Importance of glycolysis and oxidative phosphorylation in advanced melanoma
- Jonhan Ho†1,
- Michelle Barbi de Moura†2,
- Yan Lin3,
- Garret Vincent4,
- Stephen Thorne5,
- Lyn M Duncan6,
- Lin Hui-Min3,
- John M Kirkwood4,
- Dorothea Becker7,
- Bennett Van Houten†2 and
- Stergios J Moschos4, 8Email author
© Ho et al.; licensee BioMed Central Ltd. 2012
Received: 5 March 2012
Accepted: 1 October 2012
Published: 9 October 2012
Serum lactate dehydrogenase (LDH) is a prognostic factor for patients with stage IV melanoma. To gain insights into the biology underlying this prognostic factor, we analyzed total serum LDH, serum LDH isoenzymes, and serum lactate in up to 49 patients with metastatic melanoma. Our data demonstrate that high serum LDH is associated with a significant increase in LDH isoenzymes 3 and 4, and a decrease in LDH isoenzymes 1 and 2. Since LDH isoenzymes play a role in both glycolysis and oxidative phosphorylation (OXPHOS), we subsequently determined using tissue microarray (TMA) analysis that the levels of proteins associated with mitochondrial function, lactate metabolism, and regulators of glycolysis were all elevated in advanced melanomas compared with nevic melanocytes. To investigate whether in advanced melanoma, the glycolysis and OXPHOS pathways might be linked, we determined expression of the monocarboxylate transporters (MCT) 1 and 4. Analysis of a nevus-to-melanoma progression TMA revealed that MCT4, and to a lesser extend MCT1, were elevated with progression to advanced melanoma. Further analysis of human melanoma specimens using the Seahorse XF24 extracellular flux analyzer indicated that metastatic melanoma tumors derived a large fraction of energy from OXPHOS. Taken together, these findings suggest that in stage IV melanomas with normal serum LDH, glycolysis and OXPHOS may provide metabolic symbiosis within the same tumor, whereas in stage IV melanomas with high serum LDH glycolysis is the principle source of energy.
KeywordsMelanoma Lactate dehydrogenase Glycolysis Mitochondria Oxidative phosphorylation Monocarboxylate transporters
It is now widely accepted that metabolic changes are one of the hallmarks of cancer . The widespread use of Positron Emission Tomography (PET) imaging with 2-deoxyglucose (2-DG) uptake in several solid tumors supports the Warburg hypothesis, which posits that aerobic glycolysis is a major source of energy in malignant cells . However, more recently, OXPHOS has been shown to also play a significant role in cancer metabolism [3–5]. Previous studies have documented that in melanoma, non-glycolytic pathways are important [6, 7] and that oxygen consumption rate, a surrogate marker for mitochondrial respiratory chain activity, is one of the highest in human melanoma xenografts when compared with other tumor xenografts .
We recently showed by way of bioenergetics analysis that compared with melanocytes, metastatic melanoma cells propagated in vitro have elevated levels of OXPHOS, in addition to glycolysis . Within the three-dimensional tumor where blood supply, and therefore oxygenation, can be variable, it has been proposed that its center, which is less oxygenated, is predominantly dependent on glycolysis, whereas the more vascularized tumor periphery is more dependent on OXPHOS. However these two spatially distinct populations can be metabolically linked such that lactate from the glycolytic portion of the tumor helps fuel ATP production in the vascularized region of the tumor through OXPHOS in a process termed metabolic symbiosis [9, 10]. However, it is presently not known whether metastatic melanomas utilize these two crucial metabolic pathways in concert or sequentially.
