancer prognosis. Diabetol Metab Syndr. 2021;13:10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 350.Brindley DN, Tang X, Meng G, Benesch MGK: Role of Adipose Tissue-Derived Autotaxin, Lysophosphatidate Signaling, and Inflammation in the Progression and Treatment of Breast Cancer. Int J Mol Sci. 2020;21(16):5938. [DOI] [PMC free article] [PubMed]
  • 351.Zheng J, Hao H. The importance of cancer-associated fibroblasts in targeted therapies and drug resistance in breast cancer. Front Oncol. 2023;13:1333839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 352.Santi A, Caselli A, Ranaldi F, Paoli P, Mugnaioni C, Michelucci E, Cirri P. Cancer associated fibroblasts transfer lipids and proteins to cancer cells through cargo vesicles supporting tumor growth. Biochim Biophys Acta. 2015;1853:3211–23. [DOI] [PubMed] [Google Scholar]
  • 353.Lopes-Coelho F, André S, Félix A, Serpa J. Breast cancer metabolic cross-talk: Fibroblasts are hubs and breast cancer cells are gatherers of lipids. Mol Cell Endocrinol. 2018;462:93–106. [DOI] [PubMed] [Google Scholar]
  • 354.Santolla MF, Lappano R, De Marco P, Pupo M, Vivacqua A, Sisci D, Abonante S, Iacopetta D, Cappello AR, Dolce V, Maggiolini M. G protein-coupled estrogen receptor mediates the up-regulation of fatty acid synthase induced by 17β-estradiol in cancer cells and cancer-associated fibroblasts. J Biol Chem. 2012;287:43234–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 355.Beaujouin M, Prébois C, Derocq D, Laurent-Matha V, Masson O, Pattingre S, Coopman P, Bettache N, Grossfield J, Hollingsworth RE, et al. Pro-cathepsin D interacts with the extracellular domain of the beta chain of LRP1 and promotes LRP1-dependent fibroblast outgrowth. J Cell Sci. 2010;123:3336–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 356.Yu S, Lu Y, Su A, Chen J, Li J, Zhou B, Liu X, Xia Q, Li Y, Li J, et al. A CD10-OGP Membrane Peptolytic Signaling Axis in Fibroblasts Regulates Lipid Metabolism of Cancer Stem Cells via SCD1. Adv Sci (Weinh). 2021;8: e2101848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 357.Rybinska I, Mangano N, Tagliabue E, Triulzi T: Cancer-Associated Adipocytes in Breast Cancer: Causes and Consequences. Int J Mol Sci. 2021; 22(7):3775. [DOI] [PMC free article] [PubMed]
  • 358.Attané C, Milhas D, Hoy AJ, Muller C. Metabolic Remodeling Induced by Adipocytes: A New Achilles’ Heel in Invasive Breast Cancer? Curr Med Chem. 2020;27:3984–4001. [DOI] [PubMed] [Google Scholar]
  • 359.Zhu Q, Zhu Y, Hepler C, Zhang Q, Park J, Gliniak C, Henry GH, Crewe C, Bu D, Zhang Z, et al. Adipocyte mesenchymal transition contributes to mammary tumor progression. Cell Rep. 2022;40: 111362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 360.Balaban S, Shearer RF, Lee LS, van Geldermalsen M, Schreuder M, Shtein HC, Cairns R, Thomas KC, Fazakerley DJ, Grewal T, et al. Adipocyte lipolysis links obesity to breast cancer growth: adipocyte-derived fatty acids drive breast cancer cell proliferation and migration. Cancer Metab. 2017;5:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 361.Wang YY, Attané C, Milhas D, Dirat B, Dauvillier S, Guerard A, Gilhodes J, Lazar I, Alet N, Laurent V, et al. Mammary adipocytes stimulate breast cancer invasion through metabolic remodeling of tumor cells. JCI Insight. 2017;2: e87489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 362.Nieman KM, Kenny HA, Penicka CV, Ladanyi A, Buell-Gutbrod R, Zillhardt MR, Romero IL, Carey MS, Mills GB, Hotamisligil GS, et al. Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth. Nat Med. 2011;17:1498–503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 363.Li S, Zhou T, Li C, Dai Z, Che D, Yao Y, Li L, Ma J, Yang X, Gao G. High metastaticgastric and breast cancer cells consume oleic acid in an AMPK dependent manner. PLoS ONE. 2014;9: e97330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 364.Liu W, Zeng Y, Hao X, Wang X, Liu J, Gao T, Wang M, Zhang J, Huo M, Hu T, et al. JARID2 coordinates with the NuRD complex to facilitate breast tumorigenesis through response to adipocyte-derived leptin. Cancer Commun (Lond). 2023;43:1117–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 365.Volden PA, Skor MN, Johnson MB, Singh P, Patel FN, McClintock MK, Brady MJ, Conzen SD. Mammary Adipose Tissue-Derived Lysophospholipids Promote Estrogen Receptor-Negative Mammary Epithelial Cell Proliferation. Cancer Prev Res (Phila). 2016;9:367–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 366.Bellanger D, Dziagwa C, Guimaraes C, Pinault M, Dumas JF, Brisson L: Adipocytes Promote Breast Cancer Cell Survival and Migration through Autophagy Activation. Cancers (Basel). 2021;13(15):3917. [DOI] [PMC free article] [PubMed]
  • 367.Mentoor I, Nell T, Emjedi Z, van Jaarsveld PJ, de Jager L, Engelbrecht AM. Decreased Efficacy of Doxorubicin Corresponds With Modifications in Lipid Metabolism Markers and Fatty Acid Profiles in Breast Tumors From Obese vs. Lean Mice Front Oncol. 2020;10:306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 368.Sun S, Wang Z, Yao F, Sun K, Li Z, Sun S, Li C. Breast cancer cell-derived exosome-delivered microRNA-155 targets UBQLN1 in adipocytes and facilitates cancer cachexia-related fat loss. Hum Mol Genet. 2023;32:2219–28. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 369.Dirat B, Bochet L, Dabek M, Daviaud D, Dauvillier S, Majed B, Wang YY, Meulle A, Salles B, Le Gonidec S, et al. Cancer-associated adipocytes exhibit an activated phenotype and contribute to breast cancer invasion. Cancer Res. 2011;71:2455–65. [DOI] [PubMed] [Google Scholar]
  • 370.Bochet L, Lehuédé C, Dauvillier S, Wang YY, Dirat B, Laurent V, Dray C, Guiet R, Maridonneau-Parini I, Le Gonidec S, et al. Adipocyte-derived fibroblasts promote tumor progression and contribute to the desmoplastic reaction in breast cancer. Cancer Res. 2013;73:5657–68. [DOI] [PubMed] [Google Scholar]
