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. 2026 Jun 29;9:868. doi: 10.1038/s42003-026-10566-5

Lipid droplets as stress-buffering organelles in cancer cell homeostasis

Ruolun Wei 1,2, Claudia K Petritsch 1,2,3,4,5,✉
PMCID: PMC13315355  PMID: 42374159

Abstract

Lipid droplets (LDs) are dynamic organelles that support homeostasis and shield cancer cells from stress to promote cancer cell survival, progression, and therapy escape. Here, we summarize recent findings demonstrating LD crosstalk with other organelles and the immune/stromal compartments aimed at buffering metabolic, oxidative, proteotoxic, and lipotoxic stress and stress from cancer treatment and the anti-tumor immune response. We briefly summarize current experimental approaches, including imaging, biochemical, and functional approaches, used to study LD biology. Together, these findings place LDs at the center of cancer cell homeostasis and highlight their emerging potential as translational targets in cancer therapy.

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Subject terms: Cancer metabolism, Tumour heterogeneity


A review summarizes recent findings demonstrating the extensive remodeling of lipid droplets (LDs) in cancer and their roles in buffering cellular stress, including from cancer therapy

Introduction

Lipid droplets (LDs) were first described by Antonie van Leeuwenhoek in 1674, during his microscopic observations of oil droplets in milk, making them one of the earliest identified cellular compartments. What distinguishes LDs from other membrane-bound organelles is their unique structure: they are surrounded by a phospholipid monolayer, as opposed to the lipid bilayers that enclose other organelles. The core of an LD typically consists of neutral lipids such as triacylglycerols (TAGs), cholesterol, and sterols1–3. Originally, LDs evolved in eukaryotes as specialized energy storage compartments that sequester excess lipids during periods of abundant nutrients and release them when resources are scarce. While LDs are commonly found in eukaryotic cells, they are also evolutionarily ancient and conserved across a wide range of organisms. For a long time, LDs were regarded as inert lipid storage compartments, but with the discovery of proteins anchored to their lipid monolayer, they became recognized as functional organelles with a role in managing lipid metabolism, and connecting different signaling pathways4. Moreover, LDs safeguard against various types of cellular stress and maintain energy homeostasis4. Given that cancer cells face a vast variety of stressors and often contain numerous LDs, it will be critical to illuminate the specific mechanisms through which LDs interact with various organelles. LDs facilitate cell proliferation, migration, and survival through various mechanisms that are highly specific to cancer cell type5,6. In this review, we explore the role of LDs in buffering stress from multiple sources, including nutrient deprivation, hypoxia, endoplasmic reticulum stress, mitochondrial oxidative stress, nuclear stress, and therapy-induced insults. By doing so, LDs play a crucial part in promoting cancer cell survival and progression, elevating them from mere lipid storage depots to pivotal players in cancer cell adaptation7,8 (Graphic Abstract). The specific methods employed to study LD functions significantly influence both data generation and interpretation. Therefore, we will also provide a brief overview of experimental approaches and discuss how to utilize them for a more critical interpretation of the data in this field.

Review

LDs biosynthesis in cancer

LDs arise de novo from the endoplasmic reticulum (ER) in response to excess lipids or various stimuli and stresses8,9. Neutral lipids, including TAGs and cholesteryl esters (CEs), accumulate within the ER bilayer and bud toward the cytosol to form nascent LDs encased by a phospholipid monolayer10,11. Neutral lipid synthesis proceeds through two main branches that converge on LD formation. In the fatty acid (FA) synthesis pathway, ATP-citrate lyase (ATP-citrate lyase) generates acetyl-CoA from citrate, acetyl-CoA carboxylase (ACC) converts acetyl-CoA into malonyl-CoA, and fatty acid synthase (FASN) produces saturated FAs such as palmitate12. These FAs are then activated to acyl-CoA and incorporated into glycerolipids. In the TAG synthesis pathway, intermediates such as phosphatidic acid and diacylglycerol (DAG) are generated through enzymes including AGPAT2 and Lipin-1. Diacylglycerol O-acyltransferases (DGAT1/2) catalyze the final step from DAG to TAG13,14. In parallel, sterol O-acyltransferase 1 (SOAT1) esterifies free cholesterol to generate CEs15. Together, TAGs and CEs accumulate within the ER bilayer and provide the neutral lipid core that seeds nascent LD formation. Although both TAGs and CEs contribute to the neutral lipid core, they play distinct roles in cancer metabolism: TAGs mainly support FA storage, buffering, and, at later stages, also mobilization for energy use. CEs, on the other hand, are more closely linked to cholesterol storage and cholesterol-dependent membrane formation and signaling15,16. Thus, multiple proteins collaborate to form LDs: Diacylglycerol O-acyltransferases 1 and 2 and SOAT1, encoded by DGAT1/2 and SOAT1, respectively, generate neutral lipids17, SEIPIN encoded by BSCL2, nucleates and stabilizes ER–LD junctions18, while fat storage-inducing transmembrane protein 2 (FIT2), encoded by FITM2, coordinates ER tubules and cytoskeletal elements to promote LD emergence and growth19. Lastly, dedicated LD surface proteins called perilipins subsequently regulate access by lipases and biosynthetic enzymes20. Beyond simple budding, LD size expansion may also be explained by biophysical models such as coalescence and Ostwald ripening, which have been proposed to contribute to LD enlargement in certain cellular settings (Fig. 1)21,22.

Fig. 1. Cancer-associated lipid droplet formation and accumulation.