Lactate dehydrogenase (LDH) has a central function in cellular metabolism and is comprised of five isoforms (LDH1-5). Each isoform is either a homotetramer (LDH1 and LDH5) or heterotetramer (LDH2, LDH3, and LDH4) of subunits encoded by the LDHA and LDHB gene (Additional file 1). Depending upon the LDH isoform and the concentration of pyruvate and lactate, the enzyme can interconvert these two compounds. More specifically, while LDH1 and LDH2 isoforms play a major role in the production of pyruvate from lactate, LDH4 and LDH5 are primarily involved in the production of lactate from pyruvate (17, 18). In the case of metastatic melanoma, it has been known for many years that approximately 30-40% of patients enrolled in randomized phase III clinical trials have high serum LDH, which correlates with poor prognosis . Although to date, few randomized phase III melanoma trials have shown clinical benefit, post-hoc analysis of some trials, which overall were negative, did reveal statistically significant benefits in favor of the investigational arm for melanoma patients with normal versus high serum LDH [12–14]. The SYMMETRY study, a randomized phase III trial that determined efficacy of the small-molecule inhibitor Elesclomol, administered alone or in combination with paclitaxel, provided evidence that while the combination of Elesclomol with paclitaxel led to significant progression-free survival (PFS) in patients with normal serum LDH, there was a trend towards worse overall survival (OS) in patients with high serum LDH . We  and others  have shown that Elesclomol suppresses OXPHOS in melanoma cells in vitro, and that melanoma cells without mitochondrial DNA (rho zero cells) are more resistant to low-to-moderate doses of Elesclomol. These findings, in addition to the critical role of LDH in the interconversion of lactate and pyruvate in the production of ATP through glycolysis or OXPHOS, prompted us to hypothesize that differences in serum LDH among patients with metastatic melanoma reflect differential dependence upon these bioenergetic pathways.
In view of these observations we sought to determine whether: 1) the LDH isoform expression profile and levels of lactate in serum obtained from up to 49 patients with metastatic melanoma would correlate with disease progression and OS; and 2) whether melanoma development and progression might be linked with key enzymes in glycolysis, OXPHOS, and lactate transport. Our data presented herein demonstrate that patients with advanced metastatic melanoma and high serum LDH have low levels of LDH1 and LDH2, but elevated levels of LDH3 and 4, suggesting that glycolysis is the primary metabolic pathway utilized by the tumor cells in these patients. In contrast, in patients with advanced melanoma and normal serum LDH, OXPHOS has an important role in addition to glycolysis for energy production.Furthermore, our data demonstrate that several key enzymes associated with high OXPHOS are substantially elevated in primary and metastatic melanomas compared with nevic melanocytes. Together these findings support a model that both glycolysis and OXPHOS play a significant role in developing metabolic symbiosis in metastatic melanoma progression.
Materials and methods
Patient sera, melanoma cell lines, and tumor cell suspensions
Sera from patients with stage IV metastatic melanoma were obtained in compliance with University of Pittsburgh Cancer Institute (UPCI) protocols 96–099 and 11–108. Overall survival (OS) was defined as the interval from collection of serum LDH, LDH isoenzyme, and serum lactate to death from any cause. Human epidermal melanocytes (HEMs) (Cell Applications, San Diego, CA) were propagated in melanocyte growth medium (Cell Applications). Human melanoma cell lines (WM983-A, WM983-B, WM1158, WM852, Lu1205, C32) were purchased from the Coriell Institute for Medical Research (Camden, NJ) or the American Type Culture Collection (Manassas, VA). The human melanoma cell line MV3 was obtained from Dr. S. Ferrone (University of Pittsburgh Medical Center), and the human melanoma cell line M233 was provided by Dr. A. Ribas (UCLA).The melanoma cell line TPF10-741, derived from a subcutaneous metastasis of a patient who developed secondary resistance to the BRAF inhibitor Vemurafenib, was established in compliance with UPCI protocol 96–099, as we have previously reported . Single-cell suspensions from metastatic melanomas were also obtained in compliance with UPCI protocol 96–099.
Antibodies used in the study were: LDHA (rabbit anti-human polyclonal, Abcam, Cambridge, MA); LDHB (mouse anti-human monoclonal, Sigma-Aldrich, St. Louis, MO); MCT1 and MCT4 (rabbit anti-human polyclonal, Chemicon, Temecula, CA); ATP synthase, H+ transporting, mitochondrial F1 complex, alpha subunit 1 (ATP5A1) (mouse anti-human monoclonal, Invitrogen, Carlsbad, CA); hypoxia-inducible factor 1 alpha (HIF-1α) (mouse anti-human monoclonal, BD Biosciences, San Diego, CA); and α-tubulin (rabbit anti-human monoclonal, Cell Signaling, Danvers MA).
Immunoblot and TMA analysis
Melanoma cell lysates were analyzed by Western blots as previously described  to determine the performance of antibodies used as well as the relative expression levels of the corresponding proteins in melanocytes and various melanoma cell lines (Additional file 2: Figure S2). The previously described nevus>melanoma progression TMA  was probed with antibody and scored as previously described . Briefly, using a 20X objective, the bright-field image of every antibody-probed tissue core was scored on a scale of 0 to 3+ (0 = no signal, 1+ = weak signal, 2+ = moderate signal, 3+ = strong signal). An H-score was calculated, which combined the intensity of the antibody staining-signal with the percentage of cells that exhibited an antibody signal at the different staining intensities . H-scores were determined exclusively for melanoma cells.
