Skip to main content
Download PDF

When fats commit crimes: fatty acid metabolism, cancer stemness and therapeutic resistance

Cancer Communications volume 38, Article number: 47 (2018) Cite this article

Abstract

The role of fatty acid metabolism, including both anabolic and catabolic reactions in cancer has gained increasing attention in recent years. Many studies have shown that aberrant expression of the genes involved in fatty acid synthesis or fatty acid oxidation correlate with malignant phenotypes including metastasis, therapeutic resistance and relapse. Such phenotypes are also strongly associated with the presence of a small percentage of unique cells among the total tumor cell population. This distinct group of cells may have the ability to self-renew and propagate or may be able to develop resistance to cancer therapies independent of genetic alterations. Therefore, these cells are referred to as cancer stem cells/tumor-initiating cells/drug-tolerant persisters, which are often refractory to cancer treatment and difficult to target. Moreover, interconversion between cancer cells and cancer stem cells/tumor-initiating cells/drug-tolerant persisters may occur and makes treatment even more challenging. This review highlights recent findings on the relationship between fatty acid metabolism, cancer stemness and therapeutic resistance and prompts discussion about the potential mechanisms by which fatty acid metabolism regulates the fate of cancer cells and therapeutic resistance.

Background

Fatty acid (FA) metabolism is composed of anabolic and catabolic processes that maintain energy homeostasis. FA synthesis, which converts various types of nutrients into metabolic intermediates, is essential for cellular processes such as maintaining cell membrane structure and function, storing energy and mediating signaling. Cells generate energy by breaking down FAs via FA oxidation (FAO), also known as β-oxidation [1, 2]. A loss of balance between FA synthesis and oxidation may result in inadequate FA levels, leading to lipid accumulation. Lipid accumulation has been observed in many types of cancer, including brain, breast, ovarian and colorectal cancers [3,4,5] and has recently drawn increased attention. This has motivated scientists to understand the molecular mechanisms by which FA metabolism participates in the pathophysiological processes of cancer.

Cancer stem cells (CSCs), also referred to as tumor-initiating cells (TICs), have been identified in many types of solid tumors and often result in tumor recurrence because of their self-renewal and tumorigenic properties. CSCs/TICs can be defined by in vitro tumorsphere formation assays and in vivo limiting dilution assays in conjunction with surface marker analyses [6, 7]. How CSCs originate remains under debate. Possible explanations are that: (1) adult stem cells acquire mutations to become malignant or (2) neoplastic, differentiated cells receive external stimuli and undergo reprogramming to a progenitor or stem-like state [8]. Recent findings on the interconversion of neoplastic epithelial cells to CSC-like cells within a mixed tumor population suggest that a dynamic reprogramming process may occur during the transition state [9,10,11,12]. This bidirectional conversion or so-called cancer cell plasticity may emerge as a challenge for cancer treatment [13, 14]. Therefore, delineating the mechanisms of cancer cell plasticity and identifying regulators of the process that can be manipulated to prevent the conversion of cancer cells to CSCs may reduce the incidence of cancer recurrence.

A similar idea applies to the development of therapeutic resistance. Cancer treatments typically kill most fast-growing tumor cells. However, a subpopulation of cells may become tolerant of the drug, enter a state of dormancy and later evolve mechanisms of resistance. The cells in this small population are called drug-tolerant persisters (DTPs) and are considered independent from cells that acquire mutations to develop resistance. The interconversion between the drug-sensitive state and the tolerant state is thought to be controlled by growth factor signaling or epigenetic regulation [15,16,17,18]. For example, DTPs arising from tyrosine kinase inhibitor-resistant lung cancer cells are regulated by insulin growth factor signaling and a lysine demethylase, KDM5A [18]. In addition, these DTPs express the stem cell marker CD133 and share some of the CSC properties. Therefore, when appropriate, CSCs/TICs/DTPs will be used hereafter to describe the small populations of cells possessing the abilities to confer drug resistance and to repopulate. Understanding the mechanisms by which cancer cells progress into CSCs/TICs/DTPs will offer opportunities to prevent therapeutic resistance.

The plasticity of cancer cells and the genetic-independent acquisition of therapeutic resistance may be tightly associated with metabolic reprogramming. Altered metabolism is one of the hallmarks of cancer and has also been observed in CSCs (reviews in [19,20,21,22]). Hirsch et al. have shown that metformin, a blood sugar-lowering drug specifically targets breast CSCs and sensitizes CSCs to doxorubicin [23]. Metformin not only activates AMP-activated kinase (AMPK), but also inhibits complex I of the mitochondrial respiratory chain [24], suggesting that CSCs may have distinct metabolic features that are targetable. A study reveals that the loss of fructose-1,6-biphosphatase (FBP1) in basal-like breast cancer inhibits oxidative phosphorylation (OXPHOS), increases glycolysis and CSC properties [25]. Moreover, mesenchymal glioma stem cells derived from clinical specimens demonstrate elevated glycolytic activity. In contrast, mitochondrial biogenesis and OXPHOS are also critical for maintaining CSC populations [26, 27]. These findings suggest that there is metabolic plasticity in the CSC population and that modulating the utilization of metabolic pathways could influence the tumorigenic capacity of tumor cells.

While increasing evidence has revealed the role of altered energy metabolism during cancer progression, relatively fewer studies have focused on FA metabolism. In this review, we aim to evaluate recent studies and to summarize their findings on the role of FA metabolism in cancer malignant phenotypes, especially therapeutic resistance and stemness. We wish to stimulate discussion of the mechanisms by which cancer cells may acquire malignant properties via altered FA metabolism.

Fatty acid metabolism in cancer progression and therapeutic resistance

The lipogenic phenotype is one of the metabolic hallmarks of cancer. First observed in the 1950s, de novo FA synthesis is the major source of FAs for cancer cells [28]. Rapidly growing cancer cells require relatively large amounts of FAs to support processes such as membrane formation and signaling. Cytosolic acetyl-CoA is the building block for FAs, and can be generated from citrate or acetate. Citrate comes from either glycolysis followed by the tricarboxylic acid (TCA) cycle or from glutaminolysis followed by reductive carboxylation; it is then cleaved by ATP-citrate lyase (ACLY) to form cytosolic acetyl-CoA and oxaloacetate. Acetate obtained from either external or internal sources is ligated to CoA by acyl-CoA synthetase short-chain family member 2 (ACSS2) to form acetyl-CoA. Next, acetyl-CoA is carboxylated by acetyl-CoA carboxylase (ACC) to form malonyl-CoA. This is followed by a series of condensation processes catalyzed by fatty acid synthase (FASN) in the presence of nicotinamide adenine dinucleotide phosphate (NADPH) to primarily produce palmitate for subsequent FA elongation, desaturation and lipid synthesis [1, 29] (Fig. 1).

Fig. 1
figure1

Fatty acid metabolism in cancer. Key enzymes involved in fatty acid (FA) metabolism. Orange-highlighted enzymes have been reported as altered in cancer or associated with cancer stemness. ACC acetyl-CoA carboxylase, ACLY ATP citrate lyase, ACSS2 acyl-CoA synthetase short-chain family member 2, FASN fatty acid synthase, CPT1/2 carnitine/palmitoyl-transferase 1/2, CACT carnitine acylcarnitine translocase, FAO fatty acid oxidation, IDH isocitrate dehydrogenase, TCA cycle tricarboxylic acid cycle, PDK pyruvate dehydrogenase kinase, PDH pyruvate dehydrogenase, P phosphorylation, U ubiquitylation, Ac acetylation

Full size image

In tumors, many lipogenic enzymes are up-regulated and correlate with cancer progression (Fig. 1). Overexpression of FASN has been frequently reported in a wide variety of cancers, including breast, ovarian, endometrial and prostate cancers, and is associated with poor prognosis and resistance to chemotherapy [29,30,31,32,33,34,35]. For example, increased expression of FASN is associated with resistance to cisplatin in breast and ovarian cancers and the resistance can be reversed by blocking FASN with an inhibitor, C75 [30, 31]. FASN increases DNA repair activity by up-regulating poly(ADP-ribose) polymerase 1 resulting in resistance to genotoxic agents [35]. In cancer cells, expression of FASN is modulated by sterol regulatory element-binding protein 1c (SREBP1) and proto-oncogene FBI-I (Pokemon) via dysregulated mitogen activated protein kinase or phosphoinositide 3-kinase/AKT pathways under hormonal or nutritional regulation [1, 36]. FASN expression can also be regulated post-translationally. The deubiquitinase USP2a is often up-regulated and stabilizes FASN in prostate cancer [37].

ACLY serves as a central hub for connecting glucose and glutamine metabolism with lipogenesis and initiating the first step of FA synthesis [38]. Elevated ACLY levels have been observed in gastric, breast, colorectal and ovarian cancers and are linked to malignant phenotypes and poorer prognosis [39,40,41,42]. In particular, overexpression of ACLY in colorectal cancer leads to resistance to SN38, an active metabolite of irinotecan [42]. Like FASN, the transcription of ACLY is also regulated by SREBP1 [43], and it can be regulated post-translationally. Phosphorylation at ACLY serine 454 by AKT is increased in lung cancer and is correlated with enhanced activity of ACLY [44]. ACLY can also be phosphorylated by cAMP-dependent protein kinase and nucleoside diphosphate kinase [45, 46].

