Literature DB >> 27270434

Metabolic rewiring in melanoma.

B I Ratnikov1, D A Scott1, A L Osterman1, J W Smith1, Z A Ronai1.   

Abstract

Oncogene-driven metabolic rewiring is an adaptation to low nutrient and oxygen conditions in the tumor microenvironment that enables cancer cells of diverse origin to hyperproliferate. Aerobic glycolysis and enhanced reliance on glutamine utilization are prime examples of such rewiring. However, tissue of origin as well as specific genetic and epigenetic changes determines gene expression profiles underlying these metabolic alterations in specific cancers. In melanoma, activation of the mitogen-activated protein kinase (MAPK) pathway driven by mutant BRAF or NRAS is a primary cause of malignant transformation. Activity of the MAPK pathway, as well as other factors, such as HIF1α, Myc and MITF, are among those that control the balance between non-oxidative and oxidative branches of central carbon metabolism. Here, we discuss the nature of metabolic alterations that underlie melanoma development and affect its response to therapy.

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Year:  2016        PMID: 27270434      PMCID: PMC5140782          DOI: 10.1038/onc.2016.198

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


Introduction

Melanoma is the most aggressive and, until recently, the most treatment-resistant form of skin cancer[66]. Melanomas arise from neural crest progenitor-derived, melanin-producing cells called melanocytes, which reside in the skin, eye, mucosal epithelia and meninges of the brain and spinal cord. In cutaneous melanoma, MAPK signaling is often turned on due to activating mutations in genes regulating the pathway. The largest genomic subtype exhibits mutations in BRAF (52%)[11], most of which are V600E, followed by the significantly less frequent V600K and V600R mutations. The second most prevalent oncogenic mutations, which occur in 28% of melanomas, target the NRAS gene primarily at residue Q61 (Q61R, Q61K, Q61L and Q61H). The third most commonly mutated gene, also in the MAPK pathway, is NF1, which is altered in 14% of patient samples. Remaining melanomas comprise the so-called triple wild-type subtype: among them are tumors bearing mutations and amplification of the tyrosine kinase c-Kit, a member of the MAPK pathway, and microphthalmia-associated transcription factor MITF[64], both of which play a major role in normal melanocytic development. In uveal melanoma, which is biologically distinct from its cutaneous counterpart, somatic mutations occur mostly in in genes encoding guanine nucleotide-binding protein G(q) subunit alpha (GNAQ) and guanine nucleotide-binding protein subunit alpha-11 (GNA11), two closely related large GTPases of the Gaq family[110, 111]. Metabolic rewiring is a hallmark of malignant transformation across all cancer types[10, 56, 115, 132]. The tumor microenvironment, which is often poorly vascularized, subjects cancer cells to oxygen and nutrient deprivation, both of which drive metabolic changes promoting their survival and growth under such stressful conditions. Rapid proliferation increases demand for energy required for macromolecular biosynthesis as well as for precursors of amino acids, nucleotides and lipids. As a result, central carbon metabolism is frequently altered in transformed cells[17, 21, 30, 114]. Given the prevalence of BRAF mutations in melanoma and their importance in metabolic reprogramming[2], we focus primarily on metabolic alterations mediated by oncogenic BRAF. Metabolic rewiring in melanoma is also governed by MITF, which, interestingly, can be either upregulated (or amplified)[32] or mutated (or downregulated)[128] in melanoma, the latter more associated with metastatic and therapy-resistant tumors[83]. This observation suggests that too much or too little of MITF elicits oncogenic transformation, likely by perturbing different transcriptional programs. Another E-box binding transcription factor amplified in a subset of melanomas is c-Myc[55, 80]. Here we review recent literature relevant to metabolic rewiring in melanoma in the context of oncogenic BRAF[25, 85], HIF1α, MITF[40] and c-Myc, focusing on the interplay of non-oxidative and oxidative branches of central carbon metabolism in cytosolic versus mitochondrial compartments.

Metabolic changes in glycolysis and related pathways

Highly proliferative phenotypes exhibited by cancer cells are supported in part by aerobic glycolysis (the Warburg effect[114]), which supplies energy and building blocks for macromolecule biosynthesis[18, 69]. In normoxia, melanoma cells of varying oncogenic backgrounds, like other tumor cells or untransformed cells, often display highly glycolytic phenotypes in which 60–80% of glucose is converted to lactate, an activity enhanced to 90% or more in hypoxia[99]. Oxygen availability is one of the major factors determining the metabolic state of mammalian cells. Under low oxygen, Hypoxia Inducible Factors (HIF) induce a transcriptional program adapting the cell to hypoxic stress, which has a profound impact on central carbon metabolism[71]. Hypoxia induced accumulation of HIF1 leads to increased glycolytic rates, accompanied by loss of glucose carbon utilization in the TCA cycle due HIF-mediated expression of Pyruvate Dehydrogenase Kinase 1 (PDK1)[53], thereby decreasing mitochondrial respiration[87]. Stability of HIF1α protein in hypoxia and normoxia can be affected by oncogenes, such as Ras[73], Src[49] as well as activation of the RAS/MAPK pathway[100]. In cancer cells HIF1α stimulates glycolysis by upregulating expression of genes involved in glucose uptake and subsequent utilization along the pathway[21]. Malignant melanoma cells often exhibit constitutive HIF1 activity even under normoxia[57]. Glucose transport, which is upregulated in many cancer types (melanoma included), is facilitated by increased expression of the transporter protein GLUT1 (SLC2A1)[54] (Fig. 1). In addition, high rates of aerobic glycolysis enhance lactate production due to increased expression of lactate dehydrogenase A (LDHA), promoting formation of tetrameric LDH isoforms 3, 4 and 5[44]. The latter favor formation of lactate from pyruvate, while isoforms 1 and 2 preferentially catalyze lactate-pyruvate interconversion due to presence of LDHB in the tetramer[90]. The gene that encodes LDHA is a known HIF1α[21, 29] target. Thus, in hypoxic conditions, the contribution of glucose to TCA cycle metabolite pools decreases dramatically, and they are instead mostly derived from glutamine, an important carbon source used by diverse tumor cells[121]. Notably, under hypoxia, fatty acid biosynthesis is partially supported by glutamine carbon through reductive carboxylation of alpha-ketoglutarate due to reversal of the α-ketoglutarate-to-citrate segment of the TCA cycle[28, 99] (Fig. 1). This phenomenon has been observed in other cancer cells[76] and mechanistically requires activity of the isocitrate dehydrogenase 1 and 2 (IDH1 and 2)-dependent pathway, which is predominant at low oxygen levels[28, 76]. Interestingly, although both IDH isoenzymes require NADP+, IDH1 is expressed in the cytosol and IDH2 in mitochondria, and both support reductive carboxylation. NAD+-dependent IDH3 functions only in the oxidative direction[76]. Mutations at positions R132 and R172 of IDH1 and 2 respectively or at R140 of IDH2 render these enzymes incapable of generating α-ketoglutarate (α-KG) and instead they begin synthesizing an oncometabolite 2-hydroxoglutarate (2-HG) from isocitate[123]. Loss of α- KG leads to increase in HIF-1α levels due to insufficient activity of α-KG-dependent prolylhydoxylases (PHD)[134]. In addition, 2-HG acts a competitive inhibitor of α-KG-dependent dioxygenases including the TET family of 5-methlycytosine (5-mC) hydroxylases, thereby affecting histone demethylation and 5mC hydroxylation[13, 123]. Loss of 5-hydroxymethylcytosine (5-hmC) associated with inhibition of the TET family of 5-mC hydroxylases has been reported as an epigenetic hallmark of melanoma, likely due to IDH2 downregulation[63]. Another report indicates that 10% melanomas harbor mutant IDH1 or 2, thereby providing in vivo growth advantage[101].
Figure 1

