Key Points
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Mevalonate (MVA) pathway metabolites are essential for cancer cell survival and growth.
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Expression of the genes encoding MVA pathway enzymes is controlled by the sterol regulatory element-binding protein (SREBP) family of transcription factors.
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In cancer cells, oncogenic signalling pathways deregulate the activity of the SREBP transcription factors and MVA pathway enzymes.
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Deregulated production of MVA pathway metabolites modulates multiple signalling pathways in cancer cells and contributes to transformation.
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Clinical trials to evaluate the utility of MVA pathway inhibitors as anticancer agents have shown responses in some, but not all, patients; discovering biomarkers to identify responders and developing combination therapies will further enhance the utility of these inhibitors.
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Inhibiting the SREBP transcription factors is a promising strategy to increase the efficacy of MVA pathway inhibitors as anticancer therapeutics, and also potentially to combat resistance to MVA pathway therapies.
Abstract
The mevalonate (MVA) pathway is an essential metabolic pathway that uses acetyl-CoA to produce sterols and isoprenoids that are integral to tumour growth and progression. In recent years, many oncogenic signalling pathways have been shown to increase the activity and/or the expression of MVA pathway enzymes. This Review summarizes recent advances and discusses unique opportunities for immediately targeting this metabolic vulnerability in cancer with agents that have been approved for other therapeutic uses, such as the statin family of drugs, to improve outcomes for cancer patients.
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Cancer cells reprogramme their metabolism to provide energy and the essential building blocks required to maintain their aberrant survival and growth1,2,3,4,5. This reprogramming may occur through either mutations in metabolic enzymes (for example, isocitrate dehydrogenases (IDHs)6,7) or alterations in cell signalling owing to oncogenic events and/or the remodelled tumour microenvironment. These activated signalling cascades in turn deregulate the expression8,9 and/or the activity of enzymes in key metabolic pathways10, including the mevalonate (MVA) pathway (Figs 1,2).
The MVA pathway11 uses acetyl-CoA, NADPH and ATP to produce sterols and isoprenoids that are essential for tumour growth12 (Figs 1,2). The production of acetyl-CoA occurs following glucose, glutamine or acetate consumption, which are often increased in cancer cells4,5,13,14. NADPH is produced from a variety of sources, including the pentose phosphate pathway, malic enzyme and IDHs15,16. Therefore, the MVA pathway is highly integrated into the overall metabolic state of cancer cells (Fig. 1). The transcription of genes encoding MVA pathway enzymes is primarily controlled by the sterol regulatory element-binding protein (SREBP) family of basic helix–loop–helix leucine zipper (bHLH-LZ) transcription factors. When intracellular sterol levels are high, the SREBPs are maintained in an inactive state at the endoplasmic reticulum (ER), where some MVA pathway enzymes are also localized. In response to sterol deprivation, a feedback response is initiated that leads to the SREBPs, along with their binding partner SREBP cleavage-activating protein (SCAP), dissociating from the insulin-induced genes (INSIGs) and translocating from the ER to the Golgi (Fig. 3). At the Golgi, the SREBPs are sequentially cleaved by site-1 protease and site-2 protease (S1P and S2P) and they translocate to the nucleus where they bind to sterol regulatory elements (SREs) in the promoters of their target genes and activate the transcription of MVA pathway genes to restore sterol and isoprenoid levels12,17.
The importance of MVA pathway metabolites to the survival of cancer cells has been highlighted by recent studies that have identified a large number of MVA pathway enzymes as essential for the survival of several cancer cell lines18,19,20. Additionally, numerous studies have shown that the statin family of drugs, which inhibit the initial flux-controlling enzyme of the MVA pathway, 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), decrease growth and increase apoptosis in many cancer types in vitro and in vivo21,22,23,24,25. These observations point to the MVA pathway as being a key dependency in tumours, and one that is readily targetable.
The MVA pathway has been suggested by some studies to be oncogenic. Early work in chronic lymphocytic leukaemia (CLL) showed that MVA can stimulate replication in primary leukaemic cells26. In another study, overexpression of the catalytic domain of HMGCR in primary mouse embryonic fibroblasts cooperated with HRASG12V to promote foci formation, suggesting that HMGCR is a metabolic oncogene27. In addition, the direct infusion of MVA into mice harbouring breast cancer cell xenografts caused an increase in tumour growth28. Data from primary patient samples also suggest a role for the MVA pathway in promoting tumorigenesis, with a higher expression of MVA pathway genes correlating with poor prognosis in breast cancer27. Collectively, this evidence indicates that the MVA pathway has a key role in cancer.
In this Review, we discuss recent evidence demonstrating that the MVA pathway is deregulated in cancer through aberrant cell signalling, which in turn establishes a tumour vulnerability that can be therapeutically targeted to improve outcomes for cancer patients.
MVA-derived metabolites in cancer
Initially, the regulation and function of the MVA pathway and its metabolites were studied in the context of normal and hypercholesterolaemic tissues, which led to the Nobel prize-winning discoveries of Bloch and Lynen in 1964 (Ref. 29), and Brown and Goldstein in 1985 (Refs 11,30). In recent years, the importance of MVA pathway-derived metabolites in cancer has become increasingly appreciated (discussed below).
Cholesterol. Cholesterol is an important component of most cellular membranes. Highly proliferative cancer cells need to produce membranes rapidly, and an increase in cholesterol synthesis contributes to this process. Cholesterol is also an integral component of lipid rafts, which are necessary to form signalling complexes31,32,33. The cholesterol content of the ER has recently been linked to the antiviral type I interferon (IFN) response, with low ER cholesterol triggering an IFN response in macrophages that protects mice from viral challenge34. Therefore, it is possible that high levels of cholesterol, produced by the MVA pathway, could have a role in protecting cancer cells from immune surveillance and various therapies35,36. Cholesterol also serves as the precursor of downstream products, such as steroid hormones and oxysterols: steroid hormones drive the initiation and progression of various cancers, including breast and prostate carcinomas37; and increased oxysterol production can activate the liver X receptors (LXRs), which have been proposed to be therapeutic targets in multiple cancer types38,39.
Therefore, cancer cells require cholesterol for growth and survival, and decreasing intracellular cholesterol biosynthesis is a promising anticancer strategy.
Isopentenyl-diphosphate. In human cells, the MVA pathway is the sole intracellular source of isopentenyl- diphosphate (IPP)40 (Fig. 2). Aberrant activation of the MVA pathway in cancer results in increased intracellular levels of IPP, which has been shown to activate host γδ T cells that subsequently kill the IPP-overexpressing cells41,42. These observations led to phase I clinical trials that evaluated the in vivo expansion of γδ T cells in response to zoledronate, a bisphosphonate that inhibits farnesyl diphosphate synthase (FDPS) and leads to the accumulation of IPP (Table 1), in combination with interleukin-2 (IL-2) treatment in advanced-stage breast43 cancer and prostate44 cancer. In both studies, the therapy was well-tolerated and the number of sustained peripheral γδ T cells correlated with improved clinical outcome43,44. Future phase II clinical trials will reveal whether combined zoledronate and IL-2 therapy is an effective anticancer strategy.
Farnesyl-diphosphate and geranylgeranyl-diphosphate. Farnesyl-diphosphate (FPP) and geranylgeranyl- diphosphate (GGPP) are produced by sequential condensation reactions of dimethylallyl-diphosphate with two or three units of IPP, respectively. FPP and GGPP contain hydrophobic chains that are essential for the isoprenylation of proteins. This post-translational modification tethers proteins to cell membranes, enabling proper protein localization and function45,46,47,48. Most small GTPases — many of which are involved in tumorigenesis, such as RAS and RHO — are isoprenylated49; inhibition of the MVA pathway can reduce the isoprenylation of these small GTPases50,51,52 and can induce the death of some cancer cells52,53,54,55,56. This cell death can be reversed by the addition of GGPP, and sometimes FPP, suggesting that these MVA pathway metabolites are essential for tumour cell viability52,53,54,55,56. Evidence suggests that it is unlikely that any one isoprenylated protein can be assigned functional responsibility for this cancer cell dependency on GGPP and FPP52,57; instead, it seems that this is a 'class effect', with the depletion of these isoprenoid pools potentially affecting the many proteins that are isoprenylated58. Despite this dependency, directly inhibiting the isoprenylation of proteins using geranylgeranyltransferase inhibitors (GGTIs) or farnesyltransferase inhibitors (FTIs) has not been a successful anticancer strategy to date59. The rationale behind these drug development programmes was that key isoprenylated oncoproteins, such as RAS, could be targeted. However, the efficacy of FTIs was impeded by alternative isoprenylation using GGPP, and GGTIs have been disappointingly toxic60,61. Further development of next-generation FTIs and GGTIs remains a fairly limited and focused area of research59,62,63,64,65,66 (Table 1).
Dolichol. Dolichol is derived from 18–20 IPP molecules and is an essential component of the N-glycosylation of nascent polypeptides in the ER67,68. Protein N-glycosylation is frequently altered in cancer and can contribute to tumour formation, proliferation and metastasis69. Not all N-glycans are associated with tumour progression; the complex branching of N-glycans leads to tumour-suppressive properties in some cancers (reviewed in Ref. 69). Glucose-derived N-acetylglucosamine has recently been shown to be necessary for the N-glycosylation of SCAP before ER-to-Golgi translocation. The SCAP–SREBP complex thus remains inactive in the ER when glucose is absent, even in the presence of low levels of sterols70.
Coenzyme Q. Isoprenoids are also used to produce the quinone coenzyme Q (CoQ). The hydrophobic isoprenoid chain localizes CoQ to the inner membrane of the mitochondria, where the quinone group transfers electrons from complex I or II to complex III of the electron transport chain, thus enabling ATP production71. Therefore, CoQ is crucial for ATP production in cancer cells that rely on oxidative phosphorylation to produce energy72,73.