Overexpression of ACC has been found in breast, gastric and lung cancers [47,48,49]. Mammals express two isoforms of ACC, ACC1 and ACC2, which have distinct roles in regulating FA metabolism. ACC1 is present in the cytoplasm, where it converts acetyl-CoA to malonyl-CoA. ACC2 is localized to the mitochondrial membrane, where it prevents acyl-CoA from being imported into the mitochondria through carnitine/palmitoyl-transferase 1 (CPT1) for FAO and entering the TCA cycle to generate energy. Both ACC1 and ACC2 can be regulated transcriptionally and post-translationally by multiple physiological factors, including hormones and nutrients [50, 51]. mRNA expression of ACC1 and ACC2 is regulated by SREBP1, carbohydrate-responsive element-binding protein and liver X receptors [52, 53]. Additionally, ACC1 and ACC2 can be phosphorylated at serine 80 (serine 79 in mouse) and serine 222 (serine 212 in mouse), respectively, by tumor suppressor AMPK to inhibit their activities under ATP-depleted condition [50, 54,55,56,57]. The phosphorylation at serine 80 of ACC1 is associated with a metastatic phenotype in breast and lung cancers and is also responsible for resistance to cetuximab in head and neck cancer [58, 59].

There are 26 genes encoding acyl-CoA synthetase, which have distinct affinities for short-, medium-, long- or very long-chain FAs [60]. Overexpression of cytosolic ACSS2, one of the three family members of short chain acyl-CoA synthetase, can lead to acetate addiction in breast, ovarian, lung and brain cancers when nutrients or oxygen are limited; this overexpression is correlated with cancer progression and worse prognosis [61,62,63]. Mitochondrial ACSS1 is up-regulated in hepatocellular carcinoma and is associated with tumor growth and malignancy [64]. Although the regulation of ACSS expression remains poorly understood, it has been reported that ACSS genes are controlled by SREBP [65, 66].

In addition to the highly activated lipogenic pathway, FA catabolism is also important for maintaining cancer cell survival and contributing to chemotherapy resistance. The mitochondrial inner membrane is impermeable to long-chain acyl-CoAs; thus, the CPT system is required for transporting long-chain acyl-CoAs into the mitochondria from the cytoplasm. Three components are involved in this transporting system: CPT1, the carnitine acylcarnitine translocase (CACT) and CPT2 [67]. There are three currently known isoforms of CPT1 distributed in different tissues: CPT1A, CPT1B and CPT1C [68]. Knockdown of CPT1A leads to down-regulation of mTOR signaling and increases of apoptosis, suggesting CPT1A promotes the growth of prostate cancer cells [69]. Moreover, CPT1A depletion can sensitize prostate cancer cells to anti-androgen treatment, enzalutamide [70]. It has also been reported that CPT1A is positively correlated with histone deacetylase activity to enhance the tumorigenesis of breast cancer [71]. The expression of CPT1A can be regulated by nuclear receptors, PPARs and the PPARγ coactivator (PGC-1) [72]. PPARs have also been implicated as playing important roles in cancer progression [73]. CPT1A has also been shown to support the proliferation of leukemic cells and the knockdown or inhibition of CPT1A by a pharmacological inhibitor etomoxir (ETO) sensitizes leukemic cells to a chemotherapeutic drug, cytarabine [74]. In addition to CPT1A, AMPK regulates CPT1C expression to promote tumor growth upon metabolic stress in several types of cancer cells. Down-regulation of CPT1C enhances the sensitivity to mTOR inhibitor, rapamycin in cancer cells [75]. Only a few studies have reported the dysregulated CPT1B expression in colorectal and bladder cancers [76, 77]. A recent study has revealed the relationship between STAT3-induced CPT1B expression and chemoresistance in breast cancer cells [78].

In comparison to CPT1, relatively less studies have pointed out the roles of CPT2 and CACT in cancer. Knockdown of CPT2 significantly impedes the growth of MYC-overexpressing triple-negative breast cancer (TNBC) cells [79]. Another report also shows that depletion of CPT2 hinders TNBC growth via the down-regulation of the phosphorylated Src levels [80]. These data suggest an oncogenic role of CPT2 in TNBC. On the other hand, a meta-analysis has revealed that higher CPT2 expression is correlated with better outcome in colorectal cancer patients [81]. CACT has been found to be overexpressed in prostate cancer cells and down-regulated in bladder cancer [76, 82]. Therefore, the exact role of CACT in cancer progression and therapeutic resistance remains uncertain.

Fatty acid synthesis and cancer stemness

Similar to the expression patterns of lipogenic genes in cancer cells, several lipogenic genes are dysregulated in CSCs and are critical for CSC expansion and survival. However, how these genes are regulated in CSCs and why CSCs depend upon their lipogenic potential require further investigation. A recent study reported that glioma stem cells prefer to utilize glucose and acetate as carbon sources, compared with differentiated glioma cells [83]. In that study, FASN was concurrently expressed with glioma stem cell markers, including SOX2, CD133 and Nestin. In glioma stem cells, inhibition of FASN by the fatty acid synthesis inhibitor cerulenin decreases expression of glioma stem cell markers and reduces the number of tumorspheres formed [83]. In pancreatic CSCs, FASN is up-regulated and the inhibition efficacy of cerulenin is greater on pancreatic CSCs than on pancreatic cancer cells [84]. In breast CSCs, down-regulation of FASN by metformin via the induction of miR-193b leads to inhibition of mammosphere formation [85]. The antioxidant-like plant polyphenol resveratrol also decreases FASN to promote apoptosis in breast CSCs [86]. Taken together, these studies suggest that FASN is involved in promoting CSC survival.

ACLY also plays an important role in CSCs. In an in vitro lung cancer cell model, knockdown of ACLY inhibits epithelial–mesenchymal transition (EMT), a phenomenon often linked to cancer stemness, and results in a decrease of tumorsphere formation [87]. Treating MCF7 breast cancer cells with soraphen A, a specific inhibitor of ACC, significantly reduces the population of CSCs, as defined by CSC marker ALDEFLUOR. The effects of this inhibition are even greater in MCF7 cells overexpressing the proto-oncogene human epidermal growth factor receptor 2 (HER2) [88].

Elevated levels of unsaturated FAs have been observed in ovarian CSCs and it was recently reported that desaturases control the fate of ovarian CSCs [89, 90]. In these studies, inhibition of desaturases by CAY10566 or SC-26196 diminishes cancer stemness by reducing stemness markers, including SCD1, ALDH1A1 and SOX2. Blockade of FA desaturation impairs NF-κB signaling, which also directly regulates the unsaturation of FAs.

FAO and cancer stemness

FAO is composed of a cyclical series of catabolic reactions and results in the shortening of fatty acids (two carbons per cycle). It is an essential source of reduced nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FADH2), NADPH and ATP. NADH and FADH2 enter the electron transport chain to produce ATP, and NADPH protects cancer cells against metabolic stress and hypoxia [67]. As the key rate-limiting enzyme of FAO, CPT1 conjugates fatty acids with carnitine for translocation into the mitochondria; therefore, it controls FAO directly and thus facilitates cancer metabolic reprogramming. CPT1 also shares multiple connections with many other cellular signaling pathways often dysregulated in cancers, such as aerobic glycolysis, FAS, p53/AMPK axis, mutated RAS, mTOR and STAT3 [91, 92]. This evidence positions CPT1 as a multifunctional mediator in cancer pathogenesis and resistance to treatment.

In HER2-positive breast cancer cells, pharmacological inhibition of PPARγ by GW9662 results in a decrease in CSC number and down-regulated expression of CSC markers, presumably via increased production of reactive oxygen species (ROS) [93]. Whether the effects of PPARγ inhibition perturb the activity of FAO in HER2-positive breast CSCs remains unclear.

An interesting phenomenon has been observed in both leukemia and breast cancer. In leukemic cells, FAO is uncoupled from ATP synthesis and FA synthesis is enhanced to support FAO. Therefore, inhibiting FAO using ETO reduces the numbers of quiescent leukemic progenitors, which are able to initiate leukemia in the immune-deficient mice [74]. In breast cancer cells, prolonged treatment with the metabolic intermediate dimethyl α-ketoglutarate (DKG) leads to accumulation of succinate and fumarate, which induces hypoxia-inducible factor 1α (HIF-1α) to promote both glycolysis and OXPHOS to enable the plasticity of breast cancer cells. However, the increased OXPHOS is uncoupled from ATP synthesis and can be dampened by ETO, so the detected oxygen consumption presumably comes from FAO. Moreover, inhibiting both glycolysis and FAO by dichloroacetate and ETO respectively can decrease DKG-induced tumorsphere formation and accumulation of FAs was observed in DKG-treated breast cancer cells, suggesting that increased FAs may be utilized to support FAO [94]. It is likely that FA synthesis and FAO feed-forward with one another. Additional possible sources of FAs may come from reductive carboxylation [95, 96] or extracellular lysophospholipids through macropinocytosis [97]. Indeed, altered lipid metabolism appears to play a role in TNBC: TNBC and non-TNBC patient tissues can be discriminated based on markers of lipid metabolism [98, 99].

