Abstract
Prostate cancer (PCa) is the most commonly diagnosed malignant neoplasm in men in the Western world. Localized low-risk PCa has an excellent prognosis thanks to effective local treatments; however, despite the incorporation of new therapeutic strategies, metastatic PCa remains incurable mainly due to disease heterogeneity and the development of resistance to therapy. The mechanisms underlying PCa progression and therapy resistance are multiple and include metabolic reprogramming, especially in relation to lipid metabolism, as well as epigenetic remodelling, both of which enable cancer cells to adapt to dynamic changes in the tumour. Interestingly, metabolism and epigenetics are interconnected. Metabolism can regulate epigenetics through the direct influence of metabolites on epigenetic processes, while epigenetics can control metabolism by directly or indirectly regulating the expression of metabolic genes. Moreover, epidemiological studies suggest an association between a high-fat diet, which can alter the availability of metabolites, and PCa progression. Here, we review the alterations of lipid metabolism and epigenetics in PCa, before focusing on the mechanisms that connect them. We also discuss the influence of diet in this scenario. This information may help to identify prognostic and predictive biomarkers as well as targetable vulnerabilities.
Keywords: prostate cancer, lipid metabolism, epigenetics, diet, fatty acid, cholesterol, DNA methylation, histone modifications, predictive biomarkers, therapeutic vulnerabilities
1. Introduction
Prostate cancer (PCa) is the most commonly diagnosed malignant neoplasm and the second leading cause of cancer-related death in men in the Western world [1]. There is an increasingly evident relationship between PCa and the state of chronic inflammation associated with obesity [2]. Importantly, in the coming decades, due to the progressive aging of the population, the high incidence of obesity, and the Western dietary habits common in developed countries, the incidence of PCa will increase significantly, which will represent an important public health problem.
About 80–90% of PCa patients are diagnosed at localised or locally advanced stages, and most of them can be cured with local treatments, such as surgery or radiotherapy, with or without androgen deprivation therapy (ADT) [3]. However, about 10% of patients present metastases at initial diagnosis. These patients, termed de novo metastatic castration-sensitive PCa (mCSPC) patients, have a shorter overall survival (OS) compared with patients who develop metastases years after the initial diagnosis [4,5]. Importantly, despite the current use of the prostate-specific antigen (PSA) test as a screening method, the number of patients who will present with mCSPC is expected to increase in the coming years.
It is well known that PCa is an androgen-dependent disease and activation of the androgen receptor (AR) is essential for tumour progression [6]. Hence, for patients with PCa who experience disease relapse after local therapy or for those with de novo mCSPC, ADT is the backbone of systemic therapy. However, despite significant initial responses to ADT, almost all metastatic patients progress to an incurable metastatic castration-resistant PCa (mCRPC), defined as radiographic progression and/or a rise in PSA levels despite having a castrate level of testosterone [7,8]. mCRPC has a poor prognosis, with a median OS of approximately three years, and poses a major therapeutic challenge. Since 2004, docetaxel-based chemotherapy has been the standard first-line treatment for mCRPC [4,9]. Moreover, the armamentarium of treatments for PCa has increased in recent years thanks to the FDA/EMA approval of new AR pathway inhibitors (ARPIs) such as abiraterone acetate [10,11,12], an irreversible inhibitor of the cytochrome P450 17α−hydroxy/17,20-lyase (CYP17) enzyme responsible for androgen synthesis, and next-generation anti-androgens such as enzalutamide [13,14,15,16], apalutamide [17,18], and darolutamide [19], which have changed the therapeutic landscape of PCa at different stages of the disease. However, 10–17% of mCRPC patients may develop an aggressive variant of PCa (AVPCa) such as neuroendocrine PCa (NEPC), which is associated with aggressive clinical features and poor prognosis [20]. The risk of developing NEPC is increased in patients with prolonged exposure to ARPIs.
Although the therapeutic landscape of mCRPC has changed drastically in the last decade with the incorporation of new therapeutic strategies, mCRPC still has a poor prognosis, mainly due to disease heterogeneity and the development of resistance to therapy. Therefore, there is an urgent yet unmet clinical need to find new predictive biomarkers to guide the best sequence of systemic therapy and to identify new therapeutic targets. It is now more necessary than ever to understand the molecular landscape of PCa.
Several studies have shown that epigenetic changes occur during the earliest stages of PCa, suggesting they are an essential step in PCa initiation, and are maintained throughout disease progression and metastasis [21,22]. Strong evidence also indicates that the evolution to AVPCa, like NEPC, is driven by coordinated epigenetic and transcriptional reprogramming [23]. In fact, epigenetic mechanisms, particularly DNA methylation and post-translational histone modifications, have a well-established role in regulating cell plasticity through the alteration of chromatin structure and DNA accessibility, thereby influencing gene expression programs and ultimately the phenotype [24,25].
Epigenetic alterations are a hallmark of human cancers [26,27]. In contrast to the genome, the epigenome is less stable and can change during cell cycle or in response to different stimuli, including external factors, such as physical activity, pollution, or diet [28]. Epigenetics can thus act as a link between the environment and the tumour phenotype. In several cancers, including PCa, diet can induce epigenetic modifications that result in global alterations of chromatin packaging, thereby modulating gene expression profiles and altering the course of the disease [29]. It was reported that a high-fat diet (HFD) enhanced tumour progression of human PCa in mouse models [30,31] and was also linked to increased neuroendocrine differentiation [32]. Obesity, which is related to a HFD, has also been linked to an elevated risk of developing AVPCa. However, the relationship between obesity and PCa is a complex phenomenon involving multiple biological factors, including variation in sex hormone levels and adipokines, systemic inflammation, alterations in the insulin and IGF-1 axis, and metabolic alterations [33,34].
Not only uptake of lipids from the circulation, but also de novo lipid synthesis, partly stimulated by androgens, play important roles in PCa and are correlated with tumour progression and poor prognosis [35,36]. In fact, aberrant metabolism is a hallmark of cancer, as tumour cells need to rewire their metabolism to satisfy the energy requirements and biochemical needs stemming from their uncontrolled growth and other oncogenic capacities [37]. This can lead the way towards new opportunities for PCa treatment by targeting enzymes associated with de novo lipogenesis pathways.
In the present review, we focus on the current knowledge of the link between lipid metabolism and epigenetics, specifically DNA methylation and histone modifications, in PCa. We first present an overview of the alterations of lipid metabolism and epigenetics in PCa and highlight those with potential as prognostic and predictive biomarkers and/or therapeutic targets. Next, we discuss the potential effect of diet, in particular fats, on PCa, lipid metabolism, and epigenetics. Finally, we discuss how metabolism influences epigenetics by altering the availability of metabolites, specifically acetyl-CoA, non-acetyl acyl-CoAs, NAD+, and SAM, that are used by epigenetic enzymes, and how epigenetics regulates the expression of metabolic enzymes. Finally, we explore future perspectives in PCa.
2. Lipid Metabolism Alterations: A Hallmark of PCa
Cellular metabolism consists of a complex network of enzymes, substrates, and signalling pathways involved in multiple, tightly controlled, cellular processes that maintain homeostasis and adapt to normal physiological changes, such as those produced by circadian rhythm, nutrient intake, or physical activity [38]. During tumour progression, infiltration, metastasis, adaptation and clonal selection, tumour cells rewire their metabolism, which allows them to cope with the stress produced by hypoxia and lack of nutrients in the microenvironment [39]. However, although the dysregulation of metabolism was included in the updated hallmarks of cancer by Hannahan and Weinberg in 2011 [40], few advances have made an impact on clinical practice.
For years, glucose metabolism has been highly explored. Glucose metabolism is commonly altered in many types of tumours in which the rate of glucose uptake dramatically increases and lactate is produced, even in the presence of oxygen. This process, called the Warburg effect or aerobic glycolysis, is an inefficient catabolic process compared to oxidative phosphorylation (OXPHOS) [41,42]. New insights have concluded that aerobic glycolysis is not necessarily due to a common aberrant mitochondrial function but is related to the cell type of origin and alterations in the microenvironment due to the limited availability of substrates and oxygen [43].
Normal prostate metabolism is unique and characterized by an altered tricarboxylic acid (TCA) cycle due to the high accumulation of zinc in the prostate gland (Figure 1). This inhibits the enzyme aconitase 2 (ACO2), which is responsible for catalysing the isomerization of citrate in the TCA cycle. This, in turn, promotes the accumulation of citrate to be secreted into the prostatic fluid and the demand to generate citrate is compensated by aspartate [44]. As a result, in normal prostate cells, the rate of OXPHOS is low, while aerobic glycolysis is high. Many of the components involved in the metabolic program of the prostate are regulated and coordinated by AR [45].
PCa, like most tumours, undergoes a metabolic shift (Figure 1), but in contrast to other tumours, PCa favours enhanced OXPHOS but limited glycolysis, ruling out the use of advanced diagnostic procedures such as standard fluorodeoxyglucose-positron emission tomography (FDG-PET) for the detection of tumour relapse in the early stages when PSA values are low [46,47]. This metabolic reprogramming is largely mediated by AR and the loss of zinc transporters during the oncogenic process [45,48]. Zinc depletion reactivates ACO2 and restores the TCA cycle, which is mainly fuelled by extracellular and intracellular pyruvate (Figure 2) [49]. Citrate is not accumulated but is oxidized in the TCA cycle and exported to the cytoplasm to generate acetyl-CoA as building blocks for fatty acids (FAs).
However, during progression to mCRPC there is a switch to the Warburg effect [50] (Figure 1). The Warburg effect seems to be promoted by bone marrow adipocytes, which activate the expression of glycolytic enzymes in mCRPC cells. In addition, increased lactate secretion into the tumour microenvironment is also associated with tumour aggressiveness.
Interestingly, specific genetic backgrounds under specific environmental conditions can induce a different metabolic landscape in PCa. This is the case for some germline NK3 Homeobox 1 (NKX3.1) polymorphisms under oxidative stress [51]. The NKX3.1 cancer-associated variants R52C or T64A, present in 14% and 11% of the population, respectively, impair the mitochondrial function of NKX3.1 and lead to the dysfunction of mitochondrial OXPHOS and promotion of aerobic glycolysis which can result in a more aggressive early PCa phenotype. These findings open new avenues to target subsets of men at increased risk of developing PCa or subsets of PCa patients with specific molecular and metabolic phenotypes. In line with this, the use of prophylactic mitochondrial antioxidant therapy may benefit individuals harbouring these NKX3.1 polymorphisms. Moreover, as NKX3.1 expression and localization are associated with clinical outcome, their analysis may improve risk assessment in PCa patients, especially for men under active surveillance.
PCa, both at early and late stages, is also characterized by an increased de novo lipogenesis and FA oxidation (FAO) (Figure 1) through the upregulation of AR-regulated lipogenic enzymes to fulfil the energetic and anabolic needs of cancer cells [50]. In this setting, the transcription factors sterol regulatory element-binding proteins (SREBPs), which comprise three isoforms, SREBP1a, SREBP1c, and SREBP2, are the main regulators of lipogenesis [52]. The interaction between androgens and SREBPs is complex and mediated by AR, which enhances both the expression and the activation of SREBPs. AR can also directly regulate the expression of lipogenic genes due to the proximity of AR binding sites (ARBS) to lipid metabolism gene promoters. It is interesting to note that there is a reciprocal relationship between these two pathways, as SREBP can activate the AR pathway by activating AR gene expression.
In addition to AR-dependent metabolic alterations, the PCa-associated genetic aberrations that are not related to AR, such as p53 loss, phosphatidylinositol-3-kinase (PI3K) mutations, and loss of Phosphatase and tensin homolog (PTEN), also enhance lipid metabolism, exemplifying the close relationship between genetic drivers and metabolic reprogramming. Mutants of the tumour suppressor p53 were reported to activate the SREBP-mediated metabolic pathways in metastatic PCa cells [53]. Several studies have shown that SREBP is also activated through the PI3K/Protein Kinase B/mammalian target of rapamycin (PI3K/AKT/mTORC1) oncogenic signalling pathway [54]. Finally, the co-deletion of PTEN and promyelocyticleukaemia protein (PML) also results in an SREBP-dependent activation of lipogenesis promoting metastatic PCa [55].
Overall, these data indicate that, unlike other tumours, prostate tumours are highly dependent on lipid metabolism (Figure 1). Consequently, lipids, including FAs, cholesterol, and phospholipids, play a key role in the development and progression of PCa, as summarized in the following sections.
2.1. Alterations of FA Metabolism in PCa
FAs are important energy sources, common components of complex lipids, and building blocks in anabolic processes [56]. Most normal cells can uptake dietary lipids from the circulation and can also synthesize de novo lipids using acetyl-CoA as building blocks. FA metabolism is therefore a complex network of interacting pathways ranging from uptake of external FAs, de novo synthesis, expression of regulatory genes, energy production through FAO, storage in lipid droplets (LD), and release of FAs from intracellular stores and surrounding tissues.
2.1.1. De Novo FA Synthesis
PCa is characterized by an increased de novo FA synthesis that has been associated with energy storage, redox balance, increased requirement by cell membranes, and regulation of many key cellular processes that are involved in cell proliferation, apoptosis, differentiation, angiogenesis, inflammation, motility, epithelial–mesenchymal transition, and drug resistance [36,57]. FA synthesis occurs in the cytosol and the first reaction is the conversion of citrate, derived from the mitochondrial TCA cycle, to acetyl-CoA by ATP citrate lyase (ACLY) [57]. Acetyl-CoA is then converted to malonyl-CoA by the rate-limiting enzyme acetyl-CoA carboxylase (ACACA, commonly referred to as ACC). Subsequently, FASN catalyses the synthesis of palmitate, a saturated FA (SFA), which undergoes further modifications, specifically desaturation by fatty acyl-CoA desaturases (FADS) or stearoyl-CoA desaturases (SCDs), and elongation by elongases (ELOVLs), to generate monounsaturated FAs (MUFAs) and polyunsaturated FAs (PUFAs) (Figure 2).
Some of these enzymes are regulated by androgens and are overexpressed in PCa [35]. They play an important role in the development and progression of PCa and, importantly, have been proposed as biomarkers for prognosis. For example, FASN is upregulated in early PCa, increases during progression, and correlates with poor prognosis and survival [58]. Additionally, SCD1 overexpression correlates with a higher Gleason grade [59], and ELOVL7 is involved in PCa growth and survival [60]. Moreover, some of these enzymes can be targeted, making them a clinically exploitable vulnerability in the setting of mCRPC, and efforts are being made to develop specific inhibitors. In particular, FASN inhibition has been shown to antagonize the growth of mCRPC in in vitro models through metabolic reprogramming [61], and ACLY inhibition sensitizes mCRPC cells to enzalutamide, although no ACLY inhibitors have yet reached the clinical level [62]. There is also great interest in using dietary interventions to improve the efficacy of existing cancer treatments [63].
2.1.2. FA Uptake
Although de novo FA synthesis is a key process of adaptation in PCa, exogenous FAs are also important and are regulated by AR signalling in different ways [64]. The major proteins involved in FA transport that are active in PCa include the FA translocase CD36, the plasma membrane FA binding protein (FABPpm), the cytosolic FABPs, and the FA transport protein (FATP) (Figure 2) [36]. CD36 is an FA receptor expressed in a broad variety of cell types and involved in many processes such as angiogenesis, atherosclerosis, inflammation, and lipid metabolism [65]. The uptake of FAs, such as palmitic acid, by CD36 has been associated with migration and metastasis in in vivo models of squamous cell carcinoma [66,67] and gastric cancer [68], yet it has not been investigated if it also occurs in PCa. Importantly, the inhibition of FA uptake by blocking CD36 has been associated with significant benefit in preclinical models of PCa, specifically a reduction in tumour growth and PCa severity. However, CD36 blockade can activate de novo lipogenesis, so combined blockade of both pathways through CD36 and FASN inhibition may provide greater antitumour activity than either of the single treatments alone [69].
FABPpm is located in the outer plasma membrane and promote cellular FA uptake [70], while FABPs are cytosolic and are involved in the intracellular trafficking of FAs by regulating its cellular accumulation, utilization, and fate [71]. PCa expresses different types of FABPs and their pattern of expression is altered when compared with normal prostate tissue [72]. Interestingly, androgens stimulate lipolysis of FAs from adipocytes [73] and can induce the expression of FABPs in PCa cells, which results in a paracrine cycle of FA release from the adipose-rich tumour environment and optimized FA uptake by tumour cells [74]. The volume and composition of the adipose tissue is related to diet, intake patterns, hormonal stimulation, genetics, and metabolic syndrome [75]. In this regard, ADT, the cornerstone of PCa treatment, promotes metabolic syndrome, which may influence lipid availability and consumption [76]. Moreover, FABPs have been related to prognosis in PCa [77,78]. Targeting this family of proteins in in vitro and in vivo models has shown a synergistic effect on PCa growth, specifically when combining FABP5 inhibitors with docetaxel/cabazitaxel [79].
Regarding FATPs, their expression is highly heterogeneous in PCa and their role and clinical implications are not fully clarified [36].