  • 371.Medrek C, Pontén F, Jirström K, Leandersson K. The presence of tumor associated macrophages in tumor stroma as a prognostic marker for breast cancer patients. BMC Cancer. 2012;12:306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 372.Su P, Wang Q, Bi E, Ma X, Liu L, Yang M, Qian J, Yi Q. Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages. Cancer Res. 2020;80:1438–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 373.Yorek M, Jiang X, Liu S, Hao J, Yu J, Avellino A, Liu Z, Curry M, Keen H, Shao J, et al: FABP4-mediated lipid accumulation and lipolysis in tumor-associated macrophages promote breast cancer metastasis. Elife. 2024;13:RP101221. [DOI] [PMC free article] [PubMed]
  • 374.Timperi E, Gueguen P, Molgora M, Magagna I, Kieffer Y, Lopez-Lastra S, Sirven P, Baudrin LG, Baulande S, Nicolas A, et al. Lipid-Associated Macrophages Are Induced by Cancer-Associated Fibroblasts and Mediate Immune Suppression in Breast Cancer. Cancer Res. 2022;82:3291–306. [DOI] [PubMed] [Google Scholar]
  • 375.Frank AC, Raue R, Fuhrmann DC, Sirait-Fischer E, Reuse C, Weigert A, Lütjohann D, Hiller K, Syed SN, Brüne B. Lactate dehydrogenase B regulates macrophage metabolism in the tumor microenvironment. Theranostics. 2021;11:7570–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 376.Niu Z, Shi Q, Zhang W, Shu Y, Yang N, Chen B, Wang Q, Zhao X, Chen J, Cheng N, et al. Caspase-1 cleaves PPARγ for potentiating the pro-tumor action of TAMs. Nat Commun. 2017;8:766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 377.Augimeri G, Fiorillo M, Morelli C, Panza S, Giordano C, Barone I, Catalano S, Sisci D, Andò S, Bonofiglio D: The Omega-3 Docosahexaenoyl Ethanolamide Reduces CCL5 Secretion in Triple Negative Breast Cancer Cells Affecting Tumor Progression and Macrophage Recruitment. Cancers (Basel). 2023;15(3):819. [DOI] [PMC free article] [PubMed]
  • 378.Sun R, Lei C, Xu Z, Gu X, Huang L, Chen L, Tan Y, Peng M, Yaddanapudi K, Siskind L, et al. Neutral ceramidase regulates breast cancer progression by metabolic programming of TREM2-associated macrophages. Nat Commun. 2024;15:966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 379.Go S, Jung M, Lee S, Moon S, Hong J, Kim C, Chung Y, Kim BS. A Personalized Cancer Nanovaccine that Enhances T-Cell Responses and Efficacy Through Dual Interactions with Dendritic Cells and T Cells. Adv Mater. 2023;35: e2303979. [DOI] [PubMed] [Google Scholar]
  • 380.Herber DL, Cao W, Nefedova Y, Novitskiy SV, Nagaraj S, Tyurin VA, Corzo A, Cho HI, Celis E, Lennox B, et al. Lipid accumulation and dendritic cell dysfunction in cancer. Nat Med. 2010;16:880–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 381.Vivier E, Rebuffet L, Narni-Mancinelli E, Cornen S, Igarashi RY, Fantin VR. Natural killer cell therapies. Nature. 2024;626:727–36. [DOI] [PubMed] [Google Scholar]
  • 382.Niavarani SR, Lawson C, Bakos O, Boudaud M, Batenchuk C, Rouleau S, Tai LH. Lipid accumulation impairs natural killer cell cytotoxicity and tumor control in the postoperative period. BMC Cancer. 2019;19:823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 383.Lamas B, Nachat-Kappes R, Goncalves-Mendes N, Mishellany F, Rossary A, Vasson MP, Farges MC. Dietary fat without body weight gain increases in vivo MCF-7 human breast cancer cell growth and decreases natural killer cell cytotoxicity. Mol Carcinog. 2015;54:58–71. [DOI] [PubMed] [Google Scholar]
  • 384.Gong Z, Li Q, Shi J, Liu ET, Shultz LD, Ren G. Lipid-laden lung mesenchymal cells foster breast cancer metastasis via metabolic reprogramming of tumor cells and natural killer cells. Cell Metab. 2022;34:1960-1976.e1969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 385.Michelet X, Dyck L, Hogan A, Loftus RM, Duquette D, Wei K, Beyaz S, Tavakkoli A, Foley C, Donnelly R, et al. Metabolic reprogramming of natural killer cells in obesity limits antitumor responses. Nat Immunol. 2018;19:1330–40. [DOI] [PubMed] [Google Scholar]
  • 386.Mao Y, Sarhan D, Steven A, Seliger B, Kiessling R, Lundqvist A. Inhibition of tumor-derived prostaglandin-e2 blocks the induction of myeloid-derived suppressor cells and recovers natural killer cell activity. Clin Cancer Res. 2014;20:4096–106. [DOI] [PubMed] [Google Scholar]
  • 387.Sinha P, Clements VK, Fulton AM, Ostrand-Rosenberg S. Prostaglandin E2 promotes tumor progression by inducing myeloid-derived suppressor cells. Cancer Res. 2007;67:4507–13. [DOI] [PubMed] [Google Scholar]
  • 388.Pavlova NN, Zhu J, Thompson CB. The hallmarks of cancer metabolism: Still emerging. Cell Metab. 2022;34:355–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 389.Ma X, Bi E, Lu Y, Su P, Huang C, Liu L, Wang Q, Yang M, Kalady MF, Qian J, et al. Cholesterol Induces CD8(+) T Cell Exhaustion in the Tumor Microenvironment. Cell Metab. 2019;30:143-156.e145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 390.Sun H, Zhang L, Wang Z, Gu D, Zhu M, Cai Y, Li L, Tang J, Huang B, Bosco B, et al. Single-cell transcriptome analysis indicates fatty acid metabolism-mediated metastasis and immunosuppression in male breast cancer. Nat Commun. 2023;14:5590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 391.Zhang C, Yue C, Herrmann A, Song J, Egelston C, Wang T, Zhang Z, Li W, Lee H, Aftabizadeh M, et al. STAT3 Activation-Induced Fatty Acid Oxidation in CD8(+) T Effector Cells Is Critical for Obesity-Promoted Breast Tumor Growth. Cell Metab. 2020;31:148-161.e145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 392.Kado T, Nawaz A, Takikawa A, Usui I, Tobe K. Linkage of CD8(+) T cell exhaustion with high-fat diet-induced tumourigenesis. Sci Rep. 2019;9:12284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 393.Gao A, Liu X, Lin W, Wang J, Wang S, Si F, Huang L, Zhao Y, Sun Y, Peng G: Tumor-derived ILT4 induces T cell senescence and suppresses tumor immunity. J Immunother Cancer. 2021;9(3):e001536. [DOI] [PMC free article] [PubMed]