Oncogenic regulation of the MVA pathway
Intracellular pools of MVA pathway metabolites are tightly regulated by modulating the expression and activity of the MVA pathway enzymes. MVA pathway gene expression is mainly controlled by the SREBP transcription factors (Fig. 3). There are three SREBP proteins, which are transcribed from two genes: SREBP2 is transcribed from the SREBF2 gene, and is the main transcription factor for MVA pathway-associated genes; SREBP1a and SREBP1c are transcribed from alternative start sites in the SREBF1 gene, with SREBP1a regulating the expression of both MVA and fatty acid metabolism genes, and SREBP1c predominantly regulating the expression of fatty acid metabolism genes74,75,76,77. Chromatin immunoprecipitation followed by sequencing (ChIP–seq) studies have indicated some overlap in the target genes of each SREBP, including MVA pathway genes, indicating some redundancy78,79. Most studies have also shown an overlap in the regulation of the SREBPs; however, the majority of studies limit full characterization to SREBP1, and most do not distinguish between SREBP1a and SREBP1c as available antibodies cannot differentiate between the two. Given the importance of the MVA pathway in cancer, a complete characterization of SREBP2 in transformed cells is needed.
In recent years, oncogenic and tumour-suppressive pathways have been shown to converge on the MVA pathway and its regulatory feedback loop. Cancer cells, with their aberrant growth and metabolism, are thus primed to upregulate the MVA pathway to provide essential building blocks for continued proliferation. The integration of cellular signalling from growth factors and essential metabolites, with the regulation of the MVA pathway and its SREBP-regulated feedback response, highlights the importance of this pathway in cancer cells.
PI3K–AKT. The PI3K–AKT signalling pathway is a major regulator of cell survival and proliferation in response to growth factors. It is the single most frequently altered pathway in cancer, and the second most frequently mutated gene is PIK3CA, which encodes PI3K catalytic subunit-α (Ref. 80). Inactivating mutations in the PI3K–AKT pathway negative regulator PTEN and/or the hyperactivity of growth factor receptor tyrosine kinases are also common in cancer81,82. Alterations in the PI3K–AKT pathway generally act to augment signalling, and consequently increase the proliferation of cancer cells.
PI3K–AKT can activate the MVA pathway through various mechanisms (Fig. 4). For example, the stimulation of PI3K–AKT signalling by growth factors, such as insulin, platelet-derived growth factor (PDGF) and vascular endothelial growth factor (VEGF), can increase the mRNA and protein expression of SREBP1 and SREBP2 (Refs 83,84,85,86,87). It should be noted that although PI3K–AKT signalling strongly and consistently increases the mRNA and protein levels of SREBP1a and SREBP1c, its effects on SREBP2 expression are context dependent88,89,90. AKT has also been suggested to increase the stability of nuclear SREBP1a, SREBP1c and SREBP2 by preventing their proteasomal degradation mediated by the F-box and WD repeat domain containing 7 (FBXW7) E3 ubiquitin ligase91. The importance of this degradation pathway is highlighted by an increase in cholesterol and fatty acid synthesis in FBXW7-deficient cells91. The residues that are recognized by FBXW7 are phosphorylated by glycogen synthase kinase-3β (GSK3β); AKT, which inhibits this phosphorylation, may prevent FBXW7-mediated degradation of the SREBPs (Fig. 4). Insulin also causes the dissociation of INSIG from SCAP–SREBP1c in a sterol-independent manner, leading to the increased transcription of MVA pathway genes92,93,94,95. These studies were further validated through genetic approaches, in which SREBP1 and SREBP2 expression and activity were increased with the expression of constitutively active PI3K or AKT, and abrogated by dominant- negative AKT84,95,96. The increase in lipid and cholesterol production that is mediated by the PI3K–AKT–SREBP axis promotes the proliferation of cancer cells and tumorigenesis in vitro and in vivo90,97,98. Increased MVA pathway activity is inconsequential without the availability of both acetyl-CoA and NADPH, and PI3K–AKT signalling meets this requirement by increasing glucose uptake and the rate of glycolysis in cancer cells99. Conversely, inhibition of the MVA pathway decreases PI3K activity100, possibly through decreased RAS isoprenylation100,101, thus demonstrating a two-way regulatory relationship between PI3K–AKT signalling and the MVA pathway.
mTORC1. Downstream of PI3K–AKT signalling, mTOR complex 1 (mTORC1) acts as a sensor of growth signals (such as insulin) and nutrients (such as amino acids) to regulate cellular growth102. mTORC1 is often deregulated in cancer, and this supports aberrant growth. mTORC1 increases mRNA translation by phosphorylating and activating ribosomal S6 kinase 1 (S6K1; also known as RPS6KB1)103,104 and repressing the activity of the inhibitor of cap-dependent translation, eukaryotic translation initiation factor 4E-binding protein 1 (4EBP1; also known as EIF4EBP1)105. SREBPs are major downstream effectors of mTORC1 signalling, as evidenced by increased lipogenesis in response to mTORC1 activation106,107,108. The observation that SREs are the most common regulatory elements in mTORC1-induced genes further strengthens the link between mTORC1 and the SREBPs108. This link is also evident in samples from patients with primary breast cancer, as patients with high levels of phosphorylated S6K1 had correspondingly high expression of SREBP target genes, such as fatty acid synthase (FASN), low-density lipoprotein receptor (LDLR) and mevalonate kinase (MVK)90. This study also compared proteins from tumour samples and adjacent normal breast samples, and described an increase in FASN protein levels in the tumours that had higher levels of phosphorylated S6K1.
mTORC1 can regulate the SREBP transcription factors at multiple levels, although there are some cell- and tissue-type differences (Fig. 4). For example, S6K1 has been shown to activate SREBP2 processing and increase the expression of MVA pathway genes in a hepatocellular carcinoma (HCC) cell line, although the mechanism involved remains unclear109. Greater understanding of the role of mTORC1 in SREBP activity came with the development of torins, which are mTOR catalytic site inhibitors110. The original allosteric mTOR inhibitor, rapamycin, prevents the phosphorylation of S6K1 but does not inhibit 4EBP1 phosphorylation equally in all systems. By contrast, torins inhibit the phosphorylation of multiple mTOR targets, including S6K1 and 4EBP1 (Refs 110,111). Recent work comparing torin and rapamycin action implicated a role for lipin 1 (LPIN1) in mediating the effects of mTORC1 on the SREBPs112. LPIN1 is a nuclear phosphatidic acid phosphatase that is inhibited through direct phosphorylation by mTORC1, independently of S6K1. Active, unphosphorylated LPIN1 indirectly prevents the transcription of SREBP target genes by preventing the SREBPs from binding to chromatin, although the mechanism involved remains unclear112. A further link between LPIN1 and the MVA pathway was uncovered by studies using skeletal muscle, in which statins and LPIN1 were shown to increase autophagy113. Given the role of SREBP2 in transcribing numerous autophagy genes79,114, further work is needed to fully understand the interplay between mTORC1, LPIN1 and the SREBPs.
The position of the SREBPs as key effectors of mTORC1 signalling presents a potential vulnerability in tumours that have deregulated mTORC1 activity. Previous studies have linked the loss of SREBPs in breast cancer to the induction of ER stress, which induced apoptosis through mTOR115. A separate study showed that genetic knockdown of SREBF1 and/or SREBF2 reduced proliferation and increased cell death in mTORC1-activated breast cancer cell lines90. The observation that double knockdown of SREBF1 and SREBF2 showed the greatest pro-apoptotic effect suggests that small-molecule inhibitors that target both SREBP1 and SREBP2 will have the greatest therapeutic benefit.
AMPK. With an opposing role to that of mTORC1, AMP-activated protein kinase (AMPK) acts to dampen anabolic pathways when intracellular ATP levels are low. This role of AMPK as an energy sensor and central regulator of metabolism is crucial in metabolic disorders such as type 2 diabetes and cancer116. AMPK was discovered through its ability to phosphorylate and reduce the activity of microsomal HMGCR in rat liver extracts117,118. Further studies showed that AMPK phosphorylates Ser872 within the catalytic domain of HMGCR, inhibiting its enzymatic activity in a manner that is independent of its feedback regulation by MVA pathway metabolites119,120. The SREBPs are also direct targets of AMPK phosphorylation121. Activated AMPK specifically interacts with both the precursor and the nuclear forms of SREBP1c and SREBP2, and phosphorylation by AMPK inhibits SREBP proteolytic processing and transactivation activity121. Activation of AMPK in HepG2 liver cancer cells by either polyphenols or metformin stimulates this phosphorylation, which suppresses the accumulation of SREBPs in the nucleus under hyperglycaemic and hyperinsulinaemic conditions121. Moreover, activation of AMPK in the livers of insulin-resistant mice inhibited the transcription of enzymes that are involved in lipid and cholesterol biosynthesis, including the MVA pathway enzymes 3-hydroxy-3-methylglutaryl-CoA synthase 1 (HMGCS1) and HMGCR, which consequently resulted in a decrease in hepatic triglyceride and cholesterol levels121. AMPK can thus inhibit MVA pathway activity both directly via the phosphorylation of HMGCR and indirectly through the phosphorylation and repression of SREBPs. However, the relevance of this regulation in the context of cancer is poorly understood.
The MVA pathway may also regulate AMPK activity, thereby forming a feedback loop. The tumour suppressor liver kinase B1 (LKB1; also known as STK11), which phosphorylates and activates AMPK, is farnesylated at a highly conserved carboxy-terminal CAAX motif122,123. Knock-in mice expressing a mutant form of LKB1, which could not be farnesylated, exhibited reduced membrane- bound LKB1 and impaired AMPK activity123. This hints at a negative feedback loop, in which the activation of AMPK in response to decreased cellular energy results in the inhibition of the MVA pathway via the phosphorylation of HMGCR and the SREBPs. This in turn reduces the FPP pool within the cell, thereby hindering LKB1 farnesylation and inhibiting AMPK activation.
p53 and RB. TP53, which encodes the p53 tumour suppressor, is one of the most frequently altered genes in cancer, and mutations within the coding region of TP53 can confer oncogenic properties to p53 (Refs 124,125). Two gain-of-function mutations (TP53R273H and TP53R280K) enable p53 to functionally interact with nuclear SREBP2 and increase the transcription of MVA pathway genes126 (Fig. 5). This MVA pathway gene activation was necessary and sufficient for mutant p53 to disrupt normal breast acinar morphology126, and mutant p53 expression in primary breast cancer tissues was correlated with the increased expression of sterol biosynthesis genes126. Conversely, wild-type p53 can reduce lipid synthesis under conditions of glucose starvation by inducing the expression of LPIN1 (Ref. 127), which, as described above, can prevent the association of SREBPs with chromatin112. TP53R273H and TP53R280K mutations are also found in tumours from tissues other than the breast, for example, the ovaries128, prostate129 and lung130. The interplay between p53 and the MVA pathway suggests that the MVA pathway may be a novel therapeutic target for tumours that harbour these specific p53 gain-of-function mutations.