Fig. 1

Schematic of oncogenic and stress-related pathways that promote lipid droplet LD formation in cancer. Phosphoinositide 3-kinase (PI3K)–protein kinase B (Akt)–mechanistic target of rapamycin (mTOR), hypoxia-inducible factor 1/2 (HIF-1/2)–hypoxia-inducible lipid droplet-associated protein/hypoxia-inducible gene 2 (HILPDA/HIG2)–adipose triglyceride lipase (ATGL), Toll-like receptor 4 (TLR4)–lysophosphatidylcholine acyltransferase 2 (LPCAT2), cluster of differentiation 36 (CD36)-mediated lipid uptake, acetyl-CoA synthetase 2 (ACSS2)-mediated acetate utilization, and diacylglycerol O-acyltransferase 1/2 (DGAT1/2)- or sterol O-acyltransferase 1/acetyl-CoA acetyltransferase 1 (SOAT1/ACAT1)-dependent neutral lipid synthesis converge to expand triacylglycerol (TAG) and cholesterol ester pools and support LD biogenesis, growth, and turnover. Additional abbreviations: fatty acid (FA), fatty acyl-CoA pool, acetyl-CoA, acetyl-CoA carboxylase (ACC), fatty acid synthase (FASN), stearoyl-CoA desaturase 1 (SCD1), acyl-CoA synthetase long-chain family members (ACSLs), diacylglycerol (DAG), endoplasmic reticulum (ER), mitochondria (MT), lipopolysaccharide (LPS), rat sarcoma viral oncogene homolog (RAS), and MYC proto-oncogene (MYC). Created with BioRender.com.

Although LDs are highly heterogeneous in cancer, ranging from small to enlarged droplets and differing in composition and protein cargo, increased LD enrichment remains a recurrent feature across many cancer types and aggressive cancer states9. Cancer cells promote LD formation through lipid metabolic reprogramming driven by oncogenic signaling and microenvironmental stress through multiple mechanisms: (i) Oncogenic PI3K/AKT/mTOR signaling activates SREBP, which in turn upregulates de novo lipogenesis through expression and functional activation of downstream target genes (ATP-citrate lyase/ACC/FASN), and cholesteryl esterification, expanding the neutral lipid pool that feeds LD biogenesis, particularly in Akt-driven tumor contexts such as glioblastoma23–25; Vice versa, inhibition of this axis curtails lipogenesis and increases vulnerability to lipid peroxidation-induced cell death, primarily known as ferroptosis, as shown in pancreatic cancer26. (ii) Hypoxia (HIF-1/2) promotes lipid storage by upregulating HILPDA/HIG2, a lipid-droplet protein that inhibits the adipose triglyceride lipase ATGL, thereby suppressing lipolysis and promoting TAG accumulation in hypoxic cancer settings models, including clear cell renal cell carcinoma27,28. (iii) Rapid proliferation across various types of cancer cells induces nutrient stress and autophagy, which release FAs and channel them into LDs via DGAT1/2. This predominantly expands the TAG pool, thereby buffering lipotoxicity and staging FAs for later oxidation, a phenomenon observed in diverse types of cancer including melanoma5,29. (iv) Cancer cells expand their neutral lipid pool via accumulation of CEs via the ETS1–SOAT1 regulatory axis, which correlates with enhanced invasion, metastatic potential, and poor prognosis, as shown in oral squamous cell carcinoma30. Consistent with this, LD formation has also been linked to metastatic behavior in specific cancer contexts; for example, acidosis-driven LD accumulation can support epithelial-mesenchymal transition and promote metastatic spreading through transforming growth factor beta2-dependent FA uptake and activation of storage pathways in various cancer models31. Besides endogenous synthesis, many cancers import lipids to build LDs. CD36, upregulated in breast cancer, gastric cancer, and liver metastasis, enhances FA uptake and supports LD accumulation, promoting cancer aggressiveness32–35. In parallel, cancer cells exploit acetate as a carbon source: Acetyl-CoA synthetase 2 converts acetate to acetyl-CoA for lipogenesis, particularly under hypoxia or lipid limitation, supporting LD biogenesis and growth36–38. These uptake and salvage routes complement SREBP-driven de novo lipogenesis and ensure an alternative neutral lipid supply for LD formation (Fig. 1).

Structural and functional remodeling of LDs in cancer

LDs universally contain a neutral lipid core primarily composed of TAGs and CEs, with occasional retinyl ester and ceramide storage depending on the cell type16,39–41. This hydrophobic core is enveloped by a phospholipid monolayer, rich in phosphatidylcholine, phosphatidylethanolamine (PE), and other phospholipids42–44. In certain specialized cell types, such as retinoid-storing cells, this core can also contain vitamin-derived retinyl esters and other hydrophobic compounds45. Related retinoid-associated signals have also been detected in LDs of breast cancer cells under retinoid-treated conditions46. Decorated with a cohort of structural proteins, most notably the Perilipin, Adipophilin, and TIP47 (PAT) family proteins (e.g., PLIN1–5), this protein coat regulates LD stability and lipase access47–50. Beyond these stable building blocks of lipids and coat proteins, a dynamic group of enzymes (e.g., acyltransferases, lipases) and interactome constituents facilitate lipid flux and regulate LD-mediated signaling51–54.