NANOG, a transcription factor and known stem cell marker, was recently reported to promote mitochondrial FAO in CSCs and support liver oncogenesis and drug resistance [100]. In that report, inhibition of FAO by ETO limits the expansion of CSCs and sensitizes CSCs to sorafenib kinase inhibitor treatment. In this case, it is possible that NANOG-positive cells become CSCs/TICs/DTPs to exert resistance to sorafenib. How NANOG regulates FAO and how FAO promote resistance warrant further investigation.

More recently, breast adipocyte-derived leptin was shown to activate JAK/STAT3 signaling through the leptin receptor to up-regulate CPT1B, leading to enhanced FAO in breast CSCs [78]. FAO is critical for maintaining breast CSCs and is associated with chemoresistance. Blocking FAO with perhexiline, an FDA-approved drug for treatment of angina and heart failure [101], can sensitize chemoresistant breast cancer cells to the mitotic inhibitor paclitaxel.

Perspectives

CSCs/TICs, a minor population of cells capable of self-renewal and tumor initiation, are tightly associated with cancer relapse, metastasis and chemoresistance. The theory of CSC origin is currently based on two models: hierarchical and stochastic. The classic hierarchical model suggests that only a subset of cancer cells has the ability to self-renew and divide [8, 102]. On the other hand, accumulating evidence supports the stochastic model that every cancer cell has the potential to be reprogrammed into a CSC when the appropriate cues are present [9,10,11,12]. DTPs are a relatively new concept in cancer treatment resistance. This subpopulation is responsible for the development of drug resistance and shares similar properties with CSCs/TICs, but does not fully resemble them. The chromatin state is altered in DTPs [18], suggesting that the chromatin has undergone remodeling, leading to reprogramming. However, how cancer cells are reprogrammed and what the appropriate cues are remain largely unknown. Aberrant FA metabolism in cancer has also been correlated with malignant phenotypes, poor prognosis and chemoresistance. Dysregulation of FA metabolism not only accumulates FAs, but also generates extra metabolic intermediates, which may be utilized as signaling molecules for enhancing oncogenic signaling. In the previous sections, we summarized irregular FA metabolism in CSCs/TICs. However, the exact mechanism of FA metabolism in regulating CSCs/TICs/DTPs survival and expansion remains unclear. Understanding whether FAs serve as building blocks for CSCs/TICs/DTPs and/or whether the metabolic intermediates generated from FA metabolism are important signaling molecules for maintaining CSCs/TICs/DTPs or reprogramming cancer cells to CSCs/TICs/DTPs has implications for combating cancer therapeutic resistance.

How FA metabolism is regulated in CSCs also remains an outstanding question. Since FAs are not only important nutrients in human metabolism but also play a significant role in the composition of lipid bilayer membranes, it is likely that FA metabolism determines cell fate in a growing number of physiological and pathological conditions. The therapeutic manipulation of FAO holds great promise for the diagnosis and treatment of a wide range of human diseases in clinical settings. The master regulator of FA synthesis, SREBP1, regulates FASN expression to activate FA synthesis in cancer cells [1]. However, very little is known about the role of SREBP1 in CSCs/TICs/DTPs. SREBP1 binds to c-Myc to promote pluripotent gene expression in somatic cells [103], suggesting a potential role for SREBP1 in promoting cancer stemness. In breast cancer cells, leptin and transforming growth factor β (TGFβ) co-regulate AMPK-mediated ACC phosphorylation, implying that FAO is also affected by these signals [58]. Leptin signaling can also increase CPT1B expression via the JAK/STAT3 pathway to promote FAO [78]. Both leptin and TGFβ are secreted by adipose tissue [104,105,106], suggesting that FA metabolism in cancer cells may be regulated by the surrounding adipose tissue. Indeed, obesity has been associated with increased cancer risk and tumor progression [107, 108]. It is possible that adipose tissue in the tumor microenvironment secretes hormones and growth factors to reprogram FA metabolism in cancer cells and to drive cancer cell plasticity and promote cancer stemness.

Inhibition of FASN reduces numbers of CSCs [83, 85, 86], suggesting that FA synthesis is important for CSC maintenance, but how FAs facilitate CSC survival and expansion is unknown. Unsaturated FAs accumulate in ovarian CSCs and can activate NF-κB to regulate downstream stemness gene expression [89]. However, the detailed mechanism of how these unsaturated FAs activate NF-κB remains unclear. The specific roles of various types of FAs in maintaining CSCs/TICs/DTPs are also unknown. Future studies could use lipidome analysis to identify the composition of FA species and their function in CSCs/TICs/DTPs. Further efforts focusing on the identification and quantification of many metabolites from FA metabolism in a biological sample as possible will serve as a translatable tool to provide personalized medicine for individuals.

We suggest that preclinical and clinical studies are needed to address several key mitochondrial FAO-related questions. The first question is why and how does FAO enable the survival of CSCs/TICs/DTPs. We posit that FAO could serve three purposes: first, as a means to reduce lipotoxicity from lipid intermediates [109]; second, to energetically and efficiently generate ATP (e.g. in long-lived cell types, such as memory T cells, that depend on FAO for survival [110]; and third, to contribute to the accumulation of acetyl-CoA in the cytoplasm for protein acetylation and FA synthesis. It is still not fully understood why CSCs/TICs/DTPs rely on FAO for survival. A possible explanation is that during the process of FAO, an increase of NADPH and ATP helps CSCs/TICs/DTPs to survive. Elevated ROS is detrimental to CSCs/TICs/DTPs [111, 112] and NADPH serves as an antioxidant to reduce ROS levels. Consistent with this, inhibition of FAO reduces NADPH and ATP, leading to an increase of ROS and cell death in glioma [113]. Another possibility is that increased FAO generates increased oxidized nicotinamide adenine dinucleotide (NAD+), a cofactor for sirtuins (SIRTs). SIRT1–7 activity is regulated by the NAD+/NADH ratio. This family of deacetylases plays an important role in regulating stemness, tumorigenesis and many other critical cellular processes [114]. Blocking FAO by ETO results in decreased NAD+/NADH ratio and SIRT1 activity [115].

The next question is how does FA metabolism participate in the reprogramming process from cancer cells to CSCs/TICs/DTPs. Acetyl-CoA is a central metabolic intermediate at which multiple metabolic pathways converge. It is critical for initiating de novo FA synthesis and for incorporation into the TCA cycle to generate energy following FAO. Acetyl-CoA can also be an important source of histone or protein acetylation, which regulates a wide range of gene expression and protein functions. Acetyl-CoA homeostasis is controlled by several key enzymes. ACLY responsible for converting glucose-derived citrate into acetyl-CoA, which then affects histone acetylation to regulate gene expression [116]. ACC1 phosphorylation, which results in ACC1 inhibition, leads to accumulation of cytosolic acetyl-CoA. Accumulated acetyl-CoA causes total protein acetylation, including acetylation of the signal transducer Smad2; this enhances Smad2 transcriptional activity and ultimately results in EMT and metastasis in breast cancer [58]. FAO-derived acetyl-CoA can acetylate mitochondrial proteins, but the function of this phenomenon remains unknown [117]. Moreover, acetylation of ACSS2 inhibits its activity; SIRT3 can reverse the acetylation and activate ACSS2 [118]. Cancer cells preferentially utilize acetate as their carbon source, not only for FA synthesis, but also for epigenetic regulation via modulation of histone acetylation and associated gene expression. ACSS2 plays an important role in converting acetate into acetyl-CoA. Therefore, it is also involved in acetate-mediated epigenetic regulation [119]. For example, ACSS2 is phosphorylated at serine 659 by AMPK under metabolic stress and translocated to nucleus to locally produce acetyl-CoA for histone acetylation at the promoter regions of genes involved in autophagosome and lysosome formation [120]. That study provides strong evidence linking metabolism to epigenetic regulation of gene expression.

Another intriguing question is how are differentiated cancer cells reprogrammed into a stem-like or drug-tolerant state and what signals drive the process of reprogramming. Acetyl-CoA-mediated histone acetylation is controlled by glucose availability in embryonic stem (ES) cells and is responsible for maintaining the pluripotency of ES cells [121]. However, the gene expression profile associated with histone acetylation has not been revealed. Not only glucose, but also lipids, can be metabolized into acetyl-CoA, which then becomes a major carbon source for histone acetylation [122]. Moreover, the enhancement of both FAO and FA accumulation in breast cancer cells is linked to the acquisition of stem-like properties [94], implying that maximally functioning FA catabolism and anabolism may continuously provide acetyl-CoA for chromatin remodeling and reprogramming. Taken together, this suggests that lipid-derived acetyl-CoA is a major signaling metabolite that can reprogram cancer cells to acquire malignant phenotypes. Blockade of FAO with CPT inhibitors (e.g. ETO or perhexiline) or combination of FAO inhibitors with FASN inhibitors may hold hope for combating therapeutic resistance by eliminating CSCs/TICs/DTPs.