Measurement of total serum LDH, LDH isoenzymes, and lactate
All assays pertaining to total serum LDH, LDH isoenzymes, and lactate were performed by a clinical laboratory improvement and amendment (CLIA)-certified laboratory. This implies that, as per CLIA requirements, test results are provided with reference ranges of upper and lower limits of normal. More specifically, total serum LDH was measured as routine chemistry per manufacturer’s recommendations (Beckman Coulter, Inc., USA). Total serum LDH levels are presented as the ratio of each LDH measurement to the serum LDH value that is listed as the upper limit of normal (ULN). LDH isoenzymes were identified and quantitated by agarose gel electrophoresis on the SPIFE 2000/3000 Systems (Helena Laboratories, Beaumont, TX) . Each of the five LDH isoenzymes is presented as percentage activity to total serum LDH activity. For lactate measurements, samples were maintained on ice at all times. Using lactate reagent (lactate oxidase, peroxidase, dichlorobenzenesulfonic acid, 4-aminoantipyrine), serum lactate was determined using the SYNCHRON Systems (Beckman Coulter, Inc., USA).
The metabolic profile of single-cell suspensions, prepared from ‘fresh’ metastatic melanoma tissue specimens, was determined using a Seahorse XF24 Extracellular Flux Analyzer (Seahorse Biosciences, Billerica, MA) and was performed on tissue specimens within six hours of surgery to remove metastatic melanoma tumors in compliance with UPCI protocol 96–099. The Seahorse Flux Analyzer provides real-time measurements of oxygen consumption rate (OCR), a measure of OXPHOS, and extracellular acidification rate (ECAR), a measure of glycolysis [5, 22]. The single-cell suspensions, derived from four subcutaneous BRAFV600E-positive metastatic lesions from four different patients, were treated for 2 hr with collagenase IV (Worthington, Lakewood NJ). The melanoma cells were then attached for 30 minutes to tissue culture plates using Cell-Tak Cell and Tissue Adhesive (BD Biosciences). The cells were immediately analyzed in the Seahorse XF24 Extracellular Flux Analyzer under basal conditions (no treatment), and following injection of four pharmacologic inhibitors: Oligomycin (O) (1 μM), an inhibitor of ATP synthase, which allows a measurement of ATP-coupled oxygen consumption through OXPHOS; carbonyl cyanide 4-trifluoromethoxy-phenylhydrazone (FCCP) (300 nM), an uncoupling agent that allows maximum electron transport, and therefore a measure of maximum OXPHOS respiration capacity; 2-DG (100 mM), an inhibitor of glycolysis; and rotenone (R) (1 μM), an inhibitor of complex I of the mitochondrial respiratory chain that allows a precise measurement of mitochondrial uncoupling. All chemicals were obtained from Sigma-Aldrich.
The R package for statistical computing software (version 2.11.1, http://www.R-project.org) was used for all statistical analyses. Pearson correlation coefficients (rho, ρ) were used to quantify the correlation between the percentage of each LDH isoenzymes/lactate levels and the log-transformed serum LDH levels. Fisher’s exact tests were used to determine possible correlations between LDH isoenzymes/lactate levels and serum LDH levels categorized as normal versus high. Log-rank tests were also performed to compare the OS between patients with high versus low total serum LDH, serum LDH isoenzymes, and serum lactate. Statistical analysis of the metabolism data was performed by one-way analysis of variance (ANOVA) followed by the Dunnett’s test.
Kruskal-Wallis (KW) tests were used to compare the level of expression of each molecule in the different stages of the nevus>melanoma progression TMA. Wilcoxon Rank-Sum tests were used to compare the expression level between two groups. Poisson regression models were fit to the expression level data of each molecule, and the likelihood-ratio test (LRT) was used to test the significance of the trend in the expression of each molecule across different stages of the nevus>melanoma progression TMA. Spearman’s correlation coefficients were calculated to quantify the association between the various molecules. The Bonferroni correction was used to account for multiple comparisons.