2.1.3. FA Oxidation (FAO)
FAO is a multi-step process that occurs in the mitochondrion and in the perixosome. Mitochondrial FAO consists of the conversion of long chain FAs (LCFAs) into acetyl-CoA to generate energy while perixosomal FAO does not contribute to energy production directly but is required for the initial oxidation of very LCFAs (VLCFAs), branched chain FAs, and other FA derivatives that cannot be directly oxidized by the mitochondrion [80]. FAO is not only an important process to obtain energy but it has also been proposed as a gatekeeper that is dysregulated by oncogenic signals to drive tumorigenesis [81]. The overexpression of enzymes involved in FAO has been detected in various types of cancer, including PCa. LCFAs enter the cell, are converted into fatty acyl-CoA by the long chain acyl-CoA synthetase (ACSL), and then are shuttled into the mitochondria by the carnitine shuttle system, which consists of three enzymes (carnitine palmitoyltransferase (CPT) 1, carnitine/acylcarnitine translocase (CACT), and CPT2) (Figure 2). Once in the mitochondria, they enter the oxidation process. Metabolomic and transcriptomic data have revealed an elevated expression of CPT1 and CPT2 in PCa [82]. CPT1 is also amplified in 22% of NEPC [23]. Recent preclinical studies have shown that inhibition of lipid catabolism by blocking FAO results in increased activity of the AR pathway, leading to increased sensitivity to enzalutamide and reduced PCa growth [83]. 2,4-Dienoyl-CoA Reductase 1 (DECR1) is another enzyme involved in FAO, specifically in an auxiliary pathway for PUFA β-oxidation. Data from The Cancer Genome Atlas (TCGA) have revealed an increased expression of DECR1 in PCa that correlates with a higher Gleason score, more advanced disease, and shorter survival. In addition, in in vitro and in vivo models, there was a relationship between androgen signalling and inhibition of DECR1, and treatment with castration therapy and ARPIs produced an overexpression of DECR1 [84].
2.1.4. FA Storage and Release
LDs are highly conserved cellular structures that store fat in the form of neutral lipids; they are composed of a core of triglycerides (TAGs) and hydrophobic sterol esters and surrounded by a hydrophobic phospholipid monolayer [85]. LDs are formed in response to various stimuli, including excess of lipids or a variety of stresses, and have diverse cellular functions, including mobilizing FAs to synthesize membranes or to obtain energy, lipid signalling pathways, and sequestering toxic lipids [86].
The accumulation of LDs has been observed in many cancers and is elevated in cancer cells exposed to hypoxia or nutrient starvation [87]. In PCa, androgens induce a marked stimulation of the synthesis and accumulation of neutral lipids in LDs [88]. Diacylglycerol acyltransferase 1 (DGAT1) is one of the major enzymes in TAG biosynthesis that specifically catalyses the final step of lipogenesis, converting diacylglycerol (DAG) and acyl-CoA to TAG (Figure 2). DGAT1 is overexpressed in PCa compared to normal prostate epithelium. The inhibition of this lipogenic enzyme reduced proliferation, migration and invasion of PCa cells in vitro and reduced PCa cell growth in vivo [89].
The best-characterized mechanism by which FAs are released from LDs involves cytoplasmic lipases. In response to various cellular signals, lipolysis is initiated by the enzyme adipose triglyceride lipase (ATGL) [90]. Unlike other cancer types, the role of ATGL in PCa is ambiguous based on the contradictory reported findings [91,92]. The action of ATGL is followed by hormonesensitive lipase (HSL), whose expression can be inhibited by androgens, as shown in human subcutaneous adipose tissue [93]. In PCa, HSL seems to be directly involved in the pathobiology of CRPC by triggering intratumoral de novo steroid synthesis which activates AR [94]. The final step in the lipolytic cascade is performed by monoacylglycerol lipase (MGL), which is highly expressed in aggressive human cancer cells and primary tumours [95], where it regulates a pro-oncogenic FA network. In PCa MGL expression is also increased and is part of a gene signature associated with epithelial-to-mesenchymal transition and stem-like properties. Most importantly, MGL inhibition impairs PCa aggressiveness [96]. Together, these enzymes break down TGAs, releasing FAs and glycerol that can be used for energy generation by FAO. However, the molecular mechanisms that control the balance between lipogenesis and lipolysis in PCa cells is largely unknown.
2.2. Alterations of Cholesterol Metabolism in PCa
Another important metabolic process in PCa is cholesterol metabolism. PCa tumours are dependent on steroid hormones such as testosterone, which is derived from cholesterol, through AR activation [97].
Cellular and systemic cholesterol concentrations are fine-tuned by the master transcriptional regulators governing cholesterol homeostasis, such as SREBP-2, liver X receptors (LXRs), and nuclear factor erythroid 2 related factor-1 (NRF1) [98]. Accumulation of cholesterol and cholesterol-derived oxysterols deactivates the SREBP-2 pathway, whereas hypoxia and nutrients depletion upregulate this pathway and its downstream targets.
Cellular cholesterol can either be imported from an extracellular source or endogenously synthesized de novo through the mevalonate pathway [98], which is upregulated in PCa [99]. The first step in cholesterol synthesis is catalysed by acyl-CoA: thiolase (AACT), which converts acetyl-CoA into acetoacetyl-CoA (Figure 2). This is followed by condensation to 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) by the HMG-CoA synthase (HMGCS). Finally, HMG-CoA is reduced to mevalonate by HMG-CoA reductase (HMGCR), the main target of statins, and the rate limiting reaction of the cholesterol synthesis pathway. Several studies have suggested a potential benefit for cholesterol-lowering statin therapy in PCa. However, there are conflicting results as a recent preclinical study has suggested that statins may increase the aggressiveness of PCa [100].
Cells can also acquire cholesterol from low-density lipoprotein (LDL) taken up from the circulation via LDL receptor (LDLR)-mediated endocytosis [101]. However, in PCa tissue samples, low levels of LDLR expression have been identified in dedifferentiated tumours and in those with lethal outcomes, indicating a greater reliance on cholesterol synthesis than uptake [102]. As opposed to the LDLR, the high-density-lipoprotein receptor (SR-BI) is upregulated in PCa and correlates with a high Gleason grade and reduced disease-free survival in primary PCa [103]. In PCa, loss of PTEN through the activation of PI3K–Akt signalling leads to accumulation of cholesteryl esters (CE) by increasing cholesterol uptake and causing further esterification [104]. Interestingly, many epidemiological and preclinical studies have found that circulating cholesterol plays an important role in PCa progression, suggesting that hypercholesterolemia increases the risk of aggressive PCa and may be a risk factor for developing CRPC [99,105].
Cholesterol in excess is either exported from the cell by ATP-binding cassette (ABC) transporters [106], or converted to less toxic CEs by acyl-coenzyme A:cholesterol acyltransferases (ACATs) and then stored in LDs or secreted within lipoproteins. Tumour suppressor p53 upregulates the cholesterol-efflux transporter ABCA1 in many cancers, including PCa, thereby restricting SREBP2 maturation and subsequently repressing the mevalonate pathway [107].
2.3. Alterations of Phospholipid Metabolism in PCa
FAs are also used to synthesize phospholipids, which are essential components of cell membranes and key players in regulating signalling transduction and cell cycle [108]. In PCa, in particular, an important fraction of FAs are incorporated in phospholipids [109]. The most abundant phospholipids in membrane bilayers are phosphoglycerides, specifically phosphatidylcholine (PtdC) and phosphatidylethanolamine (PtdE), which are composed of two FAs esterified to a glycerol backbone and include choline and ethanolamine as head groups, respectively.
The metabolism of phospholipids is complex and highly altered in PCa, as reviewed in [36]; however, here we will focus on the metabolism of choline which is related with epigenetics. Activated choline metabolism is a hallmark of carcinogenesis and tumour progression, leading to elevated levels of PtdC in all types of cancer tested so far, including PCa [110], which is consistent with active membrane remodelling and cellular proliferation. Choline is an essential nutrient present in beef, eggs, wheat, and soybeans, whose uptake is increased in PCa by four types of choline transporters that mediate this process with different affinities for the substrate [111]. Diet is not the only source to obtain choline, but it can also be synthesized endogenously through the degradation of PtdC by phospholipases and this process seems to be upregulated in some cancer types such as PCa [110,111]. ADT may influence choline metabolism or choline uptake, but the evidence is not completely clear. Importantly, this flux of choline is used for diagnosis thanks to (11)C-choline and (18)F-choline PET/computed tomography (CT) in routine clinical practice, with impact on treatment decisions [112,113].
PtdC is produced from choline mainly through the Kennedy pathway, which uses acyl-CoA as building substrate [111,114]. This route has three main enzymes, choline kinase (CK), phosphocholine cytidylyltransferase (CCT), and cholinephosphotransferase 1 (CHPT1) (Figure 2). Increased expression and activity of CK has been reported in PCa, along with high levels of PtdC [115]. The expression of CCT is also of prognostic value in cancer [116]. CHPT1, which is responsible for the last step of de novo biosynthesis of PtdC, has been shown to be overexpressed in some tumours, and its overexpression positively correlates with tumour growth [117]. Focusing on PCa, data from public databases indicate a correlation between CHPT1 mRNA levels and PCa Gleason score and lymph node involvement [118]. Interestingly, androgen regulates CHPT1 gene transcription. In vitro and in vivo models of enzalutamide-resistant cells demonstrate that CHPT1 knockdown resensitizes enzalutamide-resistant cells to the drug. In addition, PtdC can be synthesized from PtdE by the phosphatidylethanolamine N-methyltransferase (PEMT) enzyme [111].
2.4. Targeting Metabolic Vulnerabilities in PCa
As previously described, lipid metabolism is a hallmark of PCa, implicated not only in its development but also in its pathological characteristics, aggressiveness, evolution and progression. Many of the metabolic pathways discussed are related to the AR pathway or to other genetic aberrations common in PCa. As we have seen, these alterations in lipid metabolism may be promising prognostic factors, and open a profoundly interesting field for the discovery of new therapeutic targets, with the potential of increasing the therapeutic armamentarium of PCa or synergizing with already approved therapies. However, it is important to note that, despite growing evidence of this close relationship, little progress has been made in translating all these breakthroughs to the clinic, and not many clinical trials in patients have been designed or are being developed (Table 1). Therefore, we must redouble our efforts to make the boom in metabolic therapies a reality in the coming years.
Table 1.
Pathway | Focus | Drug | Disease | Phase | Patients | Objective | Status | Results | Idenitifier |
---|---|---|---|---|---|---|---|---|---|
Cholesterol | HMGCR | Rosuvastatin | Metastatic PCa | Phase 4 | 70 | Agressive parameters | Completed | Not published | NCT04776889 |
Atorvastatin | Localized PCa | Phase 2 | 160 | Agressive parameters | Completed | [119] | NCT01821404 | ||
Localized PCa | Phase 2 | 354 | Recurrence rate | Completed | [120] | NCT01759836 | |||
Metastatic PCa | Phase 3 | 400 | Recurrence rate | Recruiting | Not published | NCT04026230 | |||
Atorvastatin + celecoxib | Localized PCa | Phase 2 | 27 | PSA response | Completed | Not published | NCT01220973 | ||
Atorvastatin + AAS Acetylsalicylic Acid | Castration Resistant | Phase 3 | 1210 | Overall Survival | Recruiting | Not published | NCT03819101 | ||
Simvastatin | Localizaed PCa | WOP | 42 | Changes in Mevalonate Pathway | Completed | Not published | NCT00572468 | ||
Simvastatin + Ezetimibe | Localized PCa | WOP | 63 | Agressive parameters | Completed | Not published | NCT02534376 | ||
Fluvastatin + Pimonidazole | Localized PCa | WOP | 33 | Agressive parameters | Completed | [121] | NCT01992042 | ||
Fatty acid | FASN | Omeprazole | Metastatic PCa | Phase 2 | 20 | Response rate | Recruiting | Not published | NCT04337580 |
TVB-2640 | Metastatic Solid tumour * | Phase 1 | 180 | MTD | Completed | [122] | NCT02223247 | ||
ACSS2 | MTB-9655 | Metastatic Solid tumour * | Phase 1 | 30 | MTD | Recruiting | Not published | NCT04990739 | |
LXR | RGX-104 | Metastatic Solid tumour * | Phase 1 | 135 | MTD | Recruiting | Not published | NCT02922764 | |
OXPHOS | IACS-010759 | Metastatic Solid tumour * | Phase 1 | 29 | MTD | Completed | JCO2019_37:15_sup | NCT03291938 | |
CD36 | VT1021 | Metastatic Solid tumour * | Phase 1 | 116 | MTD | Active | Not published | NCT03364400 | |
CVX-045 | Metastatic Solid tumour * | Phase 1 | 40 | MTD | Completed | Not published | NCT00879554 | ||
ABT-510 | Metastatic Solid tumour * | Phase 1 | 45 | MTD | Completed | Not published | NCT00586092 | ||
LDLR | ANG1005 | Metastatic Solid tumour * | Phase 1 | 56 | MTD | Completed | JCO2014 32:15_sup | NCT00539383 |
Abbreviations: HMGCR, 3-hidroxi-3-metil-glutaril-CoA reductase; PCa, prostate cancer; PSA, prostate-specific antigen; WOP, window of opportunity trial; FASN, fatty acid synthase; MTD, maximum tolerated dose; ACSS2, acyl-CoA synthetase short chain family member 2; LXR, liver X receptor; OXPHOS, mitochondrial oxidative phosphorylation system; and LDLR, low density lipoprotein receptor; AAS, Acetylsalicylic Acid. * Patients with PCa are included.
3. The Epigenome of PCa
Epigenetics refers to changes in gene function that are mitotically and/or meioticallyinheritable and do not entail a change in DNA sequence [123]. These changes occur in response not only to internal cellular factors but also to external factors; epigenetics can thus act as the link between the environment and the phenotype. Collectively, epigenetic mechanisms of gene regulation make up the epigenome, which consists of a complex network of interactions between DNA methylation, chemical histone modifications, histone variants, and non-coding RNAs, all of which are regulated by numerous enzymatic mechanisms [124,125,126,127,128]. These epigenetic marks do not change the DNA sequence, but instead modify chromatin structure and DNA accessibility, which influences numerous DNA-templated processes, such as gene expression and, ultimately, the phenotype. Accordingly, aberrant epigenetic marks translate into aberrant transcriptional programs that are characteristics of many diseases and are a nearly universal event in cancer [26,27].
PCa arises from both genetic and epigenetic alterations [129,130]. It seems that epigenetic changes occur earlier than genetic ones as DNA methylation alterations occur consistently in preneoplastic lesions [131]. However, epigenetic alterations are key not only to PCa initiation but also to PCa progression. Beltran and colleagues provided interesting insights into NEPC evolution as an adaptation from “classical” CRPC cells, rather than a linear or independent clonal evolution, and suggested that this lineage reprogramming is driven largely by the dysregulation of the epigenome and transcriptional networks [23]. In fact, aberrant DNA methylation patterns and altered expression of epigenetic modifiers such as enhancer of zeste 2 polycomb repressive Complex 2 Subunit (EZH2), transcription factors such as SRY-box transcription factor 2 (SOX2), brain-specific homeobox/POU domain protein 2 (BRN2) and N-Myc, and RNA-modifying factors are hallmarks of NEPC [23,132]. In particular, the epigenetic modulator EZH2, a master regulator of NEPC reprogramming [23,133], is frequently overexpressed in patients who have progressed to NEPC; consequently, its inhibition may prevent ARPI-mediated neuroendocrine differentiation [134,135].
3.1. Alterations of DNA Methylation in PCa
DNA methylation is the addition of a methyl group to cytosines within the dinucleotide CpG mediated by DNA methyltransferases (DNMTs), which use S-adenosylmethionine (SAM) as the methyl donor [136,137]. DNA methylation has traditionally been considered an inactive mark associated with closed chromatin and transcriptional silencing. However, this is not totally true; its function is highly genomic context-dependent, and DNA methylation in promoters and enhancers or in repeat sequences plays a repressive role, while DNA methylation affecting body genes often results in increased transcriptional activity [138].
Tumour cells are characterized by gains (hypermethylation) and losses (hypomethylation) of DNA methylation compared to normal tissue [26,27]. Hypermethylation is usually local and can occur in regulatory elements, where it causes the silencing of genes involved in multiple cellular processes, such as apoptosis, cell cycle, and DNA repair, many of which are tumour suppressor genes. In contrast, hypomethylation is often global and affects large genome domains; it is associated with chromosome instability, activation of transposable elements and pro-oncogenic genes, and loss of genomic imprinting.
DNA methylation has several characteristics which make it a promising source of biomarkers: it is stable, even in fixed samples, over time; it can be measured by simple and quantitative well-established methods; and it can be detected in different body fluids such as blood, urine, semen, saliva, etc. [139]. Several studies analysing the DNA methylome of PCa have found that DNA methylation patterns can distinguish benign prostate tissue, primary PCa, and mCRPC [140,141], and also differentiate between epigenetic subtypes of mCRPC [142]. Additionally, DNA methylation patterns have been associated with specific genetic alterations [143].
In early stages of PCa, DNA hypermethylation occurs in many genes, such as glutathione-S-transferase pi 1 (GSTP1, which belongs to the GST family of detoxification enzymes), PTEN (the most frequently lost tumour suppressor gene in Pca), and Ras association domain family protein 1, isoform A (RASSF1A), indicating that epigenetic alterations are early events in Pca [130,144,145,146,147]. Importantly, the AR promoter itself has also been found hypermethylated in a subset of CRPCs [148]. Some of these epigenetic alterations have been associated with different clinicopathological variables, suggesting that they may be potential biomarkers [145].
Though to a lesser extent than hypermethylation, gene promoter hypomethylation also occurs in PCa, for example in cancer/testis antigen gene (CAGE), cytochrome P450 family 1 subfamily B member 1 (CYP1B1), and heparinase (HPSE) [128,144,145,146,147]. As occurs with hypermethylation, the hypomethylation and consequent upregulation of some of these genes have been associated with clinical variables, suggesting their utility as biomarkers. Global hypomethylation, which affects repetitive sequences such as LINE-1 and Alu elements [149,150], has also been associated with PCa development and progression [151,152].