In cancer cells, LDs undergo significant compositional remodeling to support the needs of malignant behaviors55,56. Elevated levels of TAGs and CEs in the core fuel rapid proliferation of cancer cells while protecting them against oxidative stress15,51,57,58. In cancer cells, the protein complement of LDs is remodeled in a context-dependent manner. In particular, DGAT1 and DGAT2 are frequently upregulated or functionally engaged in cancer cells with high lipid flux, where they support TAG synthesis, LD expansion, and stress adaptation. DGAT1-dependent LD biogenesis has been linked to cancer cell growth and oxidative stress buffering in melanoma and glioblastoma models, whereas DGAT2-driven LD biogenesis has been associated with increased migration, radiosensitivity, and aggressive phenotypes in breast cancer and other cancer models59,60. Moreover, LDs can recruit enzymes involved in the lipid production of signaling molecules in specific cancer contexts. Cyclooxygenase-2 (COX-2) can convert arachidonic acid into the prostaglandin endoperoxides prostaglandin G2 and H2, which are subsequently undergoing further processing by downstream prostaglandin synthases into prostaglandins such as prostaglandin E261. In colon cancer cells, lipid bodies act as reservoirs of COX-2 and as sites of prostaglandin E2 synthesis, supporting the idea that at least part of the eicosanoid production can occur directly at LD-associated structures rather than being confined only to nearby ER membranes62. Consistent with this, coordinated induction of LD biogenesis and the COX-2 pathway has also been reported in patient samples obtained from Barrett’s esophagus and esophageal adenocarcinoma, both risk-associated with obesity. In contrast, no increase was observed in esophageal squamous cell carcinoma, which is risk-associated with tobacco and alcohol consumption but not obesity. Moreover, experimentally increasing LD amounts in a non-tumor esophageal cell line upregulates expression of COX-2, CXCL-8, and IL-8 secretion, creating a pro-inflammatory microenvironment62. More recent work furthermore suggests that LD biogenesis can facilitate production of growth-promoting lipid signals in human cancer cell models, including of breast cancer, cervical cancer, and lung cancer63,64. COX2 inhibition is being evaluated clinically in metastatic colorectal cancer and may prevent progression, but only in a specific patient subgroup that has yet to be determined65. Together, these observations indicate that LD-associated eicosanoid production is functionally relevant and may orchestrate pro-tumor inflammatory programs in a context-dependent manner rather than universally across all cancers. In addition, the observation that LD composition can vary across cancer regions and cellular states indicates that LD remodeling is spatially heterogeneous56. More research is needed to determine whether these changes reflect both remodeling of LD-associated protein cargo and broader lipid metabolic rewiring in specific cancer cell types. Such studies are needed to further explore lipid uptake, enhanced de novo lipogenesis, and reduced LD catabolism as both potential drivers for cancer progression and as therapeutic vulnerabilities.

The role of LDs in buffering nutrient stress in cancer

Cancer cells constantly face stress from nutrient deprivation, and LD are critical organelles in adapting to this stress by shifting from building and storing lipids to burning them for providing energy64,66–68. This mobilization of LDs under energy deficit is tightly regulated by nutrient-sensing pathways, in particular the AMP-activated kinase (AMPK), which is activated by low ATP levels69. Activated AMPK promotes autophagy and lipophagy, enhancing the delivery of LDs to lysosomes to release stored FAs into the cytoplasm70. Activated AMPK also inhibits FA synthesis and promotes FA oxidation by phosphorylating and inhibiting acetyl-CoA carboxylase (ACC), lowering malonyl-CoA to activate CPT1A, a key regulator of FA breakdown into energy sources, including ATP and NADH71,72. This catabolic response is, however, counterbalanced by oncogenic PI3K–AKT–mTOR signaling, a universal driver of cancer cell growth, which favors anabolic lipid metabolism and suppresses autophagy under nutrient-rich conditions; when nutrients become limited, reduced mTOR activity permits lipophagic degradation of LDs and supports metabolic adaptation and survival73–75. DGAT1 and DGAT2 are essential for LD biogenesis: during transient starvation, they re-esterify free FAs into TAGs, preventing lipotoxicity and ensuring a stable lipid supply that can later be oxidized5,76. In polyunsaturated fatty acid (PUFA)-supplemented triple-negative breast cancer cells, inhibiting DGAT-dependent LD biogenesis causes widespread lipidome remodeling that funnels PUFAs from neutral lipids into membrane glycerophospholipids, increasing membrane unsaturation, lipid peroxidation, and ferroptosis sensitivity. LDs normally sequester exogenous PUFAs in TAGs and CEs, but when LD formation is blocked, PUFAs redistribute to ester and ether phospholipids, promoting ferroptosis even without exogenous inducers. In lung adenocarcinoma cells, LDs play a context-dependent role—either protecting against or promoting ferroptosis, depending on PUFA load and FSP1 status—with FSP1 deficiency enhancing LD-linked lipid peroxidation and its propagation, underscoring LDs as multifaceted regulators of ferroptosis vulnerability77. Under basal conditions, Perilipin family proteins (PLINs) limit the access of lipolytic enzymes to the LD surface, thereby reducing lipid breakdown and stabilizing LDs. Under starvation, PLINs docked to the phospholipid monolayer upregulate access of lipolytic enzymes to the LD surface. In this process, Comparative Gene Identification-58 (CGI-58), also known as ABHD5 (α/β-hydrolase domain-containing 5), activates ATGL to initiate TAG hydrolysis, generating DAG, which is further hydrolyzed by hormone-sensitive lipase, while monoacylglycerol lipase completes the final step by converting monoacylglycerol into glycerol and free fatty acids. Together, this coordinated lipolytic cascade mobilizes LD-derived FAs for metabolic adaptation under nutrient stress in cancer cells22,78,79.

