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Lactate Dehydrogenase A is a potential prognostic marker in clear cell renal cell carcinoma
- 作者:Hala Girgis (5) (6)
Olena Masui (7) Nicole MA White (5) (6) (8) Andreas Scorilas (9) Fabio Rotondo (5) (6) Annetta Seivwright (5) (6) Manal Gabril (10) Emily R Filter (10) Andrew HA Girgis (5) (6) Georg A Bjarnason (11) Michael AS Jewett (12) Andrew Evans (13) (8) Sahar Al-Haddad (5) (6) (8) KW Michael Siu (7) George M Yousef (5) (6) (8)
5. The Keenan Research Center in the Li Ka Shing Knowledge Institute ; St. Michael鈥檚 Hospital ; Toronto ; M5B 1聽W8 ; Canada 6. Department of Laboratory Medicine ; St. Michael鈥檚 Hospital ; Toronto ; M5B 1聽W8 ; Canada 7. Department of Chemistry and Centre for Research in Mass Spectrometry ; York University ; 4700 Keele Street ; Toronto ; M3J 1P3 ; Canada 8. Department of Laboratory Medicine and Pathobiology ; University of Toronto ; Toronto ; M5S 1A8 ; Canada 9. Department of Biochemistry and Molecular Biology ; Faculty of Biology ; University of Athens ; 15701 ; Athens ; Greece 10. Department of Pathology ; London Health Sciences Center and Western University ; London ; N6A 5聽W9 ; Canada 11. Division of Medical Oncology and Hematology ; Sunnybrook Odette Cancer Center ; Toronto ; ON M4N 3聽M5 ; Canada 12. Division of Urologic Oncology ; Princess Margaret Hospital ; University Health Network ; Toronto ; ON M5G 2聽M9 ; Canada 13. Department of Laboratory Medicine ; University Health Network ; Toronto ; Canada
- 关键词:Lactate dehydrogenase A ; Prognosis ; Renal cell carcinoma ; Personalized medicine ; Tumor markers ; Proteomics ; Pathology ; Metastasis
- 刊名:Molecular Cancer
- 出版年:2014
- 出版时间:December 2014
- 年:2014
- 卷:13
- 期:1
- 全文大小:460 KB
- 参考文献:1. Simard, EP, Ward, EM, Siegel, R, Jemal, A (2012) Cancers with increasing incidence trends in the United States: 1999 through 2008. CA Cancer J Clin 62: pp. 118-124 CrossRef
2. Siegel, R, Naishadham, D, Jemal, A (2012) Cancer statistics, 2012. CA Cancer J Clin 62: pp. 10-29 CrossRef 3. Cheville, JC, Lohse, CM, Zincke, H, Weaver, AL, Blute, ML (2003) Comparisons of outcome and prognostic features among histologic subtypes of renal cell carcinoma. Am J Surg Pathol 27: pp. 612-624 CrossRef 4. Heng, DY, Xie, W, Regan, MM, Harshman, LC, Bjarnason, GA, Vaishampayan, UN, Mackenzie, M, Wood, L, Donsko, F, Tan, MH, Rha, SY, Agarwal, N, Kollmannsberger, C, Rini, BI, Choueiri, TK (2013) External validation and comparison with other models of the International Metastatic Renal-Cell Carcinoma Database Consortium prognostic model: a population-based study. Lancet Oncol 14: pp. 141-148 CrossRef 5. Heng, DY, Xie, W, Regan, MM, Warren, MA, Golshayan, AR, Sahi, C, Eigl, BJ, Ruether, JD, Cheng, T, North, S, Venner, P, Knox, JJ, Chi, KN, Kollmannsberger, C, McDermott, DF, Oh, WK, Atkins, MB, Bukowski, RM, Rini, BI, Choueiri, TK (2009) Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor-targeted agents: results from a large, multicenter study. J Clin Oncol 27: pp. 5794-5799 CrossRef 6. Pasic, MD, Samaan, S, Yousef, GM (2013) Genomic medicine: new frontiers and new challenges. Clin Chem 59: pp. 158-167 CrossRef 7. White, NM, Yousef, GM (2011) Translating molecular signatures of renal cell carcinoma into clinical practice. J Urol 186: pp. 9-11 CrossRef 8. Faragalla, H, Youssef, YM, Scorilas, A, Khalil, B, White, NM, Mejia-Guerrero, S, Khella, H, Jewett, MA, Evans, A, Lichner, Z, Bjarnason, G, Sugar, L, Attalah, MI, Yousef, GM (2012) The clinical utility of miR-21 as a diagnostic and prognostic marker for renal cell carcinoma. J Mol Diagn 14: pp. 385-392 CrossRef 9. Khella, HW, White, NM, Faragalla, H, Gabril, M, Boazak, M, Dorian, D, Khalil, B, Antonios, H, Bao, TT, Pasic, MD, Honey, RJ, Stewart, R, Pace, KT, Bjarnason, GA, Jewett, MA, Yousef, GM (2012) Exploring the role of miRNAs in renal cell carcinoma progression and metastasis through bioinformatic and experimental analyses. Tumour Biol 33: pp. 131-140 CrossRef 10. Tan, PH, Cheng, L, Rioux-Leclercq, N, Merino, MJ, Netto, G, Reuter, VE, Shen, SS, Grignon, DJ, Montironi, R, Egevad, L, Srigley, JR, Delahunt, B, Moch, H (2013) Renal tumors: diagnostic and prognostic biomarkers. Am J Surg Pathol 37: pp. 1518-1531 CrossRef 11. Zhang, BY, Thompson, RH, Lohse, CM, Dronca, RS, Cheville, JC, Kwon, ED, Leibovich, BC (2013) Carbonic anhydrase IX (CAIX) is not an independent predictor of outcome in patients with clear cell renal cell carcinoma (ccRCC) after long-term follow-up. BJU Int 111: pp. 1046-1053 CrossRef 12. Yun, J, Johnson, JL, Hanigan, CL, Locasale, JW (2012) Interactions between epigenetics and metabolism in cancers. Front Oncol 2: pp. 163 CrossRef 13. Ashrafian, H, O鈥橣laherty, L, Adam, J, Steeples, V, Chung, YL, East, P, Vanharanta, S, Lehtonen, H, Nye, E, Hatipoglu, E, Miranda, M, Howarth, K, Shukla, D, Troy, H, Griffiths, J, Spencer-Dene, B, Yusuf, M, Volpi, E, Maxwell, PH, Stamp, G, Poulsom, R, Pugh, CW, Costa, B, Bardella, C, Di Renzo, MF, Kotlikoff, MI, Launonen, V, Aaltonen, L, El-Bahrawy, M, Tomlinson, I (2010) Expression profiling in progressive stages of fumarate-hydratase deficiency: the contribution of metabolic changes to tumorigenesis. Cancer Res 70: pp. 9153-9165 158/0008-5472.CAN-10-1949" target="_blank" title="It opens in new window">CrossRef 14. Gordan, JD, Thompson, CB, Simon, MC (2007) HIF and c-Myc: sibling rivals for control of cancer cell metabolism and proliferation. Cancer Cell 12: pp. 108-113 CrossRef 15. Seyfried, TN, Shelton, LM (2010) Cancer as a metabolic disease. Nutr Metab (Lond) 7: pp. 7 CrossRef 16. Amann, T, Maegdefrau, U, Hartmann, A, Agaimy, A, Marienhagen, J, Weiss, TS, Stoeltzing, O, Warnecke, C, Scholmerich, J, Oefner, PJ, Kreutz, M, Bosserhoff, AK, Hellerbrand, C (2009) GLUT1 expression is increased in hepatocellular carcinoma and promotes tumorigenesis. Am J Pathol 174: pp. 1544-1552 CrossRef 17. Yao, F, Zhao, T, Zhong, C, Zhu, J, Zhao, H (2013) LDHA is necessary for the tumorigenicity of esophageal squamous cell carcinoma. Tumour Biol 34: pp. 25-31 CrossRef 18. Sheng, SL, Liu, JJ, Dai, YH, Sun, XG, Xiong, XP, Huang, G (2012) Knockdown of lactate dehydrogenase A suppresses tumor growth and metastasis of human hepatocellular carcinoma. FEBS J 279: pp. 3898-3910 CrossRef 19. Le, A, Cooper, CR, Gouw, AM, Dinavahi, R, Maitra, A, Deck, LM, Royer, RE, Vander Jagt, DL, Semenza, GL, Dang, CV (2010) Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progression. Proc Natl Acad Sci U S A 107: pp. 2037-2042 CrossRef 20. Fantin, VR, St-Pierre, J, Leder, P (2006) Attenuation of LDH-A expression uncovers a link between glycolysis, mitochondrial physiology, and tumor maintenance. Cancer Cell 9: pp. 425-434 CrossRef 21. Masui, O, White, NM, DeSouza, LV, Krakovska, O, Matta, A, Metias, S, Khalil, B, Romaschin, AD, Honey, RJ, Stewart, R, Pace, K, Bjarnason, GA, Siu, KW, Yousef, GM (2013) Quantitative proteomic