Not only is DNA methylation altered, but some of the enzymes involved in the DNA methylation/demethylation processes are also deregulated in PCa. DNMTs are overexpressed in PCa, whereas Ten-Elevated Translocation (TET) genes, involved in DNA demethylation, are underexpressed. Moreover, some of these genes are mutated in PCa with higher mutation rates in mCRPC [142]. Thus, the interest of DNA methylation modulators as therapeutic targets has grown in recent years, and different epigenetic compounds targeting these enzymes have been developed. However, demethylating agents, such as the DNMT inhibitor 5-azacytidine as well as 5-aza-2′-deoxycytidine, have been shown to be effective in the treatment of myelodysplastic syndromes [153] and have antitumour activities in in vitro experiments and animal models of several types of cancer, including PCa [154,155,156], but clinical trials have shown no significant effects [144]. Therefore, additional studies are required to assess the role of demethylating agents as therapeutic options for PCa, alone or in combination with other drugs.
Taken together, these data demonstrate the importance of DNA methylation in PCa both in tumour development and progression and for diagnosis and therapy.
3.2. Alterations of Histone Modifications in PCa
Chromatin is a DNA-protein complex whose basic repeating structural unit is the nucleosome, which consists of 147 bp of DNA wrapped around a histone octamer (two copies each of H2A, H2B, H3, and H4) [157]. Ultimately, chromatin can be further compacted to form higher-order structures restricting DNA access. Histones can be modified through the post-translational addition of different chemical groups (e.g., methyl, acetyl, phosphate, and ubiquitin) to specific amino acids by a broad range of enzymes, such as histone acetylases (HATs), histone deacetylates (HDACs), histone methyltransferases (HMTs) or histone demethyltransferases (HDMTs) [124]. Histone modifications are epigenetic marks that can regulate gene expression by altering chromatin and leading to a more open or a more compact structure, respectively associated with transcriptional activation or repression. These effects can be exerted either directly by upsetting the interaction between DNA and histones or indirectly through the recruitment of enzymatic chromatin modifiers. As a result, some histone marks are considered active, such as the acetylation of any lysine (H3K4Ac, H3K27Ac, and H4K20Ac) or the methylation of specific lysine residues (H3K4me, H3K36me, and H3K79me), while others are considered repressive, such as some lysine methylations (H3K9me and H3K27me).
Several studies have reported the alteration of global levels of histone modifications in PCa [158]. In localized PCa, H3K9me2/3, H3K4me1, AcH3, and AcH4 are reduced compared to benign prostate tissue, while H3K4me1/2/3 and H3K18Ac are increased in CRPC [159,160]. General hypomethylation of H4K20me1/2 in mCSPC and CRPC has also been reported [161]. Interestingly, some of these marks are associated with clinicopathological parameters: H3K4me1 correlates with PSA recurrence; H3K18Ac and H3K4me2 predict relapse-free survival; H4K20me1 correlates with lymph node metastases; and H4K20me2 correlates with Gleason score. Recent studies have also shown an increase in global H3K27me3 levels associated with PCa progression and metastasis and correlating with Gleason score [162,163].
Many histone-modifying enzymes have been shown to participate in prostate carcinogenesis [129,144,164]. For example, HDAC1/2/3 are highly expressed in CRPC [165], and the lysine specific demethylase 1 (LSD1) has been linked to risk of relapse [166]. The most studied epigenetic enzyme in PCa is EZH2, an HMT responsible for H3K27 trimethylation [167]. EZH2 is overexpressed in PCa, particularly in mCRPC, and has been strongly related to DNA hypermethylation [168]. It correlates with Gleason score and poor prognosis and is a master regulator of NEPC reprogramming.
Interestingly, androgen stimulation can trigger changes in histone patterns. For instance, AR recruits HATs and co-activators with HAT activity, such as p300 and CREB binding protein (CBP), to the promoter and enhancers of kallikrein 3 (KLK3) gene (encoding PSA) and other AR targets, promoting their transcriptional activation [169]. In contrast, HDMTs can also be recruited through androgen stimulation-dependent mechanisms, resulting in an inactive chromatin state [170], suggesting that histone acetylation levels of AR target genes have a key role in AR function.
In summary, like aberrant DNA methylation, alterations in histone modifications and histone-modifying enzymes are a hallmark of cancer and have a potential role both as biomarkers and as therapeutic targets [144,158]. The best studied histone modulators in PCa treatment are HDAC inhibitors, but outcomes of clinical trials are not as promising as those from preclinical studies [144], thus further research is warranted.
4. Influence of Diet on PCa, Lipid Metabolism and the Epigenome
Many epidemiological studies have observed that obesity is related to a higher incidence of high-risk or aggressive PCa and of PCa recurrence and, thus, an increased risk of PCa progression and death [171,172,173]. Increased visceral fat has been also associated with an increased risk of developing PCa [174]. Men with hypercholesterolemia are also at high risk of developing aggressive PCa [99]. Marin-Aguilera and colleagues recently demonstrated that hypercholesterolemia levels in mCRPC patients was associated with poorer clinical outcomes [105]. Dietary fat, as a fundamental contributor to obesity, may explain, at least partly, the complex link between obesity and PCa, as evidenced by the fact that countries with a higher dietary fat intake show higher PCa mortality rates [175]. However, although the association between fat intake and PCa risk has been extensively studied, it still remains controversial. Several studies point out to the importance of the composition of FAs rather than the total dietary fat intake. In line with this, some epidemiological studies have shown that high intake of animal and saturated fats is associated with increased risk of advanced or fatal PCa [176,177,178,179]. In contrast, vegetable fat intake has been associated with a lower risk of fatal PCa [180]. In addition to fats, other nutrients, which are not the focus of this review, are also related to PCa, as reviewed elsewhere [63,181]. Collectively, these findings raise the possibility that nutritional interventions may be useful for prevention of development of aggressive tumours in men at high risk of PCa and/or PCa patients. However, more studies are needed to better understand the complex relationship between diet and PCa.
One of the proposed mechanisms that could explain the association between HFD and PCa is through lipid metabolism [182]. Accordingly, the increased uptake of dietary lipids affects the formation of LD, as they are stored in form of LD in prostate cells, influencing lipid metabolism and contributing to the development of PCa [91]. Moreover, FASN expression in LNCaP (Lymph Node Carcinoma of the Prostate), a PCa cell line, xenograft mice fed with HFD was enhanced and correlated with PCa progression [183]. More importantly, a diet enriched in SFA promoted mCRPC in a PTEN knockout (KO) mouse model through an aberrant lipogenic program regulated by SREBP [55]. In the same line, a HFD enriched in SFA in another mouse PCa model enhanced a MYC proto-oncogene, bHLH transcription factor (MYC) transcriptional signature through metabolic alterations [184]. Switching from a HFD to a low-fat diet, the MYC transcriptional program was attenuated. Interestingly, SFA intake was also associated with a MYC transcriptional signature in PCa patients, which predicted PCa progression and death. Overall, these results point the influence of diet on lipid metabolism and open new avenues of treatment involving changes to the diet.
As a result of the influence of dietary components on metabolism, the availability of certain metabolites is affected, which in turn modifies epigenetic mechanisms because some metabolites are used by epigenetic enzymes as cofactors or act as direct epigenetic modulators, as summarized further below. These epigenetic alterations may regulate, at least partly, the transcriptional programs induced by diet. In line with this, the MYC transcriptional program enhanced by HFD in a murine PCa model was mediated by metabolic alterations that favoured the histone H4K20 hypomethylation at the promoter regions of MYC regulated genes, leading to increased cellular proliferation and tumour burden [184].
5. Interaction between Lipid Metabolism and Epigenetics in PCa
There is no doubt that metabolic and epigenetic alterations are hallmarks of cancer cells and are reciprocally linked [185,186,187]. The activity of some epigenetic enzymes depends on metabolic intermediates such as Acetyl-CoA, non-acetyl acyl-CoAs, NAD+, and S-adenosylmethionine (SAM), which act as substrates or cofactors, indicating that the epigenetic machinery is susceptible to metabolite fluctuations, which can occur in response to internal or external stimuli, including diet. At the same time, epigenetic alterations can drive metabolic reprogramming by influencing the expression of metabolic enzymes. As described above, many studies have reported an association between diet, obesity, and PCa development and progression, and epigenetics may be the bridge connecting these factors. Given that lipid metabolism is a key player in PCa, here we focus on the interaction between lipid metabolism and epigenetics, in particular DNA methylation and histone modifications.
5.1. Impact of Lipid Metabolism on Epigenetics
5.1.1. FAs, Acetyl-CoA, and Histone Acetylation
The metabolite acetyl-CoA is a key factor in metabolism. It is derived from different sources, such as pyruvate, citrate, acetate, FAs, and amino acids, through different metabolic pathways. It is essential for a wide range of processes, such as ATP production, FA synthesis, steroid synthesis, and protein acetylation, including the epigenetic mark histone acetylation [188].
Histone lysine residues can undergo acetylation-deacetylation switches that are regulated by the action of HATs and HDACs, respectively. HATs catalyse the transfer of an acetyl group from acetyl-CoA to the lysine residues of histones, which neutralizes the lysine’s positive charge and decreases the ionic affinity between DNA and histones, promoting DNA accessibility. For this reason, histone acetylation is considered an active mark associated with open chromatin and transcriptional activation. In addition, histone acetylation acts to recruit numerous activating factors [189].
Histone acetylation levels have been associated with different clinical variables in PCa [159,160]. Therefore, a better understanding of how tumour histone acetylation levels are governed is clinically important. Although multiple factors are involved, several studies have found that histone acetylation is highly sensitive to the availability of acetyl-CoA, the universal substrate of HATs [190,191,192], and PCa is no exception, as demonstrated by the oncogenic activation of Akt that drives changes in acetyl-CoA production and histone acetylation in prostate tumours [193]. Interestingly, acetyl-CoA levels can not only alter the histone acetylation levels but also the pattern, as has been shown with p300, whose specificity can be perturbed by acetyl-CoA levels so that acetylation increases at some sites and decreases at others [194]. Although no specific studies have been performed in PCa in this regard, this seems to be a widespread mechanism. Thus, the different pathways regulating acetyl-CoA levels in PCa cells can influence histone acetylation levels and patterns and consequently modify the transcriptome and cellular phenotype.
The canonical pathway to generate acetyl-CoA occurs in the mitochondria, where the pyruvate generated by glycolysis is converted to acetyl-CoA by the pyruvate dehydrogenase complex (PDC) (Figure 2) [195]. PDC has also been found in the nucleus of PCa cells, where it controls the expression of SREBP target genes by mediating histone acetylation. Specifically, inactivation of PDC by inhibiting the subunit pyruvate dehydrogenase A1 (PDHA1) has been shown to inhibit PCa development in mouse and human xenograft tumour models, affecting H3K9 acetylation and the expression of lipogenic genes [196]. Interestingly, PDH1A and the PDC activator pyruvate dehydrogenase phosphatase 1 (PDP1) are amplified and overexpressed in PCa. These findings may pave the way for the targeting of the nuclear function of PDC in PCa patients, which could be achieved by using pyruvate analogs or alternatively by developing inhibitors of PDHA1.
Under starved conditions (low glucose levels), the mitochondrial acetyl-CoA can be generated by FAO from free FAs (Figure 2). This is especially important in PCa, which, unlike other cancer types, relies on FAO as the dominant energetic pathway, mostly in early disease stages [80]. Alternatively, acetyl-CoA can also be obtained from the short chain FA (SCFA) acetate in the cytosol by the acyl-CoA synthetase short chain family member 2 (ACSS2). ACSS2 is also located in the nucleus of some cancer cells, including PCa [197], where its main function is to maintain histone acetylation under conditions of limited oxygen and nutrient availability by recapturing the acetate released as a consequence of histone deacetylation reactions.
Under fed conditions (high glucose levels), the mitochondrial citrate derived from acetyl-CoA can be transported to the cytosol or to the nucleus and converted to cytosolic or nuclear acetyl-CoA by ACLY. Cytosolic and nuclear acetyl-CoA are then used for FA synthesis or histone acetylation, respectively [198]. Interestingly, Lee et al. reported that the oncogene Akt can regulate the levels of histone acetylation by enhancing acetyl-CoA synthesis through the phosphorylation of ACLY, even during nutrient limitation, in PCa [193].
Although cytosolic acetyl-CoA can enter the nucleus and influence the nuclear acetyl-CoA pool—and vice versa—it seems that nuclear production is mainly regulated by nuclear ACLY, ACSS2, or PDH. Therefore, glucose and FA availability, as well as subcellular compartmentalisation of some metabolites, can affect acetyl-CoA levels and, consequently, histone acetylation.
Intriguingly, the chemical properties of acetyl-CoA allow the spontaneous acetylation of lysines and, as a result, the local generation of acetyl-CoA can regulate protein acetylation, including that of histones [199]. Therefore, the nuclear metabolic enzymes ACLY, ACSS2, and PDH that regulate nuclear acetyl-CoA levels can act as direct epigenetic regulators [192].
The levels of acetyl-CoA can be also indirectly influenced by arginine in PCa. Argininosuccinatesynthetase (ASS), the enzyme responsible for intracellular arginine synthesis, is repressed in some tumour types, including PCa [200]. ASS-deficient tumours require external arginine for growth and survival. In these tumours, arginine acts as an epigenetic regulator that induces global histone acetylation through the activation of the mTOR pathway, which upregulates ACLY and ACSS2 and consequently increases acetyl-CoA levels [197].
Another promising finding related to Acetyl-CoA levels from a therapeutic point of view derives from the study by Xu Q et al. [201]. They showed that chemoresistant PCa cells were sensitive to HDAC inhibitors, specifically Trichostatin A (TSA) and suberoylanilide hydroxamic acid (SAHA), and those cells with higher levels of acetyl-CoA and hyperacetylated proteins, including histones, were more sensitive. Thus, the levels of acetylation proteins and/or nuclear-cytosolic acetyl-CoA may be potential biomarkers to predict HDAC inhibitors response in chemoresistant PCa cells.
5.1.2. SCFAs, Non-Acetyl Acyl-CoAs, and Histone Acylation
Acetylation was the first identified histone acyl modification. However, as a result of advances in high-sensitivity mass spectrometry techniques, the catalogue of known histone modifications has greatly expanded to include new types of histone short-chain acylations (e.g., butyrylation, crotonylation, and malonylation) [202]. Histone acylation differs from histone acetylation in the length of the carbon chain and in the charge. A wealth of evidence indicates that histone acylation can affect gene regulation and is functionally distinguishable from histone acetylation [203]. No specific enzymes for these histone marks have been identified; rather, the different acyl groups can be added by previously identified HATs. It is assumed that the levels of a specific histone acylation would depend on the relative levels of the corresponding acyl-CoA and the rest of the acyl-CoAs, which would compete for specific HATs [204]. In turn, the levels of non-acetyl acyl-CoAs depend on the levels of SCFAs, most of which are generated by intestinal microbial anaerobic fermentation of dietary fibre, indicating that histone acylation levels are largely dependent on diet [205]. Adding SCFAs, such as crotonate or β-hydroxybutyrate, to the cell culture medium increases cellular concentrations of their respective acyl-CoAs and histone acylation, suggesting that the SCFA is converted into its corresponding acyl-CoA, which is then used directly as a co-factor in a histone acylation reaction [202,206]. Therefore, SCFAs can act as epigenetic regulators by directly influencing histone acylation. Interestingly, in addition to competing for HATs, the different histone acylations may compete for other metabolic enzymes. For example, ACSS2 has been shown to be involved in the synthesis of crotonyl-CoA from the SFCA crotonate, although it is not known if the relationship is direct or indirect [207].
Little is known about the role of these histone marks and their relationship with lipid metabolism and diet in PCa. A recent study showed that the levels of histone crotonylation in PCa tissue were higher than in adjacent normal tissue and, moreover, increased with disease progression. In addition, in both androgen-dependent and castration-resistant PCa cell lines, histone crotonylation was able to specifically activate the AR pathway and promote cell proliferation, migration, and invasion [208]. This epigenetic mark may thus be a potential prognostic biomarker and therapeutic target.
5.1.3. SCFAs and Histone Deacetylases
SCFAs can also influence the chromatin structure by inhibiting HDACs [205]. Studies have revealed that among the SCFAs, butyrate is the most effective HDAC inhibitor, followed by propionate. Butyrate has multiple effects in PCa, including induction of differentiation, growth arrest, and induction of apoptosis, which are partly due to its capacity to inhibit HDAC activity [209,210,211]. Accordingly, treating cells with butyrate results in histone hyperacetylation and thus remodelling of chromatin towards an open and transcriptionally competent state. Importantly, Paskova et al. showed in in vitro models that butyrate had an effect on PCa cells, but not on normal cells; specifically, it decreased cell viability, induced AR coregulators expression, and activated transcription activity, at least partly through the increase in H4K18Ac and H4K12Ac [212].
These findings may be important for potential incorporation of butyrate, specifically sodium butyrate, into PCa therapy. Moreover, the manipulation of butyrate by alterations in the microbiota through diets that favour the gut generation of butyrate can be potentially taken into consideration for PCa treatment/prevention.
5.1.4. FAs and Sirtuins
Sirtuins (SIRT1 to SIRT7), initially classified as class III nicotinamide adenine dinucleotide (NAD+)-dependent HDACs [213,214,215], are now known to be localized in different subcellular compartments (nucleus, cytosol, and mitochondrion), where they have specific substrates and functions, including response to stress, genome stability, aging, and metabolism homeostasis. Sirtuins deacetylate not only histones but also non-histone proteins. Additionally, they have deacylase activity and can remove other single acyl groups, such as succinyl, malonyl, and even long-chain fatty acyl groups [216,217]. Sirtuins are connected to lipid metabolism at different levels and bidirectionally. The most direct link is by mithocondrial sirtuins, which can deacetylate metabolic enzymes; for example, SIRT3 deacetylates ACO2 in PCa [218]. However, here we focus on the sirtuins that act as epigenetic regulators, specifically SIRT1, SIRT2, SIRT6, and SIRT7, which are found in the nucleus and can deacetylate specific lysine residues of histones (thus causing compaction of chromatin and gene inactivation), histone-modifying enzymes, and structural and transcription factors [219].