At the mechanistic level, the breakdown of TAGs within LDs is the critical link between energy storage and supply. TAGs are hydrolyzed by lipases such as ATGL, hormone-sensitive lipase, and monoacylglycerol lipase, or degraded via lipophagy, the process that delivers LDs to lysosomes for catabolism51,80,81. Access of these lipolytic enzymes to LDs is regulated only in part by PLIN family proteins, which act as gatekeepers of LD lipolysis under basal and stimulated conditions78. Liberated FAs are transported into mitochondria through CPT1A and enter β-oxidation, generating acetyl-CoA for the tricarboxylic acid cycle and driving ATP production82. This LD-to-mitochondria flux is facilitated by contact sites mediated by PLIN5 and FATP483, and by the activity of peridroplet mitochondria82,84, which are specialized to oxidize LD-derived FAs. In glioblastoma and lung cancer models, cells with abundant LDs exhibit superior survival under starvation because they can rapidly mobilize stored FAs, whereas inhibition of LD formation with DGAT inhibitors severely compromises proliferation and survival during nutrient stress85,86. Thus, LD breakdown provides critical energy and metabolic flexibility, ensuring cell survival when nutrient supplies are limited. PLIN proteins control the balance of storage and release in healthy tissue, and their upregulation in many cancer types suggests that they control the increased accumulation of LDs in cancer87–89. Given that there are multiple PLIN family proteins and lipases, more studies are needed to understand their exact roles in controlling the balance of FA storage and release in LDs in cancer cells.

LDs in maintaining oxygen homeostasis under hypoxia in cancer

Hypoxia is a defining feature of solid cancers, especially aggressive malignancies90. Because cancer growth often outpaces angiogenesis, the central regions of cancers commonly become hypoxic91. LD accumulation is consistently observed in hypoxic cancer cells, and hypoxia-related LD remodeling has also been described in colorectal cancer and salivary adenoid cystic carcinoma microenvironments, highlighting a conserved adaptive strategy in certain cancer types92–95. Under hypoxic conditions, cancer cells uniformly activate a transcriptional program mediated by hypoxia-inducible factors (HIF-1α and HIF-2α)96. These transcription factors drive multiple adaptations that enable cell survival under low oxygen, including lipid metabolic reprogramming. Low oxygen stimulates FA synthesis in breast cancer, with FASN upregulated through the HIF-1α/Akt/SREBP-1 signaling axis97. HIF-1α also enhances proliferator-activated receptor gamma expression in peroxisomes, thereby increasing both glycolysis and the uptake of free FAs, collectively promoting LD accumulation98,99. Another key adaptive mechanism to hypoxia employed by cancer cells is to buffer lipotoxic stress by adjusting the protein components docked to LDs. HIF-1α upregulates enzymes such as 1-acylglycerol-3-phosphate O-acyltransferase 2 (AGPAT2) in the ER and Lipin-1, which contribute to TAG synthesis at intermediate steps: AGPAT2 promotes phosphatidic acid formation, whereas Lipin-1 converts phosphatidic acid to DAG, the direct precursor of TAG. In this way, excess FAs can be incorporated into TAGs and stored in LDs, thereby protecting cells from lipotoxicity and metabolic instability as demonstrated in hepatoblastoma and cervical adenocarcinoma cells100,101. Lipins are intriguing molecules involved in autophagy and inflammation, and their increased expression in cancers suggests they may serve as promising targets for cancer inhibition. Moreover, hypoxia is closely linked to ferroptosis, a non-apoptotic form of cell death driven by iron-dependent lipid peroxidation93. Hypoxia can influence ferroptosis susceptibility through several pathways, including changes in iron handling, lipid metabolism, and antioxidant defense, and GPX4 remains a key regulator of lipid peroxide detoxification94,95. To counteract this, fibrosarcoma cells activate parallel antioxidant systems: GPX4 reduces toxic lipid peroxides to inert lipid alcohols using glutathione, while ferroptosis suppressor protein (FSP1/AIFM2) regenerates reduced coenzyme Q10 and vitamin K, both of which act as radical-trapping antioxidants102–104). In addition, breast cancer cells divert excess PUFAs into TAGs and store them in LDs, effectively buffering oxidative stress from an excess of lipids and sustaining cell viability under the pressure of hypoxia and ferroptosis105,106. Together, these findings support an emerging role of LDs as regulators of ferroptosis sensitivity through control of lipid storage, FA unsaturation balance, and oxidative buffering in various cancer types (Table 1).

Table 1.

Conditions and adaptations in lipid metabolism of cancer cells

Stress Condition Activated Pathway Adaptations on LDs Consequences for Cancer Cells Reference
Nutrient Starvation AMPK-Lipophagy Promotes lysosomal degradation and release of stored Fas Supports metabolic adaptation and survival during nutrient stress 68,72
AMPK-ACC-CPT1A Inhibits FA synthesis and promotes FA oxidation Maintains ATP production and energy homeostasis 71,73,74
mTOR-inhibits lipophagy Permits lipophagic degradation of LDs Facilitates catabolic adaptation under nutrient limitation 75,76
DGAT1/2 esterifies FAs into TAGs Re-esterifies excess FAs into TAGs Prevents lipotoxicity and preserves viability during transient starvation 6,78
Comparative Gene Identification-58/ATGL-hormone-sensitive lipase-MAGL Sequential hydrolysis of TAG, DAG, and MAG Mobilizes stored lipids for fuel use and metabolic flexibility 80–82
Perilipin (PLIN1-5) Regulate lipases to the LD surface Regulate LD stability versus lipid mobilization 49,81
Hypoxia HIF-1α/Akt/SREBP-1 Promotes TAG synthesis and storage of excess FAs in LD Supports growth and adaptation to low oxygen 100
HIF-1α/peroxisome proliferator-activated receptor gamma Promote glycolysis and uptake of free Fas Enhances metabolic flexibility and lipid storage 101,102
HIF-1α/Lipin-1 + AGPAT2 Promote TAG synthesis and storage of excess Fas in LD Buffers lipotoxicity and maintains survival under hypoxia 103,104
GPX4-glutathione Detoxifies lipid peroxides Reduces ferroptosis stress and preserves viability 95,97
FSP1/AIFM2-CoQ₁₀/vitamin K Enhance the radical antioxidant effect Protects cells from lipid peroxidation and ferroptosis 105,106
PUFA sequestration into TAG Stores peroxidation-prone PUFAs into LD Buffers oxidative lipid stress and promotes survival 107,109