Metabolic rewiring in melanoma

Pathway end products are shown in green, factors affecting expression of metabolic genes or their regulators in blue (letters and arrows). OIS – oncogene induced senescence. Allosteric activation of PKM2 by serine is shown as red arrow. Metabolic enzyme and metabolite carrier names are in red. Glutamate as the major metabolite participating in both influx and outflow of glutamine carbon from the TCA cycle is shown in red bold letters and is also underlined. Dotted arrows indicate multistep reactions.

Metabolic pathways: 1. Glycolysis, 2. Pentose phosphate pathway, 3. Serine and glycine biosynthesis, 4. Folate pathway, 5. Gluconeogenesis, 6. Tricarboxylic (TCA) acid cycle, 7. Fatty acid biosynthesis, 8. Proline biosynthesis: a – from glutamate, b – from arginine.

Metabolites: G6P – glucose 6 phosphate, F6P – fructose 6 phosphate, GA3P – glyceraldehyde 3 phosphate, PEP – phosphoenolpyruvate, OAA – oxaloacetate, DHF – dihydrofolate, THF – tetrahydrofolate, me-THF - 5,10-methylene-THF, F-THF - 10-formyltetrahydrofolate, P5C – pyrroline-5 carboxylate,

Genes: GLUT1 (SLC2A1) - facilitated glucose transporter member 1, PHGDH - phosphoglycerate dehydrogenase, SHMT1&2 – serine hydroxylmethyl transferases 1 (cytosolic) and 2 (mitochondrial), GCS – glycine cleavage system, DHFR – dihydrofolate reductase, PKM2 – pyruvate kinase isoform M2, PCK1 - phosphoenolpyruvate carboxykinase, LDHA – lactate dehydrogenase A, GOT1 and 2 – glutamate to oxaloacetate aminotransferase isoforms 1 and 2, MCP 1 and 2 – mitochondrial pyruvate carriers 1 and 2, PDH – pyruvate dehydrogenase complex, PDK1 – pyruvate dehydrogenase kinase, PDP2 - pyruvate dehydrogenase phosphatase 2, ASNS – asparagine synthetase, IDH1&2 – isocitate dehydrogenases 1 (cytosolic and peroxisomal) and 2 (mitochondrial), GLS – kidney type glutaminase, GLUD1 – glutamate dehydrogenase 1, GPT2 – glutamate to pyruvate aminotransferase 2, PYCR – pyrroline-5 carboxylate reductase: 1 – isoform 1, 2 – isoform 2, 3 – isoform 3, OAT – ornithine aminotransferase, SLC1A5 – glutamine plasma membrane carrier.

The serine and glycine biosynthetic pathway plays a significant role in metabolic rewiring in many cancers to enable proliferative phenotypes[3, 58, 68, 126]. Melanoma cells are no exception: the gene that encodes the first enzyme in the serine biosynthetic pathway, phosphoglycerate dehydrogenase (PHGDH), is amplified in a significant percentage of melanoma tumor samples, more frequently than in most tumor types[6, 82]. Importantly, PHGDH has been identified as one of the few putative metabolic oncogenes[82], and the region of human chromosome 1p12 harboring it, which is devoid of other known oncogenes, is frequently amplified in melanoma[6]. Serine is synthesized via the pathway branching from glycolysis and consisting of three steps, starting with oxidation of 3-phosphoglycerate to 3-phosphohydroxypyruvate and generating one reducing equivalent in the form of NADH from NAD+ by PHGDH activity (Fig. 1). The next steps involve transamination of 3-phosphohydroxypyruvate to phosphoserine, followed by dephosphorylation to serine (Fig. 1). PHGDH gene silencing in cells with aberrantly high PHGDH expression decreases serine biosynthesis and proliferation[67]. Although PHDGH’s oncogenic properties are still a matter of debate, it is well known that serine is a vital intermediate in several biosynthetic pathways[3]. One report demonstrated the importance of 3-phosphohydroxypyruvate transamination in generating α-ketoglutarate for TCA cycle anaplerosis[91]. However, this mechanism does not appear to play a major role in melanoma cells, in which alanine and aspartate transaminases together with glutamate dehydrogenase serve as major contributors to glutamate carbon flux into the TCA cycle[93, 99]. Surprisingly, supplementation of cell culture medium with exogenous serine does not rescue proliferation in melanoma cells following PHGDH knockdown[82]. Therefore, in addition to controlling intracellular serine levels, activity of the serine biosynthetic pathway and related pathways may confer growth advantages to tumor cells harboring amplified PHGDH. Those advantages could include generation of reducing equivalents in the form of NADH, which would alter the cytosolic redox balance, and production of cytosolic α-ketoglutarate, which is important for many biochemical processes, including amino acid transamination. Serine is used in transfer of one carbon unit to tetrahydrofolate, leading to formation of 5,10-methylene-tetrahydrofolate, which is later converted to 10-formyltetrahydrofolate and contributes to purine and pyrimidine biosynthesis[3] (Fig. 1). Glycine may also be a significant source of methyl groups for one carbon units and is essential for glutathione biosynthesis (Fig. 1)[3]. Notably, serine controls activity of pyruvate kinase isoform M2 (PKM2), the most abundant metabolic enzyme in proliferating cells[74]. When its levels are high, serine allosterically activates PKM2[125], accelerating the rate of aerobic glycolysis. When serine is deficient, lower PKM2 activity allows glycolytic intermediates to back up and fuel serine biosynthesis and the pentose phosphate pathway. Whether the pyruvate kinase M2 isoform is required for tumor cell proliferation remains unclear, although PKM2 depletion accelerates mammary tumor growth in a mouse model[47]. PKM1 expression in untransformed primary cells deficient in PKM2 promotes a metabolic state marked by unsupported DNA biosynthesis, thus impacting proliferation[70]. Detailed reviews of pyruvate kinase M2 regulation and function in cell proliferation are available[36, 74]. Melanoma cells reportedly can also redirect glucose carbon toward serine and glycerol-3-phosphate pathways by upregulating expression of the cytosolic gluconeogenic enzyme phosphoenolpyruvate carboxykinase (Fig. 1), promoting proliferation of tumor-repopulating cells with stem-like properties[62] without activating gluconeogenesis, and surprisingly, strengthening glycolytic flux by increasing glucose uptake and lactate production. Silencing or inhibition of phosphoenolpyruvate carboxykinase suppresses tumorigenesis in vivo and cell proliferation in vitro[62]. Alterations in nucleotide biosynthetic pathways can modulate melanoma aggressiveness. Downregulated expression of guanosine monophosphate reductase (GMPR) promotes invasive phenotypes in melanoma cells[116]. GMPR participates in de novo purine biosynthesis by converting guanosine monophosphate (GMP) to inositol monophosphate, thereby fueling adenosine monophosphate synthesis and diverting GMP away from GTP generation. This activity decreases both intracellular GTP pools and levels of GTP-bound activated Rho GTP-ases, limiting invasiveness of metastatic melanoma cells. Expression of guanosine monophosphate reductase is downregulated in human invasive melanoma samples[116].