  • 394.Gu Y, Lin X, Dong Y, Wood G, Seidah NG, Werstuck G, Major P, Bonert M, Kapoor A, Tang D. PCSK9 facilitates melanoma pathogenesis via a network regulating tumor immunity. J Exp Clin Cancer Res. 2023;42:2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 395.Baek AE, Yu YA, He S, Wardell SE, Chang CY, Kwon S, Pillai RV, McDowell HB, Thompson JW, Dubois LG, et al. The cholesterol metabolite 27 hydroxycholesterol facilitates breast cancer metastasis through its actions on immune cells. Nat Commun. 2017;8:864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 396.Ma L, Wang L, Nelson AT, Han C, He S, Henn MA, Menon K, Chen JJ, Baek AE, Vardanyan A, et al. 27-Hydroxycholesterol acts on myeloid immune cells to induce T cell dysfunction, promoting breast cancer progression. Cancer Lett. 2020;493:266–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 397.Carpenter KJ, Valfort AC, Steinauer N, Chatterjee A, Abuirqeba S, Majidi S, Sengupta M, Di Paolo RJ, Shornick LP, Zhang J, Flaveny CA. LXR-inverse agonism stimulates immune-mediated tumor destruction by enhancing CD8 T-cell activity in triple negative breast cancer. Sci Rep. 2019;9:19530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 398.Li MY, Wang M, Dong M, Wu Z, Zhang R, Wang B, Huang Y, Zhang X, Zhou J, Yi J, et al. Targeting CD36 determines nicotine derivative NNK-induced lung adenocarcinoma carcinogenesis. iScience. 2023;26:107477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 399.Pascual G, Avgustinova A, Mejetta S, Martín M, Castellanos A, Attolini CS, Berenguer A, Prats N, Toll A, Hueto JA, et al. Targeting metastasis-initiating cells through the fatty acid receptor CD36. Nature. 2017;541:41–5. [DOI] [PubMed] [Google Scholar]
  • 400.Watt MJ, Clark AK, Selth LA, Haynes VR, Lister N, Rebello R, Porter LH, Niranjan B, Whitby ST, Lo J, et al: Suppressing fatty acid uptake has therapeutic effects in preclinical models of prostate cancer. Sci Transl Med. 2019;11(478):eaau5758. [DOI] [PubMed]
  • 401.Glatz JFC, Heather LC, Luiken J. CD36 as a gatekeeper of myocardial lipid metabolism and therapeutic target for metabolic disease. Physiol Rev. 2024;104:727–64. [DOI] [PubMed] [Google Scholar]
  • 402.Yang L, Sun J, Li M, Long Y, Zhang D, Guo H, Huang R, Yan J. Oxidized Low-Density Lipoprotein Links Hypercholesterolemia and Bladder Cancer Aggressiveness by Promoting Cancer Stemness. Cancer Res. 2021;81:5720–32. [DOI] [PubMed] [Google Scholar]
  • 403.Sp N, Kang DY, Kim DH, Park JH, Lee HG, Kim HJ, Darvin P, Park YM, Yang YM: Nobiletin Inhibits CD36-Dependent Tumor Angiogenesis, Migration, Invasion, and Sphere Formation Through the Cd36/Stat3/Nf-Κb Signaling Axis. Nutrients. 2018;10(6):772. [DOI] [PMC free article] [PubMed]
  • 404.Xu S, Chaudhary O, Rodríguez-Morales P, Sun X, Chen D, Zappasodi R, Xu Z, Pinto AFM, Williams A, Schulze I, et al. Uptake of oxidized lipids by the scavenger receptor CD36 promotes lipid peroxidation and dysfunction in CD8(+) T cells in tumors. Immunity. 2021;54:1561-1577.e1567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 405.Mukherjee A, Chiang CY, Daifotis HA, Nieman KM, Fahrmann JF, Lastra RR, Romero IL, Fiehn O, Lengyel E. Adipocyte-Induced FABP4 Expression in Ovarian Cancer Cells Promotes Metastasis and Mediates Carboplatin Resistance. Cancer Res. 2020;80:1748–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 406.Tian W, Zhang W, Zhang Y, Zhu T, Hua Y, Li H, Zhang Q, Xia M. FABP4 promotes invasion and metastasis of colon cancer by regulating fatty acid transport. Cancer Cell Int. 2020;20:512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 407.Al-Jameel W, Gou X, Forootan SS, Al Fayi MS, Rudland PS, Forootan FS, Zhang J, Cornford PA, Hussain SA, Ke Y. Inhibitor SBFI26 suppresses the malignant progression of castration-resistant PC3-M cells by competitively binding to oncogenic FABP5. Oncotarget. 2017;8:31041–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 408.Chen NN, Ma XD, Miao Z, Zhang XM, Han BY, Almaamari AA, Huang JM, Chen XY, Liu YJ, Su SW. Doxorubicin resistance in breast cancer is mediated via the activation of FABP5/PPARγ and CaMKII signaling pathway. Front Pharmacol. 2023;14:1150861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 409.He G, Zhang Y, Feng Y, Chen T, Liu M, Zeng Y, Yin X, Qu S, Huang L, Ke Y, et al. SBFI26 induces triple-negative breast cancer cells ferroptosis via lipid peroxidation. J Cell Mol Med. 2024;28: e18212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 410.Alo PL, Visca P, Marci A, Mangoni A, Botti C, Di Tondo U. Expression of fatty acid synthase (FAS) as a predictor of recurrence in stage I breast carcinoma patients. Cancer. 1996;77:474–82. [DOI] [PubMed] [Google Scholar]
  • 411.Pizer ES, Thupari J, Han WF, Pinn ML, Chrest FJ, Frehywot GL, Townsend CA, Kuhajda FP. Malonyl-coenzyme-A is a potential mediator of cytotoxicity induced by fatty-acid synthase inhibition in human breast cancer cells and xenografts. Cancer Res. 2000;60:213–8. [PubMed] [Google Scholar]
  • 412.Pizer ES, Jackisch C, Wood FD, Pasternack GR, Davidson NE, Kuhajda FP. Inhibition of fatty acid synthesis induces programmed cell death in human breast cancer cells. Cancer Res. 1996;56:2745–7. [PubMed] [Google Scholar]
  • 413.Li J, Dong L, Wei D, Wang X, Zhang S, Li H. Fatty acid synthase mediates the epithelial-mesenchymal transition of breast cancer cells. Int J Biol Sci. 2014;10:171–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 414.Menendez JA, Vellon L, Colomer R, Lupu R. Pharmacological and small interference RNA-mediated inhibition of breast cancer-associated fatty acid synthase (oncogenic antigen-519) synergistically enhances Taxol (paclitaxel)-induced cytotoxicity. Int J Cancer. 2005;115:19–35. [DOI] [PubMed] [Google Scholar]