LDs in ER homeostasis and proteostasis

LDs originate from the ER, and although they bud into the cytosol, they frequently maintain close associations with the ER through membrane contact sites107,108. These connections allow the exchange of lipids, proteins, and signaling molecules. Proteins such as DGAT2 and acyl-CoA synthetases can shuttle between the ER and the LD surface to retain competence for lipid synthesis by the LDs, whereas tethering factors including seipin and Rab18 help stabilize ER–LD contacts and support bidirectional lipid flux109–111. Through these connections, excess fatty acids can be re-esterified into TAGs and stored in LDs, while LD-derived lipids can also be mobilized back to the ER when membrane lipid synthesis is needed111–113.

This buffering function is particularly important in cancer cells, which commonly increase de novo lipogenesis and accumulate FAs to adapt to their increased demand for nutrients. When saturated FAs such as palmitate build up, the excess lipid saturation alters the transmembrane environment and thereby activates ER stress sensors docked in the ER membrane, including IRE1 and PERK, thereby triggering pro-apoptotic responses113–119. By channeling palmitate and other potentially lipotoxic FAs into TAG synthesis and LD storage, cancer cells reduce their accumulation in ER membranes and thereby limit lipotoxic ER stress120–122.

LDs may also relieve the proteotoxic burden during ER stress123. Under conditions of lipid imbalance or protein misfolding, LDs clear excess lipids and damaged or aggregation-prone proteins by inducing biogenesis and macrolipophagy, the latter requiring direct contact of LDs with the lysosome. This has been linked to restoration of ER homeostasis124–126. In cancer, this ER-protective role is likely to support cell survival under chronic metabolic stress and to reduce the unfolded protein response, which is activated as a consequence of ER stress127 (Fig. 2).

Fig. 2. Endoplasmic reticulum–lipid droplet interaction in buffering lipid and proteotoxic stress.

Fig. 2

Schematic of endoplasmic reticulum (ER)–lipid droplet (LD) membrane contact sites (MCS) and their role in ER homeostasis. LDs bud from the ER, remain connected through membrane contact sites, and exchange lipids and enzymes with the ER. These interactions promote fatty acid (FA) esterification, lipid storage, and clearance of excess or damaged components, thereby helping limit ER stress. LDs may also sequester and isolate lipotoxic species such as palmitic acid, reducing their accumulation in ER membranes and thereby helping prevent ER stress. Additional abbreviations: diacylglycerol O-acyltransferase 2 (DGAT2), acyl-CoA synthetases, and Ras-related protein Rab18 (Rab18). Created with BioRender.com.

LDs in mitochondrial homeostasis under redox stress

LDs have physical and functional contacts with mitochondria through two distinct modes. In the first, consistent with the dynamic interactions observed between other organelles, LDs engage mitochondria via transient “kiss-and-run” contacts, characterized by brief and reversible associations that permit rapid lipid exchange and metabolic signaling128,129. In addition, a more stable “anchored” mode is observed between LDs and mitochondria, with the LD-anchored mitochondria tightly bound to LDs even under conditions of mechanical stress130,131. These anchored contacts are prevalent in oxidative tissues, including brown adipose tissue, heart, and skeletal muscle, and are thought to provide sustained access to LD-derived FAs, thereby supporting continuous β-oxidation and ATP generation in energy-intensive states82,131. In cancer cells, LDs and mitochondria also establish close functional contact, which may support FA transfer, maintain mitochondrial energy production, and increase metabolic flexibility under stress. This interaction is likely to benefit cancer cells by sustaining survival and proliferation when nutrient availability fluctuates or when reliance on FA oxidation increases132.

In addition to serving as an energy source, LDs can buffer spikes in FA flux induced by oncogenic signaling in Ras-mutant cancers and by hypoxia, including in breast cancer cells, and prevent mitochondrial stress caused by such sudden surges in fuel delivery. During nutrient deprivation and autophagy, free FAs released from membranes are re-esterified into TAGs by DGAT1 and stored in LDs, thereby preventing a sudden influx of FAs into mitochondria that would otherwise overload the electron transport chain and trigger excessive reactive oxygen species (ROS) production29,85.

Subsequently, LDs mobilize FAs in a controlled manner, often through contact sites with mitochondria mediated by proteins such as PLIN5, which enable directed lipid transfer, thereby attenuating oxidative stress while maintaining ATP generation83,133. In cancer cells, this buffering function may help preserve mitochondrial fitness, limit lipotoxic and oxidative cell damage, and support continued cancer cell growth under metabolic stress. LD accumulation also intersects with antioxidant signaling because byproducts of lipid oxidation activate the transcription factor Nuclear factor erythroid 2-related factor 2 (NRF2), which induces expression of cytoprotective enzymes and reduces lipid peroxide. The role of NRF2 is complex and cell type-specific, and in a context-dependent manner, NRF2 further enhances cellular redox defenses, which may boost tumor cell survival and therapy resistance under stress conditions134 (Fig. 3).