Pyruvate – the gatekeeper of mitochondrial metabolism

Pyruvate is at the crossroads of glycolysis and the TCA cycle. In melanoma, pyruvate is reportedly a pivotal metabolite in BRAFV600E-driven tumors, and the way it is utilized either promotes oncogene-induced senescence (OIS), via a shift toward oxidative metabolism, or tumorigenesis, by fueling aerobic glycolysis[51, 85] (Fig. 1). In the absence of additional oncogenic insult, the BRAFV600E mutation induces growth arrest and leads to senescence in human naevi[77]. Studies conducted in BRAFV600E-mutant human fibroblasts demonstrate that OIS is accompanied by enhanced utilization of pyruvate in the TCA cycle facilitated by activity of the pyruvate dehydrogenase complex (PDH)[51]. Among other mechanisms, PDH activity is regulated by modification by either pyruvate dehydrogenase kinases (PDKs) or phosphatases (PDPs)[88]. In senescent cells, the balance shifts toward lower PDK1 activity and higher PDP2 activity, enhancing pyruvate-driven oxidative metabolism due to increased PDH activity. Importantly, PDH activity is required to maintain OIS, as PDK1 overexpression in BRAFV600E melanocytes is sufficient to promote tumorigenesis and abrogate senescence[51] Silencing PDK1 in a xenograft model decreases tumorigenesis or promotes regression of established tumors. These findings are in line with observations that dichloroacetate, a PDK inhibitor, suppresses tumor growth in vitro and in vivo[78]. Significantly, PDK1 knockdown enhances sensitivity of BRAFV600E melanoma cells to BRAF inhibitors, suggesting that combining PDK1 and BRAF inhibition could have clinical application. Pyruvate transport into mitochondria occurs via the carrier proteins MPC1 and MPC2, and in cancer cells their expression modulates pyruvate oxidation[96]. MPC1 loss is correlated with poor patient outcomes, and increasing its expression in tumor cells significantly inhibits anchorage-independent cell growth without altering growth in adherent culture. Interestingly, suppression of pyruvate transport in myoblasts dramatically decreases glucose consumption and pyruvate oxidation but does not alter cell growth, TCA cycle activity, or mitochondrial respiration[108], likely due to enhanced TCA cycle glutaminolysis via malic enzyme and pyruvate dehydrogenase activity, and elevated branched chain amino acid and fatty acid beta oxidation. As a metabolic adaptation, mitochondria switch to synthesizing pyruvate internally in the absence of pyruvate transport from the cytosol[108]. In contrast, inhibition of PDH or mitochondrial complex I does not induce a compensatory response. These observations indicate significant flexibility in substrate utilization to derive pyruvate when its availability from glycolysis is diminished as well as in activating alternative pathways to generate Acetyl-CoA to sustain TCA activity. Another study utilizing glioma cells established that blockade of pyruvate mitochondrial transport activated glutamate dehydrogenase, which was accompanied by rerouting of glutamine carbon in the TCA cycle via reductive carboxylation to produce oxaloacetate and Acetyl-CoA[124]. Inhibitors of glutamate dehydrogenase have antiproliferative effects in cultured cells and cause synthetic lethality when combined with inhibitors of mitochondrial pyruvate transport.