Analysis of serum LDH isoenzymes in metastatic melanomas
Expression of LDHA and HIF-1Î± in the nevus>melanoma progression pathway
Since it has been reported that HIF-1α increases LDHA expression , we also determined HIF-1α expression in the nevus>melanoma TMA. In agreement with the data of a previous report , HIF-1α was expressed in primary melanoma tissues (Additional file 3). Figure 2, panel b, demonstrates that HIF-1α expression increased with progression from nevi to advanced melanoma —approximately 4-fold increase in mean HIF-1α expression between thin primary and metastatic melanomas, and especially lymph node metastases. However, overall expression was low and somewhat heterogeneous, especially in metastatic melanoma tissue cores (H-score < 100; Poisson model LRT p < 0.001). The significant differences in HIF-1α expression between nevi and melanomas were consistent with the data of an immunoblot analysis of cell lysates obtained from cultured HEMs, the radial growth phase melanoma cell line WM983-A, and various metastatic melanoma cell lines. In particular, HIF-1α was nearly absent in HEMs, present but at very low levels in the vertical growth phase WM983-A melanoma cell line, and various metastatic melanoma cell lines including WM983-B, which along with the WM-983-A were obtained from the same patient (Additional file 2).
Involvement of OXPHOS in melanoma progression
Figure 3B documents that the mean OCR/ECAR ratio of melanoma cells derived from the four tumor biopsies was not significantly different from the OCR/ECAR ratios of six melanoma cell lines propagated in culture. However, the OCR/ECAR ratio of both freshly isolated melanoma tumor cells and melanoma cell lines was higher than the mean OCR/ECAR ratio of HEMs. Together these data suggest that in tumors representing metastatic melanomas a substantial proportion of energy is derived from OXPHOS while HEMs propagated in vitro have lower OXPHOS and higher glycolysis.
Role of MCTs, indirect regulators of metabolism, in melanoma
To explore a possible link between proteins involved in glycolysis (LDHA, HIF-1α), OXPHOS and mitochondrial function (ATP5A1, LDHB), and lactate metabolism and transport (LDHA, LDHB, MCT1, MCT4), we used Pearson correlation analysis between each permutation pair of the datasets of the respective proteins. The results of this analysis (Additional file 6) revealed a moderate (0.3<ρ≤0.42), albeit significant link (p<0.001) between HIF-1α and LDHA, and between HIF-1α and MCT4, but not between ATP5A1 and HIF-1α, or MCT1 and MCT4. The analysis also revealed significant associations between OXPHOS (ATP5A1 and LDHB, MCT1 and LDHB), glycolysis (MCT4 and LDHB), and OXPHOS and glycolysis (LDHA and LDHB).
For more than two decades, 18F-2-DG has been used for diagnostic purposes as a contrast agent for melanoma, and high serum LDH as a prognostic factor in metastatic melanoma . However, not much is known regarding the importance of crucial metabolic pathways in melanoma development and progression. With this present study we have obtained the following novel insights. First, we demonstrate that patients who have high serum LDH levels have elevated levels of LDH isoenzymes, which drive pyruvate conversion to lactate. Second, enzymes associated with glycolysis, as well as OXPHOS, are expressed at higher levels in primary and metastatic melanomas than in nevi, which suggests a correlate between progression to advanced melanoma and increased metabolic flexibility. Third, this is the first study to directly measure the relative contribution of OXPHOS and glycolysis in melanoma cells directly from patients, which showed that OXPHOS plays an important role in the generation of ATP in melanoma cells. Finally, the data presented herein document that key regulators of lactate transport and pH are differentially expressed in melanomas compared with nevi.
Our finding that patients with advanced melanoma have elevated levels of serum LDH3 and LDH4, but reduced levels of serum LDH1 and LDH2, has also been reported in the case of breast cancer and other solid malignancies [30, 31]. However, it is not yet completely understood what accounts for this LDH isoenzyme pattern. We postulated that changes in the expression levels of individual LDHA and B isoenzymes account for changes in the LDH isoenzyme pattern. Data from our nevus>melanoma progression TMA analysis, suggest that metabolic changes in melanoma, but not in adjacent stromal, cells might induce this differential serum LDH isoenzyme profile. This conclusion is based on the finding that LDHA was elevated in primary melanomas compared with nevi, and was even more elevated in thick (Breslow thickness of invasion > 2 mm) primary melanomas. In addition, the significant correlation between LDHA and HIF-1α expression we detected in our TMA analysis is in agreement with previous studies, which showed that HIF-1α increases glycolytic metabolism, including the upregulation of LDHA . The absence of increased LDH5 in patients with high serum LDH can be explained by the significant positive correlation between LDHA and LDHB expression in melanomas (Additional file 6) and that more LDHB than LDHA proteins are upregulated in advanced melanomas (Figures 2 and 4). The lower expression of LDH5 in metastatic compared with thick primary melanoma can be explained by intra-tumor heterogeneity in advanced melanoma cases in terms of reliance of melanoma cells to glycolysis versus OXPHOS. In other words, several tumor cores that comprised this TMA may have been obtained from specific regions of the tumor that were metabolically dissimilar. In fact, one third of the tumor cores were derived from lymph node metastatic melanoma. Unfortunately, the lack of clinicopathologic annotation makes it impossible to address the significant variability in LDHA expression seen in metastatic melanoma.