  • 415.Schroeder B, Vander Steen T, Espinoza I, Venkatapoorna CMK, Hu Z, Silva FM, Regan K, Cuyàs E, Meng XW, Verdura S, et al. Fatty acid synthase (FASN) regulates the mitochondrial priming of cancer cells. Cell Death Dis. 2021;12:977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 416.Falchook G, Infante J, Arkenau HT, Patel MR, Dean E, Borazanci E, Brenner A, Cook N, Lopez J, Pant S, et al. First-in-human study of the safety, pharmacokinetics, and pharmacodynamics of first-in-class fatty acid synthase inhibitor TVB-2640 alone and with a taxane in advanced tumors. EClinicalMedicine. 2021;34: 100797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 417.Ventura R, Mordec K, Waszczuk J, Wang Z, Lai J, Fridlib M, Buckley D, Kemble G, Heuer TS. Inhibition of de novo Palmitate Synthesis by Fatty Acid Synthase Induces Apoptosis in Tumor Cells by Remodeling Cell Membranes, Inhibiting Signaling Pathways, and Reprogramming Gene Expression. EBioMedicine. 2015;2:808–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 418.Richardson RD, Smith JW. Novel antagonists of the thioesterase domain of human fatty acid synthase. Mol Cancer Ther. 2007;6:2120–6. [DOI] [PubMed] [Google Scholar]
  • 419.Puig T, Aguilar H, Cufí S, Oliveras G, Turrado C, Ortega-Gutiérrez S, Benhamú B, López-Rodríguez ML, Urruticoechea A, Colomer R. A novel inhibitor of fatty acid synthase shows activity against HER2+ breast cancer xenografts and is active in anti-HER2 drug-resistant cell lines. Breast Cancer Res. 2011;13:R131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 420.Rysman E, Brusselmans K, Scheys K, Timmermans L, Derua R, Munck S, Van Veldhoven PP, Waltregny D, Daniëls VW, Machiels J, et al. De novo lipogenesis protects cancer cells from free radicals and chemotherapeutics by promoting membrane lipid saturation. Cancer Res. 2010;70:8117–26. [DOI] [PubMed] [Google Scholar]
  • 421.Liu H, Liu Y, Zhang JT. A new mechanism of drug resistance in breast cancer cells: fatty acid synthase overexpression-mediated palmitate overproduction. Mol Cancer Ther. 2008;7:263–70. [DOI] [PubMed] [Google Scholar]
  • 422.Zaidi N, Royaux I, Swinnen JV, Smans K. ATP citrate lyase knockdown induces growth arrest and apoptosis through different cell- and environment-dependent mechanisms. Mol Cancer Ther. 2012;11:1925–35. [DOI] [PubMed] [Google Scholar]
  • 423.Sullivan AC, Singh M, Srere PA, Glusker JP. Reactivity and inhibitor potential of hydroxycitrate isomers with citrate synthase, citrate lyase, and ATP citrate lyase. J Biol Chem. 1977;252:7583–90. [PubMed] [Google Scholar]
  • 424.Hoffmann GE, Andres H, Weiss L, Kreisel C, Sander R. Properties and organ distribution of ATP citrate (pro-3S)-lyase. Biochim Biophys Acta. 1980;620:151–8. [DOI] [PubMed] [Google Scholar]
  • 425.Ismail A, Mokhlis HA, Sharaky M, Sobhy MH, Hassanein SS, Doghish AS, Salama SA, Mariee AD, Attia YM. Hydroxycitric acid reverses tamoxifen resistance through inhibition of ATP citrate lyase. Pathol Res Pract. 2022;240: 154211. [DOI] [PubMed] [Google Scholar]
  • 426.Ray KK, Bays HE, Catapano AL, Lalwani ND, Bloedon LT, Sterling LR, Robinson PL, Ballantyne CM. Safety and Efficacy of Bempedoic Acid to Reduce LDL Cholesterol. N Engl J Med. 2019;380:1022–32. [DOI] [PubMed] [Google Scholar]
  • 427.Morrow MR, Batchuluun B, Wu J, Ahmadi E, Leroux JM, Mohammadi-Shemirani P, Desjardins EM, Wang Z, Tsakiridis EE, Lavoie DCT, et al. Inhibition of ATP-citrate lyase improves NASH, liver fibrosis, and dyslipidemia. Cell Metab. 2022;34:919-936.e918. [DOI] [PubMed] [Google Scholar]
  • 428.Gao Y, Islam MS, Tian J, Lui VW, Xiao D. Inactivation of ATP citrate lyase by Cucurbitacin B: A bioactive compound from cucumber, inhibits prostate cancer growth. Cancer Lett. 2014;349:15–25. [DOI] [PubMed] [Google Scholar]
  • 429.Gao Y, Zeng Y, Tian J, Islam MS, Jiang G, Xiao D: Guggulsterone inhibits prostate cancer growth via inactivation of Akt regulated by ATP citrate lyase signaling. Oncotarget.2014;6(30):30420. [DOI] [PMC free article] [PubMed]
  • 430.Jones SF, Infante JR. Molecular Pathways: Fatty Acid Synthase. Clin Cancer Res. 2015;21:5434–8. [DOI] [PubMed] [Google Scholar]
  • 431.Menendez JA, Lupu R. Fatty acid synthase (FASN) as a therapeutic target in breast cancer. Expert Opin Ther Targets. 2017;21:1001–16. [DOI] [PubMed] [Google Scholar]
  • 432.Chu Q, An J, Liu P, Song Y, Zhai X, Yang R, Niu J, Yang C, Li B: Repurposing a tricyclic antidepressant in tumor and metabolism disease treatment through fatty acid uptake inhibition. J Exp Med. 2023;220(3):e20221316. [DOI] [PMC free article] [PubMed]
  • 433.Svensson RU, Parker SJ, Eichner LJ, Kolar MJ, Wallace M, Brun SN, Lombardo PS, Van Nostrand JL, Hutchins A, Vera L, et al. Inhibition of acetyl-CoA carboxylase suppresses fatty acid synthesis and tumor growth of non-small-cell lung cancer in preclinical models. Nat Med. 2016;22:1108–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 434.Goedeke L, Bates J, Vatner DF, Perry RJ, Wang T, Ramirez R, Li L, Ellis MW, Zhang D, Wong KE, et al. Acetyl-CoA Carboxylase Inhibition Reverses NAFLD and Hepatic Insulin Resistance but Promotes Hypertriglyceridemia in Rodents. Hepatology. 2018;68:2197–211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 435.Thupari JN, Pinn ML, Kuhajda FP. Fatty acid synthase inhibition in human breast cancer cells leads to malonyl-CoA-induced inhibition of fatty acid oxidation and cytotoxicity. Biochem Biophys Res Commun. 2001;285:217–23. [DOI] [PubMed] [Google Scholar]
  • 436.Zhou W, Simpson PJ, McFadden JM, Townsend CA, Medghalchi SM, Vadlamudi A, Pinn ML, Ronnett GV, Kuhajda FP. Fatty acid synthase inhibition triggers apoptosis during S phase in human cancer cells. Cancer Res. 2003;63:7330–7. [PubMed] [Google Scholar]
  • 437.Li K, Chen L, Lin Z, Zhu J, Fang Y, Du J, Shen B, Wu K, Liu Y. Role of the AMPK/ACC Signaling Pathway in TRPP2-Mediated Head and Neck Cancer Cell Proliferation. Biomed Res Int. 2020;2020:4375075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 438.Jones DT, Valli A, Haider S, Zhang Q, Smethurst EA, Schug ZT, Peck B, Aboagye EO, Critchlow SE, Schulze A, et al. 3D Growth of Cancer Cells Elicits Sensitivity to Kinase Inhibitors but Not Lipid Metabolism Modifiers. Mol Cancer Ther. 2019;18:376–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 439.Catlin NR, Bowman CJ, Campion SN, Davenport SD, Esler WP, Kumpf SW, Lewis EM, Nowland WS, Ross TT, Stedman DS, et al. Inhibition of Acetyl-CoA Carboxylase Causes Malformations in Rats and Rabbits: Comparison of Mammalian Findings and Alternative Assays. Toxicol Sci. 2021;179:183–94. [DOI] [PubMed] [Google Scholar]