Sirtuins are NAD+-dependent, and a widely accepted hypothesis is that fluctuations of NAD+ levels can regulate sirtuin activity [214,220]. For instance, reduced intracellular NAD+ limits the deacetylase activity of SIRT1, resulting in elevated H4K16Ac levels [221]. The NAD+ homeostasis is maintained by biosynthesis, consumption and recycling in the different subcellular compartments—mitochondria and cytosol/nucleus. The principle source of NAD+ is from salvage pathways that recycle other adenine nucleotide metabolites, such as nicotinamide (NAM) [222]. NAD+ levels are also regulated through conversion to its reduced form NADH and vice versa. A mechanism of recycling NADH to NAD+ that is related to lipid metabolism is the reaction of desaturation of PUFAs catalysed by FADS1 and FADS1 [223], whose expression is high in PCa cells [224].
This ratio can be also influenced by diet. During calorie restriction, NAD+ levels increase and lead to the activation of some sirtuins, while with a HFD, the ratio NAD+/NADH decreases and leads to decreased activity of some sirtuins [225]. However, these dietary interventions seem to affect sirtuins differently in different tissues. No specific studies have explored this issue in prostate tissue or in PCa, but the fact that a HFD is related to PCa progression suggests a possible link between diet, sirtuins, and PCa that merits investigation.
SIRT6 also mediates a link between sirtuins and lipid metabolism. SIRT6 is almost exclusively localized in the chromatin, where it deacetylates H3K9Ac, H3K918Ac, and H3K56Ac, promoting transcriptional silencing [226]. Biologically relevant LCFAs, such as linoleic, oleic, and myristic, have recently been reported to enhance SIRT6 activity by inducing conformational changes that increase the binding affinity with acetylated H3 [227]. Additionally, nitrated FA can activate SIRT6 and promote H3K9Ac deacetylation [228]. Given these findings, we can speculate that SIRT6 may be activated in nutrient conditions where free FAs are increased, for instance, due to diet or fasting. Although regulation at the molecular level of other sirtuins by FAs has not been investigated, several clinical trials have evaluated the effect of dietary FAs on SIRT1 expression and activity [229]. The evidence from these studies is insufficient to understand how lipid consumption modulates sirtuins in humans; however, an appealing hypothesis cites oleic acid as a natural activator of SIRT1.
All together, these data suggest that sirtuins are potential predictive biomarkers and therapeutic targets in PCa. However, how sirtuins can be regulated through manipulating NAD+ levels in PCa requires further investigation in this direction.
5.1.5. Phospholipids, SAM, and Histone Methylation
SAM is a universal methyl donor for all cellular reactions involving a methylation step catalysed by a methyltransferase that transfers a methyl group to a variety of substrates—including proteins, nucleic acids, lipids, and secondary metabolites—and releases the by-product S-adenosylhomocysteine (SAH) [230]. SAM is thus a common cofactor between lipid metabolism, specifically phospholipids, and histone methylation. The methylation of one of the major phospholipids, PtdE, to generate another phospholipid, PtdC, is the major SAM-consuming reaction and compete with DNMTs and HMTs for the use of SAM [231]. Cells deficient in PtdE methylation show increased SAM levels, and as a result, there is an aberrant hypermethylation of histones, indicating the dependence of histone methylation on SAM concentration. Another link between SAM, DNA/histone methylation and phospholipids is that choline, which can be synthesized from PtdC, is oxidized to betaine, which is a key donor of methyl groups to the homocysteine–methionine (HCys–Met) cycle. Perturbations in choline metabolism, which are common in PCa [111] can affect the HCys–Met cycle and thus the levels of SAM and the methylation of DNA and histones.
5.1.6. Nuclear Lipogenic Enzymes
In addition to ACLY, ACSS2 and PDH, FASN can also be found in the nucleus of PCa cells [232]. Although nuclear FASN correlates with Gleason grade, the function of nuclear FASN is unknown. The protein contains an acetyltransferase domain, which is used in the synthesis of FA, and crystal structure has shown a conserved methyltransferase domain, whose function has not yet been demonstrated. Nevertheless, these findings suggest the potential of FASN as an epigenetic regulator through the acetylation and/or methylation of chromatin.
5.2. Impact of Epigenetics on Lipid Metabolism
Epigenetics can remodel cellular metabolism so that the aberrant expression of some lipid metabolism genes in PCa is partly due to epigenetic alterations (Figure 2). This is the case for FASN and ACC, key enzymes in de novo FA synthesis, which are hypomethylated in PCa compared to normal tissue, leading to high gene expression [233]. A potential lipogenic gene affected by DNA methylation is the desaturase SCD1, whose expression is frequently lost in PCa. As the low expression of SCD1 in glioblastoma has been related to DNA hypermethylation [234], it would be interesting to study DNA methylation levels of SCD1 in PCa. Many reports have also shown that the elongase ELOVL2 suffers age-related DNA methylation changes, specifically hypermethylation, which, unlike most age-related DNA methylation changes, are not tissue-specific and thus can occur in prostate [235]. The hypermethylation of ELOVL2 is associated with decreased gene expression and impaired lipid metabolism [236].
Another gene regulated by DNA methylation is the FA transporter CD36, which presents different promoters and distal enhancers that can be hypermethylated in different contexts. Most CD36 DNA methylation data derive from genome-wide studies focused on metabolic diseases such as obesity [237], and only one study focused on cancer reported the correlation of CD36 DNA hypermethylation with progression in lung tumours [238]. Given the key role of CD36 in PCa, further investigation is needed.
Cholesterol metabolism is also influenced by DNA methylation. The loss of cytochrome P450 family 27 subfamily A member 1 (CYP27A1), which catalyses the rate-limiting hydroxylation of cholesterol to bile acid, has been reported to contribute to the dysregulation of cholesterol homeostasis in PCa [239] and to be associated with shorter disease-free survival and higher tumour grade. In the same study, the authors found a negative correlation between CYP27A1 expression and promoter DNA methylation, suggesting that this epigenetic mechanism may be involved in the silencing of CYP27A1 in PCa. ABCA1, the major cellular cholesterol efflux transporter, has also been found hypermethylated in PCa, specifically in intermediate- to high-grade tumours. Remarkably, ABCA1 expression levels are inversely correlated with Gleason grade [240].
Although the expression of many of these genes is controlled by the master transcription factors SREBPs, which are overexpressed in PCa [241], these transcription factors recruit epigenetic factors to enhance gene activation. In hepatocytes, SREBP1 and SREBP2 recruit Brahma-related gene 1 (Brg1), a chromatin remodelling protein, to target gene promoters, such as FASN and ACC, trans-activating their gene expression, and this recruitment parallels concomitant H3 acetylation [242,243]. Consistent with these findings, in PCa cells, Brg1 is recruited to the ELOVL3 promoter by the retinoic acid receptor-related orphan receptor (RORγ) and interacts with the acetyltransferase p300, promoting H3K27Ac to activate ELOVL3 expression [244]. As ELOVL3 can also be activated by SREBP1, it is possible that the same mechanism occurs in prostate cells. It is also possible that lipogenic genes other than ELOVL3 could be targets of Brg1 and p300 in PCa. In fact, FASN is activated by p300, which enhances H3K27Ac [244]. Interestingly, evidence indicates that Brg1 can act as promoter of PCa oncogenesis [245,246], and further research is warranted to better understand the link between Brg1, histone acetylation, and lipid metabolism in PCa, as well as their potential as biomarkers and therapeutic targets.
Another epigenetic mechanism observed in different cancer types, including PCa, that activates genes involved in lipid metabolism occurs specifically under hypoxia, with the acetate-mediated increase in histone acetylation levels. Acetate can function as an epigenetic metabolite that induces H3 acetylation of H3K9, H3K27, and H3K56 at FASN and ACC promoters, which upregulates FASN and ACC expression and increases de novo lipid synthesis to promote tumour cell survival [247].
The repression of some lipid metabolism genes is mediated by HDACs, including sirtuins. Bile acids stimulate the sequential recruitment of HDAC7, 3, and 1, as well as the corepressors silencing mediator of retinoid and thyroid receptors-α (SMRTα) and nuclear receptor corepressor 1 (NCoR1) into the nucleus, forming a repressive complex on the CYP7A1 promoter that leads to its repression [248]. SIRT6 also regulates cholesterol metabolism. Specifically, SIRT6 can be recruited to the SREPB2 promoter, where it deacetylates H3, inhibiting its expression [249]. It is not known if this mechanism is specific to hepatocytes or occurs in other cell types; however, it is indirectly related to PCa as it influences the homeostasis of circulating cholesterol.
6. Concluding Remarks and Future Directions
Numerous studies on lipid metabolism and epigenetics in PCa have improved our understanding of PCa progression and therapy resistance. Importantly, different findings have revealed a bidirectional crosstalk between aberrant lipid metabolism and epigenetics as well as the influence of diet. However, we still do not have a complete picture of these complex connections requiring to be interpreted through a systems biology perspective in order to gain full insight into this matter. For example, what are the specific action and mechanism of the multiple acylation modifications on histones in PCa? Additionally, how can these histone acylation modifications be modulated by diet? There is still a great deal of research to be investigated. With better knowledge there is the possibility of creating better diagnostic testing tools and treatment options. The studies reviewed here pose that alterations of lipid metabolism and epigenetic marks may be established as prognostic and predictive factors; however, well-designed case–control studies and prospective trials are required to evaluate them. There is also a need to clearly define the mechanisms underlying the crosstalk between lipid metabolism and epigenetics in PCa that can be exploited therapeutically. It is time for the exciting opportunity to evaluate the modulation of cancer metabolism, through metabolic, epigenetic, and/or dietary intervention, as a strategy to improve the management of PCa.
Author Contributions
Conceptualization, J.C.P. and M.J.; writing—original draft preparation, J.C.P., V.R.d.P., J.G. and M.J.; writing—review and editing, M.J., J.C.P. and V.R.d.P.; supervision, A.F., M.P.-D. and M.J. All authors have read and agreed to the published version of the manuscript.
Funding
J.C.P. was supported by a ‘Rio Hortega’ research fellowship (CM20/00028) from Instituto de Salud Carlos III (Spain), co-funded by ERDF/ESF, ‘Investing in your future’. This work was supported by a grant from the Spanish Society of Medical Oncology (SEOM) [‘2021 D. Jesús Angel Sánchez Castillo for Research Projects’ grant to J.C.P.]. M.R. is a researcher from IGTP, a member of the CERCA network of institutes supported by the Health Department of the Catalan Government.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created and analysed in this manuscript. Data sharing is not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Siegel R.L., Miller K.D., Fuchs H.E., Jemal A. Cancer Statistics, 2021. CA Cancer J. Clin. 2021;71:7–33. doi: 10.3322/caac.21654. [DOI] [PubMed] [Google Scholar]
- 2.Rawla P. Epidemiology of Prostate Cancer. World J. Oncol. 2019;10:63–89. doi: 10.14740/wjon1191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sandhu S., Moore C.M., Chiong E., Beltran H., Bristow R.G., Williams S.G. Prostate cancer. Lancet. 2021;398:1075–1090. doi: 10.1016/S0140-6736(21)00950-8. [DOI] [PubMed] [Google Scholar]
- 4.Gravis G., Boher J.-M., Chen Y.-H., Liu G., Fizazi K., Carducci M.A., Oudard S., Joly F., Jarrard D.M., Soulie M., et al. Burden of Metastatic Castrate Naive Prostate Cancer Patients, to Identify Men More Likely to Benefit from Early Docetaxel: Further Analyses of CHAARTED and GETUG-AFU15 Studies. Eur. Urol. 2018;73:847–855. doi: 10.1016/j.eururo.2018.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Francini E., Gray K.P., Xie W., Shaw G.K., Valença L., Bernard B., Albiges L., Harshman L.C., Kantoff P.W., Taplin M.-E., et al. Time of metastatic disease presentation and volume of disease are prognostic for metastatic hormone sensitive prostate cancer (mHSPC) Prostate. 2018;78:889–895. doi: 10.1002/pros.23645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Debes J.D., Tindall D.J. The role of androgens and the androgen receptor in prostate cancer. Cancer Lett. 2002;187:1–7. doi: 10.1016/S0304-3835(02)00413-5. [DOI] [PubMed] [Google Scholar]
- 7.Davies A., Conteduca V., Zoubeidi A., Beltran H. Biological Evolution of Castration-resistant Prostate Cancer. Eur. Urol. Focus. 2019;5:147–154. doi: 10.1016/j.euf.2019.01.016. [DOI] [PubMed] [Google Scholar]
- 8.Sartor O., de Bono J.S. Metastatic Prostate Cancer. N. Engl. J. Med. 2018;378:645–657. doi: 10.1056/NEJMra1701695. [DOI] [PubMed] [Google Scholar]
- 9.de Bono J.S., Oudard S., Ozguroglu M., Hansen S., Machiels J.-P., Kocak I., Gravis G., Bodrogi I., Mackenzie M.J., Shen L., et al. Prednisone plus cabazitaxel or mitoxantrone for metastatic castration-resistant prostate cancer progressing after docetaxel treatment: A randomised open-label trial. Lancet. 2010;376:1147–1154. doi: 10.1016/S0140-6736(10)61389-X. [DOI] [PubMed] [Google Scholar]
- 10.de Bono J.S., Logothetis C.J., Molina A., Fizazi K., North S., Chu L., Chi K.N., Jones R.J., Goodman O.B., Saad F., et al. Abiraterone and increased survival in metastatic prostate cancer. N. Engl. J. Med. 2011;364:1995–2005. doi: 10.1056/NEJMoa1014618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ryan C.J., Smith M.R., de Bono J.S., Molina A., Logothetis C.J., de Souza P., Fizazi K., Mainwaring P., Piulats J.M., Ng S., et al. Abiraterone in metastatic prostate cancer without previous chemotherapy. N. Engl. J. Med. 2013;368:138–148. doi: 10.1056/NEJMoa1209096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fizazi K., Tran N., Fein L., Matsubara N., Rodriguez-Antolin A., Alekseev B.Y., Özgüroğlu M., Ye D., Feyerabend S., Protheroe A., et al. Abiraterone plus Prednisone in Metastatic, Castration-Sensitive Prostate Cancer. N. Engl. J. Med. 2017;377:352–360. doi: 10.1056/NEJMoa1704174. [DOI] [PubMed] [Google Scholar]
- 13.Beer T.M., Armstrong A.J., Rathkopf D.E., Loriot Y., Sternberg C.N., Higano C.S., Iversen P., Bhattacharya S., Carles J., Chowdhury S., et al. Enzalutamide in metastatic prostate cancer before chemotherapy. N. Engl. J. Med. 2014;371:424–433. doi: 10.1056/NEJMoa1405095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Davis I.D., Martin A.J., Stockler M.R., Begbie S., Chi K.N., Chowdhury S., Coskinas X., Frydenberg M., Hague W.E., Horvath L.G., et al. Enzalutamide with Standard First-Line Therapy in Metastatic Prostate Cancer. N. Engl. J. Med. 2019;381:121–131. doi: 10.1056/NEJMoa1903835. [DOI] [PubMed] [Google Scholar]
- 15.Scher H.I., Fizazi K., Saad F., Taplin M.-E., Sternberg C.N., Miller K., de Wit R., Mulders P., Chi K.N., Shore N.D., et al. Increased survival with enzalutamide in prostate cancer after chemotherapy. N. Engl. J. Med. 2012;367:1187–1197. doi: 10.1056/NEJMoa1207506. [DOI] [PubMed] [Google Scholar]