We  and others  have previously found that in the case of melanoma, OXPHOS plays an important role in the cells’ metabolism in addition to glycolysis in vitro. Data from our study including: 1) the bioenergetics analysis in melanoma cells derived directly from patients; 2) the immunohistochemical analysis of ATP5A1, a key regulatory component of the mitochondrial respiratory chain; and 3) high expression of LDHB, a key enzyme that converts lactate to pyruvate, all support the importance of OXPHOS in melanoma. These data, which are in agreement with two previous reports in melanoma [8, 33] do not necessarily refute the Warburg hypothesis that cancer cells rely heavily upon glycolysis for energy production . Instead, our data strongly suggest that the metabolically flexibility of melanoma cells can provide selective advantage for tumor cell survival in diverse environments with low oxygen tension, scarce carbon source availability, and low pH .
In melanoma, monocarboxylate transporters should be added to the increasing complexity of cancer metabolism resources/pathways, which include glycolysis, reductive carboxylation of glutamine [6, 34], and OXPHOS . MCT1 and MCT4 play an important role in the transport of carbon sources among cancer cells in relation to environmental cues, such as pH and oxygen tension. The observed significant upregulation of MCT4, the principal transporter for lactate efflux  in melanomas compared with nevi may reflect conditioning of melanoma cells to high rates of lactate production that must be exported out of cells for survival. Our data point to a positive correlation between the immunohistochemical expression of MCT4 and HIF-1α and MCT4 and LDHA, which is in agreement with previous reports that MCT4 is a downstream effector of HIF-1α . Together these data suggest that MCT4 may be expressed by the fraction of melanoma cells in the tumor that predominantly utilizes glycolysis for energy production and may be a critical therapeutic target.
Finally, we believe that the findings of our study may be of relevance with respect to the design of future melanoma trials. First, the association of low LDH1 isoenzyme levels, in addition to high LDH4 levels with OS in patients with high serum LDH implies that changes in the reliance of both OXPHOS and glycolysis, but not only glycolysis alone, are clinically important. Therefore, agents that attempt to revert the reliance of cancer cells more on OXPHOS and less on glycolysis may be clinically effective . Second, since serum LDH levels define two different metastatic melanoma subgroups, one with normal serum LDH levels that is primarily dependent upon OXPHOS and the other with high serum LDH that is predominantly comprised of cells that are dependent upon OXPHOS, therapies that only disrupt OXPHOS may only have an effect in patients with normal serum LDH . One such therapy is Elesclomol that we  and others  have shown to suppress OXPHOS by disrupting components of the mitochondrial respiratory chain that was previously shown to have an opposite clinical effect in patients with metastatic melanoma and normal versus high serum LDH . On the other hand, patients with high serum LDH bear melanomas with hypoxic areas that produce high HIF-1α levels which upregulate components of the glycolytic pathway in addition to components of the angiogenesis pathway, such as the vascular endothelial growth factor. These tumors are expected to be more prone to glycolysis inhibitors, yet to be identified, as well as to angiogenesis inhibitors, such as bevacizumab, as previously described . The findings of our study also suggest that MCT4, which transports lactate from glycolytic cells, has an important, and most likely, equally important role alongside MCT1. However, targeting MCT4 may clinically be more effective when melanomas become MCT1 independent, or when targeted in combination with MCT1 to prevent resistance to treatment .
We would like to thank D. Bachorski for collecting sera for LDH and lactate studies, M. Acquafondata for antibody probing of the TMA. This work was supported by a Career Development Award to S. J. M. from the NIH P50CA121973 SPORE in Skin Cancer, and a Pennsylvania Department of Health PA CURE award to B. V. H.