  • 440.Yang C, Jin YY, Mei J, Hu D, Jiao X, Che HL, Tang CL, Zhang Y, Wu GS. Identification of icaritin derivative IC2 as an SCD-1 inhibitor with anti-breast cancer properties through induction of cell apoptosis. Cancer Cell Int. 2022;22:202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 441.Guo Y, Zhang X, Meng J, Wang ZY. An anticancer agent icaritin induces sustained activation of the extracellular signal-regulated kinase (ERK) pathway and inhibits growth of breast cancer cells. Eur J Pharmacol. 2011;658:114–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 442.Eyme KM, Sammarco A, Jha R, Mnatsakanyan H, Pechdimaljian C, Carvalho L, Neustadt R, Moses C, Alnasser A, Tardiff DF, et al. Targeting de novo lipid synthesis induces lipotoxicity and impairs DNA damage repair in glioblastoma mouse models. Sci Transl Med. 2023;15:eabq6288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 443.Peng F, Lu J, Su K, Liu X, Luo H, He B, Wang C, Zhang X, An F, Lv D, et al. Oncogenic fatty acid oxidation senses circadian disruption in sleep-deficiency-enhanced tumorigenesis. Cell Metab. 2024;36:1598-1618.e1511. [DOI] [PubMed] [Google Scholar]
  • 444.Schlaepfer IR, Joshi M: CPT1A-mediated Fat Oxidation, Mechanisms, and Therapeutic Potential. Endocrinology. 2020;161(2):bqz046. [DOI] [PubMed]
  • 445.Madonna MC, Duer JE, McKinney BJ, Sunassee ED, Crouch BT, Ilkayeva O, Hirschey MD, Alvarez JV, Ramanujam N. In vivo metabolic imaging identifies lipid vulnerability in a preclinical model of Her2+/Neu breast cancer residual disease and recurrence. NPJ Breast Cancer. 2022;8:111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 446.Reis LMD, Adamoski D, Ornitz Oliveira Souza R, Rodrigues Ascenção CF, Sousa de Oliveira KR, Corrêa-da-Silva F, Malta de Sá Patroni F, Meira Dias M, Consonni SR, Mendes de Moraes-Vieira PM, et al: Dual inhibition of glutaminase and carnitine palmitoyltransferase decreases growth and migration of glutaminase inhibition-resistant triple-negative breast cancer cells. J Biol Chem 2019, 294:9342–9357. [DOI] [PMC free article] [PubMed]
  • 447.Holubarsch CJ, Rohrbach M, Karrasch M, Boehm E, Polonski L, Ponikowski P, Rhein S. A double-blind randomized multicentre clinical trial to evaluate the efficacy and safety of two doses of etomoxir in comparison with placebo in patients with moderate congestive heart failure: the ERGO (etomoxir for the recovery of glucose oxidation) study. Clin Sci (Lond). 2007;113:205–12. [DOI] [PubMed] [Google Scholar]
  • 448.Liberts EA, Willoughby SR, Kennedy JA, Horowitz JD. Effects of perhexiline and nitroglycerin on vascular, neutrophil and platelet function in patients with stable angina pectoris. Eur J Pharmacol. 2007;560:49–55. [DOI] [PubMed] [Google Scholar]
  • 449.Reyes-Castellanos G, Abdel Hadi N, Gallardo-Arriaga S, Masoud R, Garcia J, Lac S, El Kaoutari A, Gicquel T, Planque M, Fendt SM, et al: Combining the antianginal drug perhexiline with chemotherapy induces complete pancreatic cancer regression in vivo. iScience 2023, 26:106899. [DOI] [PMC free article] [PubMed]
  • 450.Lord SR, Collins JM, Cheng WC, Haider S, Wigfield S, Gaude E, Fielding BA, Pinnick KE, Harjes U, Segaran A, et al. Transcriptomic analysis of human primary breast cancer identifies fatty acid oxidation as a target for metformin. Br J Cancer. 2020;122:258–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 451.Hampsch RA, Wells JD, Traphagen NA, McCleery CF, Fields JL, Shee K, Dillon LM, Pooler DB, Lewis LD, Demidenko E, et al. AMPK Activation by Metformin Promotes Survival of Dormant ER(+) Breast Cancer Cells. Clin Cancer Res. 2020;26:3707–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 452.Cook KL, Soto-Pantoja DR, Clarke PA, Cruz MI, Zwart A, Wärri A, Hilakivi-Clarke L, Roberts DD, Clarke R. Endoplasmic Reticulum Stress Protein GRP78 Modulates Lipid Metabolism to Control Drug Sensitivity and Antitumor Immunity in Breast Cancer. Cancer Res. 2016;76:5657–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 453.Yan X, Zhang G, Bie F, Lv Y, Ma Y, Ma M, Wang Y, Hao X, Yuan N, Jiang X. Eugenol inhibits oxidative phosphorylation and fatty acid oxidation via downregulation of c-Myc/PGC-1β/ERRα signaling pathway in MCF10A-ras cells. Sci Rep. 2017;7:12920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 454.Fiorillo M, Peiris-Pagès M, Sanchez-Alvarez R, Bartella L, Di Donna L, Dolce V, Sindona G, Sotgia F, Cappello AR, Lisanti MP. Bergamot natural products eradicate cancer stem cells (CSCs) by targeting mevalonate, Rho-GDI-signalling and mitochondrial metabolism. Biochim Biophys Acta Bioenerg. 2018;1859:984–96. [DOI] [PubMed] [Google Scholar]
  • 455.Chen F, Kang R, Tang D, Liu J. Ferroptosis: principles and significance in health and disease. J Hematol Oncol. 2024;17:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 456.Nakamura T, Conrad M: Exploiting ferroptosis vulnerabilities in cancer. Nat Cell Biol. 2024;26(9):1407–19. [DOI] [PubMed]
  • 457.Chipurupalli S, Jiang P, Liu X, Santos JL, Marcato P, Rosen KV. Three-dimensional growth sensitizes breast cancer cells to treatment with ferroptosis-promoting drugs. Cell Death Dis. 2023;14:580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 458.Doll S, Proneth B, Tyurina YY, Panzilius E, Kobayashi S, Ingold I, Irmler M, Beckers J, Aichler M, Walch A, et al. ACSL4 dictates ferroptosis sensitivity by shaping cellular lipid composition. Nat Chem Biol. 2017;13:91–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 459.Xiong H, Wang C, Wang Z, Jiang Z, Zhou J, Yao J. Intracellular cascade activated nanosystem for improving ER+ breast cancer therapy through attacking GSH-mediated metabolic vulnerability. J Control Release. 2019;309:145–57. [DOI] [PubMed] [Google Scholar]