Lastly, both the lipogenic phenotype and cancer stemness can be induced by hypoxia [94, 123,124,125,126], suggesting that hypoxic signaling could be a converging pathway for both phenotypes. HIF-1α is the major regulator of hypoxic signaling, and a hypoxia- or pseudohypoxia-induced lipogenic phenotype can be HIF-1α-dependent [94, 126]. Moreover, HIF-1α induces expression of stemness factors, including Oct-4 and NANOG, and cancer cell plasticity observed in breast cancer is also dependent on HIF-1α [94, 125]. Therefore, HIF-1α may be an ideal target for shutting down both FA metabolism and stemness signaling in cancer cells, and ultimately preventing the conversion from cancer cells to CSCs/TICs/DTPs (Fig. 2).

Fig. 2
figure2

Potential roles of fatty acid metabolism in regulating cancer cell plasticity. Cancer cells can be reprogrammed into a cancer stemness state or drug-tolerant state with appropriate cues. It has been shown that adipocytes in the tumor microenvironment secrete leptin, transforming growth factor β (TGFβ) or other hormones and growth factors that support conversion of cancer cells into more malignant cell types, including cancer stem cells/tumor-initiating cells or drug-tolerant persisters. Acetyl-CoA is a central hub for multiple metabolic pathways including FA synthesis and FAO. Therefore, acetyl-CoA might be a major carbon source for histone acetylation and regulating gene expression for reprogramming. ACSS2 is phosphorylated and transferred to nucleus for histone acetylation. Some transcription factors, including hypoxia inducible factor-1α (HIF-1α), signal transducer and activator of transcription 3 (STAT3) and SMAD family member 2 (Smad2), are also involved in the conversion and may drive cancer cell plasticity

Full size image

Conclusions

FA metabolism has drawn increasing attention in recent years. Particularly, the association between FA synthesis and the resulting lipogenic phenotype with cancer progression has been well-documented. However, fewer studies have focused on the role of FAO in CSCs/TICs/DTPs. Here, we have summarized evidences showing the relationship among FA metabolism, cancer stemness and therapeutic resistance and also discussed potential issues that may warrant further investigations. In the future, with more detailed mechanistic findings, therapeutic targeting of FA metabolism may be used to eradicate CSCs/TICs/DTPs and combat cancer more effectively.

Abbreviations

ACC:

acetyl-CoA carboxylase

ACLY:

ATP-citrate lyase

ACSS2:

acyl-CoA synthetase short-chain family member 2

AMPK:

AMP-activated kinase

CACT:

carnitine acylcarnitine translocase

CPT1:

carnitine/palmitoyl-transferase 1

CSC:

cancer stem cells

DKG:

dimethyl α-ketoglutarate

DTP:

drug-tolerant persisters

EMT:

epithelial–mesenchymal transition

ES:

embryonic stem

ETO:

etomoxir

FA:

fatty acid

FADH2:

flavin adenine dinucleotide

FAO:

fatty acid oxidation

FASN:

fatty acid synthase

HER2:

human epidermal growth factor receptor 2

HIF1α:

hypoxia-inducible factor 1α

JAK:

janus kinase

NAD+ :

oxidized nicotinamide adenine dinucleotide

NADH:

reduced nicotinamide adenine dinucleotide

NADPH:

nicotinamide adenine dinucleotide phosphate

OXPHOS:

oxidative phosphorylation

PPAR:

peroxisome proliferator-activated receptors

ROS:

reactive oxygen species

SIRT:

sirtuin

SREBP1:

sterol regulatory element-binding protein 1c

STAT3:

signal transducer and activator of transcription 3

TCA cycle:

tricarboxylic acid cycle

TGF:

transforming growth factor

TIC:

tumor-initiating cells

TNBC:

triple-negative breast cancer

References

  1. 1.

    Rohrig F, Schulze A. The multifaceted roles of fatty acid synthesis in cancer. Nat Rev Cancer. 2016;16(11):732–49. https://doi.org/10.1038/nrc.2016.89.

    PubMed  Article  CAS  Google Scholar 

  2. 2.

    Beloribi-Djefaflia S, Vasseur S, Guillaumond F. Lipid metabolic reprogramming in cancer cells. Oncogenesis. 2016;5:e189. https://doi.org/10.1038/oncsis.2015.49.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  3. 3.

    Tirinato L, Pagliari F, Limongi T, Marini M, Falqui A, Seco J, et al. An overview of lipid droplets in cancer and cancer stem cells. Stem Cells Int. 2017;2017:17. https://doi.org/10.1155/2017/1656053.

    Article  Google Scholar 

  4. 4.

    Tirinato L, Liberale C, Di Franco S, Candeloro P, Benfante A, La Rocca R, et al. Lipid droplets: a new player in colorectal cancer stem cells unveiled by spectroscopic imaging. Stem Cells. 2015;33(1):35–44. https://doi.org/10.1002/stem.1837.

    PubMed  Article  CAS  Google Scholar 

  5. 5.

    Koizume S, Miyagi Y. Lipid droplets: a key cellular organelle associated with cancer cell survival under normoxia and hypoxia. Int J Mol Sci. 2016;17(9):1430. https://doi.org/10.3390/ijms17091430.

    PubMed Central  Article  CAS  Google Scholar 

  6. 6.

    Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF. Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci USA. 2003;100:3982–8. https://doi.org/10.1073/pnas.0530291100.

    Article  CAS  Google Scholar 

  7. 7.

    O’Brien CA, Kreso A, Jamieson CHM. Cancer stem cells and self-renewal. Clin Cancer Res. 2010;16(12):3113.

    PubMed  Article  Google Scholar 

  8. 8.

    Lobo NA, Shimono Y, Qian D, Clarke MF. The biology of cancer stem cells. Annu Rev Cell Dev Biol. 2007;23(1):675–99. https://doi.org/10.1146/annurev.cellbio.22.010305.104154.

    PubMed  Article  CAS  Google Scholar 

  9. 9.

    Chaffer CL, Brueckmann I, Scheel C, Kaestli AJ, Wiggins PA, Rodrigues LO, et al. Normal and neoplastic nonstem cells can spontaneously convert to a stem-like state. Proc Natl Acad Sci. 2011;108(19):7950–5. https://doi.org/10.1073/pnas.1102454108.

    PubMed  Article  Google Scholar 

  10. 10.

    Chaffer Christine L, Marjanovic Nemanja D, Lee T, Bell G, Kleer Celina G, Reinhardt F, et al. Poised chromatin at the ZEB1 promoter enables breast cancer cell plasticity and enhances tumorigenicity. Cell. 2013;154(1):61–74. https://doi.org/10.1016/j.cell.2013.06.005.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  11. 11.

    Gupta Piyush B, Fillmore Christine M, Jiang G, Shapira Sagi D, Tao K, Kuperwasser C, et al. Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells. Cell. 2011;146(4):633–44. https://doi.org/10.1016/j.cell.2011.07.026.

    PubMed  Article  CAS  Google Scholar 

  12. 12.

    Roesch A, Fukunaga-Kalabis M, Schmidt EC, Zabierowski SE, Brafford PA, Vultur A, et al. A temporarily distinct subpopulation of slow-cycling melanoma cells is required for continuous tumor growth. Cell. 2010;141(4):583–94.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  13. 13.

    Chen W, Dong J, Haiech J, Kilhoffer M-C, Zeniou M. Cancer stem cell quiescence and plasticity as major challenges in cancer therapy. Stem Cells Int. 2016;2016:1740936. https://doi.org/10.1155/2016/1740936.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  14. 14.

    Deheeger M, Lesniak MS, Ahmed AU. Cellular plasticity regulated cancer stem cell niche: a possible new mechanism of chemoresistance. Cancer Cell Microenviron. 2014;1(5):e295. https://doi.org/10.14800/ccm.295.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  15. 15.

    Borst P. Cancer drug pan-resistance: pumps, cancer stem cells, quiescence, epithelial to mesenchymal transition, blocked cell death pathways, persisters or what? Open Biol. 2012;2(5):120066. https://doi.org/10.1098/rsob.120066.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  16. 16.

    Dannenberg J-H, Berns A. Drugging drug resistance. Cell. 2010;141(1):18–20. https://doi.org/10.1016/j.cell.2010.03.020.

    PubMed  Article  CAS  Google Scholar 

  17. 17.

    Ramirez M, Rajaram S, Steininger RJ, Osipchuk D, Roth MA, Morinishi LS et al. Diverse drug-resistance mechanisms can emerge from drug-tolerant cancer persister cells. Nat Commun. 2016;7:10690. https://doi.org/10.1038/ncomms10690 https://www.nature.com/articles/ncomms10690#supplementary-information.

  18. 18.

    Sharma SV, Lee DY, Li B, Quinlan MP, Takahashi F, Maheswaran S, et al. A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations. Cell. 2010;141(1):69–80. https://doi.org/10.1016/j.cell.2010.02.027.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  19. 19.