analysis in metastatic renal cell carcinoma reveals a unique set of proteins with potential prognostic significance. Mol Cell Proteomics 12: pp. 132-144 CrossRef 22. White, NM, Newsted, DW, Masui, O, Romaschin, AD, Siu, KW, Yousef, GM (2013) Identification and validation of dysregulated metabolic pathways in metastatic renal cell carcinoma. Tumour Biol 35: pp. 1833-46 CrossRef 23. Fuhrman, SA, Lasky, LC, Limas, C (1982) Prognostic significance of morphologic parameters in renal cell carcinoma. Am J Surg Pathol 6: pp. 655-663 CrossRef 24. Pavlovich, CP, Schmidt, LS (2004) Searching for the hereditary causes of renal-cell carcinoma. Nat Rev Cancer 4: pp. 381-393 CrossRef 25. Singer, K, Kastenberger, M, Gottfried, E, Hammerschmied, CG, Buttner, M, Aigner, M, Seliger, B, Walter, B, Schlosser, H, Hartmann, A, Andreesen, R, Mackensen, A, Kreutz, M (2011) Warburg phenotype in renal cell carcinoma: high expression of glucose-transporter 1 (GLUT-1) correlates with low CD8(+) T-cell infiltration in the tumor. Int J Cancer 128: pp. 2085-2095 CrossRef 26. Siu, KW, DeSouza, LV, Scorilas, A, Romaschin, AD, Honey, RJ, Stewart, R, Pace, K, Youssef, Y, Chow, TF, Yousef, GM (2009) Differential protein expressions in renal cell carcinoma: new biomarker discovery by mass spectrometry. J Proteome Res 8: pp. 3797-3807 CrossRef 27. Girgis, AH, Iakovlev, VV, Beheshti, B, Bayani, J, Squire, JA, Bui, A, Mankaruos, M, Youssef, Y, Khalil, B, Khella, H, Pasic, M, Yousef, GM (2012) Multilevel whole-genome analysis reveals candidate biomarkers in clear cell renal cell carcinoma. Cancer Res 72: pp. 5273-5284 158/0008-5472.CAN-12-0656" target="_blank" title="It opens in new window">CrossRef 28. White, NM, Bao, TT, Grigull, J, Youssef, YM, Girgis, A, Diamandis, M, Fatoohi, E, Metias, M, Honey, RJ, Stewart, R, Pace, KT, Bjarnason, GA, Yousef, GM (2011) miRNA profiling for clear cell renal cell carcinoma: biomarker discovery and identification of potential controls and consequences of miRNA dysregulation. J Urol 186: pp. 1077-1083 CrossRef 29. Chow, TF, Youssef, YM, Lianidou, E, Romaschin, AD, Honey, RJ, Stewart, R, Pace, KT, Yousef, GM (2010) Differential expression profiling of microRNAs and their potential involvement in renal cell carcinoma pathogenesis. Clin Biochem 43: pp. 150-158 CrossRef 30. Gatenby, RA, Gillies, RJ (2004) Why do cancers have high aerobic glycolysis?. Nat Rev Cancer 4: pp. 891-899 CrossRef 31. Garber, K (2006) Energy deregulation: licensing tumors to grow. Science 312: pp. 1158-1159 158" target="_blank" title="It opens in new window">CrossRef 32. Garland, J (2013) Energy management - a critical role in cancer induction?. Crit Rev Oncol Hematol 88: pp. 198-217 CrossRef 33. Yang, Y, Valera, VA, Padilla-Nash, HM, Sourbier, C, Vocke, CD, Vira, MA, Abu-Asab, MS, Bratslavsky, G, Tsokos, M, Merino, MJ, Pinto, PA, Srinivasan, R, Ried, T, Neckers, L, Linehan, WM (2010) UOK 262 cell line, fumarate hydratase deficient (FH-/FH-) hereditary leiomyomatosis renal cell carcinoma: in vitro and in vivo model of an aberrant energy metabolic pathway in human cancer. Cancer Genet Cytogenet 196: pp. 45-55 CrossRef 34. Romaschin, AD, Youssef, Y, Chow, TF, Siu, KW, DeSouza, LV, Honey, RJ, Stewart, R, Pace, KT, Yousef, GM (2009) Exploring the pathogenesis of renal cell carcinoma: pathway and bioinformatics analysis of dysregulated genes and proteins. Biol Chem 390: pp. 125-135 1515/BC.2009.013" target="_blank" title="It opens in new