  • 460.Tutt ANJ, Garber JE, Kaufman B, Viale G, Fumagalli D, Rastogi P, Gelber RD, de Azambuja E, Fielding A, Balmaña J, et al. Adjuvant Olaparib for Patients with BRCA1- or BRCA2-Mutated Breast Cancer. N Engl J Med. 2021;384:2394–405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 461.Lei G, Mao C, Horbath AD, Yan Y, Cai S, Yao J, Jiang Y, Sun M, Liu X, Cheng J, et al: BRCA1-mediated dual regulation of ferroptosis exposes a vulnerability to GPX4 and PARP co-inhibition in BRCA1-deficient cancers. Cancer Discov. 2024;14(8):1476–95. [DOI] [PMC free article] [PubMed]
  • 462.Ma S, Henson ES, Chen Y, Gibson SB. Ferroptosis is induced following siramesine and lapatinib treatment of breast cancer cells. Cell Death Dis. 2016;7(7):e2307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 463.Zhu X, Fu Z, Dutchak K, Arabzadeh A, Milette S, Steinberger J, Morin G, Monast A, Pilon V, Kong T, et al. Cotargeting CDK4/6 and BRD4 Promotes Senescence and Ferroptosis Sensitivity in Cancer. Cancer Res. 2024;84:1333–51. [DOI] [PubMed] [Google Scholar]
  • 464.Herrera-Abreu MT, Guan J, Khalid U, Ning J, Costa MR, Chan J, Li Q, Fortin JP, Wong WR, Perampalam P, et al. Inhibition of GPX4 enhances CDK4/6 inhibitor and endocrine therapy activity in breast cancer. Nat Commun. 2024;15:9550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 465.Huang C, Guo Y, Li T, Sun G, Yang J, Wang Y, Xiang Y, Wang L, Jin M, Li J, et al. Pharmacological activation of GPX4 ameliorates doxorubicin-induced cardiomyopathy. Redox Biol. 2024;70: 103024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 466.Sun L, Wang H, Yu S, Zhang L, Jiang J, Zhou Q: Herceptin induces ferroptosis and mitochondrial dysfunction in H9c2 cells. Int J Mol Med. 2022;49(2):17. [DOI] [PMC free article] [PubMed]
  • 467.Liang D, Feng Y, Zandkarimi F, Wang H, Zhang Z, Kim J, Cai Y, Gu W, Stockwell BR, Jiang X. Ferroptosis surveillance independent of GPX4 and differentially regulated by sex hormones. Cell. 2023;186:2748-2764.e2722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 468.Xie J, Huang H, Wei X, Tan P, Ouyang L, Wang L, Liu D, Wang F, Wang Z, Tu P, et al. Boswellia carterii n-hexane extract suppresses breast cancer growth via induction of ferroptosis by downregulated GPX4 and upregulated transferrin. Sci Rep. 2024;14:14307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 469.Niu X, Ding X, Tong Q, Huang X, Ma X, Li Z, Wang Q, Wang Y. Myricetin inhibits 4 T1 breast tumor growth in mice via induction of Nrf-2/GPX4 pathway-mediated Ferroptosis. Toxicol Appl Pharmacol. 2024;488: 116990. [DOI] [PubMed] [Google Scholar]
  • 470.Ye S, Hu X, Sun S, Su B, Cai J, Jiang J. Oridonin promotes RSL3-induced ferroptosis in breast cancer cells by regulating the oxidative stress signaling pathway JNK/Nrf2/HO-1. Eur J Pharmacol. 2024;974: 176620. [DOI] [PubMed] [Google Scholar]
  • 471.Gong G, Ganesan K, Liu Y, Huang Y, Luo Y, Wang X, Zhang Z, Zheng Y. Danggui Buxue Tang improves therapeutic efficacy of doxorubicin in triple negative breast cancer via ferroptosis. J Ethnopharmacol. 2024;323: 117655. [DOI] [PubMed] [Google Scholar]
  • 472.Peng P, Ren Y, Wan F, Tan M, Wu H, Shen J, Qian C, Liu X, Xiang Y, Yu Q, et al. Sculponeatin A promotes the ETS1-SYVN1 interaction to induce SLC7A11/xCT-dependent ferroptosis in breast cancer. Phytomedicine. 2023;117: 154921. [DOI] [PubMed] [Google Scholar]
  • 473.Alla VM, Agrawal V, DeNazareth A, Mohiuddin S, Ravilla S, Rendell M. A reappraisal of the risks and benefits of treating to target with cholesterol lowering drugs. Drugs. 2013;73:1025–54. [DOI] [PubMed] [Google Scholar]
  • 474.Van Wyhe RD, Rahal OM, Woodward WA. Effect of statins on breast cancer recurrence and mortality: a review. Breast Cancer (Dove Med Press). 2017;9:559–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 475.Ahern TP, Pedersen L, Tarp M, Cronin-Fenton DP, Garne JP, Silliman RA, Sørensen HT, Lash TL. Statin prescriptions and breast cancer recurrence risk: a Danish nationwide prospective cohort study. J Natl Cancer Inst. 2011;103:1461–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 476.Sirtori CR. The pharmacology of statins. Pharmacol Res. 2014;88:3–11. [DOI] [PubMed] [Google Scholar]
  • 477.Boudreau DM, Yu O, Chubak J, Wirtz HS, Bowles EJ, Fujii M, Buist DS. Comparative safety of cardiovascular medication use and breast cancer outcomes among women with early stage breast cancer. Breast Cancer Res Treat. 2014;144:405–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 478.Ghosh-Choudhury N, Mandal CC, Ghosh-Choudhury N, Ghosh Choudhury G. Simvastatin induces derepression of PTEN expression via NFkappaB to inhibit breast cancer cell growth. Cell Signal. 2010;22:749–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 479.Klawitter J, Shokati T, Moll V, Christians U, Klawitter J. Effects of lovastatin on breast cancer cells: a proteo-metabonomic study. Breast Cancer Res. 2010;12:R16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 480.Zhang J, Li Q, Wu Y, Wang D, Xu L, Zhang Y, Wang S, Wang T, Liu F, Zaky MY, et al. Cholesterol content in cell membrane maintains surface levels of ErbB2 and confers a therapeutic vulnerability in ErbB2-positive breast cancer. Cell Commun Signal. 2019;17:15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 481.Gallego-Colon E, Daum A, Yosefy C. Statins and PCSK9 inhibitors: A new lipid-lowering therapy. Eur J Pharmacol. 2020;878: 173114. [DOI] [PubMed] [Google Scholar]
  • 482.Mayne J, Dewpura T, Raymond A, Cousins M, Chaplin A, Lahey KA, Lahaye SA, Mbikay M, Ooi TC, Chrétien M. Plasma PCSK9 levels are significantly modified by statins and fibrates in humans. Lipids Health Dis. 2008;7:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 483.Brown MS, Goldstein JL. The SREBP pathway: regulation of cholesterol metabolism by proteolysis of a membrane-bound transcription factor. Cell. 1997;89:331–40. [DOI] [PubMed] [Google Scholar]