    Peiris-Pagès M, Martinez-Outschoorn UE, Pestell RG, Sotgia F, Lisanti MP. Cancer stem cell metabolism. Breast Cancer Res. 2016;18:55. https://doi.org/10.1186/s13058-016-0712-6.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  20. 20.

    Sancho P, Barneda D, Heeschen C. Hallmarks of cancer stem cell metabolism. Br J Cancer. 2016;114(12):1305–12. https://doi.org/10.1038/bjc.2016.152.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  21. 21.

    Vlashi E, Pajonk F. The metabolic state of cancer stem cells—a valid target for cancer therapy? Free Radic Biol Med. 2015;79:264–8. https://doi.org/10.1016/j.freeradbiomed.2014.10.732.

    PubMed  Article  CAS  Google Scholar 

  22. 22.

    Dando I, Dalla Pozza E, Biondani G, Cordani M, Palmieri M, Donadelli M. The metabolic landscape of cancer stem cells. IUBMB Life. 2015;67(9):687–93. https://doi.org/10.1002/iub.1426.

    PubMed  Article  CAS  Google Scholar 

  23. 23.

    Hirsch HA, Iliopoulos D, Tsichlis PN, Struhl K. Metformin selectively targets cancer stem cells, and acts together with chemotherapy to block tumor growth and prolong remission. Can Res. 2009;69(19):7507–11. https://doi.org/10.1158/0008-5472.CAN-09-2994.

    Article  CAS  Google Scholar 

  24. 24.

    Viollet B, Guigas B, Sanz Garcia N, Leclerc J, Foretz M, Andreelli F. Cellular and molecular mechanisms of metformin: an overview. Clin Sci. 2012;122(6):253–70. https://doi.org/10.1042/cs20110386.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  25. 25.

    Dong C, Yuan T, Wu Y, Wang Y, Fan Teresa WM, Miriyala S, et al. Loss of FBP1 by snail-mediated repression provides metabolic advantages in basal-like breast cancer. Cancer Cell. 2013;23(3):316–31. https://doi.org/10.1016/j.ccr.2013.01.022.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  26. 26.

    De Luca A, Fiorillo M, Peiris-Pagès M, Ozsvari B, Smith DL, Sanchez-Alvarez R, et al. Mitochondrial biogenesis is required for the anchorage-independent survival and propagation of stem-like cancer cells. Oncotarget. 2015;6(17):14777–95.

    PubMed  PubMed Central  Google Scholar 

  27. 27.

    Pastò A, Bellio C, Pilotto G, Ciminale V, Silic-Benussi M, Guzzo G, et al. Cancer stem cells from epithelial ovarian cancer patients privilege oxidative phosphorylation, and resist glucose deprivation. Oncotarget. 2014;5(12):4305–19.

    PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Medes G, Thomas A, Weinhouse S. Metabolism of neoplastic tissue. IV. A study of lipid synthesis in neoplastic tissue slices in vitro. Can Res. 1953;13(1):27.

    CAS  Google Scholar 

  29. 29.

    Menendez JA, Lupu R. Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis. Nat Rev Cancer. 2007;7(10):763–77.

    PubMed  Article  CAS  Google Scholar 

  30. 30.

    Al-Bahlani S, Al-Lawati H, Al-Adawi M, Al-Abri N, Al-Dhahli B, Al-Adawi K. Fatty acid synthase regulates the chemosensitivity of breast cancer cells to cisplatin-induced apoptosis. Apoptosis. 2017;22(6):865–76. https://doi.org/10.1007/s10495-017-1366-2.

    PubMed  Article  CAS  Google Scholar 

  31. 31.

    Bauerschlag DO, Maass N, Leonhardt P, Verburg FA, Pecks U, Zeppernick F, et al. Fatty acid synthase overexpression: target for therapy and reversal of chemoresistance in ovarian cancer. J Transl Med. 2015;13(1):146. https://doi.org/10.1186/s12967-015-0511-3.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  32. 32.

    Cai Y, Wang J, Zhang L, Wu D, Yu D, Tian X, et al. Expressions of fatty acid synthase and HER2 are correlated with poor prognosis of ovarian cancer. Med Oncol. 2015;32:391. https://doi.org/10.1007/s12032-014-0391-z.

    PubMed  Article  CAS  Google Scholar 

  33. 33.

    Dehghan-Nayeri NGA, Goudarzi Pour K, Eshghi P. Over expression of the fatty acid synthase is a strong predictor of poor prognosis and contributes to glucocorticoid resistance in B-cell acute lymphoblastic leukemia. World Cancer Res J. 2016;3(3):e746.

    Google Scholar 

  34. 34.

    Lupu R, Menendez JA. Targeting fatty acid synthase in breast and endometrial cancer: an alternative to selective estrogen receptor modulators? Endocrinology. 2006;147(9):4056–66. https://doi.org/10.1210/en.2006-0486.

    PubMed  Article  CAS  Google Scholar 

  35. 35.

    Wu X, Dong Z, Wang CJ, Barlow LJ, Fako V, Serrano MA, et al. FASN regulates cellular response to genotoxic treatments by increasing PARP-1 expression and DNA repair activity via NF-κB and SP1. Proc Natl Acad Sci. 2016;113(45):E6965–73. https://doi.org/10.1073/pnas.1609934113.

    Article  CAS  Google Scholar 

  36. 36.

    Flavin R, Peluso S, Nguyen PL, Loda M. Fatty acid synthase as a potential therapeutic target in cancer. Future Oncol. 2010;6(4):551–62. https://doi.org/10.2217/fon.10.11.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  37. 37.

    Graner E, Tang D, Rossi S, Baron A, Migita T, Weinstein LJ, et al. The isopeptidase USP2a regulates the stability of fatty acid synthase in prostate cancer. Cancer Cell. 2004;5(3):253–61. https://doi.org/10.1016/S1535-6108(04)00055-8.

    PubMed  Article  CAS  Google Scholar 

  38. 38.

    Zaidi N, Swinnen JV, Smans K. ATP-citrate lyase: a key player in cancer metabolism. Can Res. 2012;72(15):3709.

    Article  CAS  Google Scholar 

  39. 39.

    Qian X, Hu J, Zhao J, Chen H. ATP citrate lyase expression is associated with advanced stage and prognosis in gastric adenocarcinoma. Int J Clin Exp Med. 2015;8(5):7855–60.

    PubMed  PubMed Central  CAS  Google Scholar 

  40. 40.

    Wang D, Yin L, Wei J, Yang Z, Jiang G. ATP citrate lyase is increased in human breast cancer, depletion of which promotes apoptosis. Tumor Biol. 2017;39(4):1010428317698338. https://doi.org/10.1177/1010428317698338.

    Article  Google Scholar 

  41. 41.

    Wang YU, Wang Y, Shen L, Pang Y, Qiao Z, Liu P. Prognostic and therapeutic implications of increased ATP citrate lyase expression in human epithelial ovarian cancer. Oncol Rep. 2012;27(4):1156–62. https://doi.org/10.3892/or.2012.1638.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  42. 42.

    Zhou Y, Bollu LR, Tozzi F, Ye X, Bhattacharya R, Gao G, et al. ATP citrate lyase mediates resistance of colorectal cancer cells to SN38. Mol Cancer Ther. 2013;12(12):2782–91. https://doi.org/10.1158/1535-7163.MCT-13-0098.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  43. 43.

    Sato R, Okamoto A, Inoue J, Miyamoto W, Sakai Y, Emoto N, et al. Transcriptional regulation of the ATP citrate-lyase gene by sterol regulatory element-binding proteins. J Biol Chem. 2000;275(17):12497–502. https://doi.org/10.1074/jbc.275.17.12497.

    PubMed  Article  CAS  Google Scholar 

  44. 44.

    Migita T, Narita T, Nomura K, Miyagi E, Inazuka F, Matsuura M, et al. ATP citrate lyase: activation and therapeutic implications in non-small cell lung cancer. Can Res. 2008;68(20):8547.

    Article  CAS  Google Scholar 

  45. 45.

    Pierce MW, Palmer JL, Keutmann HT, Avruch J. ATP-citrate lyase. Structure of a tryptic peptide containing the phosphorylation site directed by glucagon and the cAMP-dependent protein kinase. J Biol Chem. 1981;256(17):8867–70.

    PubMed  CAS  Google Scholar 

  46. 46.

    Wagner PD, Vu N-D. Phosphorylation of ATP-citrate lyase by nucleoside diphosphate kinase. J Biol Chem. 1995;270(37):21758–64. https://doi.org/10.1074/jbc.270.37.21758.

    PubMed  Article  CAS  Google Scholar 

  47. 47.

    Moncur JT, Park JP, Memoli VA, Mohandas TK, Kinlaw WB. The “Spot 14” gene resides on the telomeric end of the 11q13 amplicon and is expressed in lipogenic breast cancers: implications for control of tumor metabolism. Proc Natl Acad Sci USA. 1998;95(12):6989–94.

    PubMed  Article  CAS  Google Scholar 

  48. 48.