The tumour suppressor protein RB has also been implicated as a regulator of the MVA pathway (Fig. 5). In a mouse model of C-cell adenoma, loss of Rb1 (which encodes RB) enhanced isoprenylation and activation of NRAS131. Loss of RB relieved the suppression of the transcription factors E2F1 and E2F3, which were shown to bind and activate the promoters of numerous prenyltransferase genes, Fdps and Srebf1 (Ref. 131). Moreover, RB prevented the association of SREBP1 and SREBP2 with the Fdps promoter131, suggesting that RB negatively regulates the MVA pathway at both the transcriptional and the post-translational levels.
MYC. The MYC transcription factor is a potent oncogene that can drive transformation in multiple cancer types. It is deregulated in more than 50% of cancers, and can reprogramme cancer cell metabolism to enable the proliferation and survival of cancer cells132,133,134,135. Like the SREBPs, MYC is a bHLH-LZ protein and it has been shown to bind to SREBP1 to drive somatic cell reprogramming into induced pluripotent stem cells136. Analysis of data from the Encyclopedia of DNA Elements (ENCODE) project137 also shows that MYC binds to promoters of MVA pathway genes in close proximity to SREBP1 and SREBP2 binding regions (P.J.M., W. B. Tu and L.Z.P., unpublished observations; analysis follows previous work (see Ref. 138)), suggesting that MYC can contribute to the expression of MVA pathway enzymes (Fig. 5). As the MVA pathway is essential for cancer cells, and because MYC has a major role in metabolic regulation, deregulated MYC may ensure that MVA pathway metabolites are not limiting for tumorigenesis. The MVA pathway was also shown to be important in a MYC-driven transgenic model of HCC139. In that study, atorvastatin reduced tumour initiation and growth, possibly through reduced isoprenylation of the RHO-family GTPase RAC1, leading to the activation of serine/threonine-protein phosphatase 2A (PP2A), which is a negative regulator of MYC139. More recently, Myc+/− mice (which are haploinsufficient) were shown to have an increased lifespan, which was associated with the decreased expression of MVA pathway genes, including Hmgcr and Srebf2 (Ref. 140). Given the importance of MYC in driving cancer, and the difficulty of targeting it therapeutically, further work is warranted to uncover the relationship between MYC and the MVA pathway.
Signalling from the MVA pathway
Altered metabolism in tumours not only fulfils the energetic and biosynthetic needs of a dividing cell, but also produces metabolites that are important for downstream signalling. This is particularly true of the isoprenoid and sterol metabolites produced by the MVA pathway, which are also used by cancer cells to modulate multiple downstream signalling pathways that are important for tumour progression.
YAP and TAZ. It was recently shown that the oncogenes Yes-associated protein (YAP) and transcriptional co-activator with PDZ-binding motif (TAZ; also known as WWTR1) require the MVA pathway to be fully functional141. YAP and TAZ are transcriptional co-activators that facilitate the transcriptional activation of pro-growth genes and the repression of pro-apoptotic genes142,143. The nuclear localization of YAP and TAZ is negatively regulated, partly by the activation of the tumour-suppressive Hippo signalling pathway142,143. Activation of the Hippo cascade results in the phosphorylation and activation of large tumour suppressor kinase 1 (LATS1) and LATS2, which phosphorylate YAP and TAZ and retain them in the cytoplasm142,143. YAP and TAZ nuclear localization requires the MVA pathway (Fig. 6), as concurrent knockdown of SREBF1 and SREBF2 reduces nuclear localization of YAP and TAZ141. These effects were mimicked by GGTIs and were prevented by a RHOA mutant that does not require geranylgeranylation141. This suggests that SREBP-mediated induction of the MVA pathway maintains intracellular GGPP pools, which is necessary for RHOA activity, as well as YAP and TAZ nuclear localization. However, it is unclear whether these effects are dependent on Hippo signalling. Although some studies showed that MVA pathway-mediated YAP and TAZ signalling is independent of LATS1 and LATS2 via RNA interference (RNAi)-knockdown experiments141,144, one study demonstrated that both atorvastatin treatment and GGTI treatment increase the phosphorylation of LATS1 and LATS2, suggesting that geranylgeranylation regulates Hippo signalling145. A separate study reported constitutive SREBP activation in the livers of mice with a liver-specific Lats2 deletion, which corresponded to an increase in free cholesterol in the liver and protection from p53-mediated apoptosis146.
Activation of the MVA pathway and activation of YAP and TAZ are correlated with mutant p53 expression in primary tumours, suggesting a dysfunctional mutant p53–SREBP–YAP–TAZ axis in cancer141. Overexpression of TP53R280K in a TP53-null cell line activated YAP and TAZ only when the MVA pathway was active, suggesting that the MVA pathway is a crucial intermediate in the oncogenic activation of YAP and TAZ by mutant p53 (Ref. 141).
Hedgehog. Cholesterol has a multifaceted role in the regulation of cell signalling. For example, the Hedgehog (HH) signalling pathway, which has important roles in vertebrate development and tumorigenesis, is regulated by sterols at multiple levels147. Cholesterol itself can serve as a substrate for the post-translational modification of HH ligands, which is required for their proper trafficking148. Cholesterol and cholesterol-derived oxysterols can also activate HH signal transduction in medulloblastoma, whereas inhibition of the MVA pathway or downstream sterol biosynthesis decreased HH signalling and reduced cell proliferation149 (Fig. 6)
Steroid hormone signalling. Cholesterol also serves as the precursor of steroid hormones, which drive the initiation and progression of cancers such as hormone-dependent breast cancer and prostate cancer. In breast cancer, patients with oestrogen receptor-α (ERα)-positive disease are commonly treated with aromatase inhibitors to deprive the tumours of oestrogen. Recent work demonstrated that long-term oestrogen deprivation of ERα-positive breast cancers leads to the stable epigenetic activation of the MVA pathway and cholesterol biosynthesis. This is coupled with an enrichment of SREBP1 and SREBP2 DNA-binding motifs, as determined by DNase I footprinting analyses, suggesting that there is increased SREBP occupancy on open chromatin150. The resulting increased levels of 27-hydroxycholesterol were sufficient to activate ERα signalling in the absence of exogenous oestrogen, driving the activation of genes that promote an invasive cell phenotype150. Similarly, in prostate cancer, the de novo synthesis of androgens from cholesterol drives androgen receptor (AR) activity in castration-resistant disease151 (Fig. 6). This finding, coupled with the observations that SREBP expression is increased in advanced-stage prostate cancer152,153, suggests a role for the MVA pathway in prostate cancer progression. These findings warrant further investigation into the utility of inhibitors of the MVA pathway and/or SREBPs in the treatment of hormone-driven cancers.
Targeting the MVA pathway in cancer
As outlined above, multiple oncogenic signalling pathways can deregulate the MVA pathway for enhanced cell survival and growth. In turn, MVA pathway activity is required to regulate the downstream propagation of many cell signals. Coupled with the essentiality of several MVA pathway genes in cancer cells, this suggests that the MVA pathway is a tumour vulnerability that can be targeted as part of a therapeutic strategy.
Statins. The most promising method of blocking the MVA pathway in tumours is to inhibit HMGCR using statins, although inhibiting other flux-control points may also have anticancer benefits17. Statins have been safely used for decades to treat patients with hypercholesterolaemia154, and although epidemiological evidence has been mixed, most reports indicate that statin use is correlated with reduced mortality in multiple cancer types155,156,157,158,159. Evidence also suggests that certain stages of cancer progression, such as breast cancer recurrence, are particularly sensitive to the anticancer activities of statins155,160,161,162. Although the cholesterol-lowering effects of statins are due to the inhibition of MVA pathway activity in the liver, lipophilic statins such as atorvastatin, simvastatin and lovastatin have been detected in extra-hepatic tissues, including the brain, in both the active acid form and the inactive lactone form163. By contrast, the hydrophilic pravastatin could only be detected in the liver163, suggesting that hydrophilic statins might be clinically limited as anticancer agents. It is currently unknown whether lipophilic statins accumulate in tumour tissues at concentrations that are cytotoxic to cancer cells (reviewed in Ref. 164). Efforts are underway to directly address this issue, and to determine the clinical utility and recommended dose of statins that could potentially be used as anticancer therapeutics.
Many studies have shown that statins can directly and specifically trigger the apoptosis of tumour cells56,165,166,167,168. For example, statins trigger the apoptosis of cells derived from acute myeloid leukaemia (AML), while normal myeloid progenitors do not undergo apoptosis and retain full proliferative potential25. This tumour-normal therapeutic index may be due to the altered metabolic reprogramming of AML cells leading to an increased dependence on MVA pathway metabolites for growth and survival. The widespread use of statins for cholesterol management also demonstrates that these drugs cause minimal damage to normal cells. The side effects of these drugs are regularly treated by switching to a different statin or potentially by co-treating with CoQ, although this co-treatment method is controversial owing to conflicting clinical evidence169,170.
The data discussed above suggest that statins have a high therapeutic index to target tumours in vivo, despite the ubiquitous expression of the MVA pathway. This rationale has led to multiple clinical trials investigating the efficacy of various statins as a therapeutic option in a variety of tumour types. Two recent breast cancer window-of-opportunity clinical trials, using atorvastatin171 and fluvastatin172, showed reductions in the Ki67 index in a subset of patients who were administered with cholesterol-management doses of statins between cancer diagnosis and surgery. Statins have also been safely used in combination with other agents to increase efficacy. For example, pravastatin was combined with standard-of-care treatment in HCC and AML, resulting in significantly longer median survival in HCC173 and resulting in complete or partial response in 60% of patients with AML174. In another study, combining lovastatin with thalidomide and dexamethasone in patients with relapsed or refractory multiple myeloma (MM) led to prolonged overall survival and progression-free survival175.