window">CrossRef 35. Linehan, WM, Rouault, TA (2013) Molecular pathways: Fumarate hydratase-deficient kidney cancer鈥搕argeting the Warburg effect in cancer. Clin Cancer Res 19: pp. 3345-3352 158/1078-0432.CCR-13-0304" target="_blank" title="It opens in new window">CrossRef 36. Serganova, I, Rizwan, A, Ni, X, Thakur, SB, Vider, J, Russell, J, Blasberg, R, Koutcher, JA (2011) Metabolic imaging: a link between lactate dehydrogenase A, lactate, and tumor phenotype. Clin Cancer Res 17: pp. 6250-6261 158/1078-0432.CCR-11-0397" target="_blank" title="It opens in new window">CrossRef 37. Xie, H, Valera, VA, Merino, MJ, Amato, AM, Signoretti, S, Linehan, WM, Sukhatme, VP, Seth, P (2009) LDH-A inhibition, a therapeutic strategy for treatment of hereditary leiomyomatosis and renal cell cancer. Mol Cancer Ther 8: pp. 626-635 158/1535-7163.MCT-08-1049" target="_blank" title="It opens in new window">CrossRef 38. Pelicano, H, Martin, DS, Xu, RH, Huang, P (2006) Glycolysis inhibition for anticancer treatment. Oncogene 25: pp. 4633-4646 CrossRef 39. Xu, RH, Pelicano, H, Zhou, Y, Carew, JS, Feng, L, Bhalla, KN, Keatin, MJ, Huang, P (2005) Inhibition of glycolysis in cancer cells: a novel strategy to overcome drug resistance associated with mitochondrial respiratory defect and hypoxia. Cancer Res 65: pp. 613-621 158/0008-5472.CAN-04-4313" target="_blank" title="It opens in new window">CrossRef 40. Motzer, RJ, Mazumdar, M, Bacik, J, Berg, W, Amsterdam, A, Ferrara, J (1999) Survival and prognostic stratification of 670 patients with advanced renal cell carcinoma. J Clin Oncol 17: pp. 2530-2540 41. Mekhail, TM, Abou-Jawde, RM, Boumerhi, G, Malhi, S, Wood, L, Elson, P, Bukowski, R (2005) Validation and extension of the Memorial Sloan-Kettering prognostic factors model for survival in patients with previously untreated metastatic renal cell carcinoma. J Clin Oncol 23: pp. 832-841 CrossRef 42. Nieder, C, Marienhagen, K, Dalhaug, A, Norum, J (2012) Towards improved prognostic scores predicting survival in patients with brain metastases: a pilot study of serum lactate dehydrogenase levels. Scientific World Journal 2012: pp. 609323 43. Cifola, I, Spinelli, R, Beltrame, L, Peano, C, Fasoli, E, Ferrero, S, Bosari, S, Signorini, S, Rocc, F, Pereg, R, Proserpio, V, Raimondo, F, Mocarelli, P, Battaglia, C (2008) Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile. Mol Cancer 7: pp. 6 CrossRef 44. Sanjmyatav, J, Junker, K, Matthes, S, Muehr, M, Sava, D, Sternal, M, Wessendorf, S, Kreuz, M, Gajda, M, Wunderlich, H, Schwaenen, C (2011) Identification of genomic alterations associated with metastasis and cancer specific survival in clear cell renal cell carcinoma. J Urol 186: pp. 2078-2083 CrossRef 45. Metias, SM, Lianidou, E, Yousef, GM (2009) MicroRNAs in clinical oncology: at the crossroads between promises and problems. J Clin Pathol 62: pp. 771-776 CrossRef 46. Wuttig, D, Zastrow, S, Fussel, S, Toma, MI, Meinhardt, M, Kalman, K, Junker, K, Sanjmyatav, J, Boll, K, Hackermuller, J, Rolle, A, Grimm, MO, Wirth, MP (2012) CD31, EDNRB and TSPAN7 are promising prognostic markers in clear-cell renal cell carcinoma revealed by genome-wide expression analyses of primary tumors and metastases. Int J Cancer 131: pp. E693-E704 CrossRef 47. Stillebroer, AB, Mulders, PF, Boerman, OC, Oyen, WJ, Oosterwijk, E (2010) Carbonic anhydrase IX in renal cell carcinoma: implications for prognosis, diagnosis, and therapy. Eur Urol 58: pp. 75-83 