    Svensson RU, Parker SJ, Eichner LJ, Kolar MJ, Wallace M, Brun SN et al. Inhibition of acetyl-CoA carboxylase suppresses fatty acid synthesis and tumor growth of non-small-cell lung cancer in preclinical models. Nat Med. 2016;22(10):1108–19. https://doi.org/10.1038/nm.4181 http://www.nature.com/nm/journal/v22/n10/abs/nm.4181.html#supplementary-information.

  49. 49.

    Fang W, Cui H, Yu D, Chen Y, Wang J, Yu G. Increased expression of phospho-acetyl-CoA carboxylase protein is an independent prognostic factor for human gastric cancer without lymph node metastasis. Med Oncol. 2014;31(7):15. https://doi.org/10.1007/s12032-014-0015-7.

    PubMed  Article  CAS  Google Scholar 

  50. 50.

    Wakil SJ, Abu-Elheiga LA. Fatty acid metabolism: target for metabolic syndrome. J Lipid Res. 2009;50(Supplement):S138–43. https://doi.org/10.1194/jlr.R800079-JLR200.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  51. 51.

    Currie E, Schulze A, Zechner R, Walther TC, Farese RV. Cellular fatty acid metabolism and cancer. Cell Metab. 2013;18(2):153–61. https://doi.org/10.1016/j.cmet.2013.05.017.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  52. 52.

    Wang Y, Viscarra J, Kim S-J, Sul HS. Transcriptional regulation of hepatic lipogenesis. Nat Rev Mol Cell Biol. 2015;16:678. https://doi.org/10.1038/nrm4074.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  53. 53.

    Zhao LF, Iwasaki Y, Zhe W, Nishiyama M, Taguchi T, Tsugita M, et al. Hormonal regulation of acetyl-CoA carboxylase isoenzyme gene transcription. Endocr J. 2010;57(4):317–24. https://doi.org/10.1507/endocrj.K09E-298.

    PubMed  Article  CAS  Google Scholar 

  54. 54.

    Hardie DG. AMPK: a key regulator of energy balance in the single cell and the whole organism. Int J Obes. 2008;32:S7. https://doi.org/10.1038/ijo.2008.116.

    Article  CAS  Google Scholar 

  55. 55.

    Cho YS, Lee JI, Shin D, Kim HT, Jung HY, Lee TG, et al. Molecular mechanism for the regulation of human ACC2 through phosphorylation by AMPK. Biochem Biophys Res Commun. 2010;391(1):187–92. https://doi.org/10.1016/j.bbrc.2009.11.029.

    PubMed  Article  CAS  Google Scholar 

  56. 56.

    Munday MR, Campbell DG, Carling D, Hardie DG. Identification by amino acid sequencing of three major regulatory phosphorylation sites on rat acetyl-CoA carboxylase. Eur J Biochem. 1988;175(2):331–8. https://doi.org/10.1111/j.1432-1033.1988.tb14201.x.

    PubMed  Article  CAS  Google Scholar 

  57. 57.

    Fullerton MD, Galic S, Marcinko K, Sikkema S, Pulinilkunnil T, Chen Z-P et al. Single phosphorylation sites in Acc1 and Acc2 regulate lipid homeostasis and the insulin-sensitizing effects of metformin. Nat Med. 2013;19:1649. https://doi.org/10.1038/nm.3372 https://www.nature.com/articles/nm.3372#supplementary-information.

  58. 58.

    Rios Garcia M, Steinbauer B, Srivastava K, Singhal M, Mattijssen F, Maida A, et al. Acetyl-CoA carboxylase 1-dependent protein acetylation controls breast cancer metastasis and recurrence. Cell Metab. 2017;26(6):842–55. https://doi.org/10.1016/j.cmet.2017.09.018.

    PubMed  Article  CAS  Google Scholar 

  59. 59.

    Luo J, Hong Y, Lu Y, Qiu S, Chaganty BKR, Zhang L, et al. Acetyl-CoA carboxylase rewires cancer metabolism to allow cancer cells to survive inhibition of the Warburg effect by cetuximab. Cancer Lett. 2017;384:39–49. https://doi.org/10.1016/j.canlet.2016.09.020.

    PubMed  Article  CAS  Google Scholar 

  60. 60.

    Watkins PA, Maiguel D, Jia Z, Pevsner J. Evidence for 26 distinct acyl-coenzyme A synthetase genes in the human genome. J Lipid Res. 2007;48(12):2736–50. https://doi.org/10.1194/jlr.M700378-JLR200.

    PubMed  Article  CAS  Google Scholar 

  61. 61.

    Schug ZT, Peck B, Jones DT, Zhang Q, Grosskurth S, Alam IS, et al. Acetyl-CoA synthetase 2 promotes acetate utilization and maintains cancer cell growth under metabolic stress. Cancer Cell. 2015;27(1):57–71. https://doi.org/10.1016/j.ccell.2014.12.002.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  62. 62.

    Comerford SA, Huang Z, Du X, Wang Y, Cai L, Witkiewicz AK, et al. Acetate dependence of tumors. Cell. 2014;159(7):1591–602. https://doi.org/10.1016/j.cell.2014.11.020.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  63. 63.

    Mashimo T, Pichumani K, Vemireddy V, Hatanpaa KJ, Singh DK, Sirasanagandla S, et al. Acetate is a bioenergetic substrate for human glioblastoma and brain metastases. Cell. 2014;159(7):1603–14. https://doi.org/10.1016/j.cell.2014.11.025.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  64. 64.

    Björnson E, Mukhopadhyay B, Asplund A, Pristovsek N, Cinar R, Romeo S, et al. Stratification of hepatocellular carcinoma patients based on acetate utilization. Cell Rep. 2015;13(9):2014–26. https://doi.org/10.1016/j.celrep.2015.10.045.

    PubMed  Article  CAS  Google Scholar 

  65. 65.

    Luong A, Hannah VC, Brown MS, Goldstein JL. Molecular characterization of human acetyl-CoA synthetase, an enzyme regulated by sterol regulatory element-binding proteins. J Biol Chem. 2000;275(34):26458–66. https://doi.org/10.1074/jbc.M004160200.

    PubMed  Article  CAS  Google Scholar 

  66. 66.

    Sone H, Shimano H, Sakakura Y, Inoue N, Amemiya-Kudo M, Yahagi N, et al. Acetyl-coenzyme A synthetase is a lipogenic enzyme controlled by SREBP-1 and energy status. Am J Physiol Endocrinol Metab. 2002;282(1):E222.

    PubMed  Article  CAS  Google Scholar 

  67. 67.

    Carracedo A, Cantley LC, Pandolfi PP. Cancer metabolism: fatty acid oxidation in the limelight. Nat Rev Cancer. 2013;13(4):227–32. https://doi.org/10.1038/nrc3483.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  68. 68.

    Schreurs M, Kuipers F, Van Der Leij FR. Regulatory enzymes of mitochondrial β-oxidation as targets for treatment of the metabolic syndrome. Obes Rev. 2010;11(5):380–8. https://doi.org/10.1111/j.1467-789X.2009.00642.x.

    PubMed  Article  CAS  Google Scholar 

  69. 69.

    Schlaepfer IR, Rider L, Rodrigues LU, Gijón MA, Pac CT, Romero L, et al. Lipid catabolism via CPT1 as a therapeutic target for prostate cancer. Mol Cancer Ther. 2014;13(10):2361.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  70. 70.

    Flaig TW, Salzmann-Sullivan M, Su L-J, Zhang Z, Joshi M, Gijón MA, et al. Lipid catabolism inhibition sensitizes prostate cancer cells to antiandrogen blockade. Oncotarget. 2017;8(34):56051–65. https://doi.org/10.18632/oncotarget.17359.

    PubMed  PubMed Central  Article  Google Scholar 

  71. 71.

    Pucci S, Zonetti MJ, Fisco T, Polidoro C, Bocchinfuso G, Palleschi A, et al. Carnitine palmitoyl transferase-1A (CPT1A): a new tumor specific target in human breast cancer. Oncotarget. 2016;7(15):19982–96. https://doi.org/10.18632/oncotarget.6964.

    PubMed  PubMed Central  Article  Google Scholar 

  72. 72.

    Song S, Attia RR, Connaughton S, Niesen MI, Ness GC, Elam MB, et al. Peroxisome proliferator activated receptor α (PPARα) and PPAR gamma coactivator (PGC-1α) induce carnitine palmitoyltransferase IA (CPT-1A) via independent gene elements. Mol Cell Endocrinol. 2010;325(1–2):54–63. https://doi.org/10.1016/j.mce.2010.05.019.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  73. 73.

    Tachibana K, Yamasaki D, Ishimoto K, Doi T. The role of PPARs in cancer. PPAR Res. 2008;2008:102737. https://doi.org/10.1155/2008/102737.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  74. 74.

    Samudio I, Harmancey R, Fiegl M, Kantarjian H, Konopleva M, Korchin B, et al. Pharmacologic inhibition of fatty acid oxidation sensitizes human leukemia cells to apoptosis induction. J Clin Investig. 2010;120(1):142–56. https://doi.org/10.1172/JCI38942.

    PubMed  Article  CAS  Google Scholar 

  75. 75.

