Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68:7–30.
Article
PubMed
Google Scholar
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.
Article
PubMed
Google Scholar
De P, Otterstatter MC, Semenciw R, Ellison LF, Marrett LD, Dryer D. Trends in incidence, mortality, and survival for kidney cancer in Canada, 1986-2007. Cancer Causes Control. 2014;25:1271–81.
Article
PubMed
PubMed Central
Google Scholar
Gupta K, Miller JD, Li JZ, Russell MW, Charbonneau C. Epidemiologic and socioeconomic burden of metastatic renal cell carcinoma (mRCC): a literature review. Cancer Treat Rev. 2008;34:193–205.
Article
PubMed
Google Scholar
Gray RE, Harris GT. Renal Cell Carcinoma: Diagnosis and Management. Am Fam Physician. 2019;99:179–84.
PubMed
Google Scholar
Greef B, Eisen T. Medical treatment of renal cancer: new horizons. Br J Cancer. 2016;115:505–16.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74.
Article
CAS
PubMed
Google Scholar
Torresano L, Nuevo-Tapioles C, Santacatterina F, Cuezva JM. Metabolic reprogramming and disease progression in cancer patients. Biochim Biophys Acta Mol Basis Dis. 1866;165721:2020.
Google Scholar
Dobbelstein M, Moll U. Targeting tumour-supportive cellular machineries in anticancer drug development. Nature reviews. Drug Discov. 2014;13:179–96.
Article
CAS
Google Scholar
He X, Lin X, Cai M, et al. Overexpression of hexokinase 1 as a poor prognosticator in human colorectal cancer. Tumour Biol. 2016;37:3887–95.
Article
CAS
PubMed
Google Scholar
Coelho RG, Calaça IC, Celestrini DM, et al. Hexokinase and phosphofructokinase activity and intracellular distribution correlate with aggressiveness and invasiveness of human breast carcinoma. Oncotarget. 2015;6:29375–87.
Article
PubMed
PubMed Central
Google Scholar
Gao Y, Xu D, Yu G, Liang J. Overexpression of metabolic markers HK1 and PKM2 contributes to lymphatic metastasis and adverse prognosis in Chinese gastric cancer. Int J Clin Exp Pathol. 2015;8:9264–71.
CAS
PubMed
PubMed Central
Google Scholar
Bartrons R, Simon-Molas H, Rodríguez-García A, et al. Fructose 2,6-Bisphosphate in Cancer cell metabolism. Front Oncol. 2018;8:331.
Article
PubMed
PubMed Central
Google Scholar
Peng F, Li Q, Sun JY, Luo Y, Chen M, Bao Y. PFKFB3 is involved in breast cancer proliferation, migration, invasion and angiogenesis. Int J Oncol. 2018;52:945–54.
CAS
PubMed
Google Scholar
Czarnecka AM, Kukwa W, Kornakiewicz A, Lian F, Szczylik C. Clinical and molecular prognostic and predictive biomarkers in clear cell renal cell cancer. Future oncology (London). 2014;10:2493–508.
Article
CAS
Google Scholar
Wang ZH, Zhang YZ, Wang YS, Ma XX. Identification of novel cell glycolysis related gene signature predicting survival in patients with endometrial cancer. Cancer Cell Int. 2019;19:296.
Article
PubMed
PubMed Central
CAS
Google Scholar
Zhang L, Zhang Z, Yu Z. Identification of a novel glycolysis-related gene signature for predicting metastasis and survival in patients with lung adenocarcinoma. J Transl Med. 2019;17:423.
Article
CAS
PubMed
PubMed Central
Google Scholar
Lu C, Fang S, Weng Q, et al. Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma. Cell Commun Signal. 2020;18:97.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zhang C, Gou X, He W, Yang H, Yin H. A glycolysis-based 4-mRNA signature correlates with the prognosis and cell cycle process in patients with bladder cancer. Cancer Cell Int. 2020;20:177.
Article
CAS
PubMed
PubMed Central
Google Scholar
Liberzon A, Subramanian A, Pinchback R, Thorvaldsdóttir H, Tamayo P, Mesirov JP. Molecular signatures database (MSigDB) 3.0. Bioinformatics (Oxford). 2011;27:1739–40.
Article
CAS
Google Scholar
Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P. The molecular signatures database (MSigDB) hallmark gene set collection. Cell Syst. 2015;1:417–25.
Article
CAS
PubMed
PubMed Central
Google Scholar
Liu J, Li S, Feng G, et al. Nine glycolysis-related gene signature predicting the survival of patients with endometrial adenocarcinoma. Cancer Cell Int. 2020;20:183.
Article
CAS
PubMed
PubMed Central
Google Scholar
Liu C, Li Y, Wei M, Zhao L, Yu Y, Li G. Identification of a novel glycolysis-related gene signature that can predict the survival of patients with lung adenocarcinoma. Cell Cycle (Georgetown). 2019;18:568–79.
Article
CAS
Google Scholar
Liu Y, Yin S. A novel prognostic index based on the analysis of glycolysis-related genes in head and neck squamous cell carcinomas. J Oncol. 2020;2020:7353874.