- Hanahan D, Weinberg RA: Hallmarks of cancer: the next generation. Cell. 2011, 144: 646-674. 10.1016/j.cell.2011.02.013View ArticlePubMedGoogle Scholar
- Warburg O: On the origin of cancer cells. Science. 1956, 123: 309-314. 10.1126/science.123.3191.309View ArticlePubMedGoogle Scholar
- Elia U, Flescher E: Combined Chemotherapy or Biotherapy with Jasmonates: Targeting Energy Metabolism for Cancer Treatment. Curr Pharm Biotechnol. 2012, Jun 1. [Epub ahead of print].Google Scholar
- Rodríguez-Enríquez S, Gallardo-Pérez JC, Marín-Hernández A, Moreno-Sánchez R: The Warburg Hypothesis and the ATP Supply In Cancer Cells Is Oxidative Phosphorylation impaired in malignant neoplasias?. Curr Pharm Biotechnol. 2012, Jun 1. [Epub ahead of print].Google Scholar
- Barbi de Moura M, Vincent G, Fayewicz SL, Bateman N, Hood BL, Sun M, Suhan J, Duensing S, Yin Y, Sander C: Mitochondrial Respiration - an Important Therapeutic Target in Melanoma. PLoS One. 2012, 7 (8): e40690- 10.1371/journal.pone.0040690PubMed CentralView ArticlePubMedGoogle Scholar
- Scott DA, Richardson AD, Filipp FV, Knutzen CA, Chiang GG, Ronai ZA, Osterman AL, Smith JW: Comparative metabolic flux profiling of melanoma cell lines: beyond the Warburg effect. J Biol Chem. 2011, 286: 42626-42634. 10.1074/jbc.M111.282046PubMed CentralView ArticlePubMedGoogle Scholar
- Qin JZ, Xin H, Nickoloff BJ: Targeting glutamine metabolism sensitizes melanoma cells to TRAIL-induced death. Biochem Biophys Res Commun. 2010, 398: 146-152. 10.1016/j.bbrc.2010.06.057View ArticlePubMedGoogle Scholar
- Kallinowski F, Schlenger KH, Runkel S, Kloes M, Stohrer M, Okunieff P, Vaupel P: Blood flow, metabolism, cellular microenvironment, and growth rate of human tumor xenografts. Cancer Res. 1989, 49 (14): 3759-3764.PubMedGoogle Scholar
- Nakajima EC, Van Houten B: Metabolic symbiosis in cancer: Refocusing the Warburg lens. Mol Carcinog. 2012, 10.1002/mc.21863. Jan 6: [Epub ahead of print].Google Scholar
- Sonveaux P, Vegran F, Schroeder T, Wergin MC, Verrax J, Rabbani ZN, De Saedeleer CJ, Kennedy KM, Diepart C, Jordan BF: Targeting lactate-fueled respiration selectively kills hypoxic tumor cells in mice. J Clin Invest. 2008, 118: 3930-3942.PubMed CentralPubMedGoogle Scholar
- Manola J, Atkins M, Ibrahim J, Kirkwood J: Prognostic factors in metastatic melanoma: a pooled analysis of Eastern Cooperative Oncology Group trials. J Clin Oncol. 2000, 18: 3782-3793.PubMedGoogle Scholar
- Agarwala SS, Glaspy J, O'Day SJ, Mitchell M, Gutheil J, Whitman E, Gonzalez R, Hersh E, Feun L, Belt R: Results from a randomized phase III study comparing combined treatment with histamine dihydrochloride plus interleukin-2 versus interleukin-2 alone in patients with metastatic melanoma. J Clin Oncol. 2002, 20: 125-133. 10.1200/JCO.20.1.125View ArticlePubMedGoogle Scholar
- Bedikian AY, Millward M, Pehamberger H, Conry R, Gore M, Trefzer U, Pavlick AC, DeConti R, Hersh EM, Hersey P: Bcl-2 antisense (oblimersen sodium) plus dacarbazine in patients with advanced melanoma: the Oblimersen Melanoma Study Group. J Clin Oncol. 2006, 24: 4738-4745. 10.1200/JCO.2006.06.0483View ArticlePubMedGoogle Scholar
- Kim KB, Sosman JA, Fruehauf JP, Linette GP, Markovic SN, McDermott DF, Weber JS, Nguyen H, Cheverton P, Chen D: BEAM: a randomized phase ii study evaluating the activity of bevacizumab in combination with carboplatin plus paclitaxel in patients with previously untreated advanced melanoma. J Clin Oncol. 2012, 30: 34-41. 10.1200/JCO.2011.34.6270View ArticlePubMedGoogle Scholar