    Zaugg K, Yao Y, Reilly PT, Kannan K, Kiarash R, Mason J, et al. Carnitine palmitoyltransferase 1C promotes cell survival and tumor growth under conditions of metabolic stress. Genes Dev. 2011;25(10):1041–51. https://doi.org/10.1101/gad.1987211.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  76. 76.

    Kim WT, Yun SJ, Yan C, Jeong P, Kim YH, Lee I-S, et al. Metabolic pathway signatures associated with urinary metabolite biomarkers differentiate bladder cancer patients from healthy controls. Yonsei Med J. 2016;57(4):865–71. https://doi.org/10.3349/ymj.2016.57.4.865.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  77. 77.

    Yeh C-S, Wang J-Y, Cheng T-L, Juan C-H, Wu C-H, Lin S-R. Fatty acid metabolism pathway play an important role in carcinogenesis of human colorectal cancers by microarray-bioinformatics analysis. Cancer Lett. 2006;233(2):297–308. https://doi.org/10.1016/j.canlet.2005.03.050.

    PubMed  Article  CAS  Google Scholar 

  78. 78.

    Wang T, Fahrmann JF, Lee H, Li Y-J, Tripathi SC, Yue C, et al. JAK/STAT3-regulated fatty acid β-oxidation is critical for breast cancer stem cell self-renewal and chemoresistance. Cell Metab. 2018;27(1):136–50. https://doi.org/10.1016/j.cmet.2017.11.001.

    PubMed  Article  CAS  Google Scholar 

  79. 79.

    Camarda R, Zhou Z, Kohnz RA, Balakrishnan S, Mahieu C, Anderton B, et al. Inhibition of fatty acid oxidation as a therapy for MYC-overexpressing triple-negative breast cancer. Nat Med. 2016;22(4):427–32. https://doi.org/10.1038/nm.4055.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  80. 80.

    Park JH, Vithayathil S, Kumar S, Sung P-L, Dobrolecki LE, Putluri V, et al. Fatty acid oxidation-driven src links mitochondrial energy reprogramming and regulation of oncogenic properties in triple negative breast cancer. Cell Rep. 2016;14(9):2154–65. https://doi.org/10.1016/j.celrep.2016.02.004.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  81. 81.

    Guo H, Zeng W, Feng L, Yu X, Li P, Zhang K, et al. Integrated transcriptomic analysis of distance-related field cancerization in rectal cancer patients. Oncotarget. 2017;8(37):61107–17. https://doi.org/10.18632/oncotarget.17864.

    PubMed  PubMed Central  Article  Google Scholar 

  82. 82.

    Valentino A, Calarco A, Di SA, Finicelli M, Crispi S, Calogero RA et al. Deregulation of microRNAs mediated control of carnitine cycle in prostate cancer: molecular basis and pathophysiological consequences. Oncogene. 2017;36:6030. https://doi.org/10.1038/onc.2017.216. https://www.nature.com/articles/onc2017216#supplementary-information.

  83. 83.

    Yasumoto Y, Miyazaki H, Vaidyan LK, Kagawa Y, Ebrahimi M, Yamamoto Y, et al. Inhibition of fatty acid synthase decreases expression of stemness markers in glioma stem cells. PLoS ONE. 2016;11(1):e0147717. https://doi.org/10.1371/journal.pone.0147717.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  84. 84.

    Brandi J, Dando I, Pozza ED, Biondani G, Jenkins R, Elliott V, et al. Proteomic analysis of pancreatic cancer stem cells: functional role of fatty acid synthesis and mevalonate pathways. J Proteomics. 2017;150(Supplement C):310–22. https://doi.org/10.1016/j.jprot.2016.10.002.

    PubMed  Article  CAS  Google Scholar 

  85. 85.

    Wahdan-Alaswad RS, Cochrane DR, Spoelstra NS, Howe EN, Edgerton SM, Anderson SM, et al. Metformin-induced killing of triple-negative breast cancer cells is mediated by reduction in fatty acid synthase via miRNA-193b. Horm Cancer. 2014;5(6):374–89. https://doi.org/10.1007/s12672-014-0188-8.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  86. 86.

    Pandey PR, Okuda H, Watabe M, Pai SK, Liu W, Kobayashi A, et al. Resveratrol suppresses growth of cancer stem-like cells by inhibiting fatty acid synthase. Breast Cancer Res Treat. 2011;130(2):387–98. https://doi.org/10.1007/s10549-010-1300-6.

    PubMed  Article  CAS  Google Scholar 

  87. 87.

    Hanai Ji, Doro N, Seth P, Sukhatme VP. ATP citrate lyase knockdown impacts cancer stem cells in vitro. Cell Death Dis. 2013;4:e696. https://doi.org/10.1038/cddis.2013.215. https://www.nature.com/articles/cddis2013215#supplementary-information.

  88. 88.

    Corominas-Faja B, Cuyàs E, Gumuzio J, Bosch-Barrera J, Leis O, Martin ÁG, et al. Chemical inhibition of acetyl-CoA carboxylase suppresses self-renewal growth of cancer stem cells. Oncotarget. 2014;5(18):8306–16.

    PubMed  PubMed Central  Article  Google Scholar 

  89. 89.

    Li J, Condello S, Thomes-Pepin J, Ma X, Xia Y, Hurley TD, et al. Lipid desaturation is a metabolic marker and therapeutic target of ovarian cancer stem cells. Cell Stem Cell. 2017;20(3):303–14. https://doi.org/10.1016/j.stem.2016.11.004.

    PubMed  Article  CAS  Google Scholar 

  90. 90.

    Parrales A, Ranjan A, Iwakuma T. Unsaturated fatty acids regulate stemness of ovarian cancer cells through NF-κB. Stem Cell Investig. 2017;4(6):49.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  91. 91.

    Qu Q, Zeng F, Liu X, Wang QJ, Deng F. Fatty acid oxidation and carnitine palmitoyltransferase I: emerging therapeutic targets in cancer. Cell Death Dis. 2016;7(5):e2226. https://doi.org/10.1038/cddis.2016.132.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  92. 92.

    Wang X, Yao J, Wang J, Zhang Q, Brady SW, Arun B, et al. Targeting aberrant p70S6K activation for estrogen receptor–negative breast cancer prevention. Cancer Prev Res. 2017;10(11):641–50. https://doi.org/10.1158/1940-6207.CAPR-17-0106.

    Article  CAS  Google Scholar 

  93. 93.

    Wang X, Sun Y, Wong J, Conklin DS. PPAR[gamma] maintains ERBB2-positive breast cancer stem cells. Oncogene. 2013;32(49):5512–21. https://doi.org/10.1038/onc.2013.217.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  94. 94.

    Kuo C-Y, Cheng C-T, Hou P, Lin Y-P, Ma H, Chung Y, et al. HIF-1-alpha links mitochondrial perturbation to the dynamic acquisition of breast cancer tumorigenicity. Oncotarget. 2016;7(23):34052–69. https://doi.org/10.18632/oncotarget.8570.

    PubMed  PubMed Central  Article  Google Scholar 

  95. 95.

    Jiang L, Shestov AA, Swain P, Yang C, Parker SJ, Wang QA et al. Reductive carboxylation supports redox homeostasis during anchorage-independent growth. Nature. 2016;532:255. https://doi.org/10.1038/nature17393. https://www.nature.com/articles/nature17393#supplementary-information.

  96. 96.

    Metallo CM, Gameiro PA, Bell EL, Mattaini KR, Yang J, Hiller K et al. Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia. Nature. 2011;481:380. https://doi.org/10.1038/nature10602. https://www.nature.com/articles/nature10602#supplementary-information.

  97. 97.

    Palm W, Park Y, Wright K, Pavlova NN, Tuveson DA, Thompson CB. The utilization of extracellular proteins as nutrients is suppressed by mTORC1. Cell. 2015;162(2):259–70. https://doi.org/10.1016/j.cell.2015.06.017.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  98. 98.

    Jung YY, Kim HM, Koo JS. Expression of lipid metabolism-related proteins in metastatic breast cancer. PLoS ONE. 2015;10(9):e0137204. https://doi.org/10.1371/journal.pone.0137204.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  99. 99.

    Kim S, Lee Y, Koo JS. Differential expression of lipid metabolism-related proteins in different breast cancer subtypes. PLoS ONE. 2015;10(3):e0119473. https://doi.org/10.1371/journal.pone.0119473.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  100. 100.

    Chen C-L, Uthaya Kumar D, Punj V, Xu J, Sher L, Tahara S, et al. NANOG metabolically reprograms tumor-initiating stem-like cells through tumorigenic changes in oxidative phosphorylation and fatty acid metabolism. Cell Metab. 2016;23(1):206–19. https://doi.org/10.1016/j.cmet.2015.12.004.

    PubMed  Article  CAS  Google Scholar 

  101. 101.

    Yin X, Dwyer J, Langley SR, Mayr U, Xing Q, Drozdov I, et al. Effects of perhexiline-induced fuel switch on the cardiac proteome and metabolome. J Mol Cell Cardiol. 2013;55(Supplement C):27–30. https://doi.org/10.1016/j.yjmcc.2012.12.014.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  102. 102.