PubMed
PubMed Central
Google Scholar
Subramanian A, Tamayo P, Mootha VK, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102:15545–50.
Article
CAS
PubMed
PubMed Central
Google Scholar
Franceschini A, Szklarczyk D, Frankild S, et al. STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 2013;41:D808–15.
Article
CAS
PubMed
Google Scholar
Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–504.
Article
CAS
PubMed
PubMed Central
Google Scholar
Huang DW, Sherman BT, Tan Q, et al. The DAVID gene functional classification tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol. 2007;8:R183.
Article
PubMed
PubMed Central
CAS
Google Scholar
Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26:565–74.
Article
PubMed
PubMed Central
Google Scholar
Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6:l1.
Article
CAS
Google Scholar
Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2:401–4.
Article
PubMed
Google Scholar
Uhlén M, Fagerberg L, Hallström BM, et al. Proteomics. Tissue-based map of the human proteome. Science (New York). 2015;347:1260419.
Article
CAS
Google Scholar
Vinuesa CG, Linterman MA, Yu D, MacLennan IC. Follicular helper T cells. Annu Rev Immunol. 2016;34:335–68.
Article
CAS
PubMed
Google Scholar
Juang CM, Hung CF, Yeh JY, et al. Regulatory T cells: potential target in anticancer immunotherapy. Taiwan J Obstet Gynecol. 2007;46:215–21.
Article
PubMed
Google Scholar
Italiani P, Boraschi D. From monocytes to M1/M2 macrophages: Phenotypical vs. Funct Differ Front Immunol. 2014;5:514.
Google Scholar
Brossart P, Wirths S, Brugger W, Kanz L. Dendritic cells in cancer vaccines. Exp Hematol. 2001;29:1247–55.
Article
CAS
PubMed
Google Scholar
Dyduch G, Kaczmarczyk K, Okoń K. Mast cells and cancer: enemies or allies? Pol J Pathol. 2012;63:1–7.
CAS
PubMed
Google Scholar
Heiden MGV, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science (New York). 2009;324:1029–33.
Article
CAS
Google Scholar
Opdenakker G, Rudd PM, Ponting CP, Dwek RA. Concepts and principles of glycobiology. FASEB J. 1993;7:1330–7.
Article
CAS
PubMed
Google Scholar
Patra KC, Hay N. The pentose phosphate pathway and cancer. Trends Biochem Sci. 2014;39:347–54.
Article
CAS
PubMed
PubMed Central
Google Scholar
Pinthus JH, Whelan KF, Gallino D, Lu JP, Rothschild N. Metabolic features of clear-cell renal cell carcinoma: mechanisms and clinical implications. Can Urol Assoc J. 2011;5:274–82.
Article
PubMed
PubMed Central
Google Scholar
Tindall MJ, Dyson L, Smallbone K, Maini PK. Modelling acidosis and the cell cycle in multicellular tumour spheroids. J Theor Biol. 2012;298:107–15.
Article
CAS
PubMed
Google Scholar
Smallbone K, Gavaghan DJ, Maini PK, Brady JM. Quiescence as a mechanism for cyclical hypoxia and acidosis. J Math Biol. 2007;55:767–79.
Article
PubMed
Google Scholar
Yeh AC, Ramaswamy S. Mechanisms of Cancer cell dormancy--another Hallmark of Cancer? Cancer Res. 2015;75:5014–22.
Article
CAS
PubMed
PubMed Central
Google Scholar
Christofk HR, Vander Heiden MG, Harris MH, et al. The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth. Nature. 2008;452:230–3.
Article
CAS
PubMed
Google Scholar
DeBerardinis RJ, Lum JJ, Hatzivassiliou G, Thompson CB. The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metab. 2008;7:11–20.
Article
CAS
PubMed
Google Scholar
Panayiotou C, Solaroli N, Karlsson A. The many isoforms of human adenylate kinases. Int J Biochem Cell Biol. 2014;49:75–83.
Article
CAS
PubMed
Google Scholar
Godinot C, de Laplanche E, Hervouet E, Simonnet H. Actuality of Warburg's views in our understanding of renal cancer metabolism. J Bioenerg Biomembr. 2007;39:235–41.
Article
CAS
PubMed
Google Scholar
Zhang L, Du Y, Xu S, et al. DEPDC1, negatively regulated by miR-26b, facilitates cell proliferation via the up-regulation of FOXM1 expression in TNBC. Cancer Lett. 2019;442:242–51.
Article
CAS
PubMed
Google Scholar
Nickerson ML, Jaeger E, Shi Y, et al. Improved identification of von Hippel-Lindau gene alterations in clear cell renal tumors. Clin Cancer Res. 2008;14:4726–34.
Article
CAS
PubMed
PubMed Central
Google Scholar
Gordan JD, Thompson CB, Simon MC. HIF and c-Myc: sibling rivals for control of cancer cell metabolism and proliferation. Cancer Cell. 2007;12:108–13.
Article
CAS
PubMed
PubMed Central
Google Scholar
Courtnay R, Ngo DC, Malik N, Ververis K, Tortorella SM, Karagiannis TC. Cancer metabolism and the Warburg effect: the role of HIF-1 and PI3K. Mol Biol Rep. 2015;42:841–51.