  • 484.Pandyra A, Mullen PJ, Kalkat M, Yu R, Pong JT, Li Z, Trudel S, Lang KS, Minden MD, Schimmer AD, Penn LZ. Immediate utility of two approved agents to target both the metabolic mevalonate pathway and its restorative feedback loop. Cancer Res. 2014;74:4772–82. [DOI] [PubMed] [Google Scholar]
  • 485.Su N, Zhen W, Zhang H, Xu L, Jin Y, Chen X, Zhao C, Wang Q, Wang X, Li S, et al. Structural mechanisms of TRPV2 modulation by endogenous and exogenous ligands. Nat Chem Biol. 2023;19:72–80. [DOI] [PubMed] [Google Scholar]
  • 486.Li YC, Park MJ, Ye SK, Kim CW, Kim YN: Elevated levels of cholesterol-rich lipid rafts in cancer cells are correlated with apoptosis sensitivity induced by cholesterol-depleting agents. Am J Pathol 2006, 168:1107–1118; quiz 1404–1105. [DOI] [PMC free article] [PubMed]
  • 487.Mohammad N, Malvi P, Meena AS, Singh SV, Chaube B, Vannuruswamy G, Kulkarni MJ, Bhat MK. Cholesterol depletion by methyl-β-cyclodextrin augments tamoxifen induced cell death by enhancing its uptake in melanoma. Mol Cancer. 2014;13:204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 488.Tiwary R, Yu W, deGraffenried LA, Sanders BG, Kline K. Targeting cholesterol-rich microdomains to circumvent tamoxifen-resistant breast cancer. Breast Cancer Res. 2011;13:R120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 489.Nishimoto K, Okahashi N, Maruyama M, Izumi Y, Nakatani K, Ito Y, Iida J, Bamba T, Matsuda F. Lipidome and metabolome analyses reveal metabolic alterations associated with MCF-7 apoptosis upon 4-hydroxytamoxifen treatment. Sci Rep. 2023;13:18549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 490.Zhao Q, Lin X, Wang G. Targeting SREBP-1-Mediated Lipogenesis as Potential Strategies for Cancer. Front Oncol. 2022;12: 952371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 491.Horton JD, Goldstein JL, Brown MS. SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. J Clin Invest. 2002;109:1125–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 492.Ricoult SJ, Yecies JL, Ben-Sahra I, Manning BD. Oncogenic PI3K and K-Ras stimulate de novo lipid synthesis through mTORC1 and SREBP. Oncogene. 2016;35:1250–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 493.Tang JJ, Li JG, Qi W, Qiu WW, Li PS, Li BL, Song BL. Inhibition of SREBP by a small molecule, betulin, improves hyperlipidemia and insulin resistance and reduces atherosclerotic plaques. Cell Metab. 2011;13:44–56. [DOI] [PubMed] [Google Scholar]
  • 494.Yin F, Feng F, Wang L, Wang X, Li Z, Cao Y. SREBP-1 inhibitor Betulin enhances the antitumor effect of Sorafenib on hepatocellular carcinoma via restricting cellular glycolytic activity. Cell Death Dis. 2019;10:672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 495.Brovkovych V, Izhar Y, Danes JM, Dubrovskyi O, Sakallioglu IT, Morrow LM, Atilla-Gokcumen GE, Frasor J. Fatostatin induces pro- and anti-apoptotic lipid accumulation in breast cancer. Oncogenesis. 2018;7:66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 496.Liu Y, Zhang N, Zhang H, Wang L, Duan Y, Wang X, Chen T, Liang Y, Li Y, Song X, et al. Fatostatin in Combination with Tamoxifen Induces Synergistic Inhibition in ER-Positive Breast Cancer. Drug Des Devel Ther. 2020;14:3535–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 497.Li M, Lu Q, Zhu Y, Fan X, Zhao W, Zhang L, Jiang Z, Yu Q. Fatostatin inhibits SREBP2-mediated cholesterol uptake via LDLR against selective estrogen receptor α modulator-induced hepatic lipid accumulation. Chem Biol Interact. 2022;365: 110091. [DOI] [PubMed] [Google Scholar]
  • 498.Bilotta MT, Petillo S, Santoni A, Cippitelli M. Liver X Receptors: Regulators of Cholesterol Metabolism, Inflammation, Autoimmunity, and Cancer. Front Immunol. 2020;11: 584303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 499.Premaratne A, Basu S, Bagchi A, Zhou T, Feng Q, Lin CY: Liver X Receptor Ligand GAC0001E5 Downregulates Antioxidant Capacity and ERBB2/HER2 Expression in HER2-Positive Breast Cancer Cells. Cancers (Basel). 2024;16(9):1651. [DOI] [PMC free article] [PubMed]
  • 500.Premaratne A, Ho C, Basu S, Khan AF, Bawa-Khalfe T, Lin CY: Liver X Receptor Inverse Agonist GAC0001E5 Impedes Glutaminolysis and Disrupts Redox Homeostasis in Breast Cancer Cells. Biomolecules. 2023;13(2):345. [DOI] [PMC free article] [PubMed]
  • 501.Wang Q, Sun L, Yang X, Ma X, Li Q, Chen Y, Liu Y, Zhang D, Li X, Xiang R, et al. Activation of liver X receptor inhibits the development of pulmonary carcinomas induced by 3-methylcholanthrene and butylated hydroxytoluene in BALB/c mice. Sci Rep. 2016;6:27295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 502.Munir MT, Ponce C, Santos JM, Sufian HB, Al-Harrasi A, Gollahon LS, Hussain F, Rahman SM. VD(3) and LXR agonist (T0901317) combination demonstrated greater potency in inhibiting cholesterol accumulation and inducing apoptosis via ABCA1-CHOP-BCL-2 cascade in MCF-7 breast cancer cells. Mol Biol Rep. 2020;47:7771–82. [DOI] [PubMed] [Google Scholar]
  • 503.Issemann I, Green S. Activation of a member of the steroid hormone receptor superfamily by peroxisome proliferators. Nature. 1990;347:645–50. [DOI] [PubMed] [Google Scholar]
  • 504.Sabaa M. HM EL, Elshazly S, Youns M, Barakat W: Anticancer activity of salicin and fenofibrate. Naunyn Schmiedebergs Arch Pharmacol. 2017;390:1061–71. [DOI] [PubMed] [Google Scholar]
  • 505.Li T, Zhang Q, Zhang J, Yang G, Shao Z, Luo J, Fan M, Ni C, Wu Z, Hu X. Fenofibrate induces apoptosis of triple-negative breast cancer cells via activation of NF-κB pathway. BMC Cancer. 2014;14:96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 506.Castelli V, Catanesi M, Alfonsetti M, Laezza C, Lombardi F, Cinque B, Cifone MG, Ippoliti R, Benedetti E, Cimini A, d'Angelo M: PPARα-Selective Antagonist GW6471 Inhibits Cell Growth in Breast Cancer Stem Cells Inducing Energy Imbalance and Metabolic Stress. Biomedicines. 2021;9(2):127. [DOI] [PMC free article] [PubMed]
  • 507.Rizos CV, Kei A, Elisaf MS. The current role of thiazolidinediones in diabetes management. Arch Toxicol. 2016;90:1861–81. [DOI] [PubMed] [Google Scholar]