Despite evidence of patient response to statins as anticancer agents, many patients remained non-responsive to statin treatment in other cancer clinical trials176. This is consistent with the current paradigm of inter-patient tumour heterogeneity. This lack of response might also be expected considering the evidence that we discuss above showing that the MVA pathway is regulated by many key oncogenic signals. Similar to many anticancer agents, a personalized medicine approach is needed to implement statins, and/or other inhibitors of the MVA pathway, as a successful class of cancer therapeutics. To this end, a molecular signature of basal mRNA expression has been developed to predict statin response in breast cancer in vitro22, and deregulated MYC expression has been a proposed indicator of statin response in specific tumour types177; however, essential follow-up validation is required before these biomarkers can be used clinically. It is currently difficult to predict which cancers will be particularly sensitive to statin therapy. In addition to AML and MM, encouraging results from both clinical trials171,172 and epidemiological studies178,179 suggest that patients with hormone-dependent cancers, such as breast cancer and prostate cancer, may benefit from the addition of statins to their treatment regimen. This may be partly because the MVA pathway end-product cholesterol is the precursor of hormones such as oestrogen and androgens, which have a major role in the development of these types of cancers. HCC also seems to be particularly responsive to statins173, perhaps because of the hepatotropic pharmacology of this family of drugs. Clinical trials are required in these and other cancers to further define the subset of cancers that are particularly statin-sensitive180.
Targeting the SREBP-regulated feedback response. Crucial to the regulation of the MVA pathway is the tightly controlled, SREBP-mediated feedback mechanism, in which inhibition of the MVA pathway results in the activation of the SREBPs and an increase in the expression of MVA pathway genes, an effect that may be amplified in cancer cells. SREBP activation also increases the expression of the LDLR, which leads to the increased uptake of exogenous, lipoprotein-derived cholesterol: an effect that has been shown to be important in cancer cells181,182,183,184. The SREBPs thus function to replenish MVA pathway metabolites, which can dampen the apoptotic response following statin treatment51,52,185. This would be a classic resistance mechanism, similar to that seen with other anticancer therapeutics such as BRAF inhibitors in BRAF-mutant melanoma. Cells treated with BRAF inhibitors, such as vemurafenib, can acquire an activating mutation in downstream kinases (for example, MAP2K1 (also known as MEK1)) or can have an increase in expression of receptor tyrosine kinases (for example, epidermal growth factor receptor (EGFR)), bypassing the need for BRAF activity186. These studies demonstrate that inhibiting both the cancer vulnerability and the resistance or feedback mechanism is crucial for maximum efficacy187. Therefore, inhibiting the SREBP-regulated feedback response in conjunction with statin therapy could prevent resistance, thereby increasing the efficacy of statins as anticancer agents and the number of responsive patients (Fig. 7).
Evidence that targeting the SREBPs in combination with statin therapy is a viable strategy has been provided by several recent studies. First, a study looking at breast and lung cancer cell lines used a short hairpin RNA (shRNA) screen to uncover genes that, when knocked down, potentiated the pro-apoptotic effects of statins185. The MVA pathway genes HMGCS1, geranylgeranyl diphosphate synthase 1 (GGPS1), SCAP and SREBF2 all scored highly, adding credence to either inhibiting other enzymes in the MVA pathway or inhibiting the SREBP-mediated feedback response in combination with statin therapy. A second study showed that statin-induced SREBP processing can be blocked by another agent that has been approved for a non-cancer indication, dipyridamole51. Dipyridamole reduced the transcription of SREBP target genes such as HMGCS1 and HMGCR, and synergized with statins to increase apoptosis in AML and MM cell lines and patient samples. Other compounds, such as tocotrienols, have also been demonstrated to synergize with statins to induce cancer cell apoptosis188, which is an effect that may be associated with their ability to degrade nuclear SREBP2 and inhibit its transcriptional activity189. Although several other small molecules, including fatostatin, have been shown to inhibit SREBP processing, their lack of approval for use in patients limits their potential to immediately have an impact on cancer patient care190,191,192. Therefore, clinical investigation into the utility of combined statins and SREBP inhibitors for the treatment of cancer is currently warranted (Table 1).
Outlook
Understanding tumour metabolism in the context of oncogenic signals has the potential to drive the development of targeted personalized therapies. The various signalling pathways that we describe in this Review are important drivers in many cancers, and they all have the ability to deregulate the MVA pathway, making these cancers potentially vulnerable to MVA pathway inhibition. Whether this occurs in every patient who presents with these lesions remains unclear. More work is needed to understand the extent to which driver mutations increase flux through the MVA pathway in patients. Rapidly developing technologies for the comprehensive flux-based analysis of MVA pathway metabolites will provide further advances in understanding how the MVA pathway receives and responds to oncogenic signals. In patients, it may be more feasible to determine pathway activity by mapping their oncogenic lesions to their sterol feedback response at the protein level (via SREBP localization) or mRNA expression level of MVA pathway genes, which may identify patients who will respond to MVA pathway inhibition. Designing clinical trials that will identify potential responders before treatment is required to prevent expensive failures of therapies that may still have benefits to a subset of patients. Improving reagents, particularly antibodies to HMGCR and SREBP2, will also aid trial design and interpretation.
The essentiality of the MVA pathway in many cancers, coupled with affordable and safe drugs that can target this pathway and its feedback response, provides a strong rationale for continuing to explore this key metabolic pathway in cancer.
References
Boroughs, L. K. & DeBerardinis, R. J. Metabolic pathways promoting cancer cell survival and growth. Nat. Cell Biol. 17, 351–359 (2015).
Son, J. et al. Glutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathway. Nature 496, 101–105 (2013).
Possemato, R. et al. Functional genomics reveal that the serine synthesis pathway is essential in breast cancer. Nature 476, 346–350 (2011).
Comerford, S. A. et al. Acetate dependence of tumors. Cell 159, 1591–1602 (2014).
Mashimo, T. et al. Acetate is a bioenergetic substrate for human glioblastoma and brain metastases. Cell 159, 1603–1614 (2014).
Mardis, E. R. et al. Recurring mutations found by sequencing an acute myeloid leukemia genome. N. Engl. J. Med. 361, 1058–1066 (2009).
Parsons, D. W. et al. An integrated genomic analysis of human glioblastoma multiforme. Science 321, 1807–1812 (2008).
Christofk, H. R. et al. The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth. Nature 452, 230–233 (2008).
Patra, K. C. et al. Hexokinase 2 is required for tumor initiation and maintenance and its systemic deletion is therapeutic in mouse models of cancer. Cancer Cell 24, 213–228 (2013).
Adam, J., Yang, M., Soga, T. & Pollard, P. J. Rare insights into cancer biology. Oncogene 33, 2547–2556 (2014).
Goldstein, J. L. & Brown, M. S. Familial hypercholesterolemia: identification of a defect in the regulation of 3-hydroxy-3-methylglutaryl coenzyme A reductase activity associated with overproduction of cholesterol. Proc. Natl Acad. Sci. USA 70, 2804–2808 (1973). This manuscript was the first to suggest that a genetic abnormality could lead to the deregulation of HMGCR and could result in a defect in the regulation of cholesterol synthesis. It contributed to Goldstein and Brown winning the Nobel Prize in Physiology or Medicine in 1985.
Clendening, J. W. & Penn, L. Z. Targeting tumor cell metabolism with statins. Oncogene 31, 4967–4978 (2012).
Pietrocola, F., Galluzzi, L., Bravo-San Pedro, J. M., Madeo, F. & Kroemer, G. Acetyl coenzyme A: a central metabolite and second messenger. Cell Metab. 21, 805–821 (2015).
Schug, Z. T. et al. Acetyl-CoA synthetase 2 promotes acetate utilization and maintains cancer cell growth under metabolic stress. Cancer Cell 27, 57–71 (2015).
Jeon, S. M., Chandel, N. S. & Hay, N. AMPK regulates NADPH homeostasis to promote tumour cell survival during energy stress. Nature 485, 661–665 (2012).
Anastasiou, D. et al. Inhibition of pyruvate kinase M2 by reactive oxygen species contributes to cellular antioxidant responses. Science 334, 1278–1283 (2011).
Sharpe, L. J. & Brown, A. J. Controlling cholesterol synthesis beyond 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR). J. Biol. Chem. 288, 18707–18715 (2013).
Hart, T. et al. High-resolution CRISPR screens reveal fitness genes and genotype-specific cancer liabilities. Cell 163, 1515–1526 (2015). MVA pathway genes were found to be essential in multiple cancer cell types, highlighting the dependency of cancer cells on the MVA pathway.
Wang, T. et al. Identification and characterization of essential genes in the human genome. Science 350, 1096–1101 (2015).
Blomen, V. A. et al. Gene essentiality and synthetic lethality in haploid human cells. Science 350, 1092–1096 (2015).
Clendening, J. W. et al. Exploiting the mevalonate pathway to distinguish statin-sensitive multiple myeloma. Blood 115, 4787–4797 (2010).
Goard, C. A. et al. Identifying molecular features that distinguish fluvastatin-sensitive breast tumor cells. Breast Cancer Res. Treat. 143, 301–312 (2014).
Keyomarsi, K., Sandoval, L., Band, V. & Pardee, A. B. Synchronization of tumor and normal cells from G1 to multiple cell cycles by lovastatin. Cancer Res. 51, 3602–3609 (1991).
Dimitroulakos, J. et al. Microarray and biochemical analysis of lovastatin-induced apoptosis of squamous cell carcinomas. Neoplasia 4, 337–346 (2002).
Dimitroulakos, J. et al. Increased sensitivity of acute myeloid leukemias to lovastatin-induced apoptosis: a potential therapeutic approach. Blood 93, 1308–1318 (1999).