Article
CAS
PubMed
Google Scholar
Gilkes DM, Bajpai S, Wong CC, et al. Procollagen lysyl hydroxylase 2 is essential for hypoxia-induced breast cancer metastasis. Mol Cancer Res. 2013;11:456–66.
Article
CAS
PubMed
PubMed Central
Google Scholar
Pearlman R, Frankel WL, Swanson B, et al. Prevalence and Spectrum of Germline Cancer susceptibility gene mutations among patients with early-onset colorectal Cancer. JAMA Oncol. 2017;3:464–71.
Article
PubMed
PubMed Central
Google Scholar
Yan Y, Zuo X, Wei D. Concise review: emerging role of CD44 in Cancer stem cells: a promising biomarker and therapeutic target. Stem Cells Transl Med. 2015;4:1033–43.
Article
CAS
PubMed
PubMed Central
Google Scholar
Yu G, Li H, Wang J, et al. miRNA-34a suppresses cell proliferation and metastasis by targeting CD44 in human renal carcinoma cells. J Urol. 2014;192:1229–37.
Article
CAS
PubMed
Google Scholar
Qi Y, Xu R. Roles of PLODs in collagen synthesis and Cancer progression. Front Cell Dev Biol. 2018;6:66.
Article
PubMed
PubMed Central
Google Scholar
Yamada Y, Kato M, Arai T, et al. Aberrantly expressed PLOD1 promotes cancer aggressiveness in bladder cancer: a potential prognostic marker and therapeutic target. Mol Oncol. 2019;13:1898–912.
Article
CAS
PubMed
PubMed Central
Google Scholar
Correa AF, Jegede O, Haas NB, et al. Predicting renal Cancer recurrence: defining limitations of existing prognostic models with prospective trial-based validation. J Clin Oncol. 2019;37:2062–71.
Article
CAS
PubMed
PubMed Central
Google Scholar
Iwahori K. Cytotoxic CD8 lymphocytes in the tumor microenvironment. Adv Exp Med Biol. 2020;1224:53–62.
Article
CAS
PubMed
Google Scholar
Borst J, Ahrends T, Bąbała N, Melief CJM, Kastenmüller W. CD4 T cell help in cancer immunology and immunotherapy. Nat Rev Immunol. 2018;18:635–47.
Article
CAS
PubMed
Google Scholar
Sudarshan S, Karam JA, Brugarolas J, et al. Metabolism of kidney cancer: from the lab to clinical practice. Eur Urol. 2013;63:244–51.
Article
CAS
PubMed
Google Scholar
Gill KS, Fernandes P, O'Donovan TR, et al. Glycolysis inhibition as a cancer treatment and its role in an anti-tumour immune response. Biochim Biophys Acta. 2016;1866:87–105.
CAS
PubMed
Google Scholar
Simon AG, Esser LK, Ellinger J, et al. Targeting glycolysis with 2-deoxy-D-glucose sensitizes primary cell cultures of renal cell carcinoma to tyrosine kinase inhibitors. J Cancer Res Clin Oncol. 2020;146:2255–65.
Article
CAS
PubMed
Google Scholar
Wang S, Zheng W, Ji A, Zhang D, Zhou M. Overexpressed miR-122-5p promotes cell viability, proliferation, migration and glycolysis of renal Cancer by negatively regulating PKM2. Cancer Manag Res. 2019;11:9701–13.
Article
CAS
PubMed
PubMed Central
Google Scholar
Li S, Zhu K, Liu L, Gu J, Niu H, Guo J. lncARSR sponges miR-34a-5p to promote colorectal cancer invasion and metastasis via hexokinase-1-mediated glycolysis. Cancer Sci. 2020;111:3938–52.
Article
CAS
PubMed
PubMed Central
Google Scholar
Chen HL, Ma P, Chen YL, et al. Effect of metformin on proliferation capacity, apoptosis and glycolysis in K562 cells. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2019;27:1387–94.
PubMed
Google Scholar
Zhou X, Liu S, Lin X, et al. Metformin inhibit lung Cancer cell growth and invasion in vitro as well as tumor formation in vivo partially by activating PP2A. Med Sci Monit. 2019;25:836–46.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ashton TM, McKenna WG, Kunz-Schughart LA, Higgins GS. Oxidative phosphorylation as an emerging target in Cancer therapy. Clin Cancer Res. 2018;24:2482–90.
Article
CAS
PubMed
Google Scholar
Sharma A, Smyrk TC, Levy MJ, Topazian MA, Chari ST. Fasting Blood Glucose Levels Provide Estimate of Duration and Progression of Pancreatic Cancer Before Diagnosis. Gastroenterology. 2018;155:490–500.e492.
Article
CAS
PubMed
Google Scholar
Lin Y, Hu D, Zhou Q, Lin X, Lin J, Peng F. The fasting blood glucose and long non-coding RNA SNHG8 predict poor prognosis in patients with gastric carcinoma after radical gastrectomy. Aging (Albany). 2018;10:2646–56.
Article
CAS
Google Scholar