Fig. 3. Lipid droplets buffer lipotoxicity through contact with mitochondria.

Fig. 3

Illustration of how excessive lipid and fatty acid (FA) influx can induce mitochondrial lipotoxicity, reactive oxygen species (ROS) production, lipid peroxide accumulation, and endoplasmic reticulum (ER) stress. Lipid droplets (LDs) buffer this flux by storing excess FAs as triacylglycerols (TAGs), cholesterol esters (CEs), and other lipid species, and through LD–mitochondria contacts they support controlled FA release to mitochondria (MT), thereby limiting oxidative stress. Additional abbreviations: cluster of differentiation 36 (CD36), acetyl-CoA synthetase 2 (ACSS2), fatty acyl-CoA, nuclear factor erythroid 2-related factor 2 (NRF2), diacylglycerol (DAG), and deoxyribonucleic acid (DNA) double helix. Created with BioRender.com.

LDs in nuclear homeostasis and protecting genome integrity

Conventional cancer therapies, which mainly include radiation and chemotherapy, induce DNA damage followed by cell cycle arrest (genotoxic arrest) and cell death in cancer cells103,135. In multiple cancer models, including renal cell carcinoma, fibrosarcoma, and melanoma, cell-cycle arrest promotes DGAT1/2 upregulation and DGAT-dependent LD formation, which enhances TAG synthesis, redirects oxidizable FAs into neutral lipid stores, and is associated with increased ferroptosis resistance103. To counter therapy-associated stress, cancer cells induce DGAT-dependent LD formation, a protective effect largely lost under lipoprotein-depleted conditions. More generally, exogenous unsaturated FAs can also promote a ferroptosis-resistant state103,106. These findings indicate that therapy-induced cell cycle arrest suppresses ferroptosis at least in part by promoting DGAT-mediated TAG synthesis and LD biogenesis. This protective phenotype may depend primarily on the uptake of exogenous lipids. Mechanistically, sequestration of excess FAs into TAG-rich LDs is thought to reduce their incorporation into peroxidation-prone membrane phospholipids and can therefore buffer not only ferroptosis stress but also other forms of lipotoxicity. In this context, by limiting lipid peroxidation and stress-induced cell death during genotoxic arrest, LD formation may help preserve cellular viability and support subsequent recovery of the cell cycle.

The influence of LDs on nucleus homeostasis is, however, not entirely protective. The cell nucleus is one of the stiffest organelles within most cell types. In many cancer cells, such as renal cancer136, hepatocellular carcinoma137, and breast cancer138, LDs become excessively enlarged. With an interfacial tension of around 40 millinewtons/meter, LDs exhibit sufficient mechanical rigidity to deform surrounding cellular structures in osteosarcoma cells. While organelles with more flexible membranes may accommodate such crowding, the stiff nucleus is particularly vulnerable: excessive LD accumulation can physically compress and damage nuclear architecture139,140, causing nuclear stress and DNA damage on biophysics level. Molecularly, LDs are mechanically rigid enough to indent the nucleus, dilute Lamin-B1, trigger nuclear envelope rupture, recruit the DNA sensor cGAS, mislocalize DNA repair factors to the cytosol, and consequently increase DNA damage and delay cell cycle progression140. Thus, LDs can promote nuclear homeostasis by supporting cell-cycle progression and protecting cells against cell death, including ferroptosis, thereby enhancing cancer cell survival under therapy-induced stress. However, LDs can also function as rigid intracellular stressors that increase the risk of DNA damage.

LDs as buffers of toxin- and cancer therapy-induced stress

In non-cancer model systems, LDs have been shown to act as transient depots for selected basic, aggregation-prone proteins, including histones. Histones are essential for DNA packaging, yet in excess or in the unchaperoned form, they are highly cytotoxic, as their strong positive charge promotes nonspecific binding to nucleic acids and cellular membranes141. For example, nearly 50% of select histones (H2A, H2Av, and H2B) physically associate with LDs. This localization begins during oogenesis and is conserved across species, indicating an evolved buffering function for excess histones141. Mechanistically, the LD-resident protein Jabba anchors maternal H2A/H2Av to LDs; when Jabba is disrupted, nuclear H2Av/H2A ratios rise, mitoses falter, and viability drops. Thus, LDs serve not only as lipid depots but also as “histone buffers” and thereby prevent proteotoxicity and maintain nuclear histone balance142.

Many chemotherapeutics are highly lipophilic, a property that facilitates membrane permeation but also allows LDs to sequester them, lowering their concentration in the cytosol and attenuating their efficacy. A clear example is provided by FGFR-driven lung cancer cells exposed to the tyrosine kinase inhibitor ponatinib: the inhibitor is selectively taken up by LDs in a process termed “LD-mediated scavenging,” and increased drug LD load correlates with drug resistance, whereas pharmacological inhibition of LD biogenesis (e.g., by Triacsin C) restores sensitivity143. Similarly, in acute myeloid leukemia models, resistance to the hydrophobic prodrug CHR2863 is associated with down-regulation of Carboxylesterase 1 (CES1), a critical regulator of lipid mobilization, leading to accumulation of unmetabolized drug in LDs144. In hepatocellular carcinoma cells treated with the pan-RAF inhibitor sorafenib, the Aldo-keto reductase family 1 member C3 (AKR1C3) is upregulated, which in turn induces LD accumulation and protects cancer cells from sorafenib-induced mitochondrial lipotoxicity145. More broadly, these findings show that by buffering toxic lipids and sequestering selected drugs, the metabolic plasticity provided by LD remodeling supports cancer cell survival under treatment stress and leads to therapy resistance.