Larson, R. A. & Yachnin, S. Mevalonic acid induces DNA synthesis in chronic lymphocytic leukemia cells. Blood 64, 257–262 (1984).
Clendening, J. W. et al. Dysregulation of the mevalonate pathway promotes transformation. Proc. Natl Acad. Sci. USA 107, 15051–15056 (2010). This study was the first to show that a flux-controlling enzyme of the MVA pathway, HMGCR, can promote transformation.
Duncan, R. E., El-Sohemy, A. & Archer, M. C. Mevalonate promotes the growth of tumors derived from human cancer cells in vivo and stimulates proliferation in vitro with enhanced cyclin-dependent kinase-2 activity. J. Biol. Chem. 279, 33079–33084 (2004).
Bloch, K. The biological synthesis of cholesterol. Science 150, 19–28 (1965).
Goldstein, J. L. & Brown, M. S. The low-density lipoprotein pathway and its relation to atherosclerosis. Annu. Rev. Biochem. 46, 897–930 (1977).
Pike, L. J. The challenge of lipid rafts. J. Lipid Res. 50 (Suppl.), S323–S328 (2009).
Mollinedo, F. & Gajate, C. Lipid rafts as major platforms for signaling regulation in cancer. Adv. Biol. Regul. 57, 130–146 (2015).
Ray, S., Kassan, A., Busija, A. R., Rangamani, P. & Patel, H. H. The plasma membrane as a capacitor for energy and metabolism. Am. J. Physiol. Cell Physiol. 310, C181–C192 (2015).
York, A. G. et al. Limiting cholesterol biosynthetic flux spontaneously engages type I IFN signaling. Cell 163, 1716–1729 (2015).
Li, H. Y., Appelbaum, F. R., Willman, C. L., Zager, R. A. & Banker, D. E. Cholesterol-modulating agents kill acute myeloid leukemia cells and sensitize them to therapeutics by blocking adaptive cholesterol responses. Blood 101, 3628–3634 (2003).
Novak, A. et al. Cholesterol masks membrane glycosphingolipid tumor-associated antigens to reduce their immunodetection in human cancer biopsies. Glycobiology 23, 1230–1239 (2013).
Ko, Y. J. & Balk, S. P. Targeting steroid hormone receptor pathways in the treatment of hormone dependent cancers. Curr. Pharm. Biotechnol. 5, 459–470 (2004).
Lin, C. Y. & Gustafsson, J. A. Targeting liver X receptors in cancer therapeutics. Nat. Rev. Cancer 15, 216–224 (2015).
Krycer, J. R. & Brown, A. J. Cholesterol accumulation in prostate cancer: a classic observation from a modern perspective. Biochim. Biophys. Acta 1835, 219–229 (2013).
Miziorko, H. M. Enzymes of the mevalonate pathway of isoprenoid biosynthesis. Arch. Biochem. Biophys. 505, 131–143 (2011).
Gruenbacher, G. & Thurnher, M. Mevalonate metabolism in cancer. Cancer Lett. 356, 192–196 (2015).
Thurnher, M. & Gruenbacher, G. T lymphocyte regulation by mevalonate metabolism. Sci. Signal. 8, re4 (2015).
Meraviglia, S. et al. In vivo manipulation of Vγ9Vδ2 T cells with zoledronate and low-dose interleukin-2 for immunotherapy of advanced breast cancer patients. Clin. Exp. Immunol. 161, 290–297 (2010).
Dieli, F. et al. Targeting human γδ T cells with zoledronate and interleukin-2 for immunotherapy of hormone-refractory prostate cancer. Cancer Res. 67, 7450–7457 (2007).
Willumsen, B. M., Christensen, A., Hubbert, N. L., Papageorge, A. G. & Lowy, D. R. The p21 ras C-terminus is required for transformation and membrane association. Nature 310, 583–586 (1984).
Hart, K. C. & Donoghue, D. J. Derivatives of activated H-ras lacking C-terminal lipid modifications retain transforming ability if targeted to the correct subcellular location. Oncogene 14, 945–953 (1997).
Clarke, S., Vogel, J. P., Deschenes, R. J. & Stock, J. Posttranslational modification of the Ha-ras oncogene protein: evidence for a third class of protein carboxyl methyltransferases. Proc. Natl Acad. Sci. USA 85, 4643–4647 (1988).
Moores, S. L. et al. Sequence dependence of protein isoprenylation. J. Biol. Chem. 266, 14603–14610 (1991).
Casey, P. J. & Seabra, M. C. Protein prenyltransferases. J. Biol. Chem. 271, 5289–5292 (1996).
Kang, S., Kim, E. S. & Moon, A. Simvastatin and lovastatin inhibit breast cell invasion induced by H-Ras. Oncol. Rep. 21, 1317–1322 (2009).
Pandyra, A. et al. Immediate utility of two approved agents to target both the metabolic mevalonate pathway and its restorative feedback loop. Cancer Res. 74, 4772–4782 (2014). This study demonstrated the feasibility of targeting SREBP2 to potentiate the anticancer effects of statins.
Wong, W. W. et al. Determinants of sensitivity to lovastatin-induced apoptosis in multiple myeloma. Mol. Cancer Ther. 6, 1886–1897 (2007). This was one of the first studies to show that the isoprenoids GGPP and FPP can reverse statin-induced apoptosis.
Agarwal, B. et al. Mechanism of lovastatin-induced apoptosis in intestinal epithelial cells. Carcinogenesis 23, 521–528 (2002).
Jiang, Z., Zheng, X., Lytle, R. A., Higashikubo, R. & Rich, K. M. Lovastatin-induced up-regulation of the BH3-only protein, Bim, and cell death in glioblastoma cells. J. Neurochem. 89, 168–178 (2004).
Shellman, Y. G. et al. Lovastatin-induced apoptosis in human melanoma cell lines. Melanoma Res. 15, 83–89 (2005).
Xia, Z. et al. Blocking protein geranylgeranylation is essential for lovastatin-induced apoptosis of human acute myeloid leukemia cells. Leukemia 15, 1398–1407 (2001).
Stirewalt, D. L., Appelbaum, F. R., Willman, C. L., Zager, R. A. & Banker, D. E. Mevastatin can increase toxicity in primary AMLs exposed to standard therapeutic agents, but statin efficacy is not simply associated with ras hotspot mutations or overexpression. Leuk. Res. 27, 133–145 (2003).
Hentschel, A., Zahedi, R. P. & Ahrends, R. Protein lipid modifications—more than just a greasy ballast. Proteomics 16, 759–782 (2016).
Berndt, N., Hamilton, A. D. & Sebti, S. M. Targeting protein prenylation for cancer therapy. Nat. Rev. Cancer 11, 775–791 (2011). This review comprehensively summarizes the feasibility and efficacy of targeting protein prenylation in cancer.
Cox, A. D., Der, C. J. & Philips, M. R. Targeting RAS membrane association: back to the future for anti-RAS drug discovery? Clin. Cancer Res. 21, 1819–1827 (2015).
Cox, A. D., Fesik, S. W., Kimmelman, A. C., Luo, J. & Der, C. J. Drugging the undruggable RAS: mission possible? Nat. Rev. Drug Discov. 13, 828–851 (2014).
Swanson, K. M. & Hohl, R. J. Anti-cancer therapy: targeting the mevalonate pathway. Curr. Cancer Drug Targets 6, 15–37 (2006).
Wiemer, A. J., Wiemer, D. F. & Hohl, R. J. Geranylgeranyl diphosphate synthase: an emerging therapeutic target. Clin. Pharmacol. Ther. 90, 804–812 (2011).
Tsimberidou, A. M., Chandhasin, C. & Kurzrock, R. Farnesyltransferase inhibitors: where are we now? Expert Opin. Investig. Drugs 19, 1569–1580 (2010).
Martin, N. E. et al. A phase I trial of the dual farnesyltransferase and geranylgeranyltransferase inhibitor L-778,123 and radiotherapy for locally advanced pancreatic cancer. Clin. Cancer Res. 10, 5447–5454 (2004).
Ullah, N., Mansha, M. & Casey, P. J. Protein geranylgeranyltransferase type 1 as a target in cancer. Curr. Cancer Drug Targets https://dx.doi.org/10.2174/1568009616666151203224603 (2015).
Chojnacki, T. & Dallner, G. The biological role of dolichol. Biochem. J. 251, 1–9 (1988).
Carlberg, M. et al. Mevalonic acid is limiting for N-linked glycosylation and translocation of the insulin-like growth factor-1 receptor to the cell surface. Evidence for a new link between 3-hydroxy-3- methylglutaryl-coenzyme a reductase and cell growth. J. Biol. Chem. 271, 17453–17462 (1996).
Pinho, S. S. & Reis, C. A. Glycosylation in cancer: mechanisms and clinical implications. Nat. Rev. Cancer 15, 540–555 (2015). This review summarizes the role of aberrant glycosylation in cancer development and progression.
Cheng, C. et al. Glucose-mediated N-glycosylation of SCAP is essential for SREBP-1 activation and tumor growth. Cancer Cell 28, 569–581 (2015). This study links glucose metabolism to the MVA pathway via the N -glycosylation of SCAP.
Ernster, L. & Dallner, G. Biochemical, physiological and medical aspects of ubiquinone function. Biochim. Biophys. Acta 1271, 195–204 (1995).
Maiuri, M. C. & Kroemer, G. Essential role for oxidative phosphorylation in cancer progression. Cell Metab. 21, 11–12 (2015).
Tan, A. S. et al. Mitochondrial genome acquisition restores respiratory function and tumorigenic potential of cancer cells without mitochondrial DNA. Cell Metab. 21, 81–94 (2015).
Hua, X. et al. SREBP-2, a second basic-helix-loop-helix-leucine zipper protein that stimulates transcription by binding to a sterol regulatory element. Proc. Natl Acad. Sci. USA 90, 11603–11607 (1993). Brown and Goldstein follow up their Nobel Prize-winning work by identifying SREBP2.
Yokoyama, C. et al. SREBP-1, a basic-helix-loop-helix-leucine zipper protein that controls transcription of the low density lipoprotein receptor gene. Cell 75, 187–197 (1993).