- 16.Hussain M., Fizazi K., Saad F., Rathenborg P., Shore N., Ferreira U., Ivashchenko P., Demirhan E., Modelska K., Phung D., et al. Enzalutamide in Men with Nonmetastatic, Castration-Resistant Prostate Cancer. N. Engl. J. Med. 2018;378:2465–2474. doi: 10.1056/NEJMoa1800536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Smith M.R., Saad F., Chowdhury S., Oudard S., Hadaschik B.A., Graff J.N., Olmos D., Mainwaring P.N., Lee J.Y., Uemura H., et al. Apalutamide Treatment and Metastasis-free Survival in Prostate Cancer. N. Engl. J. Med. 2018;378:1408–1418. doi: 10.1056/NEJMoa1715546. [DOI] [PubMed] [Google Scholar]
- 18.Chi K.N., Agarwal N., Bjartell A., Chung B.H., Pereira de Santana Gomes A.J., Given R., Juárez Soto Á., Merseburger A.S., Özgüroğlu M., Uemura H., et al. Apalutamide for Metastatic, Castration-Sensitive Prostate Cancer. N. Engl. J. Med. 2019;381:13–24. doi: 10.1056/NEJMoa1903307. [DOI] [PubMed] [Google Scholar]
- 19.Fizazi K., Shore N., Tammela T.L., Ulys A., Vjaters E., Polyakov S., Jievaltas M., Luz M., Alekseev B., Kuss I., et al. Darolutamide in Nonmetastatic, Castration-Resistant Prostate Cancer. N. Engl. J. Med. 2019;380:1235–1246. doi: 10.1056/NEJMoa1815671. [DOI] [PubMed] [Google Scholar]
- 20.Wang Y., Wang Y., Ci X., Choi S.Y.C., Crea F., Lin D., Wang Y. Molecular events in neuroendocrine prostate cancer development. Nat. Rev. Urol. 2021;18:581–596. doi: 10.1038/s41585-021-00490-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Perry A.S., Watson R.W.G., Lawler M., Hollywood D. The epigenome as a therapeutic target in prostate cancer. Nat. Rev. Urol. 2010;7:668–680. doi: 10.1038/nrurol.2010.185. [DOI] [PubMed] [Google Scholar]
- 22.Feinberg A.P., Ohlsson R., Henikoff S. The epigenetic progenitor origin of human cancer. Nat. Rev. Genet. 2006;7:21–33. doi: 10.1038/nrg1748. [DOI] [PubMed] [Google Scholar]
- 23.Beltran H., Prandi D., Mosquera J.M., Benelli M., Puca L., Cyrta J., Marotz C., Giannopoulou E., Chakravarthi B.V.S.K., Varambally S., et al. Divergent clonal evolution of castration-resistant neuroendocrine prostate cancer. Nat. Med. 2016;22:298–305. doi: 10.1038/nm.4045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Greenberg M.V.C., Bourc’his D. The diverse roles of DNA methylation in mammalian development and disease. Nat. Rev. Mol. Cell Biol. 2019;20:590–607. doi: 10.1038/s41580-019-0159-6. [DOI] [PubMed] [Google Scholar]
- 25.Chen T., Dent S.Y.R. Chromatin modifiers and remodellers: Regulators of cellular differentiation. Nat. Rev. Genet. 2014;15:93–106. doi: 10.1038/nrg3607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Berdasco M., Esteller M. Aberrant epigenetic landscape in cancer: How cellular identity goes awry. Dev. Cell. 2010;19:698–711. doi: 10.1016/j.devcel.2010.10.005. [DOI] [PubMed] [Google Scholar]
- 27.Baylin S.B., Jones P.A. A decade of exploring the cancer epigenome-biological and translational implications. Nat. Rev. Cancer. 2011;11:726–734. doi: 10.1038/nrc3130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Aguilera O., Fernández A.F., Muñoz A., Fraga M.F. Epigenetics and environment: A complex relationship. J. Appl. Physiol. 2010;109:243–251. doi: 10.1152/japplphysiol.00068.2010. [DOI] [PubMed] [Google Scholar]
- 29.Labbé D.P., Zadra G., Ebot E.M., Mucci L.A., Kantoff P.W., Loda M., Brown M. Role of diet in prostate cancer: The epigenetic link. Oncogene. 2015;34:4683–4691. doi: 10.1038/onc.2014.422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Narita S., Tsuchiya N., Saito M., Inoue T., Kumazawa T., Yuasa T., Nakamura A., Habuchi T. Candidate genes involved in enhanced growth of human prostate cancer under high fat feeding identified by microarray analysis. Prostate. 2008;68:321–335. doi: 10.1002/pros.20681. [DOI] [PubMed] [Google Scholar]
- 31.Llaverias G., Danilo C., Wang Y., Witkiewicz A.K., Daumer K., Lisanti M.P., Frank P.G. A Western-type diet accelerates tumor progression in an autochthonous mouse model of prostate cancer. Am. J. Pathol. 2010;177:3180–3191. doi: 10.2353/ajpath.2010.100568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Palmer J., Venkateswaran V., Fleshner N.E., Klotz L.H., Cox M.E. The impact of diet and micronutrient supplements on the expression of neuroendocrine markers in murine Lady transgenic prostate. Prostate. 2008;68:345–353. doi: 10.1002/pros.20692. [DOI] [PubMed] [Google Scholar]
- 33.Ferro M., Terracciano D., Buonerba C., Lucarelli G., Bottero D., Perdonà S., Autorino R., Serino A., Cantiello F., Damiano R., et al. The emerging role of obesity, diet and lipid metabolism in prostate cancer. Futur. Oncol. 2017;13:285–293. doi: 10.2217/fon-2016-0217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Buschemeyer W.C., Freedland S.J. Obesity and prostate cancer: Epidemiology and clinical implications. Eur. Urol. 2007;52:331–343. doi: 10.1016/j.eururo.2007.04.069. [DOI] [PubMed] [Google Scholar]
- 35.Swinnen J.V., Heemers H., van de Sande T., de Schrijver E., Brusselmans K., Heyns W., Verhoeven G. Androgens, lipogenesis and prostate cancer. J. Steroid Biochem. Mol. Biol. 2004;92:273–279. doi: 10.1016/j.jsbmb.2004.10.013. [DOI] [PubMed] [Google Scholar]
- 36.Scaglia N., Frontini-López Y.R., Zadra G. Prostate Cancer Progression: As a Matter of Fats. Front. Oncol. 2021;11 doi: 10.3389/fonc.2021.719865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Pavlova N.N., Thompson C.B. The Emerging Hallmarks of Cancer Metabolism. Cell Metab. 2016;23:27–47. doi: 10.1016/j.cmet.2015.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Muoio D.M. Metabolic inflexibility: When mitochondrial indecision leads to metabolic gridlock. Cell. 2014;159:1253–1262. doi: 10.1016/j.cell.2014.11.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Khan M.A., Zubair H., Anand S., Srivastava S.K., Singh S., Singh A.P. Dysregulation of metabolic enzymes in tumor and stromal cells: Role in oncogenesis and therapeutic opportunities. Cancer Lett. 2020;473:176–185. doi: 10.1016/j.canlet.2020.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hanahan D., Weinberg R.A. Hallmarks of Cancer: The Next Generation. Cell. 2011;144:646–674. doi: 10.1016/j.cell.2011.02.013. [DOI] [PubMed] [Google Scholar]
- 41.Koppenol W.H., Bounds P.L., Dang C.V. Otto Warburg’s contributions to current concepts of cancer metabolism. Nat. Rev. Cancer. 2011;11:325–337. doi: 10.1038/nrc3038. [DOI] [PubMed] [Google Scholar]
- 42.Warburg O., Wind F., Negelein E. The metabolism of tumors in the body. J. Gen. Physiol. 1927;8:519–530. doi: 10.1085/jgp.8.6.519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bader D.A., McGuire S.E. Tumour metabolism and its unique properties in prostate adenocarcinoma. Nat. Rev. Urol. 2020;17:214–231. doi: 10.1038/s41585-020-0288-x. [DOI] [PubMed] [Google Scholar]
- 44.Costello L.C., Franklin R.B. Prostate epithelial cells utilize glucose and aspartate as the carbon sources for net citrate production. Prostate. 1989;15:335–342. doi: 10.1002/pros.2990150406. [DOI] [PubMed] [Google Scholar]
- 45.Uo T., Sprenger C.C., Plymate S.R. Androgen Receptor Signaling and Metabolic and Cellular Plasticity During Progression to Castration Resistant Prostate Cancer. Front. Oncol. 2020;10:580617. doi: 10.3389/fonc.2020.580617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Richter J.A., Rodríguez M., Rioja J., Peñuelas I., Martí-Climent J., Garrastachu P., Quincoces G., Zudaire J., García-Velloso M.J. Dual tracer 11C-choline and FDG-PET in the diagnosis of biochemical prostate cancer relapse after radical treatment. Mol. imaging Biol. 2010;12:210–217. doi: 10.1007/s11307-009-0243-y. [DOI] [PubMed] [Google Scholar]
- 47.Jadvar H., Desai B., Ji L., Conti P.S., Dorff T.B., Groshen S.G., Gross M.E., Pinski J.K., Quinn D.I. Prospective evaluation of 18F-NaF and 18F-FDG PET/CT in detection of occult metastatic disease in biochemical recurrence of prostate cancer. Clin. Nucl. Med. 2012;37:637–643. doi: 10.1097/RLU.0b013e318252d829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Costello L.C., Franklin R.B. A comprehensive review of the role of zinc in normal prostate function and metabolism; and its implications in prostate cancer. Arch. Biochem. Biophys. 2016;611:100–112. doi: 10.1016/j.abb.2016.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Bader D.A., Hartig S.M., Putluri V., Foley C., Hamilton M.P., Smith E.A., Saha P.K., Panigrahi A., Walker C., Zong L., et al. Mitochondrial pyruvate import is a metabolic vulnerability in androgen receptor-driven prostate cancer. Nat. Metab. 2019;1:70–85. doi: 10.1038/s42255-018-0002-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Chetta P., Zadra G. Metabolic reprogramming as an emerging mechanism of resistance to endocrine therapies in prostate cancer. Cancer Drug Resist. 2021 doi: 10.20517/cdr.2020.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Papachristodoulou A., Rodriguez-Calero A., Panja S., Margolskee E., Virk R.K., Milner T.A., Martina L.P., Kim J.Y., Di Bernardo M., Williams A.B., et al. NKX3.1 Localization to Mitochondria Suppresses Prostate Cancer Initiation. Cancer Discov. 2021;11:2316–2333. doi: 10.1158/2159-8290.CD-20-1765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Heemers H.V., Verhoeven G., Swinnen J.V. Androgen Activation of the Sterol Regulatory Element-Binding Protein Pathway: Current Insights. Mol. Endocrinol. 2006;20:2265–2277. doi: 10.1210/me.2005-0479. [DOI] [PubMed] [Google Scholar]
- 53.Li X., Wu J.B., Chung L.W.K., Huang W.-C. Anti-cancer efficacy of SREBP inhibitor, alone or in combination with docetaxel, in prostate cancer harboring p53 mutations. Oncotarget. 2015;6:41018–41032. doi: 10.18632/oncotarget.5879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Porstmann T., Santos C.R., Griffiths B., Cully M., Wu M., Leevers S., Griffiths J.R., Chung Y.-L., Schulze A. SREBP Activity Is Regulated by mTORC1 and Contributes to Akt-Dependent Cell Growth. Cell Metab. 2008;8:224–236. doi: 10.1016/j.cmet.2008.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Chen M., Zhang J., Sampieri K., Clohessy J.G., Mendez L., Gonzalez-Billalabeitia E., Liu X.-S., Lee Y.-R., Fung J., Katon J.M., et al. An aberrant SREBP-dependent lipogenic program promotes metastatic prostate cancer. Nat. Genet. 2018;50:206–218. doi: 10.1038/s41588-017-0027-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Koundouros N., Poulogiannis G. Reprogramming of fatty acid metabolism in cancer. Br. J. Cancer. 2020;122:4–22. doi: 10.1038/s41416-019-0650-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Röhrig F., Schulze A. The multifaceted roles of fatty acid synthesis in cancer. Nat. Rev. Cancer. 2016;16:732–749. doi: 10.1038/nrc.2016.89. [DOI] [PubMed] [Google Scholar]
- 58.Hamada S., Horiguchi A., Kuroda K., Ito K., Asano T., Miyai K., Iwaya K. Increased fatty acid synthase expression in prostate biopsy cores predicts higher Gleason score in radical prostatectomy specimen. BMC Clin. Pathol. 2014;14:3. doi: 10.1186/1472-6890-14-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Fritz V., Benfodda Z., Rodier G., Henriquet C., Iborra F., Avancès C., Allory Y., de la Taille A., Culine S., Blancou H., et al. Abrogation of De novo Lipogenesis by Stearoyl-CoA Desaturase 1 Inhibition Interferes with Oncogenic Signaling and Blocks Prostate Cancer Progression in Mice. Mol. Cancer Ther. 2010;9:1740–1754. doi: 10.1158/1535-7163.MCT-09-1064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Tamura K., Makino A., Hullin-Matsuda F., Kobayashi T., Furihata M., Chung S., Ashida S., Miki T., Fujioka T., Shuin T., et al. Novel Lipogenic Enzyme ELOVL7 Is Involved in Prostate Cancer Growth through Saturated Long-Chain Fatty Acid Metabolism. Cancer Res. 2009;69:8133–8140. doi: 10.1158/0008-5472.CAN-09-0775. [DOI] [PubMed] [Google Scholar]
- 61.Zadra G., Ribeiro C.F., Chetta P., Ho Y., Cacciatore S., Gao X., Syamala S., Bango C., Photopoulos C., Huang Y., et al. Inhibition of de novo lipogenesis targets androgen receptor signaling in castration-resistant prostate cancer. Proc. Natl. Acad. Sci. USA. 2019;116:631–640. doi: 10.1073/pnas.1808834116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Shah S., Carriveau W.J., Li J., Campbell S.L., Kopinski P.K., Lim H.-W., Daurio N., Trefely S., Won K.-J., Wallace D.C., et al. Targeting ACLY sensitizes castration-resistant prostate cancer cells to AR antagonism by impinging on an ACLY-AMPK-AR feedback mechanism. Oncotarget. 2016;7:43713–43730. doi: 10.18632/oncotarget.9666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Matsushita M., Fujita K., Nonomura N. Influence of Diet and Nutrition on Prostate Cancer. Int. J. Mol. Sci. 2020;21:1447. doi: 10.3390/ijms21041447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Tousignant K.D., Rockstroh A., Taherian Fard A., Lehman M.L., Wang C., McPherson S.J., Philp L.K., Bartonicek N., Dinger M.E., Nelson C.C., et al. Lipid Uptake Is an Androgen-Enhanced Lipid Supply Pathway Associated with Prostate Cancer Disease Progression and Bone Metastasis. Mol. Cancer Res. 2019;17:1166–1179. doi: 10.1158/1541-7786.MCR-18-1147. [DOI] [PubMed] [Google Scholar]
- 65.Febbraio M., Hajjar D.P., Silverstein R.L. CD36: A class B scavenger receptor involved in angiogenesis, atherosclerosis, inflammation, and lipid metabolism. J. Clin. Investig. 2001;108:785–791. doi: 10.1172/JCI14006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Pascual G., Domínguez D., Elosúa-Bayes M., Beckedorff F., Laudanna C., Bigas C., Douillet D., Greco C., Symeonidi A., Hernández I., et al. Dietary palmitic acid promotes a prometastatic memory via Schwann cells. Nature. 2021;599:485–490. doi: 10.1038/s41586-021-04075-0. [DOI] [PubMed] [Google Scholar]
- 67.Pascual G., Avgustinova A., Mejetta S., Martín M., Castellanos A., Attolini C.S.-O., Berenguer A., Prats N., Toll A., Hueto J.A., et al. Targeting metastasis-initiating cells through the fatty acid receptor CD36. Nature. 2017;541:41–45. doi: 10.1038/nature20791. [DOI] [PubMed] [Google Scholar]
- 68.Pan J., Fan Z., Wang Z., Dai Q., Xiang Z., Yuan F., Yan M., Zhu Z., Liu B., Li C. CD36 mediates palmitate acid-induced metastasis of gastric cancer via AKT/GSK-3β/β-catenin pathway. J. Exp. Clin. Cancer Res. 2019;38:52. doi: 10.1186/s13046-019-1049-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Watt M.J., Clark A.K., Selth L.A., Haynes V.R., Lister N., Rebello R., Porter L.H., Niranjan B., Whitby S.T., Lo J., et al. Suppressing fatty acid uptake has therapeutic effects in preclinical models of prostate cancer. Sci. Transl. Med. 2019;11 doi: 10.1126/scitranslmed.aau5758. [DOI] [PubMed] [Google Scholar]
- 70.Stremmel W., Strohmeyer G., Borchard F., Kochwa S., Berk P.D. Isolation and partial characterization of a fatty acid binding protein in rat liver plasma membranes. Proc. Natl. Acad. Sci. USA. 1985;82:4–8. doi: 10.1073/pnas.82.1.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Hotamisligil G.S., Bernlohr D.A. Metabolic functions of FABPs—mechanisms and therapeutic implications. Nat. Rev. Endocrinol. 2015;11:592–605. doi: 10.1038/nrendo.2015.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Das R., Hammamieh R., Neill R., Melhem M., Jett M. Expression pattern of fatty acid-binding proteins in human normal and cancer prostate cells and tissues. Clin. Cancer Res. 2001;7:1706–1715. [PubMed] [Google Scholar]
- 73.O’Reilly M.W., House P.J., Tomlinson J.W. Understanding androgen action in adipose tissue. J. Steroid Biochem. Mol. Biol. 2014;143:277–284. doi: 10.1016/j.jsbmb.2014.04.008. [DOI] [PubMed] [Google Scholar]
- 74.Pinthus J.H., Lu J.-P., Bidaisee L.A., Lin H., Bryskine I., Gupta R.S., Singh G. Androgen-dependent regulation of medium and long chain fatty acids uptake in prostate cancer. Prostate. 2007;67:1330–1338. doi: 10.1002/pros.20609. [DOI] [PubMed] [Google Scholar]