Glutamine metabolism is uniquely altered in melanoma

Glutamine addiction is a hallmark of oncogenic transformation, melanoma included[27], and glutamine withdrawal reportedly induces tumor cell apoptosis[131, 133]. In addition to being one of the 20 proteinogenic amino acids, glutamine is an anaplerotic substrate, one whose carbon is used to maintain pools of TCA cycle intermediates and for biosynthesis of glutamate, aspartate, proline and asparagine. Glutamine alpha nitrogen is used for transamination of alpha keto acids following glutamine conversion to glutamate, and glutamine gamma nitrogen is used for purine, hexosamine, and asparagine and as a vital redox carrier NAD and NADP biosynthesis[19]. It is not surprising then that cancer cells are critically dependent on glutamine, which is the most abundant amino acid in blood. To serve as an energy substrate in the TCA cycle via glutaminolysis, a primary pathway utilized by cancer cells, glutamine is deamidated to glutamate in mitochondria by the mitochondrial splice variant (GAC) of kidney type glutaminase (GLS) (Fig. 1)[12], whose expression is essential for tumor cell growth[109]. Glutamate is then converted to α-ketoglutarate by deamination by glutamate dehydrogenase (GDH) or transamination by alanine or aspartate aminotransferases (GPT or GOT, respectively). A systematic study of glutamine utilization in melanoma lines harboring diverse mutations revealed a heretofore unappreciated major mode of energy-producing glutaminolysis, whereby glutamine carbon enters and exits the TCA cycle via the same intermediate - glutamate. This occurs via both GDH activity, which feeds glutamine carbon into the TCA cycle, and GPT and GOT, both of which supply and export glutamine carbon in and out of the TCA cycle[93]. This mechanism is significant, as previously glutaminolysis was considered primarily to constitute a way to convert glutamine to lactate via malic enzyme[17]. The requirement for glutamine for optimal melanoma cell growth is mostly driven by energy-producing TCA cycle anaplerosis and asparagine biosynthesis[93] (Fig. 1). Complementing these findings, another study using tumor cells from different tissues of origin found that asparagine played a critical role in regulating cellular adaptation to glutamine deficiency, primarily by blocking the apoptotic arm of the ATF4-mediated amino acid starvation response[133]. Aspartate, which functions in purine and pyrimidine biosynthesis, cannot be effectively salvaged in melanoma cells and must be synthesized internally[93], making its generation via anaplerotic use of glutamine critical for highly proliferative melanoma cells. In agreement, recent elegant studies addressing the role of mitochondrial respiration in proliferating cells demonstrated an essential function of the mitochondrial electron transport chain (ETC) in supporting aspartate biosynthesis[8, 106]. Interestingly, following ETC inhibition, cytosolic rather than mitochondrial aspartate biosynthesis is enabled by reverse action of the cytosolic isoform of glutamate to oxaloacetate transaminase (GOT1), a process stimulated by addition of extracellular pyruvate[8]. This important finding provides a mechanistic basis for the long-standing observation that very high pyruvate levels rescue cellular proliferation when the TCA cycle is disrupted[42]. The authors provide further evidence that cells use salvaged pyruvate to generate NAD+ necessary to activate the cytosolic isoform of malate dehydrogenase (MDH1), as MDH1 knockdown blocks the ability of pyruvate to rescue TCA inhibition, an outcome rescued by MDH1 overexpression. In the presence of NAD+, MDH1 acts on malate to generate NADH and oxaloacetate, which is then converted to aspartate by cytosolic GOT1.[112]. A notable feature of glutamine metabolism in melanoma cells is upregulation of genes participating in proline biosynthesis from glutamate, resulting in substantially increased proline generation by tumor cells relative to melanocytes[16]. MYC is an oncogene contributing to many human malignancies and greatly affecting central carbon metabolism[14]. C-Myc undergoes amplification in a subset of melanomas[55]. Glutamine utilization and proline biosynthetic pathways are reportedly upregulated by c-Myc in many cancer cells[65]. Analysis of proline synthetic pathways, which converge at pyroline-5 carboxylate, identified distinct functions for isoforms of pyrroline-5 carboxylate reductase (PYCR1-3). Isoforms 1 and 2 catalyze proline biosynthesis in mitochondria from glutamine-derived pyrroline-5 carboxylate via glutamate using NADH as cofactor, while PYCR3 uses an arginine-derived intermediate via ornithine as a substrate to generate proline in the cytosol and shows a significant preference for NADPH[16] (Fig. 1). Differential regulation of enzymatic activity of each isoform by extracellular proline is a notable feature of this enzyme family. Cytosolic PYCR3 activity is unaffected by proline levels of up to 1 mM, while mitochondrial PYCR2 is intermediately sensitive to product inhibition, retaining more than half of its activity at 0.5 mM proline, a concentration sufficient to completely inhibit the PYCR1 mitochondrial isoform. Melanoma cells synthesize proline even when it is abundant in the medium, and given that its concentration in blood ranges from 50 to 350 µM[122], pathway activity rather than product levels may be critical in tumorigenesis, possibly by concurrent generation of oxidizing equivalents in the form of NAD+ in mitochondria and NADP+ in the cytosol.

Ketogenesis promotes BRAFV600E-mediated activation of MEK-ERK signaling

A screen performed using melanoma lines expressing the BRAFV600E mutant revealed the mitochondrial ketogenic enzymes HMG-CoA synthase 1 (HMGCS1) and 3-hydroxy-3-methylglutaryl-CoA lyase (HMGCL) to be synthetic lethal partners of oncogenic BRAF in a metabolic gene knockdown screen, implicating the ketogenesis pathway as a potential target in that tumor context[50]. Ketogenesis normally occurs in liver in response to starvation, prolonged strenuous exercise, or pathologically, in uncontrolled diabetes[75]. Expression of oncogenic (V600E) but not wild-type BRAF causes upregulation of HMGCL at mRNA and protein levels. In primary tumor human tissue samples, HMGCL overexpression on a BRAFV600E background is accompanied by elevated phosphorylation and activation of MEK1 and ERK relative to tumor cells with wild-type BRAF[50]. Elevated HMGCL expression accompanied by increased MEK1 and ERK phosphorylation is also seen in primary human leukemia cells derived from patients with hairy cell leukemia whose tumors harbor the somatic BRAFV600E mutation. This observation provides independent confirmation of the connection between oncogenic BRAF and HMGCL overexpression seen in melanoma patients. Importantly, HMGCL is required for BRAFV600E-induced cell transformation, as knockdown of either mutant BRAF or HMGCL decreases cell proliferation and tumor growth in xenograft models. The mechanistic link between HMGCL activity and BRAFV600E-driven cell transformation suggests selective enhancement of MEK-ERK activation, as evidenced by attenuated cell proliferation of BRAFV600E- but not wild-type BRAF-expressing cells following HMGCL knockdown, the former accompanied by loss of MEK1 and ERK1/2 phosphorylation. Of interest, acetoacetate was identified as a factor promoting BRAFV600E-activated signaling. Addition of acetoacetate but not 3-hydroxybutyrate to the medium of cultured melanoma cells selectively promoted proliferation of BRAFV600E but not BRAF wild-type cells and rescued growth phenotypes induced by HMGCL knockdown in the former. Rescue of growth phenotypes by acetoacetate was accompanied by increased MEK1 and ERK1/2 phosphorylation, while addition of 3-hydroxybutyrate had no effect on either. In vitro studies showed that acetoacetate selectively promotes MEK1 phosphorylation in the presence of V600E but not wild-type BRAF. Treatment of cells with acetoacetate but not 3-hydroxybutyrate reportedly increased both binding and phosphorylation of MEK1 by oncogenic but not wild-type BRAF, providing the molecular basis for the observed phenotype. BRAFV600E knockdown or inhibition decreased both HMGCL mRNA and protein levels, an effect not observed in the presence of wild-type BRAF or following MEK1 inhibition. This suggests that induction of HMGCL expression is independent of MAPK pathway activity. Furthermore, Oct1 was identified as a driver of HMGCL transcription through an Oct1-specific response element on its promoter (Fig 2). The ability of Oct1 to stimulate HMGCL expression is apparently controlled by BRAFV600E activity, as both BRAFV600E knockdown or its inhibition by PLX4032 attenuated Oct1 binding to the identified promoter region. Overall, BRAFV600E activates Oct1, leading to HMGCL expression. In turn, generation of its product acetoacetate selectively enhances BRAFV600E -mediated signaling via the MEK-ERK pathway.
Figure 2

MAPK pathway activity, oncogenic BRAF and oxidative metabolism in melanoma

Oncogenic BRAF activity induces formation of ketone body acetoacetate, which enhances MAPK pathway activity by promoting binding between BRAFV600E and MEK1. Inhibition of oncogenic BRAF de-represses MITF expression leading to increased mitochondrial biogenesis and oxidative phosphorylation due to enhanced expression of the master mitochondrial regulator PGC1α, which also suppresses glycolysis. High PGC1α levels are critical for survival and tumorigenesis of a subset of melanomas relying heavily on oxidative metabolism by upregulating expression of ROS detoxification genes, thus mitigating oxidative stress. NRAS activation by mutations or loss of activity of the NF1 tumor suppressor[102] can contribute to the activation of the MAPK pathway. Abbreviations: HMGCL - 3-hydroxy-3-methylglutaryl-CoA lyase, OXPHOS – genes encoding proteins participating in TCA cycle activity, oxidative phosphorylation and ATP production in mitochondria, ROS – reactive oxygen species, BRAFi – inhibitors of BRAFV600E activity, I – V – mitochondrial complexes 1 through 5.