    Nguyen LV, Vanner R, Dirks P, Eaves CJ. Cancer stem cells: an evolving concept. Nat Rev Cancer. 2012;12:133. https://doi.org/10.1038/nrc3184.

    PubMed  Article  CAS  Google Scholar 

  103. 103.

    Wu Y, Chen K, Liu X, Huang L, Zhao D, Li L, et al. Srebp-1 interacts with c-Myc to enhance somatic cell reprogramming. Stem Cells. 2016;34(1):83–92. https://doi.org/10.1002/stem.2209.

    PubMed  Article  CAS  Google Scholar 

  104. 104.

    Cammisotto PG, Bukowiecki LJ. Mechanisms of leptin secretion from white adipocytes. Am J Physiol Cell Physiol. 2002;283(1):C244.

    PubMed  Article  CAS  Google Scholar 

  105. 105.

    Choy L, Skillington J, Derynck R. Roles of autocrine TGF-β receptor and smad signaling in adipocyte differentiation. J Cell Biol. 2000;149(3):667.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  106. 106.

    Coelho M, Oliveira T, Fernandes R. Biochemistry of adipose tissue: an endocrine organ. Arch Med Sci. 2013;9(2):191–200. https://doi.org/10.5114/aoms.2013.33181.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  107. 107.

    De Pergola G, Silvestris F. Obesity as a major risk factor for cancer. J Obes. 2013;2013:291546. https://doi.org/10.1155/2013/291546.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  108. 108.

    Park J, Morley TS, Kim M, Clegg DJ, Scherer PE. Obesity and cancer—mechanisms underlying tumour progression and recurrence. Nat Rev Endocrinol. 2014;10(8):455–65. https://doi.org/10.1038/nrendo.2014.94.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  109. 109.

    Unger RH, Clark GO, Scherer PE, Orci L. Lipid homeostasis, lipotoxicity and the metabolic syndrome. Biochimica et Biophysica Acta Mol Cell Biol Lipids. 2010;1801(3):209–14. https://doi.org/10.1016/j.bbalip.2009.10.006.

    Article  CAS  Google Scholar 

  110. 110.

    Pearce EL, Walsh MC, Cejas PJ, Harms GM, Shen H, Wang L-S, et al. Enhancing CD8 T cell memory by modulating fatty acid metabolism. Nature. 2009;460(7251):103–7. https://doi.org/10.1038/nature08097.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  111. 111.

    Shi X, Zhang Y, Zheng J, Pan J. Reactive oxygen species in cancer stem cells. Antioxid Redox Signal. 2012;16(11):1215–28. https://doi.org/10.1089/ars.2012.4529.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  112. 112.

    Zhou D, Shao L, Spitz DR. Reactive oxygen species in normal and tumor stem cells. Adv Cancer Res. 2014;122:1–67. https://doi.org/10.1016/B978-0-12-420117-0.00001-3.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  113. 113.

    Pike LS, Smift AL, Croteau NJ, Ferrick DA, Wu M. Inhibition of fatty acid oxidation by etomoxir impairs NADPH production and increases reactive oxygen species resulting in ATP depletion and cell death in human glioblastoma cells. Biochimica et Biophysica Acta Bioenergetics. 2011;1807(6):726–34. https://doi.org/10.1016/j.bbabio.2010.10.022.

    Article  CAS  Google Scholar 

  114. 114.

    O’Callaghan C, Vassilopoulos A. Sirtuins at the crossroads of stemness, aging, and cancer. Aging Cell. 2017;16(6):1208–18. https://doi.org/10.1111/acel.12685.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  115. 115.

    Cantó C, Gerhart-Hines Z, Feige JN, Lagouge M, Noriega L, Milne JC et al. AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity. Nature. 2009;458:1056. https://doi.org/10.1038/nature07813 https://www.nature.com/articles/nature07813#supplementary-information.

  116. 116.

    Wellen KE, Hatzivassiliou G, Sachdeva UM, Bui TV, Cross JR, Thompson CB. ATP-citrate lyase links cellular metabolism to histone acetylation. Science. 2009;324(5930):1076.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  117. 117.

    Hirschey MD, Shimazu T, Goetzman E, Jing E, Schwer B, Lombard DB et al. SIRT3 regulates mitochondrial fatty-acid oxidation by reversible enzyme deacetylation. Nature. 2010;464:121. https://doi.org/10.1038/nature08778. https://www.nature.com/articles/nature08778#supplementary-information.

  118. 118.

    Schwer B, Bunkenborg J, Verdin RO, Andersen JS, Verdin E. Reversible lysine acetylation controls the activity of the mitochondrial enzyme acetyl-CoA synthetase 2. Proc Natl Acad Sci. 2006;103(27):10224–9. https://doi.org/10.1073/pnas.0603968103.

    PubMed  Article  CAS  Google Scholar 

  119. 119.

    Gao X, Lin S-H, Ren F, Li J-T, Chen J-J, Yao C-B et al. Acetate functions as an epigenetic metabolite to promote lipid synthesis under hypoxia. Nat Commun. 2016;7:11960. https://doi.org/10.1038/ncomms11960. https://www.nature.com/articles/ncomms11960#supplementary-information .

  120. 120.

    Li X, Yu W, Qian X, Xia Y, Zheng Y, Lee J-H, et al. Nucleus-translocated ACSS2 promotes gene transcription for lysosomal biogenesis and autophagy. Mol Cell. 2017;66(5):684–97. https://doi.org/10.1016/j.molcel.2017.04.026.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  121. 121.

    Moussaieff A, Rouleau M, Kitsberg D, Cohen M, Levy G, Barasch D, et al. Glycolysis-mediated changes in acetyl-CoA and histone acetylation control the early differentiation of embryonic stem cells. Cell Metab. 2015;21(3):392–402. https://doi.org/10.1016/j.cmet.2015.02.002.

    PubMed  Article  CAS  Google Scholar 

  122. 122.

    McDonnell E, Crown SB, Fox DB, Kitir B, Ilkayeva OR, Olsen CA, et al. Lipids reprogram metabolism to become a major carbon source for histone acetylation. Cell Rep. 2016;17(6):1463–72. https://doi.org/10.1016/j.celrep.2016.10.012.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  123. 123.

    Li Z, Rich JN. Hypoxia and hypoxia inducible factors in cancer stem cell maintenance. In: Simon MC, editor. Diverse effects of hypoxia on tumor progression. Berlin: Springer; 2010. p. 21–30.

    Google Scholar 

  124. 124.

    Qin J, Liu Y, Lu Y, Liu M, Li M, Li J, et al. Hypoxia-inducible factor 1 alpha promotes cancer stem cells-like properties in human ovarian cancer cells by upregulating SIRT1 expression. Sci Rep. 2017;7(1):10592. https://doi.org/10.1038/s41598-017-09244-8.

    PubMed  PubMed Central  Article  Google Scholar 

  125. 125.

    Zhang C, Samanta D, Lu H, Bullen JW, Zhang H, Chen I, et al. Hypoxia induces the breast cancer stem cell phenotype by HIF-dependent and ALKBH5-mediated m6A-demethylation of NANOG mRNA. Proc Natl Acad Sci. 2016;113(14):E2047–56. https://doi.org/10.1073/pnas.1602883113.

    PubMed  Article  CAS  Google Scholar 

  126. 126.

    Valli A, Rodriguez M, Moutsianas L, Fischer R, Fedele V, Huang H-L, et al. Hypoxia induces a lipogenic cancer cell phenotype via HIF1α-dependent and -independent pathways. Oncotarget. 2015;6(4):1920–41.

    PubMed  Article  Google Scholar 

Download references

Authors’ contributions

Both authors contributed substantially to the writing of this review. Both authors read and approved the final manuscript.

Acknowledgements

We thank the members of Dr. Ann’s laboratory, Dr. Chun-Ting Cheng for critical discussions and support throughout this work and Dr. Sarah T. Wilkinson for editing.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Not applicable.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Funding

This work was supported in part by funds from the National Institutes of Health R01DE026304 and R01CA220693 (to D.K.A.) and Ministry of Science and Technology, R.O.C, Special Talents Award (to C.-Y. K).

Author information

Affiliations

  1. Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10048, Taiwan, China

    Ching-Ying Kuo

  2. Department of Diabetes Complications and Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, 91010, USA

    David K. Ann

  3. Irell and Manella Graduate School of Biological Sciences, City of Hope, Duarte, CA, 91010, USA

    David K. Ann

Authors
  1. Ching-Ying Kuo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David K. Ann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Ching-Ying Kuo or David K. Ann.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kuo, C., Ann, D.K. When fats commit crimes: fatty acid metabolism, cancer stemness and therapeutic resistance. Cancer Commun 38, 47 (2018). https://doi.org/10.1186/s40880-018-0317-9

Download citation

Keywords

  • Fatty acid synthesis
  • Fatty acid oxidation
  • Fatty acid metabolism
  • Lipogenic phenotype
  • Cancer stem cells
  • Tumor-initiating cells
  • Cancer cell plasticity
  • Therapeutic resistance
  • Drug-tolerant persisters

Cancer Communications

ISSN: 2523-3548

Contact us