- 75.Wajchenberg B.L. Subcutaneous and visceral adipose tissue: Their relation to the metabolic syndrome. Endocr. Rev. 2000;21:697–738. doi: 10.1210/edrv.21.6.0415. [DOI] [PubMed] [Google Scholar]
- 76.Nguyen P.L., Alibhai S.M.H., Basaria S., D’Amico A.V., Kantoff P.W., Keating N.L., Penson D.F., Rosario D.J., Tombal B., Smith M.R. Adverse effects of androgen deprivation therapy and strategies to mitigate them. Eur. Urol. 2015;67:825–836. doi: 10.1016/j.eururo.2014.07.010. [DOI] [PubMed] [Google Scholar]
- 77.Forootan F.S., Forootan S.S., Malki M.I., Chen D., Li G., Lin K., Rudland P.S., Foster C.S., Ke Y. The expression of C-FABP and PPARγ and their prognostic significance in prostate cancer. Int. J. Oncol. 2014;44:265–275. doi: 10.3892/ijo.2013.2166. [DOI] [PubMed] [Google Scholar]
- 78.Adamson J., Morgan E.A., Beesley C., Mei Y., Foster C.S., Fujii H., Rudland P.S., Smith P.H., Ke Y. High-level expression of cutaneous fatty acid-binding protein in prostatic carcinomas and its effect on tumorigenicity. Oncogene. 2003;22:2739–2749. doi: 10.1038/sj.onc.1206341. [DOI] [PubMed] [Google Scholar]
- 79.Carbonetti G., Converso C., Clement T., Wang C., Trotman L.C., Ojima I., Kaczocha M. Docetaxel/cabazitaxel and fatty acid binding protein 5 inhibitors produce synergistic inhibition of prostate cancer growth. Prostate. 2020;80:88–98. doi: 10.1002/pros.23921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Liu Y. Fatty acid oxidation is a dominant bioenergetic pathway in prostate cancer. Prostate Cancer Prostatic Dis. 2006;9:230–234. doi: 10.1038/sj.pcan.4500879. [DOI] [PubMed] [Google Scholar]
- 81.Ma Y., Temkin S.M., Hawkridge A.M., Guo C., Wang W., Wang X.-Y., Fang X. Fatty acid oxidation: An emerging facet of metabolic transformation in cancer. Cancer Lett. 2018;435:92–100. doi: 10.1016/j.canlet.2018.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Ren S., Shao Y., Zhao X., Hong C.S., Wang F., Lu X., Li J., Ye G., Yan M., Zhuang Z., et al. Integration of Metabolomics and Transcriptomics Reveals Major Metabolic Pathways and Potential Biomarker Involved in Prostate Cancer. Mol. Cell. Proteom. 2016;15:154–163. doi: 10.1074/mcp.M115.052381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Schlaepfer I.R., Rider L., Rodrigues L.U., Gijón M.A., Pac C.T., Romero L., Cimic A., Sirintrapun S.J., Glodé L.M., Eckel R.H., et al. Lipid catabolism via CPT1 as a therapeutic target for prostate cancer. Mol. Cancer Ther. 2014;13:2361–2371. doi: 10.1158/1535-7163.MCT-14-0183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Nassar Z.D., Mah C.Y., Dehairs J., Burvenich I.J., Irani S., Centenera M.M., Helm M., Shrestha R.K., Moldovan M., Don A.S., et al. Human DECR1 is an androgen-repressed survival factor that regulates PUFA oxidation to protect prostate tumor cells from ferroptosis. Elife. 2020;9:e54166. doi: 10.7554/eLife.54166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Walther T.C., Farese R.V. Lipid droplets and cellular lipid metabolism. Annu. Rev. Biochem. 2012;81:687–714. doi: 10.1146/annurev-biochem-061009-102430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Bersuker K., Olzmann J.A. Establishing the lipid droplet proteome: Mechanisms of lipid droplet protein targeting and degradation. Biochim. Biophys. Acta. Mol. Cell Biol. Lipids. 2017;1862:1166–1177. doi: 10.1016/j.bbalip.2017.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Petan T., Jarc E., Jusović M. Lipid Droplets in Cancer: Guardians of Fat in a Stressful World. Molecules. 2018;23:1941. doi: 10.3390/molecules23081941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Swinnen J.V., Verhoeven G. Androgens and the control of lipid metabolism in human prostate cancer cells. J. Steroid Biochem. Mol. Biol. 1998;65:191–198. doi: 10.1016/S0960-0760(97)00187-8. [DOI] [PubMed] [Google Scholar]
- 89.Nardi F., Franco O.E., Fitchev P., Morales A., Vickman R.E., Hayward S.W., Crawford S.E. DGAT1 Inhibitor Suppresses Prostate Tumor Growth and Migration by Regulating Intracellular Lipids and Non-Centrosomal MTOC Protein GM130. Sci. Rep. 2019;9:3035. doi: 10.1038/s41598-019-39537-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Smirnova E., Goldberg E.B., Makarova K.S., Lin L., Brown W.J., Jackson C.L. ATGL has a key role in lipid droplet/adiposome degradation in mammalian cells. EMBO Rep. 2006;7:106–113. doi: 10.1038/sj.embor.7400559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Mitra R., Le T.T., Gorjala P., Goodman O.B. Positive regulation of prostate cancer cell growth by lipid droplet forming and processing enzymes DGAT1 and ABHD5. BMC Cancer. 2017;17:631. doi: 10.1186/s12885-017-3589-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Chen G., Zhou G., Aras S., He Z., Lucas S., Podgorski I., Skar W., Granneman J.G., Wang J. Loss of ABHD5 promotes the aggressiveness of prostate cancer cells. Sci. Rep. 2017;7:13021. doi: 10.1038/s41598-017-13398-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Anderson L.A., McTernan P.G., Harte A.L., Barnett A.H., Kumar S. The regulation of HSL and LPL expression by DHT and flutamide in human subcutaneous adipose tissue. Diabetes. Obes. Metab. 2002;4:209–213. doi: 10.1046/j.1463-1326.2002.00214.x. [DOI] [PubMed] [Google Scholar]
- 94.Cai C., Chen S., Ng P., Bubley G.J., Nelson P.S., Mostaghel E.A., Marck B., Matsumoto A.M., Simon N.I., Wang H., et al. Intratumoral De Novo Steroid Synthesis Activates Androgen Receptor in Castration-Resistant Prostate Cancer and Is Upregulated by Treatment with CYP17A1 Inhibitors. Cancer Res. 2011;71:6503–6513. doi: 10.1158/0008-5472.CAN-11-0532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Nomura D.K., Long J.Z., Niessen S., Hoover H.S., Ng S.-W., Cravatt B.F. Monoacylglycerol lipase regulates a fatty acid network that promotes cancer pathogenesis. Cell. 2010;140:49–61. doi: 10.1016/j.cell.2009.11.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Nomura D.K., Lombardi D.P., Chang J.W., Niessen S., Ward A.M., Long J.Z., Hoover H.H., Cravatt B.F. Monoacylglycerol Lipase Exerts Dual Control over Endocannabinoid and Fatty Acid Pathways to Support Prostate Cancer. Chem. Biol. 2011;18:846–856. doi: 10.1016/j.chembiol.2011.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Mostaghel E.A. Steroid hormone synthetic pathways in prostate cancer. Transl. Androl. Urol. 2013;2:212–227. doi: 10.3978/j.issn.2223-4683.2013.09.16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Huang B., Song B., Xu C. Cholesterol metabolism in cancer: Mechanisms and therapeutic opportunities. Nat. Metab. 2020;2:132–141. doi: 10.1038/s42255-020-0174-0. [DOI] [PubMed] [Google Scholar]
- 99.Pelton K., Freeman M.R., Solomon K.R. Cholesterol and prostate cancer. Curr. Opin. Pharmacol. 2012;12:751–759. doi: 10.1016/j.coph.2012.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Caro-Maldonado A., Camacho L., Zabala-Letona A., Torrano V., Fernández-Ruiz S., Zamacola-Bascaran K., Arreal L., Valcárcel-Jiménez L., Martín-Martín N., Flores J.M., et al. Low-dose statin treatment increases prostate cancer aggressiveness. Oncotarget. 2018;9:1494–1504. doi: 10.18632/oncotarget.22217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Goldstein J.L., Brown M.S. The LDL receptor. Arterioscler. Thromb. Vasc. Biol. 2009;29:431–438. doi: 10.1161/ATVBAHA.108.179564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Stopsack K.H., Gerke T.A., Andrén O., Andersson S.-O., Giovannucci E.L., Mucci L.A., Rider J.R. Cholesterol uptake and regulation in high-grade and lethal prostate cancers. Carcinogenesis. 2017;38:806–811. doi: 10.1093/carcin/bgx058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Schörghofer D., Kinslechner K., Preitschopf A., Schütz B., Röhrl C., Hengstschläger M., Stangl H., Mikula M. The HDL receptor SR-BI is associated with human prostate cancer progression and plays a possible role in establishing androgen independence. Reprod. Biol. Endocrinol. 2015;13:88. doi: 10.1186/s12958-015-0087-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Yue S., Li J., Lee S.-Y., Lee H.J., Shao T., Song B., Cheng L., Masterson T.A., Liu X., Ratliff T.L., et al. Cholesteryl ester accumulation induced by PTEN loss and PI3K/AKT activation underlies human prostate cancer aggressiveness. Cell Metab. 2014;19:393–406. doi: 10.1016/j.cmet.2014.01.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Marín-Aguilera M., Pereira M.V., Jiménez N., Reig Ò., Cuartero A., Victoria I., Aversa C., Ferrer-Mileo L., Prat A., Mellado B. Glutamine and Cholesterol Plasma Levels and Clinical Outcomes of Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Taxanes. Cancers. 2021;13:4960. doi: 10.3390/cancers13194960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Tarling E.J., de Aguiar Vallim T.Q., Edwards P.A. Role of ABC transporters in lipid transport and human disease. Trends Endocrinol. Metab. 2013;24:342–350. doi: 10.1016/j.tem.2013.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Moon S.-H., Huang C.-H., Houlihan S.L., Regunath K., Freed-Pastor W.A., Morris J.P., Tschaharganeh D.F., Kastenhuber E.R., Barsotti A.M., Culp-Hill R., et al. p53 Represses the Mevalonate Pathway to Mediate Tumor Suppression. Cell. 2019;176:564–580.e19. doi: 10.1016/j.cell.2018.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Wang B., Tontonoz P. Phospholipid Remodeling in Physiology and Disease. Annu. Rev. Physiol. 2019;81:165–188. doi: 10.1146/annurev-physiol-020518-114444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Swinnen J.V., Van Veldhoven P.P., Timmermans L., De Schrijver E., Brusselmans K., Vanderhoydonc F., Van de Sande T., Heemers H., Heyns W., Verhoeven G. Fatty acid synthase drives the synthesis of phospholipids partitioning into detergent-resistant membrane microdomains. Biochem. Biophys. Res. Commun. 2003;302:898–903. doi: 10.1016/S0006-291X(03)00265-1. [DOI] [PubMed] [Google Scholar]
- 110.Glunde K., Bhujwalla Z.M., Ronen S.M. Choline metabolism in malignant transformation. Nat. Rev. Cancer. 2011;11:835–848. doi: 10.1038/nrc3162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Awwad H.M., Geisel J., Obeid R. The role of choline in prostate cancer. Clin. Biochem. 2012;45:1548–1553. doi: 10.1016/j.clinbiochem.2012.08.012. [DOI] [PubMed] [Google Scholar]
- 112.Fuccio C., Schiavina R., Castellucci P., Rubello D., Martorana G., Celli M., Malizia C., Profitos M.B., Marzola M.C., Pettinato V., et al. Androgen deprivation therapy influences the uptake of 11C-choline in patients with recurrent prostate cancer: The preliminary results of a sequential PET/CT study. Eur. J. Nucl. Med. Mol. Imaging. 2011;38:1985–1989. doi: 10.1007/s00259-011-1867-0. [DOI] [PubMed] [Google Scholar]
- 113.von Eyben F.E., Kairemo K. Meta-analysis of (11)C-choline and (18)F-choline PET/CT for management of patients with prostate cancer. Nucl. Med. Commun. 2014;35:221–230. doi: 10.1097/MNM.0000000000000040. [DOI] [PubMed] [Google Scholar]
- 114.Kennedy E.P., Weiss S.B. The function of cytidine coenzymes in the biosynthesis of phospholipides. J. Biol. Chem. 1956;222:193–214. doi: 10.1016/S0021-9258(19)50785-2. [DOI] [PubMed] [Google Scholar]
- 115.Ramírez de Molina A., Rodríguez-González A., Gutiérrez R., Martínez-Piñeiro L., Sánchez J., Bonilla F., Rosell R., Lacal J. Overexpression of choline kinase is a frequent feature in human tumor-derived cell lines and in lung, prostate, and colorectal human cancers. Biochem. Biophys. Res. Commun. 2002;296:580–583. doi: 10.1016/S0006-291X(02)00920-8. [DOI] [PubMed] [Google Scholar]
- 116.Hemdan T., Turker P., Malmström P.-U., Segersten U. Choline-phosphate cytidylyltransferase-α as a possible predictor of survival and response to cisplatin neoadjuvant chemotherapy in urothelial cancer of the bladder. Scand. J. Urol. 2018;52:200–205. doi: 10.1080/21681805.2018.1439527. [DOI] [PubMed] [Google Scholar]
- 117.Jia M., Andreassen T., Jensen L., Bathen T.F., Sinha I., Gao H., Zhao C., Haldosen L.-A., Cao Y., Girnita L., et al. Estrogen Receptor α Promotes Breast Cancer by Reprogramming Choline Metabolism. Cancer Res. 2016;76:5634–5646. doi: 10.1158/0008-5472.CAN-15-2910. [DOI] [PubMed] [Google Scholar]
- 118.Wen S., He Y., Wang L., Zhang J., Quan C., Niu Y., Huang H. Aberrant activation of super enhancer and choline metabolism drive antiandrogen therapy resistance in prostate cancer. Oncogene. 2020;39:6556–6571. doi: 10.1038/s41388-020-01456-z. [DOI] [PubMed] [Google Scholar]
- 119.Raittinen P.V.H., Syvälä H., Tammela T.L.J., Häkkinen M.R., Ilmonen P., Auriola S., Murtola T.J. Atorvastatin induces adrenal androgen downshift in men with prostate cancer: A post Hoc analysis of a pilot adaptive Randomised clinical trial. EBioMedicine. 2021;68:103432. doi: 10.1016/j.ebiom.2021.103432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Jeong I.G., Lim B., Yun S.-C., Lim J.H., Hong J.H., Kim C.-S. Adjuvant Low-dose Statin Use after Radical Prostatectomy: The PRO-STAT Randomized Clinical Trial. Clin. Cancer Res. 2021;27:5004–5011. doi: 10.1158/1078-0432.CCR-21-0480. [DOI] [PubMed] [Google Scholar]
- 121.Longo J., Hamilton R.J., Masoomian M., Khurram N., Branchard E., Mullen P.J., Elbaz M., Hersey K., Chadwick D., Ghai S., et al. A pilot window-of-opportunity study of preoperative fluvastatin in localized prostate cancer. Prostate Cancer Prostatic Dis. 2020;23:630–637. doi: 10.1038/s41391-020-0221-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Falchook G., Infante J., Arkenau H.-T., Patel M.R., 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: 10.1016/j.eclinm.2021.100797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Ct W., Morris J.R. Genes, genetics, and epigenetics: A correspondence. Science. 2001;293:1103–1105. doi: 10.1126/science.293.5532.1103. [DOI] [PubMed] [Google Scholar]
- 124.Bannister A.J., Kouzarides T. Regulation of chromatin by histone modifications. Cell Res. 2011;21:381–395. doi: 10.1038/cr.2011.22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Holoch D., Moazed D. RNA-mediated epigenetic regulation of gene expression. Nat. Rev. Genet. 2015;16:71–84. doi: 10.1038/nrg3863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Längst G., Manelyte L. Chromatin Remodelers: From Function to Dysfunction. Genes. 2015;6:299–324. doi: 10.3390/genes6020299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Allis C.D., Jenuwein T. The molecular hallmarks of epigenetic control. Nat. Rev. Genet. 2016;17:487–500. doi: 10.1038/nrg.2016.59. [DOI] [PubMed] [Google Scholar]
- 128.Feinberg A.P., Koldobskiy M.A., Göndör A. Epigenetic modulators, modifiers and mediators in cancer aetiology and progression. Nat. Rev. Genet. 2016;17:284–299. doi: 10.1038/nrg.2016.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Kukkonen K., Taavitsainen S., Huhtala L., Uusi-Makela J., Granberg K.J., Nykter M., Urbanucci A. Chromatin and Epigenetic Dysregulation of Prostate Cancer Development, Progression, and Therapeutic Response. Cancers. 2021;13:3325. doi: 10.3390/cancers13133325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Yegnasubramanian S., De Marzo A.M., Nelson W.G. Prostate Cancer Epigenetics: From Basic Mechanisms to Clinical Implications. Cold Spring Harb. Perspect. Med. 2019;9:a030445. doi: 10.1101/cshperspect.a030445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Nelson W.G., De Marzo A.M., Yegnasubramanian S. Minireview: Epigenetic Alterations in Human Prostate Cancers. Endocrinology. 2009;150:3991–4002. doi: 10.1210/en.2009-0573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Davies A., Zoubeidi A., Selth L.A. The epigenetic and transcriptional landscape of neuroendocrine prostate cancer. Endocr. Relat. Cancer. 2020;27:R35–R50. doi: 10.1530/ERC-19-0420. [DOI] [PubMed] [Google Scholar]