15" target="_blank" title="It opens in new window">CrossRef 48. Kroeze, SG, Vermaat, JS, van Brussel, A, van Melick, HH, Voest, EE, Jonges, TG, van Diest, PJ, Hinrichs, J, Bosch, JL, Jans, JJ (2010) Expression of nuclear FIH independently predicts overall survival of clear cell renal cell carcinoma patients. Eur J Cancer 46: pp. 3375-3382 CrossRef 49. Gossage, L, Eisen, T (2010) Alterations in VHL as potential biomarkers in renal-cell carcinoma. Nat Rev Clin Oncol 7: pp. 277-288 CrossRef 50. Iakovlev, VV, Gabril, M, Dubinski, W, Scorilas, A, Youssef, YM, Faragalla, H, Kovacs, K, Rotondo, F, Metias, S, Arsaniousn, A, Plotki, A, Girgis, AH, Streutker, C, Yousef, GM (2012) Microvascular density as an independent predictor of clinical outcome in renal cell carcinoma: an automated image analysis study. Lab Invest 92: pp. 46-56 153" target="_blank" title="It opens in new window">CrossRef 51. Lichner, Z, Scorilas, A, White, NM, Girgis, AH, Rotstein, L, Wiegand, KC, Latif, A, Chow, C, Huntsman, D, Yousef, GM (2013) The chromatin remodeling gene ARID1A is a new prognostic marker in clear cell renal cell carcinoma. Am J Pathol 182: pp. 1163-1170 CrossRef
- 刊物主题:Cancer Research; Oncology;
- 出版者:BioMed Central
- ISSN:1476-4598
文摘
Background Over 90% of cancer-related deaths in clear cell renal cell carcinoma (RCC) are caused by tumor relapse and metastasis. Thus, there is an urgent need for new molecular markers that can potentiate the efficacy of the current clinical-based models of prognosis assessment. The objective of this study is to evaluate the potential significance of lactate dehydrogenase A (LDHA), assessed by immunohistochemical staining, as a prognostic marker in clear cell renal cell carcinoma in relation to clinicopathological features and clinical outcome. Methods We assessed the expression of LDHA at the protein level, by immunohistochemistry, and correlated its expression with multiple clinicopathological features including tumor size, clinical stage, histological grade, disease-free and overall survival in 385 patients with primary clear cell renal cell carcinoma. We also correlated the LDHA expression with overall survival, at mRNA level, in an independent data set of 170 clear cell renal cell carcinoma cases from The Cancer Genome Atlas databases. Cox proportional hazards models adjusted for the potential clinicopathological factors were used to test for associations between the LDHA expression and both disease-free survival and overall survival. Results There is statistically significant positive correlation between LDHA level of expression and tumor size, clinical stage and histological grade. Moreover, LDHA expression shows significantly inverse correlation with both disease-free survival and overall survival in patients with clear cell renal cell carcinoma. Our results are validated by examining LDHA expression, at the mRNA level, in the independent data set of clear cell renal cell carcinoma cases from The Cancer Genome Atlas databases which also shows that higher lactate dehydrogenase A expression is associated with significantly shorter overall survival. Conclusion Our results indicate that LDHA up-regulation can be a predictor of poor prognosis in clear cell renal cell carcinoma. Thus, it represents a potential prognostic biomarker that can boost the accuracy of other prognostic models in patients with clear cell renal cell carcinoma.
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