- Hauschild A, Eggermont AM, Jacobson E, O'Day SJ: Phase III, randomized, double-blind study of elesclomol and paclitaxel versus paclitaxel alone in stage IV metastatic melanoma (LBA9012) [abstract]. J Clin Oncol. 2009, 27: 18s-10.1200/JCO.2009.22.4626. 10.1200/JCO.2009.22.4626View ArticleGoogle Scholar
- Blackman RK, Cheung-Ong K, Gebbia M, Proia DA, He S, Kepros J, Jonneaux A, Marchetti P, Kluza J, Rao PE: Mitochondrial electron transport is the cellular target of the oncology drug elesclomol. PLoS One. 2012, 7: e29798- 10.1371/journal.pone.0029798PubMed CentralView ArticlePubMedGoogle Scholar
- Moschos SJ, Dodd NR, Jukic DM, Fayewicz SL, Wang X, Becker D: Suppressing the high-level expression and function of ATM in advanced-stage melanomas does not sensitize the cells to ionizing radiation. Cancer Biol Ther. 2009, 8: 1815-1825. 10.4161/cbt.8.19.9435View ArticlePubMedGoogle Scholar
- Nazarian RM, Prieto VG, Elder DE, Duncan LM: Melanoma biomarker expression in melanocytic tumor progression: a tissue microarray study. J Cutan Pathol. 2010, 37 (Suppl 1): 41-47.View ArticlePubMedGoogle Scholar
- Moschos SJ, Jukic DM, Athanassiou C, Bhargava R, Dacic S, Wang X, Kuan SF, Fayewicz SL, Galambos C, Acquafondata M: Expression analysis of Ubc9, the single small ubiquitin-like modifier (SUMO) E2 conjugating enzyme, in normal and malignant tissues. Hum Pathol. 2010, 41: 1286-1298. 10.1016/j.humpath.2010.02.007View ArticlePubMedGoogle Scholar
- Detre S, Saclani Jotti G, Dowsett M: A "quickscore" method for immunohistochemical semiquantitation: validation for oestrogen receptor in breast carcinomas. J Clin Pathol. 1995, 48: 876-878. 10.1136/jcp.48.9.876PubMed CentralView ArticlePubMedGoogle Scholar
- Hsu MY, Kohler MM, Barolia L, Bondar RJ: Separation of five isoenzymes of serum lactate dehydrogenase by discontinuous gradient elution from a miniature ion-exchange column. Clin Chem. 1979, 25: 1453-1458.PubMedGoogle Scholar
- Qian W, Van Houten B: Alterations in bioenergetics due to changes in mitochondrial DNA copy number. Methods. 2010, 51: 452-457. 10.1016/j.ymeth.2010.03.006View ArticlePubMedGoogle Scholar
- Porporato PE, Dhup S, Dadhich RK, Copetti T, Sonveaux P: Anticancer targets in the glycolytic metabolism of tumors: a comprehensive review. Front Pharmacol. 2011, 2: 49-PubMed CentralView ArticlePubMedGoogle Scholar
- Semenza GL, Jiang BH, Leung SW, Passantino R, Concordet JP, Maire P, Giallongo A: Hypoxia response elements in the aldolase A, enolase 1, and lactate dehydrogenase A gene promoters contain essential binding sites for hypoxia-inducible factor 1. J Biol Chem. 1996, 271: 32529-32537. 10.1074/jbc.271.51.32529View ArticlePubMedGoogle Scholar
- Valencak J, Kittler H, Schmid K, Schreiber M, Raderer M, Gonzalez-Inchaurraga M, Birner P, Pehamberger H: Prognostic relevance of hypoxia inducible factor-1alpha expression in patients with melanoma. Clin Exp Dermatol. 2009, 34: e962-e964. 10.1111/j.1365-2230.2009.03706.xView ArticlePubMedGoogle Scholar
- Yusenko MV, Ruppert T, Kovacs G: Analysis of differentially expressed mitochondrial proteins in chromophobe renal cell carcinomas and renal oncocytomas by 2-D gel electrophoresis. Int J Biol Sci. 2010, 6: 213-224.PubMed CentralView ArticlePubMedGoogle Scholar