Oncogenic BRAF regulates oxidative metabolism in melanoma

It is well established that oncogenic BRAF regulates metabolic reprogramming in melanoma[40]. Treatment of BRAFV600E cells with the BRAF inhibitor vemurafenib results in increased expression of several genes functioning in the TCA cycle as well as that of genes associated with oxidative phosphorylation and ATP synthesis, effects not seen in wild-type BRAF melanoma cells. Similarly, treatment of BRAF-mutant but not wild-type cells with the BRAF inhibitor PLX4720 increases mitochondrial density and ROS production and decreases glucose conversion to lactate, suggesting that glucose carbon is rerouted away from glycolysis and towards oxidative phosphorylation in those cells. Activation of BRAF or MAPK in melanoma cells downregulates expression of PGC1a (PPARgC1A), a member of a small family of transcriptional co-activators (including PGC1b and PRC) that promotes mitochondrial biogenesis and enhances oxidative phosphorylation[92]. Conversely, treatment of any melanoma cells carrying oncogenic BRAF with PLX4720 significantly increases PGC1α mRNA levels[40]. Acquired resistance of melanoma cells to BRAF inhibitors downregulates PGC1α expression, in agreement with elevated basal MAPK activity. Interestingly, treatment of BRAFV600E-mutant colon cancer cells with PLX4720 does not alter PGC1α expression, despite decreased ERK phosphorylation, suggesting that the BRAF/PGC1α link is lineage-specific. MITF[39] is a lineage-specific oncogene amplified in 30% of melanomas[32] and harboring a point mutation (E318K) leading to impairment in SUMOylation and predisposing to melanoma and renal carcinoma[7, 128]. MITF was found to promote expression of metabolic genes functioning in oxidative phosphorylation by upregulating PGC1α in a subset of melanomas, inducing changes in oxidative metabolism[40, 113] (Fig. 2). The same metabolic genes were found to be PGC1α-responsive in other lineages[81]. Both MITF and PGC1α levels are inversely proportional to MAPK pathway activity based on the MAPK activation signature seen in several melanomas carrying oncogenic BRAF[40]. These data indicate that inhibition of BRAF/MAPK signaling triggers MITF expression followed by PGC1α induction in melanoma. Elevated MITF and PGC1α levels are also observed in biopsies from melanoma patients who have been treated with BRAF/MEK inhibitors BRAF inhibition reportedly causes energetic adaptation of melanoma cells via MITF and PGC1α induction, such that low ATP levels due to downregulated glycolysis are partially restored by MITF expression via PGC1α-driven mitochondrial biogenesis and increased oxidative metabolism, thus making cells more sensitive to the mitochondrial uncoupler 2,4-dinitrophenol[40]. Induction of oxidative phosphorylation limits BRAF inhibitor efficacy, as forced expression of PGC1α in BRAFV600E melanoma cells desensitizes them to treatment, and high PGC1α expression positively correlates with poorer survival of patients with stage III melanoma[9, 40]. Overall, these observations suggest that induction of oxidative metabolism limits BRAF inhibitor efficacy but that combining BRAF and mitochondrial inhibitors has an additive effect. Phenformin, a known inhibitor of AMP-activated protein kinase, reportedly enhances the therapeutic efficacy of BRAFV600E in melanoma[84, 129], effects thought to result from synergy with PLX4720 in inhibiting mTOR and inducing apoptosis. Significantly, phenformin selectively inhibits growth of slow cycling melanoma cells expressing JARID1B (an H3K4 demethylase), while PLX4720 targets JARID1B-negative cells[129]. Expression of JARID1B is important for maintenance of long-term melanoma tumor growth[94]. Combined PLX4720 plus phenformin treatment significantly delays acquisition of resistance to BRAF inhibitors in cultured melanoma cells and induces tumor regression in xenograft and BRAFV600E/PTEN−/−-driven melanoma mouse models[129]. Metabolic analysis revealed that treatment with biguanides (such as phenformin and metformin) prevents the boost in glycolytic and TCA cycle intermediates during oncogenic transformation, effects consistent with inhibition of mitochondrial complex I[48]. Accordingly, another study reports that BPTES, an inhibitor of the mitochondrial glutaminase, synergizes with BRAF inhibitors due to the increased reliance of BRAFV600E-inhibited melanoma cells on glutamine anaplerosis[4, 43]. Glutaminase inhibition significantly delayed if not prevented acquisition of resistance, similar to synergistic effects observed following PLX4720/phenformin treatment. Overall, these studies independently confirm that combined targeting of mitochondrial oxidative metabolism and oncogenic BRAF signaling synergistically suppresses melanoma progression. Although almost ~20% of cutaneous melanomas have activating NRAS mutations[11], surprisingly little is known about the metabolic consequences of aberrant NRAS signaling. However, it should be noted that somatic mutations in KRAS account for most human cancer-associated mutations[5, 98] and multiple studies address the metabolic rewiring arising from them in pancreatic and other cancers highlighting changes in glutamine utilization[31, 104], anabolic glucose metabolism[31, 127, 130], mitochondrial metabolism and ROS[118].