- 133.Beltran H., Rickman D.S., Park K., Chae S.S., Sboner A., MacDonald T.Y., Wang Y., Sheikh K.L., Terry S., Tagawa S.T., et al. Molecular characterization of neuroendocrine prostate cancer and identification of new drug targets. Cancer Discov. 2011;1:487–495. doi: 10.1158/2159-8290.CD-11-0130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Zhang Y., Zheng D., Zhou T., Song H., Hulsurkar M., Su N., Liu Y., Wang Z., Shao L., Ittmann M., et al. Androgen deprivation promotes neuroendocrine differentiation and angiogenesis through CREB-EZH2-TSP1 pathway in prostate cancers. Nat. Commun. 2018;9:4080. doi: 10.1038/s41467-018-06177-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Shan J., Al-Muftah M.A., Al-Kowari M.K., Abuaqel S.W.J., Al-Rumaihi K., Al-Bozom I., Li P., Chouchane L. Targeting Wnt/EZH2/microRNA-708 signaling pathway inhibits neuroendocrine differentiation in prostate cancer. Cell Death Discov. 2019;5:139. doi: 10.1038/s41420-019-0218-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Bird A. DNA methylation patterns and epigenetic memory. Genes Dev. 2002;16:6–21. doi: 10.1101/gad.947102. [DOI] [PubMed] [Google Scholar]
- 137.Smith Z.D., Meissner A. DNA methylation: Roles in mammalian development. Nat. Rev. Genet. 2013;14:204–220. doi: 10.1038/nrg3354. [DOI] [PubMed] [Google Scholar]
- 138.Baubec T., Schubeler D. Genomic patterns and context specific interpretation of DNA methylation. Curr. Opin. Genet. Dev. 2014;25:85–92. doi: 10.1016/j.gde.2013.11.015. [DOI] [PubMed] [Google Scholar]
- 139.Locke W.J., Guanzon D., Ma C., Liew Y.J., Duesing K.R., Fung K.Y.C., Ross J.P. DNA Methylation Cancer Biomarkers: Translation to the Clinic. Front. Genet. 2019;10:1150. doi: 10.3389/fgene.2019.01150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Bhasin J.M., Lee B.H., Matkin L., Taylor M.G., Hu B., Xu Y., Magi-Galluzzi C., Klein E.A., Ting A.H. Methylome-wide Sequencing Detects DNA Hypermethylation Distinguishing Indolent from Aggressive Prostate Cancer. Cell Rep. 2015;13:2135–2146. doi: 10.1016/j.celrep.2015.10.078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Kim J.H., Dhanasekaran S.M., Prensner J.R., Cao X., Robinson D., Kalyana-Sundaram S., Huang C., Shankar S., Jing X., Iyer M., et al. Deep sequencing reveals distinct patterns of DNA methylation in prostate cancer. Genome Res. 2011;21:1028–1041. doi: 10.1101/gr.119347.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Zhao S.G., Chen W.S., Li H., Foye A., Zhang M., Sjöström M., Aggarwal R., Playdle D., Liao A., Alumkal J.J., et al. The DNA methylation landscape of advanced prostate cancer. Nat. Genet. 2020;52:778–789. doi: 10.1038/s41588-020-0648-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Abeshouse A., Ahn J., Akbani R., Ally A., Amin S., Andry C.D., Annala M., Aprikian A., Armenia J., Arora A., et al. The Molecular Taxonomy of Primary Prostate Cancer. Cell. 2015;163:1011–1025. doi: 10.1016/j.cell.2015.10.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Graça I., Pereira-Silva E., Henrique R., Packham G., Crabb S.J., Jerónimo C. Epigenetic modulators as therapeutic targets in prostate cancer. Clin. Epigenetics. 2016;8:98. doi: 10.1186/s13148-016-0264-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Jerónimo C., Bastian P.J., Bjartell A., Carbone G.M., Catto J.W.F., Clark S.J., Henrique R., Nelson W.G., Shariat S.F. Epigenetics in Prostate Cancer: Biologic and Clinical Relevance. Eur. Urol. 2011;60:753–766. doi: 10.1016/j.eururo.2011.06.035. [DOI] [PubMed] [Google Scholar]
- 146.McKee T.C., Tricoli J.V. Epigenetics of Prostate Cancer. In: Verma M., editor. Cancer Epigenetics. Volume 1238. Springer; New York, NY, USA: 2015. pp. 217–234. Methods in Molecular Biology. [DOI] [PubMed] [Google Scholar]
- 147.Sugiura M., Sato H., Kanesaka M., Imamura Y., Sakamoto S., Ichikawa T., Kaneda A. Epigenetic modifications in prostate cancer. Int. J. Urol. 2021;28:140–149. doi: 10.1111/iju.14406. [DOI] [PubMed] [Google Scholar]
- 148.Nakayama T., Watanabe M., Suzuki H., Toyota M., Sekita N., Hirokawa Y., Mizokami A., Ito H., Yatani R., Shiraishi T. Epigenetic Regulation of Androgen Receptor Gene Expression in Human Prostate Cancers. Lab. Investig. 2000;80:1789–1796. doi: 10.1038/labinvest.3780190. [DOI] [PubMed] [Google Scholar]
- 149.Buj R., Mallona I., Díez-Villanueva A., Barrera V., Mauricio D., Puig-Domingo M., Reverter J.L., Matias-Guiu X., Azuara D., Ramírez J.L., et al. Quantification of Unmethylated Alu (QUAlu): A tool to assess global hypomethylation in routine clinical samples. Oncotarget. 2016;7:10536–10546. doi: 10.18632/oncotarget.7233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Schulz W.A., Elo J.P., Florl A.R., Pennanen S., Santourlidis S., Engers R., Buchardt M., Seifert H.-H., Visakorpi T. Genomewide DNA hypomethylation is associated with alterations on chromosome 8 in prostate carcinoma. Genes Chromosom. Cancer. 2002;35:58–65. doi: 10.1002/gcc.10092. [DOI] [PubMed] [Google Scholar]
- 151.Zelic R., Fiano V., Grasso C., Zugna D., Pettersson A., Gillio-Tos A., Merletti F., Richiardi L. Global DNA hypomethylation in prostate cancer development and progression: A systematic review. Prostate Cancer Prostatic Dis. 2015;18:1–12. doi: 10.1038/pcan.2014.45. [DOI] [PubMed] [Google Scholar]
- 152.Bedford M.T., van Helden P.D. Hypomethylation of DNA in pathological conditions of the human prostate. Cancer Res. 1987;47:5274–5276. [PubMed] [Google Scholar]
- 153.Stewart D.J., Issa J.-P., Kurzrock R., Nunez M.I., Jelinek J., Hong D., Oki Y., Guo Z., Gupta S., Wistuba I.I. Decitabine Effect on Tumor Global DNA Methylation and Other Parameters in a Phase I Trial in Refractory Solid Tumors and Lymphomas. Clin. Cancer Res. 2009;15:3881–3888. doi: 10.1158/1078-0432.CCR-08-2196. [DOI] [PubMed] [Google Scholar]
- 154.Perry A.S., Foley R., Woodson K., Lawler M. The emerging roles of DNA methylation in the clinical management of prostate cancer. Endocr. Relat. Cancer. 2006;13:357–377. doi: 10.1677/erc.1.01184. [DOI] [PubMed] [Google Scholar]
- 155.Pulukuri S.M.K., Rao J.S. Activation of p53/p21Waf1/Cip1 pathway by 5-aza-2’-deoxycytidine inhibits cell proliferation, induces pro-apoptotic genes and mitogen-activated protein kinases in human prostate cancer cells. Int. J. Oncol. 2005;26:863–871. doi: 10.3892/ijo.26.4.863. [DOI] [PubMed] [Google Scholar]
- 156.Festuccia C., Gravina G.L., D’Alessandro A.M., Millimaggi D., Di Rocco C., Dolo V., Ricevuto E., Vicentini C., Bologna M. Downmodulation of dimethyl transferase activity enhances tumor necrosis factor-related apoptosis-inducing ligand-induced apoptosis in prostate cancer cells. Int. J. Oncol. 2008;33:381–388. doi: 10.3892/ijo_00000019. [DOI] [PubMed] [Google Scholar]
- 157.Strahl B.D., Allis C.D. The language of covalent histone modifications. Nature. 2000;403:41–45. doi: 10.1038/47412. [DOI] [PubMed] [Google Scholar]
- 158.Chervona Y., Costa M. Histone modifications and cancer: Biomarkers of prognosis? Am. J. Cancer Res. 2012;2:589–597. [PMC free article] [PubMed] [Google Scholar]
- 159.Bianco-Miotto T., Chiam K., Buchanan G., Jindal S., Day T.K., Thomas M., Pickering M.A., O’Loughlin M.A., Ryan N.K., Raymond W.A., et al. Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development. Cancer Epidemiol. Biomarkers Prev. 2010;19:2611–2622. doi: 10.1158/1055-9965.EPI-10-0555. [DOI] [PubMed] [Google Scholar]
- 160.Ellinger J., Kahl P., von der Gathen J., Rogenhofer S., Heukamp L.C., Gütgemann I., Walter B., Hofstädter F., Büttner R., Müller S.C., et al. Global levels of histone modifications predict prostate cancer recurrence. Prostate. 2010;70:61–69. doi: 10.1002/pros.21038. [DOI] [PubMed] [Google Scholar]
- 161.Behbahani T.E., Kahl P., von der Gathen J., Heukamp L.C., Baumann C., Gütgemann I., Walter B., Hofstädter F., Bastian P.J., von Ruecker A., et al. Alterations of global histone H4K20 methylation during prostate carcinogenesis. BMC Urol. 2012;12:5. doi: 10.1186/1471-2490-12-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Ellinger J., Kahl P., von der Gathen J., Heukamp L.C., Gütgemann I., Walter B., Hofstädter F., Bastian P.J., von Ruecker A., Müller S.C., et al. Global Histone H3K27 Methylation Levels are Different in Localized and Metastatic Prostate Cancer. Cancer Invest. 2012;30:92–97. doi: 10.3109/07357907.2011.636117. [DOI] [PubMed] [Google Scholar]
- 163.Ngollo M., Lebert A., Daures M., Judes G., Rifai K., Dubois L., Kemeny J.-L., Penault-Llorca F., Bignon Y.-J., Guy L., et al. Global analysis of H3K27me3 as an epigenetic marker in prostate cancer progression. BMC Cancer. 2017;17:261. doi: 10.1186/s12885-017-3256-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Ruggero K., Farran-Matas S., Martinez-Tebar A., Aytes A. Epigenetic Regulation in Prostate Cancer Progression. Curr. Mol. Biol. Rep. 2018;4:101–115. doi: 10.1007/s40610-018-0095-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Weichert W., Röske A., Gekeler V., Beckers T., Stephan C., Jung K., Fritzsche F.R., Niesporek S., Denkert C., Dietel M., et al. Histone deacetylases 1, 2 and 3 are highly expressed in prostate cancer and HDAC2 expression is associated with shorter PSA relapse time after radical prostatectomy. Br. J. Cancer. 2008;98:604–610. doi: 10.1038/sj.bjc.6604199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Korkmaz C., Fronsdal K., Zhang Y., Lorenzo P., Saatcioglu F. Potentiation of androgen receptor transcriptional activity by inhibition of histone deacetylation--rescue of transcriptionally compromised mutants. J. Endocrinol. 2004;182:377–389. doi: 10.1677/joe.0.1820377. [DOI] [PubMed] [Google Scholar]
- 167.Kim K.H., Roberts C.W.M. Targeting EZH2 in cancer. Nat. Med. 2016;22:128–134. doi: 10.1038/nm.4036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Varambally S., Dhanasekaran S.M., Zhou M., Barrette T.R., Kumar-Sinha C., Sanda M.G., Ghosh D., Pienta K.J., Sewalt R.G.A.B., Otte A.P., et al. The polycomb group protein EZH2 is involved in progression of prostate cancer. Nature. 2002;419:624–629. doi: 10.1038/nature01075. [DOI] [PubMed] [Google Scholar]
- 169.Wang Q., Carroll J.S., Brown M. Spatial and Temporal Recruitment of Androgen Receptor and Its Coactivators Involves Chromosomal Looping and Polymerase Tracking. Mol. Cell. 2005;19:631–642. doi: 10.1016/j.molcel.2005.07.018. [DOI] [PubMed] [Google Scholar]
- 170.Wissmann M., Yin N., Müller J.M., Greschik H., Fodor B.D., Jenuwein T., Vogler C., Schneider R., Günther T., Buettner R., et al. Cooperative demethylation by JMJD2C and LSD1 promotes androgen receptor-dependent gene expression. Nat. Cell Biol. 2007;9:347–353. doi: 10.1038/ncb1546. [DOI] [PubMed] [Google Scholar]
- 171.Keto C.J., Aronson W.J., Terris M.K., Presti J.C., Kane C.J., Amling C.L., Freedland S.J. Obesity is associated with castration-resistant disease and metastasis in men treated with androgen deprivation therapy after radical prostatectomy: Results from the SEARCH database. BJU Int. 2012;110:492–498. doi: 10.1111/j.1464-410X.2011.10754.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Discacciati A., Orsini N., Wolk A. Body mass index and incidence of localized and advanced prostate cancer—a dose–response meta-analysis of prospective studies. Ann. Oncol. 2012;23:1665–1671. doi: 10.1093/annonc/mdr603. [DOI] [PubMed] [Google Scholar]
- 173.Cao Y., Ma J. Body Mass Index, Prostate Cancer–Specific Mortality, and Biochemical Recurrence: A Systematic Review and Meta-analysis. Cancer Prev. Res. 2011;4:486–501. doi: 10.1158/1940-6207.CAPR-10-0229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Von Hafe P., Pina F., Pérez A., Tavares M., Barros H. Visceral Fat Accumulation as a Risk Factor for Prostate Cancer. Obes. Res. 2004;12:1930–1935. doi: 10.1038/oby.2004.242. [DOI] [PubMed] [Google Scholar]
- 175.Di Sebastiano K., Mourtzakis M. The Role of Dietary Fat throughout the Prostate Cancer Trajectory. Nutrients. 2014;6:6095–6109. doi: 10.3390/nu6126095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Giovannucci E., Rimm E.B., Colditz G.A., Stampfer M.J., Ascherio A., Chute C.C., Willett W.C. A Prospective Study of Dietary Fat and Risk of Prostate Cancer. JNCI J. Natl. Cancer Inst. 1993;85:1571–1579. doi: 10.1093/jnci/85.19.1571. [DOI] [PubMed] [Google Scholar]
- 177.Ma R.W.-L., Chapman K. A systematic review of the effect of diet in prostate cancer prevention and treatment. J. Hum. Nutr. Diet. 2009;22:187–199. doi: 10.1111/j.1365-277X.2009.00946.x. [DOI] [PubMed] [Google Scholar]
- 178.Gathirua-Mwangi W.G., Zhang J. Dietary factors and risk for advanced prostate cancer. Eur. J. Cancer Prev. 2014;23:96–109. doi: 10.1097/CEJ.0b013e3283647394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Bairati I., Meyer F., Fradet Y., Moore L. Dietary fat and advanced prostate cancer. J. Urol. 1998;159:1271–1275. doi: 10.1016/S0022-5347(01)63579-1. [DOI] [PubMed] [Google Scholar]
- 180.Richman E.L., Kenfield S.A., Chavarro J.E., Stampfer M.J., Giovannucci E.L., Willett W.C., Chan J.M. Fat Intake After Diagnosis and Risk of Lethal Prostate Cancer and All-Cause Mortality. JAMA Intern. Med. 2013;173:1318. doi: 10.1001/jamainternmed.2013.6536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Oczkowski M., Dziendzikowska K., Pasternak-Winiarska A., Włodarek D., Gromadzka-Ostrowska J. Dietary Factors and Prostate Cancer Development, Progression, and Reduction. Nutrients. 2021;13:496. doi: 10.3390/nu13020496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Narita S., Nara T., Sato H., Koizumi A., Huang M., Inoue T., Habuchi T. Research Evidence on High-Fat Diet-Induced Prostate Cancer Development and Progression. J. Clin. Med. 2019;8:597. doi: 10.3390/jcm8050597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Huang M., Koizumi A., Narita S., Inoue T., Tsuchiya N., Nakanishi H., Numakura K., Tsuruta H., Saito M., Satoh S., et al. Diet-induced alteration of fatty acid synthase in prostate cancer progression. Oncogenesis. 2016;5:e195. doi: 10.1038/oncsis.2015.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Labbé D.P., Zadra G., Yang M., Reyes J.M., Lin C.Y., Cacciatore S., Ebot E.M., Creech A.L., Giunchi F., Fiorentino M., et al. High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program. Nat. Commun. 2019;10:4358. doi: 10.1038/s41467-019-12298-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Etchegaray J.-P., Mostoslavsky R. Interplay between Metabolism and Epigenetics: A Nuclear Adaptation to Environmental Changes. Mol. Cell. 2016;62:695–711. doi: 10.1016/j.molcel.2016.05.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Izzo L.T., Affronti H.C., Wellen K.E. The Bidirectional Relationship Between Cancer Epigenetics and Metabolism. Annu. Rev. Cancer Biol. 2021;5:235–257. doi: 10.1146/annurev-cancerbio-070820-035832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187.Ye C., Tu B.P. Sink into the Epigenome: Histones as Repositories That Influence Cellular Metabolism. Trends Endocrinol. Metab. 2018;29:626–637. doi: 10.1016/j.tem.2018.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Shi L., Tu B.P. Acetyl-CoA and the regulation of metabolism: Mechanisms and consequences. Curr. Opin. Cell Biol. 2015;33:125–131. doi: 10.1016/j.ceb.2015.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Verdone L. Histone acetylation in gene regulation. Brief. Funct. Genom. Proteom. 2006;5:209–221. doi: 10.1093/bfgp/ell028. [DOI] [PubMed] [Google Scholar]
- 190.Cai L., Sutter B.M., Li B., Tu B.P. Acetyl-CoA induces cell growth and proliferation by promoting the acetylation of histones at growth genes. Mol. Cell. 2011;42:426–437. doi: 10.1016/j.molcel.2011.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Takahashi H., McCaffery J.M., Irizarry R.A., Boeke J.D. Nucleocytosolic Acetyl-Coenzyme A Synthetase Is Required for Histone Acetylation and Global Transcription. Mol. Cell. 2006;23:207–217. doi: 10.1016/j.molcel.2006.05.040. [DOI] [PubMed] [Google Scholar]