- Neri D, Supuran CT: Interfering with pH regulation in tumours as a therapeutic strategy. Nature Rev Drug Discov. 2011, 10: 767-777. 10.1038/nrd3554.View ArticleGoogle Scholar
- Wahl ML, Owen JA, Burd R, Herlands RA, Nogami SS, Rodeck U, Berd D, Leeper DB, Owen CS: Regulation of intracellular pH in human melanoma: potential therapeutic implications. Mol Cancer Ther. 2002, 1: 617-628.PubMedGoogle Scholar
- Finck SJ, Giuliano AE, Morton DL: LDH and melanoma. Cancer. 1983, 51: 840-843. 10.1002/1097-0142(19830301)51:5<840::AID-CNCR2820510516>3.0.CO;2-7View ArticlePubMedGoogle Scholar
- Khurana P, Tyagi N, Salahuddin A, Tyagi SP: Serum lactate dehydrogenase isoenzymes in breast tumours. Indian J Pathol Microbiol. 1990, 33: 355-359.PubMedGoogle Scholar
- Giannoulaki EE, Kalpaxis DL, Tentas C, Fessas P: Lactate dehydrogenase isoenzyme pattern in sera of patients with malignant diseases. Clin Chem. 1989, 35: 396-399.PubMedGoogle Scholar
- Xu K, Mao X, Mehta M, Cui J, Zhang C, Xu Y: A Comparative Study of Gene-Expression Data of Basal Cell Carcinoma and Melanoma Reveals New Insights about the Two Cancers. PLoS One. 2012, 7: e30750- 10.1371/journal.pone.0030750PubMed CentralView ArticlePubMedGoogle Scholar
- Berridge MV, Tan AS: Effects of mitochondrial gene deletion on tumorigenicity of metastatic melanoma: reassessing the Warburg effect. Rejuvenation Res. 2010, 13 (2–3): 139-141.View ArticlePubMedGoogle Scholar
- Filipp FV, Scott DA, Ronai ZA, Osterman AL, Smith JW: Reverse TCA cycle flux through isocitrate dehydrogenases 1 and 2 is required for lipogenesis in hypoxic melanoma cells. Pigment Cell Melanoma Res. 2012, 25: 375-383. 10.1111/j.1755-148X.2012.00989.xPubMed CentralView ArticlePubMedGoogle Scholar
- Dimmer KS, Friedrich B, Lang F, Deitmer JW, Broer S: The low-affinity monocarboxylate transporter MCT4 is adapted to the export of lactate in highly glycolytic cells. Biochem J. 2000, 350 (Pt 1): 219-227.PubMed CentralView ArticlePubMedGoogle Scholar
- Ullah MS, Davies AJ, Halestrap AP: The plasma membrane lactate transporter MCT4, but not MCT1, is up-regulated by hypoxia through a HIF-1alpha-dependent mechanism. J Biol Chem. 2006, 281: 9030-9037.View ArticlePubMedGoogle Scholar
- Fukuda R, Zhang H, Kim JW, Shimoda L, Dang CV, Semenza GL: HIF-1 regulates cytochrome oxidase subunits to optimize efficiency of respiration in hypoxic cells. Cell. 2007, 129: 111-122. 10.1016/j.cell.2007.01.047View ArticlePubMedGoogle Scholar
- de Moura MB, dos Santos LS, Van Houten B: Mitochondrial dysfunction in neurodegenerative diseases and cancer. Environ Mol Mutagen. 2010, 51: 391-405.PubMedGoogle Scholar
- Mazure NM, Brahimi-Horn MC, Pouyssegur J: Hypoxic mitochondria: accomplices in resistance. Bull Cancer. 2011, 98: 40-46.PubMedGoogle Scholar
- Hendifar AE, Chawla SP, Quon D, Chua VS, Fernandez L, Nagre S, Okunnu M, Chmielowski B, Singh AS, Akmaev S: Phase I study of BPM 31510 in advanced solid tumors: Updated analysis of a novel treatment with promising activity [abstr 3015]. J Clin Oncol. 2012, 27:Google Scholar
- Le Floch R, Chiche J, Marchiq I, Naiken T, Ilk K, Murray CM, Critchlow SE, Roux D, Simon MP, Pouyssegur J: CD147 subunit of lactate/H+ symporters MCT1 and hypoxia-inducible MCT4 is critical for energetics and growth of glycolytic tumors. Proc Natl Acad Sci USA. 2011, 108: 16663-16668. 10.1073/pnas.1106123108PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.