Mitochondrial ROS contributes to melanoma metastasis

Increased ROS generation due to high or dysregulated metabolic activity is a stress factor that plays a significant role in tumorigenesis[37]. Depending on context, ROS generation can enhance[117] or block tumor progression[23, 107] by either promoting genomic instability and stimulating cell proliferation or inducing cellular toxicity, respectively. Moderately elevated ROS levels function in signaling and are necessary for normal cell physiology, while high levels induce oxidative stress[97]. Thus, modulation of ROS is considered an anticancer strategy[35]. Activation of antioxidant scavenging enables tumor cells to adapt to and protect themselves against elevated ROS[86, 103]. PGC1α reportedly functions to control mitochondrial ROS generation[105], and its expression increases in response to upregulated metabolic activity together with induction of mitochondrial biogenesis and oxidative capacity[38] (Fig. 2). Melanoma cells exhibiting high PGC1α levels likely depend on its expression for survival and tumorigenesis[113]: PGC1α knockdown in those cells activates the intrinsic apoptotic pathway. PGC1α loss also promotes decreased mitochondrial membrane potential accompanied by elevated ROS and lowered levels of glutathione (GSH), cystathionine, and 5-adenosylhomocysteine[113]. Activation of apoptosis in melanoma cells is largely suppressed by antioxidant treatment, indicating that ROS levels in the absence of PGC1α expression promote cell death. In agreement, expression of several genes functioning in ROS detoxification decreases upon PGC1α knockdown. Loss of PGC1α target genes, such as components of mitochondrial respiratory complexes, also increases ROS and decreases GSH levels, suggesting that in addition to downregulation of detoxification genes, uncontrolled ROS generation in melanoma cells occurs due to defects in mitochondrial bioenergetics following PGC1α depletion. Conversely, increased PGC1α levels in response to ectopic expression of either MITF or PGC1α itself elevate expression of the mitochondrial ROS detoxification genes SOD2 and GPX1, a finding supporting PGC1α function in activating the ROS detoxification program and driving melanoma cell survival[113]. Although antioxidants are promoted as beneficial anticancer agents for patients, their use has been controversial[33, 119, 120], as some clinical trials suggest they increase cancer risk[1, 34, 60]. There are reports that antioxidants stimulate tumor initiation and progression[20, 22, 41, 95], while two recent studies demonstrate that oxidative stress inhibits metastasis but not primary tumor growth in mouse models of melanoma[59, 89]. Investigators showed that following intravenous or splenic injection of patient-derived melanoma cells into mice, tumor formation was significantly suppressed relative to subcutaneous implantation, particularly in the case of inefficiently metastasizing cells[89]. Melanoma cells in the bloodstream and internal organs undergo oxidative stress not observed in established subcutaneous tumors. Statistical analysis of metabolic profiles from tumor samples shows that data obtained from metastatic nodules derived from liver, pancreas or kidney tends to cluster together but separately from subcutaneous tumors. Notably, GSH/GSSG (reduced to oxidized glutathione) ratios are always higher in subcutaneous than in circulating tumor cells or metastatic nodules, in concordance with elevated GSH consumption that occurs during oxidative stress in metastasizing cells relative to established tumors[89]. In agreement with that, cytosolic ROS levels were higher and mitochondrial membrane potential lower in melanoma cells found in the bloodstream and distant metastatic sites compared to subcutaneous tumors. Treatment of mice with the antioxidant N-acetyl cysteine (NAC) had no effect on growth of subcutaneous tumors but significantly increased the number of tumor cells in blood as well as metastatic spread. In a BRAFV600E/PTEN−/− mouse melanoma progression model[15], NAC administration in drinking water had no impact on tumor burden but significantly increased the number of lymph node and (to a lesser degree) lung metastases[59]. Interestingly, NAC treatment also does not alter proliferation but increases migration and invasion of human malignant melanoma cells in vivo in this model[59]. Migratory and invasive phenotypes were positively correlated with an increased GSH/GSSG ratio and were abolished by simultaneous administration of an inhibitor of de novo glutathione biosynthesis (L-BSO). The inability of antioxidants to induce migratory and invasive phenotypes in the presence of BSO indicates that glutathione biosynthesis, not just GSSG reduction, is necessary for the effect. Changes in redox status also reportedly alter nucleotide binding by the RHO family of GTP-ases[45, 46, 79]. GTP loading of RHOA but not RAC1 increases consistently following treatment with antioxidants like NAC and the vitamin E analog Trolox. Inhibition of RHOA-associated kinase (ROCK), the downstream signaling partner of RHOA, prevents antioxidant-induced tumor cell migration without affecting basal migration. NADPH is required to reduce GSSG to GSH[26, 35, 61, 72] (Fig. 3), and increased NADP and NADPH levels are consistently observed in metastatic cells relative to subcutaneous tumors[89]. Lower NADPH/NADP ratios in metastatic cells are observed less consistently; thus the degree of oxidative stress could explain why elevated NADP and NADPH levels do not necessarily alter the ratio of the two. Folate metabolism is a major source of NADPH for oxidative stress management[26, 61, 126]. Metastatic cells contain higher levels of purine biosynthetic pathway intermediates compared to subcutaneous tumor cells from the same mice, suggesting that the folate pathway promotes distant metastasis (Fig. 3). Serine biosynthesis can contribute to activity of the folate pathway (Fig 1 and 3). Stable labeling of mouse tumors derived from patient melanoma cells with 13C-glucose indicates significantly increased 13C enrichment in serine and glycine in cells from metastatic tumors relative to their subcutaneous counterparts[89], with no 13C enrichment in 3-phosphoglycerate or lactate. These observations suggest that upregulated folate pathway activity underlies the increased contribution of glucose carbon to tissue serine and glycine levels. Analysis of expression of folate pathway genes revealed upregulation of the NADPH-producing oxidoreductase ALDH1L2 (Fig. 3) at the protein level in liver metastatic nodules relative to subcutaneous tumors, regardless of whether the latter were established using cells from metastatic sites or not, indicating that gene expression changes are reversible. Treatment of mice bearing patient-derived subcutaneous tumors with low doses of methotrexate, an inhibitor of dihydrofolate reductase (Fig. 1), in combination with thymidine and hypoxanthine to avoid side effects related to nucleotide biosynthesis, significantly reduced the number of tumor cells in circulation as well as the metastatic burden, further suggesting that NADPH generation is the folate pathway step most relevant to enhanced metastasis. Silencing of both ALDH1L2 and MTHFD1 (another NADPH-producing enzyme in the folate pathway (Fig. 3)) reduced the number of tumor cells in the bloodstream and in metastases. Thus, survival of metastasizing cells depends on their ability to combat oxidative stress, an activity afforded in part by the folate pathway. Interestingly, ALDH1L2 is a mitochondrial enzyme, while MTHFD1 resides in the cytosol (Fig. 3), indicating that NADPH production via the folate pathway in both compartments plays a role in ROS management in melanoma. A recent elegant study on compartmentalization of NADPH metabolism demonstrated that conversion of serine to glycine occurs primarily in the mitochondria of non-small lung carcinoma and alveolar basal adenocarcinoma, suggesting that mitochondrial SHMT2- but not cytosolic SHMT1-driven serine conversion to glycine (Fig. 1) is primarily responsible for NADPH generation in that system.[61]. In melanoma, an interplay between mitochondrial and cytosolic compartments apparently functions in ROS management, as both are reportedly involved in NADPH regeneration via the folate pathway. It is noteworthy, that the location of metastatic sites may influence the metabolic program executed by the invading cells as has been demonstrated for breast cancer cells[24].
Figure 3

ROS levels affect metastasis in melanoma

Distant metastasis causes oxidative stress in melanoma cells. Treatment with antioxidants promotes metastasis by enhancing GTP loading of RhoA GTPase and activating Rho-associated protein kinase (ROCK) thus inducing invasiveness. Activity of the folate pathway is important for mitigating oxidative stress by providing NADPH necessary for generation of reduced glutathione – a primary ROS detoxification agent.