LDs in immune stress adaptation within the tumor microenvironment

The role of LDs in maintaining tumor cell homeostasis is not limited to cancer cell-intrinsic mechanisms but extends to the tumor microenvironment. In this context, LDs may help tumors evade immune surveillance and escape the anti-tumor immune response. In oral squamous cell carcinoma, PLIN3-high tumor cells showed increased LD deposition and were associated with reduced CD8 + T-cell activation and greater T-cell exhaustion, partly through B7-homolog 2-related signaling (Fig. 4)146. In esophageal squamous cell carcinoma, PLIN2/APOE-driven LD formation promotes cytokine secretion, stromalization, and suppression of T-cell activation147. Moreover, beyond their effects in tumor cells, LDs can also accumulate directly within immune cells and thereby contribute to immune evasion. In macrophages, LD-rich states have been linked to immunosuppressive phenotypes and tumor-promoting functions. For example, LD–loaded macrophages have been identified in human glioblastoma and were associated with an immunosuppressive state marked by increased CD39 and PD-L1 and reduced Major Histocompatibility Complex Class-II expression, suggesting that LD accumulation may support macrophage adaptation to the hostile tumor milieu while weakening anti-tumor immunity148. Interestingly, LDs actively participate in mammalian innate immunity by both cell-autonomously killing intracellular pathogens and locally, and by facilitating systemic metabolic adaptation to infection. Together, these findings suggest that LDs may buffer metabolic and oxidative stress not only in cancer cells but also across tumor–immune interactions, thereby reinforcing immune evasion and escape (Fig. 4). Further research is needed to illuminate the complex roles for LDs in modulating the anti-cancer immune response. Moreover, we are only beginning to understand their potential interference with emerging immunotherapies149.

Fig. 4. Lipid droplets buffer immune stress and reshape the tumor microenvironment.

Fig. 4

Schematic illustrating how lipid droplet (LD) accumulation in tumor cells and immune cells contributes to adaptation to immune stress, immune suppression, and stromal remodeling in the tumor microenvironment (TME). In tumor cells, perilipin 3 (PLIN3)-associated LD accumulation is linked to B7 homolog 2 (B7-H2)-related signaling and CD8-positive T-cell exhaustion, whereas perilipin 2 (PLIN2)/apolipoprotein E (APOE)-driven LD formation promotes cytokine secretion and extracellular matrix stromalization. In macrophages, LD-rich states are associated with increased cluster of differentiation 39 (CD39) and programmed death-ligand 1 (PD-L1) and reduced major histocompatibility complex class II (MHC-II) expression, consistent with an immunosuppressive phenotype. Additional abbreviations: inducible T-cell co-stimulator (ICOS), cytotoxic T lymphocyte marker CD8 (CD8), and T cell. Created with BioRender.com.

Experimental approaches for studying lipid droplets

Fluorescence-based imaging remains the most widely used method to detect and quantify LDs in cells. Fluorescent dyes such as BODIPY and Nile Red are convenient tools for visualizing LD abundance, size, and intracellular distribution, and combined with widefield or confocal microscopy and imaging software, they can be used for quantitative analysis150,151. However, these dyes do not provide a complete biochemical readout of LD composition, and their specificity is not absolute, especially under conditions with abundant neutral lipids or in the presence of other hydrophobic intracellular structures152,153. Ultrastructural methods, including electron microscopy and correlative light-electron microscopy, provide much higher spatial resolution and are particularly valuable for examining LD interactions with the ER, mitochondria, and other organelles, although they are lower-throughput and technically demanding154.

Label-free approaches such as Raman spectroscopy and stimulated Raman scattering imaging add an important layer of visualizing lipid-rich structures without exogenous dyes and provide information on lipid composition and saturation state155,156. But these methods generally infer chemical signatures rather than directly proving organelle identity unless combined with imaging or marker-based validation156. Biochemical approaches, including LD isolation followed by analyzing their contents with proteomic or lipidomic approaches, are useful for identifying cell-type-specific and context-dependent proteins and lipid species associated with LDs157,158. Additionally, stable isotope tracing can reveal lipid flux into and out of LDs159. Still, biochemical profiling alone cannot fully exclude contamination from close contact organelles and therefore requires independent confirmation157. Finally, functional assays such as lipolysis measurements, lipophagy assays, and organelle contact-site analysis are essential for linking LD morphology to its function in controlling metabolic activity and stress adaptation160–162. Together, each method mentioned above (Table 2) reveals a specific aspect of LD biology; it is generally best to combine at least two complementary approaches when studying LDs' morphology, composition, and function.

Table 2.