Amemiya-Kudo, M. et al. Transcriptional activities of nuclear SREBP-1a, -1c, and -2 to different target promoters of lipogenic and cholesterogenic genes. J. Lipid Res. 43, 1220–1235 (2002).
Shimomura, I., Shimano, H., Horton, J. D., Goldstein, J. L. & Brown, M. S. Differential expression of exons 1a and 1c in mRNAs for sterol regulatory element binding protein-1 in human and mouse organs and cultured cells. J. Clin. Invest. 99, 838–845 (1997).
Seo, Y. K. et al. Genome-wide analysis of SREBP-1 binding in mouse liver chromatin reveals a preference for promoter proximal binding to a new motif. Proc. Natl Acad. Sci. USA 106, 13765–13769 (2009).
Seo, Y. K. et al. Genome-wide localization of SREBP-2 in hepatic chromatin predicts a role in autophagy. Cell Metab. 13, 367–375 (2011). This study was the first to map the chromatin binding of SREBP2 genome-wide.
Fruman, D. A. & Rommel, C. PI3K and cancer: lessons, challenges and opportunities. Nat. Rev. Drug Discov. 13, 140–156 (2014).
Engelman, J. A. Targeting PI3K signalling in cancer: opportunities, challenges and limitations. Nat. Rev. Cancer 9, 550–562 (2009).
Song, M. S., Salmena, L. & Pandolfi, P. P. The functions and regulation of the PTEN tumour suppressor. Nat. Rev. Mol. Cell. Biol. 13, 283–296 (2012).
Demoulin, J. B. et al. Platelet-derived growth factor stimulates membrane lipid synthesis through activation of phosphatidylinositol 3-kinase and sterol regulatory element-binding proteins. J. Biol. Chem. 279, 35392–35402 (2004).
Zhou, R. H. et al. Vascular endothelial growth factor activation of sterol regulatory element binding protein: a potential role in angiogenesis. Circ. Res. 95, 471–478 (2004).
Fleischmann, M. & Iynedjian, P. B. Regulation of sterol regulatory-element binding protein 1 gene expression in liver: role of insulin and protein kinase B/cAkt. Biochem. J. 349, 13–17 (2000).
Luu, W., Sharpe, L. J., Stevenson, J. & Brown, A. J. Akt acutely activates the cholesterogenic transcription factor SREBP-2. Biochim. Biophys. Acta 1823, 458–464 (2012).
Porstmann, T. et al. PKB/Akt induces transcription of enzymes involved in cholesterol and fatty acid biosynthesis via activation of SREBP. Oncogene 24, 6465–6481 (2005).
Suzuki, R. et al. Diabetes and insulin in regulation of brain cholesterol metabolism. Cell Metab. 12, 567–579 (2010).
Jeon, T. I. & Osborne, T. F. SREBPs: metabolic integrators in physiology and metabolism. Trends Endocrinol. Metab. 23, 65–72 (2012).
Ricoult, S. J., Yecies, J. L., Ben-Sahra, I. & Manning, B. D. Oncogenic PI3K and K-Ras stimulate de novo lipid synthesis through mTORC1 and SREBP. Oncogene 35, 1250–1260 (2015).
Sundqvist, A. et al. Control of lipid metabolism by phosphorylation-dependent degradation of the SREBP family of transcription factors by SCF(Fbw7). Cell Metab. 1, 379–391 (2005).
Yellaturu, C. R., Deng, X., Park, E. A., Raghow, R. & Elam, M. B. Insulin enhances the biogenesis of nuclear sterol regulatory element-binding protein (SREBP)-1c by posttranscriptional down-regulation of Insig-2A and its dissociation from SREBP cleavage-activating protein (SCAP). SREBP-1c complex. J. Biol. Chem. 284, 31726–31734 (2009).
Hegarty, B. D. et al. Distinct roles of insulin and liver X receptor in the induction and cleavage of sterol regulatory element-binding protein-1c. Proc. Natl Acad. Sci. USA 102, 791–796 (2005).
Yecies, J. L. et al. Akt stimulates hepatic SREBP1c and lipogenesis through parallel mTORC1-dependent and independent pathways. Cell Metab. 14, 21–32 (2011).
Du, X., Kristiana, I., Wong, J. & Brown, A. J. Involvement of Akt in ER-to-Golgi transport of SCAP/SREBP: a link between a key cell proliferative pathway and membrane synthesis. Mol. Biol. Cell 17, 2735–2745 (2006).
Yellaturu, C. R. et al. Insulin enhances post-translational processing of nascent SREBP-1c by promoting its phosphorylation and association with COPII vesicles. J. Biol. Chem. 284, 7518–7532 (2009).
Yamauchi, Y., Furukawa, K. & Hamamura, K. Positive feedback loop between PI3K-Akt-mTORC1 signaling and the lipogenic pathway boosts Akt signaling: induction of the lipogenic pathway by a melanoma antigen. Cancer Res. 71, 4989–4997 (2011).
Calvisi, D. F. et al. Increased lipogenesis, induced by AKT-mTORC1-RPS6 signaling, promotes development of human hepatocellular carcinoma. Gastroenterology 140, 1071–1083 (2011).
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G. & Thompson, C. B. The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metab. 7, 11–20 (2008).
Kusama, T. et al. 3-Hydroxy-3-methylglutaryl-coenzyme a reductase inhibitors reduce human pancreatic cancer cell invasion and metastasis. Gastroenterology 122, 308–317 (2002).
Asslan, R. et al. Epidermal growth factor stimulates 3-hydroxy-3-methylglutaryl-coenzyme A reductase expression via the ErbB-2 pathway in human breast adenocarcinoma cells. Biochem. Biophys. Res. Commun. 260, 699–706 (1999).
Shimobayashi, M. & Hall, M. N. Making new contacts: the mTOR network in metabolism and signalling crosstalk. Nat. Rev. Mol. Cell. Biol. 15, 155–162 (2014).
Chung, J., Kuo, C. J., Crabtree, G. R. & Blenis, J. Rapamycin-FKBP specifically blocks growth-dependent activation of and signaling by the 70 kd S6 protein kinases. Cell 69, 1227–1236 (1992).
Kuo, C. J. et al. Rapamycin selectively inhibits interleukin-2 activation of p70 S6 kinase. Nature 358, 70–73 (1992).
Von Manteuffel, S. R., Gingras, A. C., Ming, X. F., Sonenberg, N. & Thomas, G. 4E-BP1 phosphorylation is mediated by the FRAP-p70s6k pathway and is independent of mitogen-activated protein kinase. Proc. Natl Acad. Sci. USA 93, 4076–4080 (1996).
Porstmann, T. et al. SREBP activity is regulated by mTORC1 and contributes to Akt-dependent cell growth. Cell Metab. 8, 224–236 (2008). This study shows that the activation of SREBPs through AKT–mTORC1 is required for cell growth.
Li, S., Brown, M. S. & Goldstein, J. L. Bifurcation of insulin signaling pathway in rat liver: mTORC1 required for stimulation of lipogenesis, but not inhibition of gluconeogenesis. Proc. Natl Acad. Sci. USA 107, 3441–3446 (2010). This study offers an explanation for the paradox of insulin resistance, in which insulin fails to suppress glucose production but continues to promote lipid synthesis.
Duvel, K. et al. Activation of a metabolic gene regulatory network downstream of mTOR complex 1. Mol. Cell. 39, 171–183 (2010).
Wang, B. T. et al. The mammalian target of rapamycin regulates cholesterol biosynthetic gene expression and exhibits a rapamycin-resistant transcriptional profile. Proc. Natl Acad. Sci. USA 108, 15201–15206 (2011).
Thoreen, C. C. et al. An ATP-competitive mammalian target of rapamycin inhibitor reveals rapamycin-resistant functions of mTORC1. J. Biol. Chem. 284, 8023–8032 (2009).
Liu, Q. et al. Development of ATP-competitive mTOR inhibitors. Methods Mol. Biol. 821, 447–460 (2012).
Peterson, T. R. et al. mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway. Cell 146, 408–420 (2011). New mTOR inhibitors enabled this work to identify a target of mTOR that regulates SREBP activity.
Zhang, P., Verity, M. A. & Reue, K. Lipin-1 regulates autophagy clearance and intersects with statin drug effects in skeletal muscle. Cell Metab. 20, 267–279 (2014).
Shao, W. & Espenshade, P. J. Expanding roles for SREBP in metabolism. Cell Metab. 16, 414–419 (2012).
Griffiths, B. et al. Sterol regulatory element binding protein-dependent regulation of lipid synthesis supports cell survival and tumor growth. Cancer Metab. 1, 3 (2013). This is the first study to show that ablation of SREBPs affects both lipid and protein biosynthesis.
Hardie, D. G. & Alessi, D. R. LKB1 and AMPK and the cancer-metabolism link – ten years after. BMC Biol. 11, 36 (2013).
Beg, Z. H., Allmann, D. W. & Gibson, D. M. Modulation of 3-hydroxy-3-methylglutaryl coenzyme A reductase activity with cAMP and wth protein fractions of rat liver cytosol. Biochem. Biophys. Res. Commun. 54, 1362–1369 (1973).
Beg, Z. H., Stonik, J. A. & Brewer, H. B. Jr. 3-Hydroxy-3-methylglutaryl coenzyme A reductase: regulation of enzymatic activity by phosphorylation and dephosphorylation. Proc. Natl Acad. Sci. USA 75, 3678–3682 (1978).
Clarke, P. R. & Hardie, D. G. Regulation of HMG-CoA reductase: identification of the site phosphorylated by the AMP-activated protein kinase in vitro and in intact rat liver. EMBO J. 9, 2439–2446 (1990).
Sato, R., Goldstein, J. L. & Brown, M. S. Replacement of serine-871 of hamster 3-hydroxy-3-methylglutaryl-CoA reductase prevents phosphorylation by AMP-activated kinase and blocks inhibition of sterol synthesis induced by ATP depletion. Proc. Natl Acad. Sci. USA 90, 9261–9265 (1993).