Abbreviations: GSH – reduced glutathione, GSSG – oxidized glutathione, MTHFD - methylenetetrahydrofolate reductase 1 (cytosolic) and 2 (mitochomdrial), SOD – superoxide dismutase, GPX – glutathione peroxidase, GSR – glutathione reductase, 10-formyltetrahydrofolate dehydrogenase

Concluding remarks

In recent years significant advances have been made in treating metastatic melanoma[52, 66]. The advent of immunotherapies and BRAF inhibitors has significantly improved survival and for a subset of patients produced durable therapeutic benefits. The main issues still plaguing the field are lack of or poor response to immunotherapies and development of resistance to BRAF inhibition. These issues leave significant room for developing alternative approaches based on targeting auxiliary functions, such as metabolic enzymes and pathways, altered by malignant transformation, either individually or in combination with immune or chemotherapies. Metabolic reprogramming in melanoma occurs in response to oncogenic stimuli and as an adaptation to tumor microenvironment-dependent stress. Cytosolic and mitochondrial compartments often show patterns of reciprocal adaptation to accommodate changes in one versus the other. The cytosolic serine pathway is often upregulated in melanoma to drive one carbon metabolism important to mitigate ROS generated in mitochondria. Inhibition of one carbon metabolism is already a therapeutic strategy in cancer[68], and combined with other agents could prove useful in combating melanoma. Specifically, inhibiting the serine biosynthetic pathway reduced glutathione and NADPH levels to induce oxidative stress in metastatic cells., Higher ROS levels could decrease invasiveness of metastatic melanoma cells due to poor RHOA/GTP loading and activity. Hypoxia reduces glucose flux into the TCA cycle, enhancing glutamine carbon utilization for fatty acid biosynthesis via reductive carboxylation. Downregulation of ATP-generating glycolysis following inhibition of oncogenic BRAF leads to upregulation of oxidative phosphorylation via a PGC1α-driven mitochondrial generation program to restore ATP levels required for proliferative phenotypes. Combining BRAF inhibitors with inhibitors of mitochondrial function is one promising approach to block tumor cell proliferation, as supplementation with the biguanides metformin and phenformin or with the glutaminase inhibitor BPTES significantly delays onset of resistance in vitro and or in vivo. There is growing evidence that combining orthogonal approaches such as BRAF inhibition with targeting oxidative metabolism can result in significant synergy against melanoma, which could greatly improve disease outcomes. Alternative last paragraph: Finally, reports summarized here suggest that combining BRAF inhibitors with inhibitors of mitochondrial function is a promising approach to block tumor cell proliferation, as supplementation with the biguanides metformin and phenformin or with the glutaminase inhibitor BPTES significantly delays onset of chemoresistance in vitro and or in vivo. There is growing evidence that BRAF inhibitors plus reagents that target oxidative metabolism act synergistically to antagonize melanoma. If so, these approaches could greatly improve patient outcomes.
  134 in total

1.  On respiratory impairment in cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-08-10       Impact factor: 47.728

2.  A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.

Authors:  Corine Bertolotto; Fabienne Lesueur; Sandy Giuliano; Thomas Strub; Mahaut de Lichy; Karine Bille; Philippe Dessen; Benoit d'Hayer; Hamida Mohamdi; Audrey Remenieras; Eve Maubec; Arnaud de la Fouchardière; Vincent Molinié; Pierre Vabres; Stéphane Dalle; Nicolas Poulalhon; Tanguy Martin-Denavit; Luc Thomas; Pascale Andry-Benzaquen; Nicolas Dupin; Françoise Boitier; Annick Rossi; Jean-Luc Perrot; Bruno Labeille; Caroline Robert; Bernard Escudier; Olivier Caron; Laurence Brugières; Simon Saule; Betty Gardie; Sophie Gad; Stéphane Richard; Jérôme Couturier; Bin Tean Teh; Paola Ghiorzo; Lorenza Pastorino; Susana Puig; Celia Badenas; Hakan Olsson; Christian Ingvar; Etienne Rouleau; Rosette Lidereau; Philippe Bahadoran; Philippe Vielh; Eve Corda; Hélène Blanché; Diana Zelenika; Pilar Galan; François Aubin; Bertrand Bachollet; Céline Becuwe; Pascaline Berthet; Yves Jean Bignon; Valérie Bonadona; Jean-Louis Bonafe; Marie-Noëlle Bonnet-Dupeyron; Fréderic Cambazard; Jacqueline Chevrant-Breton; Isabelle Coupier; Sophie Dalac; Liliane Demange; Michel d'Incan; Catherine Dugast; Laurence Faivre; Lynda Vincent-Fétita; Marion Gauthier-Villars; Brigitte Gilbert; Florent Grange; Jean-Jacques Grob; Philippe Humbert; Nicolas Janin; Pascal Joly; Delphine Kerob; Christine Lasset; Dominique Leroux; Julien Levang; Jean-Marc Limacher; Cristina Livideanu; Michel Longy; Alain Lortholary; Dominique Stoppa-Lyonnet; Sandrine Mansard; Ludovic Mansuy; Karine Marrou; Christine Matéus; Christine Maugard; Nicolas Meyer; Catherine Nogues; Pierre Souteyrand; Laurence Venat-Bouvet; Hélène Zattara; Valérie Chaudru; Gilbert M Lenoir; Mark Lathrop; Irwin Davidson; Marie-Françoise Avril; Florence Demenais; Robert Ballotti; Brigitte Bressac-de Paillerets
Journal:  Nature       Date:  2011-10-19       Impact factor: 49.962

3.  Suppression of reactive oxygen species and neurodegeneration by the PGC-1 transcriptional coactivators.

Authors:  Julie St-Pierre; Stavit Drori; Marc Uldry; Jessica M Silvaggi; James Rhee; Sibylle Jäger; Christoph Handschin; Kangni Zheng; Jiandie Lin; Wenli Yang; David K Simon; Robert Bachoo; Bruce M Spiegelman
Journal:  Cell       Date:  2006-10-20       Impact factor: 41.582

Review 4.  Pyruvate kinase M2: regulatory circuits and potential for therapeutic intervention.

Authors:  Vibhor Gupta; Kathryn E Wellen; Sybille Mazurek; Rameshwar N K Bamezai
Journal:  Curr Pharm Des       Date:  2014       Impact factor: 3.116

5.  Mitochondrial localization and structure-based phosphate activation mechanism of Glutaminase C with implications for cancer metabolism.

Authors:  Alexandre Cassago; Amanda P S Ferreira; Igor M Ferreira; Camila Fornezari; Emerson R M Gomes; Kai Su Greene; Humberto M Pereira; Richard C Garratt; Sandra M G Dias; Andre L B Ambrosio
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-06       Impact factor: 11.205

Review 6.  Melanocyte biology and skin pigmentation.