Common experimental approaches for studying lipid droplets

Approach category Methods Major Strength Limits
Fluorescence imaging BODIPY/Nile Red under widefield microscopy/confocal microscopy Simple and widely accessible for visualizing LD abundance, size, and number Dye specificity is not absolute; it does not directly define LD biochemical composition
Ultrastructural imaging Electron microscopy (EM), correlative light-electron microscopy (CLEM) High spatial resolution shows ultrastructure and interactions with other organelles Low-throughput; technically demanding; sample preparation is time-consuming
Label-free vibrational imaging Raman spectroscopy, stimulated Raman scattering (SRS), coherent Raman scattering (CRS) Label-free detection of lipid-rich structures provides in situ information on lipid composition Infer chemical signatures rather than proving organelle identity, an indirect measure of LD composition
Biochemical profiling LD isolation, LD proteomics, LD lipidomics Identifying LD-associated proteins and LD molecular composition Imprecise, cannot fully exclude compounds from closely associated membranes
Metabolic flux profiling Stable isotope tracing Provides dynamic info on lipid uptake, synthesis, storage, mobilization, and oxidation Interpretation depends on tracer design and experimental context; needs combined with imaging assays to localize the flux site
Functional assays Lipolysis measurements, lipophagy assays Useful for showing lipid mobilization, catabolism, organelle coupling, metabolic activity, and stress adaptation Captures only one aspect of lipid biology at a time, and needs to be combined with imaging assays to localize the functional site

Outlook

In recent years, researchers have increasingly recognized lipid LD accumulation as a prevalent phenotype across cancers, especially in highly malignant, recurrent, and therapy-resistant cancers. Our understanding has shifted from viewing LDs as inert energy depots to recognizing them as dynamic organelles that maintain cancer cell homeostasis and enable stress adaptation. Through crosstalk with other organelles and active participation in energy and redox metabolism, LDs help stabilize the intracellular milieu when cancer cells are instructed to proliferate and progress by oncogenic signaling, and in the process encounter complex external pressures. In addition to the organelles discussed here, LDs may also interact with other compartments such as peroxisomes, but current evidence remains limited and their significance in cancer awaits further study163. The field of cancer lipid metabolism and LD biology thus stands at a crossroads of pressing challenges and promising opportunities.

Despite these promising LD-directed strategies across multiple experimental systems, several issues must be addressed before broad clinical translation, foremost among them, the therapeutic specificity of targeting LD in cancer. Unlike cancer-restricted antigens exploited by immunotherapies, the machinery supporting LD biogenesis and turnover is widely present in normal tissues. As a result, systemic LD-targeting strategies may cause severe adverse effects, including metabolic imbalance and weight loss, as suggested by preclinical studies164,165. These adverse effects need to be addressed, especially since patients with low baseline weight or poor nutritional status often have worse outcomes clinically. Developing metabolism-targeting agents with increased specificity is critical to minimize collateral metabolic perturbation.

A second major direction for future preclinical research is to define which aspects of LD biology are most therapeutically actionable. This issue should be considered in the context of existing preclinical studies targeting LD biogenesis and other LD-related pathways, rather than focusing only on upstream de novo fatty acid synthesis. Notably, the DGAT pathway, which directly participates in neutral lipid synthesis and LD formation, has already been explored therapeutically in non-oncology settings, supporting the druggability of this axis166,167. At the same time, translating this strategy into cancer will require careful attention to tumor specificity and treatment tolerability. Several important molecular questions remain open, including identifying tumors that strongly depend on TAG-rich versus CE-rich LD pools, which specific LD-associated proteins may be more selective drug targets than broader lipid synthesis pathways, and how inhibition of LD formation, turnover, or stress-buffering function can be most effectively combined with radiotherapy, ferroptosis-inducing strategies, targeted therapy, or immunotherapy.

Several biological questions also remain open. One is the extent of LD heterogeneity across cancer types and states, including differences in LD size, composition, and associated protein cargo. Another is the need to better define LD-mediated drug resistance mechanisms, including whether LDs mainly act through sequestration of lipophilic drugs, buffering of toxic lipids, or broader metabolic rewiring during treatment adaptation. A third unresolved issue is the role of LDs in ferroptosis and oxidative lipid metabolism, including how different tumors balance PUFA storage, MUFA availability, lipid peroxidation, and antioxidant systems under stress. Fourth, the roles for LDs in cell fate changes, including epithelial-mesenchymal transitions and malignant transformation, remain largely unexplored. In parallel, an important direction is to clarify how LD remodeling in cancer cells and immune cells, especially macrophages, dendritic cells, and exhausted T cells, shapes antigen presentation, inflammatory signaling, stromal remodeling, and immune suppression within the tumor microenvironment.

Together, these questions suggest that the next stage of the field should move beyond describing LD accumulation as a cancer phenotype and instead define when, where, and how LDs become true therapeutic liabilities. A better understanding of LD heterogeneity, LD-dependent stress adaptation, and tumor-specific metabolic context will be essential for translating LD biology into more precise and effective cancer treatment strategies.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Supplementary information

Reporting Summary (1.3MB, pdf)

Acknowledgements

Funding was provided by the following sources: National Institute of Health R21 NS099836 (C.K.P). National Institute of Health R01 NS080619 (C.K.P). National Institute of Health R01 CA164746 (C.K.P.). National Institute of Health 17×074 (C.K.P.). Neurosciences Preclinical Imaging Lab Pilot Grant 2022 (C.K.P.). Stanford Women’s Health and Sex Differences Center (WHSDM) Seed Grant (C.K.P). BRAF LGG consortium research fund (C.K.P.). Stanford Cancer Institute (C.K.P). National Institute of Health U54 CA261717 (C.K.P.). Department of Neurosurgery Seed Grand (C.K.P.).

Author contributions

R.W. conceived the idea, conducted the literature search and drafted the initial version. R.W. and C.K.P. wrote the final manuscript, performed two revisions, and both authors reviewed and approved the final manuscript for publication.

Peer review

Peer review information

Communications Biology thanks Caterina Bartolacci and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: Kaliya Georgieva. A peer review file is available.

Data availability

N/A

Competing interests

The authors declare that there are no competing interests. The authors declare that section they have taken local and regional research relevant to the review in account in their citations.

Footnotes

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

Supplementary information

The online version contains supplementary material available at 10.1038/s42003-026-10566-5.

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