- 192.Wellen K.E., Hatzivassiliou G., Sachdeva U.M., Bui T.V., Cross J.R., Thompson C.B. ATP-Citrate Lyase Links Cellular Metabolism to Histone Acetylation. Science. 2009;324:1076–1080. doi: 10.1126/science.1164097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Lee J.V., Carrer A., Shah S., Snyder N.W., Wei S., Venneti S., Worth A.J., Yuan Z.-F., Lim H.-W., Liu S., et al. Akt-Dependent Metabolic Reprogramming Regulates Tumor Cell Histone Acetylation. Cell Metab. 2014;20:306–319. doi: 10.1016/j.cmet.2014.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Henry R.A., Kuo Y.-M., Bhattacharjee V., Yen T.J., Andrews A.J. Changing the Selectivity of p300 by Acetyl-CoA Modulation of Histone Acetylation. ACS Chem. Biol. 2015;10:146–156. doi: 10.1021/cb500726b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Sivanand S., Viney I., Wellen K.E. Spatiotemporal Control of Acetyl-CoA Metabolism in Chromatin Regulation. Trends Biochem. Sci. 2018;43:61–74. doi: 10.1016/j.tibs.2017.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Chen J., Guccini I., Di Mitri D., Brina D., Revandkar A., Sarti M., Pasquini E., Alajati A., Pinton S., Losa M., et al. Compartmentalized activities of the pyruvate dehydrogenase complex sustain lipogenesis in prostate cancer. Nat. Genet. 2018;50:219–228. doi: 10.1038/s41588-017-0026-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Chen C.-L., Hsu S.-C., Chung T.-Y., Chu C.-Y., Wang H.-J., Hsiao P.-W., Yeh S.-D., Ann D.K., Yen Y., Kung H.-J. Arginine is an epigenetic regulator targeting TEAD4 to modulate OXPHOS in prostate cancer cells. Nat. Commun. 2021;12:2398. doi: 10.1038/s41467-021-22652-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Wellen K.E., Snyder N.W. Should we consider subcellular compartmentalization of metabolites, and if so, how do we measure them? Curr. Opin. Clin. Nutr. Metab. Care. 2019;22:347–354. doi: 10.1097/MCO.0000000000000580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Berndsen C.E., Denu J.M. Assays for mechanistic investigations of protein/histone acetyltransferases. Methods. 2005;36:321–331. doi: 10.1016/j.ymeth.2005.03.002. [DOI] [PubMed] [Google Scholar]
- 200.Dillon B.J., Prieto V.G., Curley S.A., Ensor C.M., Holtsberg F.W., Bomalaski J.S., Clark M.A. Incidence and distribution of argininosuccinate synthetase deficiency in human cancers. Cancer. 2004;100:826–833. doi: 10.1002/cncr.20057. [DOI] [PubMed] [Google Scholar]
- 201.Xu Q., Liu X., Zhu S., Hu X., Niu H., Zhang X., Zhu D., Nesa E.U., Tian K., Yuan H. Hyper-acetylation contributes to the sensitivity of chemo-resistant prostate cancer cells to histone deacetylase inhibitor Trichostatin A. J. Cell. Mol. Med. 2018;22:1909–1922. doi: 10.1111/jcmm.13475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Tan M., Luo H., Lee S., Jin F., Yang J.S., Montellier E., Buchou T., Cheng Z., Rousseaux S., Rajagopal N., et al. Identification of 67 Histone Marks and Histone Lysine Crotonylation as a New Type of Histone Modification. Cell. 2011;146:1016–1028. doi: 10.1016/j.cell.2011.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Sabari B.R., Zhang D., Allis C.D., Zhao Y. Metabolic regulation of gene expression through histone acylations. Nat. Rev. Mol. Cell Biol. 2017;18:90–101. doi: 10.1038/nrm.2016.140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Jo C., Park S., Oh S., Choi J., Kim E.-K., Youn H.-D., Cho E.-J. Histone acylation marks respond to metabolic perturbations and enable cellular adaptation. Exp. Mol. Med. 2020;52:2005–2019. doi: 10.1038/s12276-020-00539-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205.Koh A., De Vadder F., Kovatcheva-Datchary P., Bäckhed F. From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites. Cell. 2016;165:1332–1345. doi: 10.1016/j.cell.2016.05.041. [DOI] [PubMed] [Google Scholar]
- 206.Xie Z., Zhang D., Chung D., Tang Z., Huang H., Dai L., Qi S., Li J., Colak G., Chen Y., et al. Metabolic Regulation of Gene Expression by Histone Lysine β-Hydroxybutyrylation. Mol. Cell. 2016;62:194–206. doi: 10.1016/j.molcel.2016.03.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.Sabari B.R., Tang Z., Huang H., Yong-Gonzalez V., Molina H., Kong H.E., Dai L., Shimada M., Cross J.R., Zhao Y., et al. Intracellular Crotonyl-CoA Stimulates Transcription through p300-Catalyzed Histone Crotonylation. Mol. Cell. 2015;58:203–215. doi: 10.1016/j.molcel.2015.02.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.Xu X., Zhu X., Liu F., Lu W., Wang Y., Yu J. The effects of histone crotonylation and bromodomain protein 4 on prostate cancer cell lines. Transl. Androl. Urol. 2021;10:900–914. doi: 10.21037/tau-21-53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Suenaga M., Soda H., Oka M., Yamaguchi A., Nakatomi K., Shiozawa K., Kawabata S., Kasai T., Yamada Y., Kamihira S., et al. Histone deacetylase inhibitors suppress telomerase reverse transcriptase mRNA expression in prostate cancer cells. Int. J. cancer. 2002;97:621–625. doi: 10.1002/ijc.10082. [DOI] [PubMed] [Google Scholar]
- 210.Kim J., Park H., Im J.Y., Choi W.S., Kim H.S. Sodium butyrate regulates androgen receptor expression and cell cycle arrest in human prostate cancer cells. Anticancer Res. 2007;27:3285–3292. [PubMed] [Google Scholar]
- 211.Maier S., Reich E., Martin R., Bachem M., Altug V., Hautmann R.E., Gschwend J.E. Tributyrin induces differentiation, growth arrest and apoptosis in androgen-sensitive and androgen-resistant human prostate cancer cell lines. Int. J. Cancer. 2000;88:245–251. doi: 10.1002/1097-0215(20001015)88:2<245::AID-IJC16>3.0.CO;2-X. [DOI] [PubMed] [Google Scholar]
- 212.Paskova L., Smesny Trtkova K., Fialova B., Benedikova A., Langova K., Kolar Z. Different effect of sodium butyrate on cancer and normal prostate cells. Toxicol. Vitr. 2013;27:1489–1495. doi: 10.1016/j.tiv.2013.03.002. [DOI] [PubMed] [Google Scholar]
- 213.Jing H., Lin H. Sirtuins in Epigenetic Regulation. Chem. Rev. 2015;115:2350–2375. doi: 10.1021/cr500457h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Zhang N., Sauve A.A. Regulatory Effects of NAD + Metabolic Pathways on Sirtuin Activity. Prog. Mol. Biol. Transl. Sci. 2018;154:71–104. doi: 10.1016/bs.pmbts.2017.11.012. [DOI] [PubMed] [Google Scholar]
- 215.Martinez-Redondo P., Vaquero A. The Diversity of Histone Versus Nonhistone Sirtuin Substrates. Genes Cancer. 2013;4:148–163. doi: 10.1177/1947601913483767. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Jiang H., Khan S., Wang Y., Charron G., He B., Sebastian C., Du J., Kim R., Ge E., Mostoslavsky R., et al. SIRT6 regulates TNF-α secretion through hydrolysis of long-chain fatty acyl lysine. Nature. 2013;496:110–113. doi: 10.1038/nature12038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217.Du J., Zhou Y., Su X., Yu J.J., Khan S., Jiang H., Kim J., Woo J., Kim J.H., Choi B.H., et al. Sirt5 Is a NAD-Dependent Protein Lysine Demalonylase and Desuccinylase. Science. 2011;334:806–809. doi: 10.1126/science.1207861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218.Sawant Dessai A., Dominguez M.P., Chen U.-I., Hasper J., Prechtl C., Yu C., Katsuta E., Dai T., Zhu B., Jung S.Y., et al. Transcriptional Repression of SIRT3 Potentiates Mitochondrial Aconitase Activation to Drive Aggressive Prostate Cancer to the Bone. Cancer Res. 2021;81:50–63. doi: 10.1158/0008-5472.CAN-20-1708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219.Kosciuk T., Wang M., Hong J.Y., Lin H. Updates on the epigenetic roles of sirtuins. Curr. Opin. Chem. Biol. 2019;51:18–29. doi: 10.1016/j.cbpa.2019.01.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Houtkooper R.H., Pirinen E., Auwerx J. Sirtuins as regulators of metabolism and healthspan. Nat. Rev. Mol. Cell Biol. 2012;13:225–238. doi: 10.1038/nrm3293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Ryall J.G., Dell’Orso S., Derfoul A., Juan A., Zare H., Feng X., Clermont D., Koulnis M., Gutierrez-Cruz G., Fulco M., et al. The NAD+-Dependent SIRT1 Deacetylase Translates a Metabolic Switch into Regulatory Epigenetics in Skeletal Muscle Stem Cells. Cell Stem Cell. 2015;16:171–183. doi: 10.1016/j.stem.2014.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Xie N., Zhang L., Gao W., Huang C., Huber P.E., Zhou X., Li C., Shen G., Zou B. NAD+ metabolism: Pathophysiologic mechanisms and therapeutic potential. Signal Transduct. Target. Ther. 2020;5:227. doi: 10.1038/s41392-020-00311-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Kim W., Deik A., Gonzalez C., Gonzalez M.E., Fu F., Ferrari M., Churchhouse C.L., Florez J.C., Jacobs S.B.R., Clish C.B., et al. Polyunsaturated Fatty Acid Desaturation Is a Mechanism for Glycolytic NAD+ Recycling. Cell Metab. 2019;29:856–870.e7. doi: 10.1016/j.cmet.2018.12.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Vriens K., Christen S., Parik S., Broekaert D., Yoshinaga K., Talebi A., Dehairs J., Escalona-Noguero C., Schmieder R., Cornfield T., et al. Evidence for an alternative fatty acid desaturation pathway increasing cancer plasticity. Nature. 2019;566:403–406. doi: 10.1038/s41586-019-0904-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225.Chen D., Bruno J., Easlon E., Lin S.-J., Cheng H.-L., Alt F.W., Guarente L. Tissue-specific regulation of SIRT1 by calorie restriction. Genes Dev. 2008;22:1753–1757. doi: 10.1101/gad.1650608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226.Korotkov A., Seluanov A., Gorbunova V. Sirtuin 6: Linking longevity with genome and epigenome stability. Trends Cell Biol. 2021;31:994–1006. doi: 10.1016/j.tcb.2021.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Feldman J.L., Baeza J., Denu J.M. Activation of the Protein Deacetylase SIRT6 by Long-chain Fatty Acids and Widespread Deacylation by Mammalian Sirtuins. J. Biol. Chem. 2013;288:31350–31356. doi: 10.1074/jbc.C113.511261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Carreño M., Bresque M., Machado M.R., Santos L., Durán R., Vitturi D.A., Escande C., Denicola A. Nitro-fatty acids as activators of hSIRT6 deacetylase activity. J. Biol. Chem. 2020;295:18355–18366. doi: 10.1074/jbc.RA120.014883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229.Caldas A.P.S., Rocha D.M.U.P., Bressan J., Hermsdorff H.H.M. Dietary fatty acids as nutritional modulators of sirtuins: A systematic review. Nutr. Rev. 2021;79:235–246. doi: 10.1093/nutrit/nuaa007. [DOI] [PubMed] [Google Scholar]
- 230.Markham G.D. Encyclopedia of Life Sciences. John Wiley & Sons, Ltd.; Chichester, UK: 2010. S -Adenosylmethionine. [Google Scholar]
- 231.Ye C., Sutter B.M., Wang Y., Kuang Z., Tu B.P. A Metabolic Function for Phospholipid and Histone Methylation. Mol. Cell. 2017;66:180–193.e8. doi: 10.1016/j.molcel.2017.02.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Madigan A.A., Rycyna K.J., Parwani A.V., Datiri Y.J., Basudan A.M., Sobek K.M., Cummings J.L., Basse P.H., Bacich D.J., O’Keefe D.S. Novel Nuclear Localization of Fatty Acid Synthase Correlates with Prostate Cancer Aggressiveness. Am. J. Pathol. 2014;184:2156–2162. doi: 10.1016/j.ajpath.2014.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Wu K., Yin X., Jin Y., Liu F., Gao J. Identification of aberrantly methylated differentially expressed genes in prostate carcinoma using integrated bioinformatics. Cancer Cell Int. 2019;19:51. doi: 10.1186/s12935-019-0763-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234.Oatman N., Dasgupta N., Arora P., Choi K., Gawali M.V., Gupta N., Parameswaran S., Salomone J., Reisz J.A., Lawler S., et al. Mechanisms of stearoyl CoA desaturase inhibitor sensitivity and acquired resistance in cancer. Sci. Adv. 2021;7 doi: 10.1126/sciadv.abd7459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Slieker R.C., Relton C.L., Gaunt T.R., Slagboom P.E., Heijmans B.T. Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception. Epigenetics Chromatin. 2018;11:25. doi: 10.1186/s13072-018-0191-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Li X., Wang J., Wang L., Feng G., Li G., Yu M., Li Y., Liu C., Yuan X., Zang G., et al. Impaired lipid metabolism by age-dependent DNA methylation alterations accelerates aging. Proc. Natl. Acad. Sci. USA. 2020;117:4328–4336. doi: 10.1073/pnas.1919403117. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 237.Niculite C.-M., Enciu A.-M., Hinescu M.E. CD 36: Focus on Epigenetic and Post-Transcriptional Regulation. Front. Genet. 2019;10:680. doi: 10.3389/fgene.2019.00680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Sun Q., Zhang W., Wang L., Guo F., Song D., Zhang Q., Zhang D., Fan Y., Wang J. Hypermethylated CD36 gene affected the progression of lung cancer. Gene. 2018;678:395–406. doi: 10.1016/j.gene.2018.06.101. [DOI] [PubMed] [Google Scholar]
- 239.Alfaqih M.A., Nelson E.R., Liu W., Safi R., Jasper J.S., Macias E., Geradts J., Thompson J.W., Dubois L.G., Freeman M.R., et al. CYP27A1 Loss Dysregulates Cholesterol Homeostasis in Prostate Cancer. Cancer Res. 2017;77:1662–1673. doi: 10.1158/0008-5472.CAN-16-2738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240.Lee B.H., Taylor M.G., Robinet P., Smith J.D., Schweitzer J., Sehayek E., Falzarano S.M., Magi-Galluzzi C., Klein E.A., Ting A.H. Dysregulation of Cholesterol Homeostasis in Human Prostate Cancer through Loss of ABCA1. Cancer Res. 2013;73:1211–1218. doi: 10.1158/0008-5472.CAN-12-3128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Ettinger S.L., Sobel R., Whitmore T.G., Akbari M., Bradley D.R., Gleave M.E., Nelson C.C. Dysregulation of Sterol Response Element-Binding Proteins and Downstream Effectors in Prostate Cancer during Progression to Androgen Independence. Cancer Res. 2004;64:2212–2221. doi: 10.1158/0008-5472.CAN-2148-2. [DOI] [PubMed] [Google Scholar]
- 242.Fan Z., Kong M., Li M., Hong W., Fan X., Xu Y. Brahma Related Gene 1 (Brg1) Regulates Cellular Cholesterol Synthesis by Acting as a Co-factor for SREBP2. Front. Cell Dev. Biol. 2020;8:259. doi: 10.3389/fcell.2020.00259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Li N., Li M., Hong W., Shao J., Xu H., Shimano H., Lu J., Xu Y. Brg1 regulates pro-lipogenic transcription by modulating SREBP activity in hepatocytes. Biochim. Biophys. Acta-Mol. Basis Dis. 2018;1864:2881–2889. doi: 10.1016/j.bbadis.2018.05.022. [DOI] [PubMed] [Google Scholar]
- 244.Gang X., Yang Y., Zhong J., Jiang K., Pan Y., Karnes R.J., Zhang J., Xu W., Wang G., Huang H. P300 acetyltransferase regulates fatty acid synthase expression, lipid metabolism and prostate cancer growth. Oncotarget. 2016;7:15135–15149. doi: 10.18632/oncotarget.7715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245.Yang Y., Liu L., Li M., Cheng X., Fang M., Zeng Q., Xu Y. The chromatin remodeling protein BRG1 links ELOVL3 trans-activation to prostate cancer metastasis. Biochim. Biophys. Acta-Gene Regul. Mech. 2019;1862:834–845. doi: 10.1016/j.bbagrm.2019.05.005. [DOI] [PubMed] [Google Scholar]
- 246.Muthuswami R., Bailey L., Rakesh R., Imbalzano A.N., Nickerson J.A., Hockensmith J.W. BRG1 is a prognostic indicator and a potential therapeutic target for prostate cancer. J. Cell. Physiol. 2019;234:15194–15205. doi: 10.1002/jcp.28161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 247.Gao X., Lin S.-H., Ren F., Li J.-T., Chen J.-J., Yao C.-B., Yang H.-B., Jiang S.-X., Yan G.-Q., Wang D., et al. Acetate functions as an epigenetic metabolite to promote lipid synthesis under hypoxia. Nat. Commun. 2016;7:11960. doi: 10.1038/ncomms11960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248.Mitro N., Godio C., De Fabiani E., Scotti E., Galmozzi A., Gilardi F., Caruso D., Chacon A.B.V., Crestani M. Insights in the regulation of cholesterol 7α-hydroxylase gene reveal a target for modulating bile acid synthesis. Hepatology. 2007;46:885–897. doi: 10.1002/hep.21819. [DOI] [PubMed] [Google Scholar]
- 249.Tao R., Xiong X., DePinho R.A., Deng C.-X., Dong X.C. Hepatic SREBP-2 and cholesterol biosynthesis are regulated by FoxO3 and Sirt6. J. Lipid Res. 2013;54:2745–2753. doi: 10.1194/jlr.M039339. [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 new data were created and analysed in this manuscript. Data sharing is not applicable.