Li, Y. et al. AMPK phosphorylates and inhibits SREBP activity to attenuate hepatic steatosis and atherosclerosis in diet-induced insulin-resistant mice. Cell Metab. 13, 376–388 (2011).
Collins, S. P., Reoma, J. L., Gamm, D. M. & Uhler, M. D. LKB1, a novel serine/threonine protein kinase and potential tumour suppressor, is phosphorylated by cAMP-dependent protein kinase (PKA) and prenylated in vivo. Biochem. J. 345, 673–680 (2000).
Houde, V. P. et al. Investigation of LKB1 Ser431 phosphorylation and Cys433 farnesylation using mouse knockin analysis reveals an unexpected role of prenylation in regulating AMPK activity. Biochem. J. 458, 41–56 (2014).
Vogelstein, B., Lane, D. & Levine, A. J. Surfing the p53 network. Nature 408, 307–310 (2000).
Petitjean, A., Achatz, M. I., Borresen-Dale, A. L., Hainaut, P. & Olivier, M. TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes. Oncogene 26, 2157–2165 (2007).
Freed-Pastor, W. A. et al. Mutant p53 disrupts mammary tissue architecture via the mevalonate pathway. Cell 148, 244–258 (2012). This study was the first to demonstrate that specific gain-of-function p53 mutants activate the MVA pathway in cancer cells.
Assaily, W. et al. ROS-mediated p53 induction of Lpin1 regulates fatty acid oxidation in response to nutritional stress. Mol. Cell. 44, 491–501 (2011).
Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature 474, 609–615 (2011).
Cancer Genome Atlas Research Network. The molecular taxonomy of primary prostate cancer. Cell 163, 1011–1025 (2015).
Cancer Genome Atlas Research Network. Comprehensive genomic characterization of squamous cell lung cancers. Nature 489, 519–525 (2012).
Shamma, A. et al. Rb regulates DNA damage response and cellular senescence through E2F-dependent suppression of N-ras isoprenylation. Cancer Cell 15, 255–269 (2009).
Dang, C. V. MYC on the path to cancer. Cell 149, 22–35 (2012).
Tu, W. B. et al. Myc and its interactors take shape. Biochim. Biophys. Acta 1849, 469–483 (2015).
Gao, P. et al. c-Myc suppression of miR-23a/b enhances mitochondrial glutaminase expression and glutamine metabolism. Nature 458, 762–765 (2009).
Meyer, N. & Penn, L. Z. Reflecting on 25 years with MYC. Nat. Rev. Cancer 8, 976–990 (2008).
Wu, Y. et al. Srebp-1 interacts with c-Myc to enhance somatic cell reprogramming. Stem Cells 34, 83–92 (2015).
The ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012).
Dingar, D. et al. BioID identifies novel c-MYC interacting partners in cultured cells and xenograft tumors. J. Proteom. 118, 95–111 (2015).
Cao, Z. et al. MYC phosphorylation, activation, and tumorigenic potential in hepatocellular carcinoma are regulated by HMG-CoA reductase. Cancer Res. 71, 2286–2297 (2011).
Hofmann, J. W. et al. Reduced expression of MYC increases longevity and enhances healthspan. Cell 160, 477–488 (2015).
Sorrentino, G. et al. Metabolic control of YAP and TAZ by the mevalonate pathway. Nat. Cell Biol. 16, 357–366 (2014). This study provides compelling evidence of the importance of MVA-derived metabolites in cancer.
Zanconato, F., Cordenonsi, M. & Piccolo, S. YAP/TAZ at the roots of cancer. Cancer Cell 29, 783–803 (2016).
Moroishi, T., Hansen, C. G. & Guan, K. L. The emerging roles of YAP and TAZ in cancer. Nat. Rev. Cancer 15, 73–79 (2015).
Wang, Z. et al. Interplay of mevalonate and Hippo pathways regulates RHAMM transcription via YAP to modulate breast cancer cell motility. Proc. Natl Acad. Sci. USA 111, E89–E98 (2014).
Mi, W. et al. Geranylgeranylation signals to the Hippo pathway for breast cancer cell proliferation and migration. Oncogene 34, 3095–3106 (2015).
Aylon, Y. et al. The LATS2 tumor suppressor inhibits SREBP and suppresses hepatic cholesterol accumulation. Genes Dev. 30, 786–797 (2016).
Riobo, N. A. Cholesterol and its derivatives in Sonic Hedgehog signaling and cancer. Curr. Opin. Pharmacol. 12, 736–741 (2012).
Eaton, S. Multiple roles for lipids in the Hedgehog signalling pathway. Nat. Rev. Mol. Cell. Biol. 9, 437–445 (2008).
Corcoran, R. B. & Scott, M. P. Oxysterols stimulate Sonic hedgehog signal transduction and proliferation of medulloblastoma cells. Proc. Natl Acad. Sci. USA 103, 8408–8413 (2006).
Nguyen, V. T. et al. Differential epigenetic reprogramming in response to specific endocrine therapies promotes cholesterol biosynthesis and cellular invasion. Nat. Commun. 6, 10044 (2015).
Locke, J. A. et al. Androgen levels increase by intratumoral de novo steroidogenesis during progression of castration-resistant prostate cancer. Cancer Res. 68, 6407–6415 (2008).
Ettinger, S. L. et al. Dysregulation of sterol response element-binding proteins and downstream effectors in prostate cancer during progression to androgen independence. Cancer Res. 64, 2212–2221 (2004).
Huang, W. C., Li, X., Liu, J., Lin, J. & Chung, L. W. Activation of androgen receptor, lipogenesis, and oxidative stress converged by SREBP-1 is responsible for regulating growth and progression of prostate cancer cells. Mol. Cancer Res. 10, 133–142 (2012).
Goldstein, J. L. & Brown, M. S. Regulation of the mevalonate pathway. Nature 343, 425–430 (1990).
Ahern, T. P. et al. Statin prescriptions and breast cancer recurrence risk: a Danish nationwide prospective cohort study. J. Natl Cancer Inst. 103, 1461–1468 (2011).
Fortuny, J. et al. Use of analgesics and nonsteroidal anti-inflammatory drugs, genetic predisposition, and bladder cancer risk in Spain. Cancer Epidemiol. Biomarkers Prev. 15, 1696–1702 (2006).
Nielsen, S. F., Nordestgaard, B. G. & Bojesen, S. E. Statin use and reduced cancer-related mortality. N. Engl. J. Med. 367, 1792–1802 (2012). An important study showing reduced deaths from cancer in statin users.
Freedland, S. J. et al. Statin use and risk of prostate cancer and high-grade prostate cancer: results from the REDUCE study. Prostate Cancer Prostat. Dis. 16, 254–259 (2013).
Kuoppala, J., Lamminpaa, A. & Pukkala, E. Statins and cancer: a systematic review and meta-analysis. Eur. J. Cancer 44, 2122–2132 (2008).
Chae, Y. K. et al. Reduced risk of breast cancer recurrence in patients using ACE inhibitors, ARBs, and/or statins. Cancer Invest. 29, 585–593 (2011).
Boudreau, D. M. et al. Comparative safety of cardiovascular medication use and breast cancer outcomes among women with early stage breast cancer. Breast Cancer Res. Treat. 144, 405–416 (2014).
Kwan, M. L., Habel, L. A., Flick, E. D., Quesenberry, C. P. & Caan, B. Post-diagnosis statin use and breast cancer recurrence in a prospective cohort study of early stage breast cancer survivors. Breast Cancer Res. Treat. 109, 573–579 (2008).
Chen, C., Lin, J., Smolarek, T. & Tremaine, L. P-Glycoprotein has differential effects on the disposition of statin acid and lactone forms in mdr1a/b knockout and wild-type mice. Drug Metab. Dispos. 35, 1725–1729 (2007).
Moon, H., Hill, M. M., Roberts, M. J., Gardiner, R. A. & Brown, A. J. Statins: protectors or pretenders in prostate cancer? Trends Endocrinol. Metab. 25, 188–196 (2014).
Wong, W. W., Dimitroulakos, J., Minden, M. D. & Penn, L. Z. HMG-CoA reductase inhibitors and the malignant cell: the statin family of drugs as triggers of tumor-specific apoptosis. Leukemia 16, 508–519 (2002).
Wong, W. W. et al. Cerivastatin triggers tumor-specific apoptosis with higher efficacy than lovastatin. Clin. Cancer Res. 7, 2067–2075 (2001).
Dimitroulakos, J. et al. Lovastatin induces a pronounced differentiation response in acute myeloid leukemias. Leuk. Lymphoma 40, 167–178 (2000).
Martirosyan, A., Clendening, J. W., Goard, C. A. & Penn, L. Z. Lovastatin induces apoptosis of ovarian cancer cells and synergizes with doxorubicin: potential therapeutic relevance. BMC Cancer 10, 103 (2010).
Mas, E. & Mori, T. A. Coenzyme Q(10) and statin myalgia: what is the evidence? Curr. Atheroscler. Rep. 12, 407–413 (2010).
Harper, C. R. & Jacobson, T. A. Evidence-based management of statin myopathy. Curr. Atheroscler. Rep. 12, 322–330 (2010).
Bjarnadottir, O. et al. Targeting HMG-CoA reductase with statins in a window-of-opportunity breast cancer trial. Breast Cancer Res. Treat. 138, 499–508 (2013).
Garwood, E. R. et al. Fluvastatin reduces proliferation and increases apoptosis in women with high grade breast cancer. Breast Cancer Res. Treat. 119, 137–144 (2010). The first window-of-opportunity, pre-operative trial to demonstrate that fluvastatin can reduce proliferation and increase the apoptosis of tumour cells in women with early stage, high-grade breast cancer.
Graf, H. et al. Chemoembolization combined with pravastatin improves survival in patients with hepatocellular carcinoma. Digestion 78, 34–38 (2008).
Kornblau, S. M. et al. Blockade of adaptive defensive changes in cholesterol uptake and synthesis in AML by the addition of pravastatin to idarubicin + high-dose Ara-C: a phase 1 study. Blood 109, 2999–3006 (2007).