Authors:  Jennifer Y Lin; David E Fisher
Journal:  Nature       Date:  2007-02-22       Impact factor: 49.962

7.  The metabolic profile of tumors depends on both the responsible genetic lesion and tissue type.

Authors:  Mariia O Yuneva; Teresa W M Fan; Thaddeus D Allen; Richard M Higashi; Dana V Ferraris; Takashi Tsukamoto; José M Matés; Francisco J Alonso; Chunmei Wang; Youngho Seo; Xin Chen; J Michael Bishop
Journal:  Cell Metab       Date:  2012-02-08       Impact factor: 27.287

Review 8.  Antioxidants and prevention of chronic disease.

Authors:  Joye K Willcox; Sarah L Ash; George L Catignani
Journal:  Crit Rev Food Sci Nutr       Date:  2004       Impact factor: 11.176

9.  The Society for Immunotherapy of Cancer consensus statement on tumour immunotherapy for the treatment of cutaneous melanoma.

Authors:  Howard L Kaufman; John M Kirkwood; F Stephen Hodi; Sanjiv Agarwala; Thomas Amatruda; Steven D Bines; Joseph I Clark; Brendan Curti; Marc S Ernstoff; Thomas Gajewski; Rene Gonzalez; Laura Jane Hyde; David Lawson; Michael Lotze; Jose Lutzky; Kim Margolin; David F McDermott; Donald Morton; Anna Pavlick; Jon M Richards; William Sharfman; Vernon K Sondak; Jeffrey Sosman; Susan Steel; Ahmad Tarhini; John A Thompson; Jill Titze; Walter Urba; Richard White; Michael B Atkins
Journal:  Nat Rev Clin Oncol       Date:  2013-08-27       Impact factor: 66.675

10.  Oncometabolite 2-hydroxyglutarate is a competitive inhibitor of α-ketoglutarate-dependent dioxygenases.

Authors:  Wei Xu; Hui Yang; Ying Liu; Ying Yang; Ping Wang; Se-Hee Kim; Shinsuke Ito; Chen Yang; Pu Wang; Meng-Tao Xiao; Li-xia Liu; Wen-qing Jiang; Jing Liu; Jin-ye Zhang; Bin Wang; Stephen Frye; Yi Zhang; Yan-hui Xu; Qun-ying Lei; Kun-Liang Guan; Shi-min Zhao; Yue Xiong
Journal:  Cancer Cell       Date:  2011-01-18       Impact factor: 38.585

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  69 in total

1.  Translation regulation in skin cancer from a tRNA point of view.

Authors:  Katerina Grafanaki; Dimitrios Anastasakis; George Kyriakopoulos; Ilias Skeparnias; Sophia Georgiou; Constantinos Stathopoulos
Journal:  Epigenomics       Date:  2018-12-19       Impact factor: 4.778

2.  Cancer Cell Plasticity: Rapid Reversal of Chemosensitivity and Expression of Stemness Markers in Lung and Breast Cancer Tumorspheres.

Authors:  Juan Sebastian Yakisich; Neelam Azad; Vivek Kaushik; Anand Krishnan V Iyer
Journal:  J Cell Physiol       Date:  2017-03-31       Impact factor: 6.384

3.  Genetic variants in ELOVL2 and HSD17B12 predict melanoma-specific survival.

Authors:  Wei Dai; Hongliang Liu; Xinyuan Xu; Jie Ge; Sheng Luo; Dakai Zhu; Christopher I Amos; Shenying Fang; Jeffrey E Lee; Xin Li; Hongmei Nan; Chunying Li; Qingyi Wei
Journal:  Int J Cancer       Date:  2019-02-20       Impact factor: 7.396

4.  Acid-sensing ion channel 1a mediates acid-induced inhibition of matrix metabolism of rat articular chondrocytes via the MAPK signaling pathway.

Authors:  Cheng Sun; Shimin Wang; Wei Hu
Journal:  Mol Cell Biochem       Date:  2017-10-31       Impact factor: 3.396

Review 5.  Metabolic strategies of melanoma cells: Mechanisms, interactions with the tumor microenvironment, and therapeutic implications.

Authors:  Grant M Fischer; Y N Vashisht Gopal; Jennifer L McQuade; Weiyi Peng; Ralph J DeBerardinis; Michael A Davies
Journal:  Pigment Cell Melanoma Res       Date:  2017-11-02       Impact factor: 4.693

6.  Genetic variants in glutamine metabolic pathway genes predict cutaneous melanoma-specific survival.

Authors:  Ka Chen; Hongliang Liu; Zhensheng Liu; Wendy Bloomer; Christopher I Amos; Jeffrey E Lee; Xin Li; Hongmei Nan; Qingyi Wei
Journal:  Mol Carcinog       Date:  2019-08-22       Impact factor: 4.784

Review 7.  Targeting metabolic reprogramming in KRAS-driven cancers.

Authors:  Kenji Kawada; Kosuke Toda; Yoshiharu Sakai
Journal:  Int J Clin Oncol       Date:  2017-06-24       Impact factor: 3.402

8.  MicroRNA-211 Loss Promotes Metabolic Vulnerability and BRAF Inhibitor Sensitivity in Melanoma.

Authors:  Anupama Sahoo; Sanjaya K Sahoo; Piyush Joshi; Bongyong Lee; Ranjan J Perera
Journal:  J Invest Dermatol       Date:  2018-08-01       Impact factor: 8.551

9.  A Fatty Acid Oxidation-dependent Metabolic Shift Regulates the Adaptation of BRAF-mutated Melanoma to MAPK Inhibitors.

Authors:  Mitchell P Levesque; Werner J Kovacs; Andrea Aloia; Daniela Müllhaupt; Christophe D Chabbert; Tanja Eberhart; Stefanie Flückiger-Mangual; Ana Vukolic; Ossia Eichhoff; Anja Irmisch; Leila T Alexander; Ernesto Scibona; Dennie T Frederick; Benchun Miao; Tian Tian; Chaoran Cheng; Lawrence N Kwong; Zhi Wei; Ryan J Sullivan; Genevieve M Boland; Meenhard Herlyn; Keith T Flaherty; Nicola Zamboni; Reinhard Dummer; Gao Zhang; Wilhelm Krek
Journal:  Clin Cancer Res       Date:  2019-08-02       Impact factor: 12.531

10.  Oxidative Phosphorylation Promotes Primary Melanoma Invasion.

Authors:  Amel Salhi; Alexander C Jordan; Irineu I Bochaca; Allison Izsak; Farbod Darvishian; Yariv Houvras; Keith M Giles; Iman Osman
Journal:  Am J Pathol       Date:  2020-03-03       Impact factor: 4.307

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