  • 508.Yee LD, Williams N, Wen P, Young DC, Lester J, Johnson MV, Farrar WB, Walker MJ, Povoski SP, Suster S, Eng C. Pilot study of rosiglitazone therapy in women with breast cancer: effects of short-term therapy on tumor tissue and serum markers. Clin Cancer Res. 2007;13:246–52. [DOI] [PubMed] [Google Scholar]
  • 509.Arif IS, Hooper CL, Greco F, Williams AC, Boateng SY. Increasing doxorubicin activity against breast cancer cells using PPARγ-ligands and by exploiting circadian rhythms. Br J Pharmacol. 2013;169:1178–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 510.Tikoo K, Kumar P, Gupta J. Rosiglitazone synergizes anticancer activity of cisplatin and reduces its nephrotoxicity in 7, 12-dimethyl benz{a}anthracene (DMBA) induced breast cancer rats. BMC Cancer. 2009;9:107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 511.Alqahtani QH, Alkharashi LA, Alajami H, Alkharashi I, Alkharashi L, Alhinti SN. Pioglitazone enhances cisplatin’s impact on triple-negative breast cancer: Role of PPARγ in cell apoptosis. Saudi Pharm J. 2024;32: 102059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 512.Kole L, Sarkar M, Deb A, Giri B. Pioglitazone, an anti-diabetic drug requires sustained MAPK activation for its anti-tumor activity in MCF7 breast cancer cells, independent of PPAR-γ pathway. Pharmacol Rep. 2016;68:144–54. [DOI] [PubMed] [Google Scholar]
  • 513.Ham SA, Kim E, Yoo T, Lee WJ, Youn JH, Choi MJ, Han SG, Lee CH, Paek KS, Hwang JS, Seo HG. Ligand-activated interaction of PPARδ with c-Myc governs the tumorigenicity of breast cancer. Int J Cancer. 2018;143:2985–96. [DOI] [PubMed] [Google Scholar]
  • 514.Girroir EE, Hollingshead HE, Billin AN, Willson TM, Robertson GP, Sharma AK, Amin S, Gonzalez FJ, Peters JM. Peroxisome proliferator-activated receptor-beta/delta (PPARbeta/delta) ligands inhibit growth of UACC903 and MCF7 human cancer cell lines. Toxicology. 2008;243:236–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 515.Kundu M, Butti R, Panda VK, Malhotra D, Das S, Mitra T, Kapse P, Gosavi SW, Kundu GC. Modulation of the tumor microenvironment and mechanism of immunotherapy-based drug resistance in breast cancer. Mol Cancer. 2024;23:92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 516.Harris MA, Savas P, Virassamy B, O’Malley MMR, Kay J, Mueller SN, Mackay LK, Salgado R, Loi S. Towards targeting the breast cancer immune microenvironment. Nat Rev Cancer. 2024;24:554–77. [DOI] [PubMed] [Google Scholar]
  • 517.Chang CH, Qiu J, O’Sullivan D, Buck MD, Noguchi T, Curtis JD, Chen Q, Gindin M, Gubin MM, van der Windt GJ, et al. Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression. Cell. 2015;162:1229–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 518.Lim SA, Wei J, Nguyen TM, Shi H, Su W, Palacios G, Dhungana Y, Chapman NM, Long L, Saravia J, et al. Lipid signalling enforces functional specialization of T(reg) cells in tumours. Nature. 2021;591:306–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 519.Bell CR, Pelly VS, Moeini A, Chiang SC, Flanagan E, Bromley CP, Clark C, Earnshaw CH, Koufaki MA, Bonavita E, Zelenay S. Chemotherapy-induced COX-2 upregulation by cancer cells defines their inflammatory properties and limits the efficacy of chemoimmunotherapy combinations. Nat Commun. 2022;13:2063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 520.Li L, Wang H, Zhang S, Gao S, Lu X, Pan Y, Tang W, Huang R, Qiao K, Ning S. Statins inhibit paclitaxel-induced PD-L1 expression and increase CD8+ T cytotoxicity for better prognosis in breast cancer. Int J Surg. 2024;110:4716–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 521.Liu X, Si F, Bagley D, Ma F, Zhang Y, Tao Y, Shaw E, Peng G: Blockades of effector T cell senescence and exhaustion synergistically enhance antitumor immunity and immunotherapy. J Immunother Cancer. 2022;10(10):e005020. [DOI] [PMC free article] [PubMed]
  • 522.Montfort A, Bertrand F, Rochotte J, Gilhodes J, Filleron T, Milhès J, Dufau C, Imbert C, Riond J, Tosolini M, et al. Neutral Sphingomyelinase 2 Heightens Anti-Melanoma Immune Responses and Anti-PD-1 Therapy Efficacy. Cancer Immunol Res. 2021;9:568–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 523.Collins TJC, Morgan PK, Man K, Lancaster GI, Murphy AJ: The influence of metabolic disorders on adaptive immunity. Cell Mol Immunol. 2024;21(10):1109–19. [DOI] [PMC free article] [PubMed]
  • 524.Terry AR, Hay N. Emerging targets in lipid metabolism for cancer therapy. Trends Pharmacol Sci. 2024;45:537–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 525.Fukano M, Park M, Deblois G: Metabolic Flexibility Is a Determinant of Breast Cancer Heterogeneity and Progression. Cancers (Basel). 2021;13(18):4699. [DOI] [PMC free article] [PubMed]
  • 526.Gan S, Macalinao DG, Shahoei SH, Tian L, Jin X, Basnet H, Bibby C, Muller JT, Atri P, Seffar E, et al: Distinct tumor architectures and microenvironments for the initiation of breast cancer metastasis in the brain. Cancer Cell. 2024;42(10):1693–712. [DOI] [PMC free article] [PubMed]
  • 527.Wang K, Zerdes I, Johansson HJ, Sarhan D, Sun Y, Kanellis DC, Sifakis EG, Mezheyeuski A, Liu X, Loman N, et al. Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer. Nat Commun. 2024;15:3837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 528.Chen J, Xie P, Wu P, Lin Z, He Y, Cai Z. Spatial Metabolomics and Lipidomics Reveal the Mechanisms of the Enhanced Growth of Breast Cancer Cell Spheroids Exposed to Triclosan. Environ Sci Technol. 2023;57:10542–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 529.Liao C, Glodowski CR, Fan C, Liu J, Mott KR, Kaushik A, Vu H, Locasale JW, McBrayer SK, DeBerardinis RJ, et al. Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers. Cancer Res. 2022;82:665–80. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No datasets were generated or analysed during the current study.


Articles from Molecular Cancer are provided here courtesy of BMC

RESOURCES