Hus, M. et al. Thalidomide, dexamethasone and lovastatin with autologous stem cell transplantation as a salvage immunomodulatory therapy in patients with relapsed and refractory multiple myeloma. Ann. Hematol. 90, 1161–1166 (2011).
Sondergaard, T. E. et al. A phase II clinical trial does not show that high dose simvastatin has beneficial effect on markers of bone tunrover in multiple myeloma. Hematol. Oncol. 27, 17–22 (2009).
Shachaf, C. M. et al. Inhibition of HMGcoA reductase by atorvastatin prevents and reverses MYC-induced lymphomagenesis. Blood 110, 2674–2684 (2007).
Hamilton, R. J. et al. Statin medication use and the risk of biochemical recurrence after radical prostatectomy: results from the Shared Equal Access Regional Cancer Hospital (SEARCH) Database. Cancer 116, 3389–3398 (2010).
Harshman, L. C. et al. Statin use at the time of initiation of androgen deprivation therapy and time to progression in patients with hormone-sensitive prostate cancer. JAMA Oncol. 1, 495–504 (2015).
Demierre, M. F., Higgins, P. D., Gruber, S. B., Hawk, E. & Lippman, S. M. Statins and cancer prevention. Nat. Rev. Cancer 5, 930–942 (2005).
Ho, Y. K., Smith, R. G., Brown, M. S. & Goldstein, J. L. Low-density lipoprotein (LDL) receptor activity in human acute myelogenous leukemia cells. Blood 52, 1099–1114 (1978).
Yue, S. et al. Cholesteryl ester accumulation induced by PTEN loss and PI3K/AKT activation underlies human prostate cancer aggressiveness. Cell Metab. 19, 393–406 (2014).
Guillaumond, F. et al. Cholesterol uptake disruption, in association with chemotherapy, is a promising combined metabolic therapy for pancreatic adenocarcinoma. Proc. Natl Acad. Sci. USA 112, 2473–2478 (2015).
Hirsch, H. A. et al. A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases. Cancer Cell 17, 348–361 (2010).
Pandyra, A. A. et al. Genome-wide RNAi analysis reveals that simultaneous inhibition of specific mevalonate pathway genes potentiates tumor cell death. Oncotarget. 6, 26909–26921 (2015).
Nazarian, R. et al. Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation. Nature 468, 973–977 (2010).
Spagnolo, F., Ghiorzo, P. & Queirolo, P. Overcoming resistance to BRAF inhibition in BRAF-mutated metastatic melanoma. Oncotarget 5, 10206–10221 (2014).
Tuerdi, G. et al. Synergistic effect of combined treatment with gamma-tocotrienol and statin on human malignant mesothelioma cells. Cancer Lett. 339, 116–127 (2013).
Krycer, J. R., Phan, L. & Brown, A. J. A key regulator of cholesterol homoeostasis, SREBP-2, can be targeted in prostate cancer cells with natural products. Biochem. J. 446, 191–201 (2012). This study highlights the potential of inhibiting SREBP2 as an anticancer therapeutic.
Kamisuki, S. et al. A small molecule that blocks fat synthesis by inhibiting the activation of SREBP. Chem. Biol. 16, 882–892 (2009).
Li, X., Chen, Y. T., Hu, P. & Huang, W. C. Fatostatin displays high antitumor activity in prostate cancer by blocking SREBP-regulated metabolic pathways and androgen receptor signaling. Mol. Cancer Ther. 13, 855–866 (2014).
Li, X., Wu, J. B., Chung, L. W. & Huang, W. C. Anti-cancer efficacy of SREBP inhibitor, alone or in combination with docetaxel, in prostate cancer harboring p53 mutations. Oncotarget 6, 41018–41032 (2015).
Goldstein, J. L. & Brown, M. S. A century of cholesterol and coronaries: from plaques to genes to statins. Cell 161, 161–172 (2015). A retrospective of the work that uncovered and helped us to understand the role of cholesterol in disease.
Saad, F. et al. A randomized, placebo-controlled trial of zoledronic acid in patients with hormone-refractory metastatic prostate carcinoma. J. Natl Cancer Inst. 94, 1458–1468 (2002).
Aft, R. et al. Effect of zoledronic acid on disseminated tumour cells in women with locally advanced breast cancer: an open label, randomised, phase 2 trial. Lancet Oncol. 11, 421–428 (2010).
Morgan, G. J. et al. First-line treatment with zoledronic acid as compared with clodronic acid in multiple myeloma (MRC Myeloma IX): a randomised controlled trial. Lancet 376, 1989–1999 (2010).
Harousseau, J. L. et al. A randomized phase 3 study of tipifarnib compared with best supportive care, including hydroxyurea, in the treatment of newly diagnosed acute myeloid leukemia in patients 70 years or older. Blood 114, 1166–1173 (2009).
Sparano, J. A. et al. Phase II trial of tipifarnib plus neoadjuvant doxorubicin-cyclophosphamide in patients with clinical stage IIB-IIIC breast cancer. Clin. Cancer Res. 15, 2942–2948 (2009).
Tang, J. J. et al. Inhibition of SREBP by a small molecule, betulin, improves hyperlipidemia and insulin resistance and reduces atherosclerotic plaques. Cell Metab. 13, 44–56 (2011).
Guan, M. et al. Nelfinavir induces liposarcoma apoptosis through inhibition of regulated intramembrane proteolysis of SREBP-1 and ATF6. Clin. Cancer. Res. 17, 1796–1806 (2011).
Brunner, T. B. et al. Phase I trial of the human immunodeficiency virus protease inhibitor nelfinavir and chemoradiation for locally advanced pancreatic cancer. J. Clin. Oncol. 26, 2699–2706 (2008).
Rengan, R. et al. A phase I trial of the HIV protease inhibitor nelfinavir with concurrent chemoradiotherapy for unresectable stage IIIA/IIIB non-small cell lung cancer: a report of toxicities and clinical response. J. Thorac. Oncol. 7, 709–715 (2012).
Acknowledgements
The authors thank J. van Leeuwen and W. B. Tu for helping to prepare this Review. The authors also thank other current and former members of the Penn laboratory for their helpful comments, including A. Pandyra, E. Chamberlain, J. De Melo, D. Dingar, A. Hickman, M. Kalkat, C. Lourenco, D. Resetca and A. Tamachi. The authors also acknowledge the many important contributions by their colleagues that could not be cited here owing to space and reference constraints. The funding agencies that enable the authors' research include the Ontario Institute for Cancer Research through funding provided by the Province of Ontario, the Canadian Institute for Health Research, Prostate Cancer Canada, the Department of Defense Breast Cancer Research Program, the Princess Margaret Cancer Foundation Hold'em for Life Prostate Cancer Research Fund, and the Terry Fox Foundation Canada. L.Z.P. holds the Canada Research Chair in Molecular Oncology.
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Glossary
- Acetyl-CoA
-
An essential metabolite that is used to drive many cellular processes, including the tricarboxylic acid (TCA) cycle, fatty acid and sterol biosynthesis, and acetylation of histones.
- SREBP cleavage-activating protein
-
(SCAP). Essential for sterol regulatory element-binding protein (SREBP) endoplasmic reticulum (ER)-to-Golgi translocation. SCAP contains a sterol-sensing domain and undergoes a conformational change when levels of ER membrane sterols are low. This change causes a dissociation of the SCAP–SREBP complex from insulin-induced genes (INSIGs).
- Insulin-induced genes
-
(INSIGs). INSIG1 and INSIG2 interact with SREBP cleavage-activating protein (SCAP) under sterol-rich conditions. They prevent sterol regulatory element-binding protein (SREBP) activation by retaining the SCAP–SREBP complex in the endoplasmic reticulum (ER). They also promote the sterol-regulated degradation of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR).
- Site-1 protease and site-2 protease
-
(S1P and S2P). Two proteases that cleave the sterol regulatory element-binding proteins (SREBPs), in the Golgi. S1P cleaves at the luminal loop of the SREBPs, whereas S2P is a hydrophobic protein that cleaves the SREBPs at a transmembrane residue.
- Sterol regulatory elements
-
(SREs). Motifs found in the promoters of genes that are transcribed in response to sterol deprivation. SREs are necessary for the transcription of mevalonate (MVA) pathway genes by the sterol regulatory element-binding proteins (SREBPs).
- Lipid rafts
-
Membrane domains that contain high concentrations of cholesterol, saturated fatty acids and sphingolipids. They are tightly packed and form the liquid ordered phase of membranes. One key role is to enable protein complexes to be pre-organized for efficient signal transduction.
- γδ T cells
-
T cells with a T cell receptor that contains a γ- and a δ-chain instead of the more common α- and β-chains. They are known to recognize lipid antigens, are independent of major histocompatibility complex (MHC) class I presentation and are currently being investigated for their anticancer potential.
- Isoprenylation
-
The attachment of a hydrophobic farnesol or geranygeraniol to the carboxyl terminus of proteins that contain a CAAX motif, which anchors the proteins to lipid membranes. Geranylgeraniol can also be attached to non-CAAX motif-containing proteins.
- Quinone
-
A cyclic organic compound that contains two C=O groups. The quinone coenzyme Q is derived from the essential amino acid tyrosine.
- C-Cell adenoma
-
C-Cells (also known as parafollicular cells) are found in the thyroid and produce the hormone calcitonin. Tumours originating from the C-cells include medullary thyroid cancer, and mutations in the RET proto-oncogene are often found in patients.
- Aromatase inhibitors
-
Inhibitors of oestrogen production and a common treatment option for patients with oestrogen receptor-positive breast cancer.
- Ki67 index
-
The fraction of Ki67-positive tumour cells as determined using immunohistochemistry. The expression of Ki67 is associated with cell proliferation.
- Dipyridamole
-
A clinically approved drug used to prevent platelet aggregation.
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Mullen, P., Yu, R., Longo, J. et al. The interplay between cell signalling and the mevalonate pathway in cancer. Nat Rev Cancer 16, 718–731 (2016). https://doi.org/10.1038/nrc.2016.76
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DOI: https://doi.org/10.1038/nrc.2016.76
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