Constructing a new prognostic signature of gastric cancer based on multiple data sets

References

• Choi IJ, Kook MC, Kim YI, et al. Helicobacter pylori therapy for the prevention of metachronous gastric cancer. N Engl J Med. 2018;378(12):1085–1095.
   PubMed Web of Science ®Google Scholar
• Miller KD, Nogueira L, Mariotto AB, et al. Cancer treatment and survivorship statistics, 2019. CA Cancer J Clin. 2019;69(5):363–385.
   PubMed Web of Science ®Google Scholar
• Gao K, Wu J. National trend of gastric cancer mortality in China (2003-2015): a population-based study. Cancer Commun (Lond). 2019;39(1):24.
   PubMedGoogle Scholar
• Shin Low S, Pan Y, Ji D, et al. Smartphone-based portable electrochemical biosensing system for detection of circulating microRNA-21 in saliva as a proof-of-concept. Sens Actuators B Chem. 2020;308:127718.
   Web of Science ®Google Scholar
• How CW, Ong YS, Low SS, et al. How far have we explored fungi to fight cancer? Semin Cancer Biol. 2021. DOI:10.1016/j.semcancer.2021.03.009
   PubMed Web of Science ®Google Scholar
• Xiang Z, Shen E, Li M, et al. Potential prognostic biomarkers related to immunity in clear cell renal cell carcinoma using bioinformatic strategy. Bioengineered. 2021;12(1):1773–1790.
   PubMed Web of Science ®Google Scholar
• Liu Z, Sun D, Zhu Q, et al. The screening of immune-related biomarkers for prognosis of lung adenocarcinoma. Bioengineered. 2021;12(1):1273–1285.
   PubMed Web of Science ®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.
   PubMed Web of Science ®Google Scholar
• Deng R, Zuo C, Li Y, et al. The innate immune effector ISG12a promotes cancer immunity by suppressing the canonical Wnt/β-catenin signaling pathway. Cell Mol Immunol. 2020;17(11):1163–1179.
   PubMed Web of Science ®Google Scholar
• Zhang G, Fan E, Yue G, et al. Five genes as a novel signature for predicting the prognosis of patients with laryngeal cancer. J Cell Biochem. 2019;121(8–9):3804–3813.
   Web of Science ®Google Scholar
• Du P, Kibbe W, Lin S. lumi: a pipeline for processing Illumina microarray. Bioinformatics. 2008;24(13):1547–1548.
   PubMed Web of Science ®Google Scholar
• Leek J, Johnson W, Parker H, et al. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882–883.
   PubMed Web of Science ®Google Scholar
• Ritchie M, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.
   PubMed Web of Science ®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(9):R183.
   PubMed Web of Science ®Google Scholar
• Heagerty PJ, Zheng Y. Survival model predictive accuracy and ROC curves. Biometrics. 2005;61(1):92–105.
   PubMed Web of Science ®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 Nat Acad Sci. 2005;102(43):15545–15550.
   PubMed Web of Science ®Google Scholar
• Xiong C, Wang G, Bai D. A novel prognostic models for identifying the risk of hepatocellular carcinoma based on epithelial-mesenchymal transition-associated genes. Bioengineered. 2020;11(1):1034–1046.
   PubMed Web of Science ®Google Scholar
• Luck K, Kim DK, Lambourne L, et al. A reference map of the human binary protein interactome. Nature. 2020;580(7803):402–408.
   PubMed Web of Science ®Google Scholar
• Szász A, Lánczky A, Nagy Á, et al. Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients. Oncotarget. 2016;7(31):49322–49333.
   PubMedGoogle Scholar
• Oliveira C, Pinheiro H, Figueiredo J, et al. Familial gastric cancer: genetic susceptibility, pathology, and implications for management. Lancet Oncol. 2015;16(2):e60–70.
   PubMed Web of Science ®Google Scholar
• Van Cutsem E, Bang YJ, Feng-Yi F, et al. HER2 screening data from ToGA: targeting HER2 in gastric and gastroesophageal junction cancer. Gastric Cancer. 2015;18(3):476–484.
   PubMed Web of Science ®Google Scholar
• Wang DS, Liu ZX, Lu YX, et al. Liquid biopsies to track trastuzumab resistance in metastatic HER2-positive gastric cancer. Gut. 2019;68(7):1152–1161.
   PubMed Web of Science ®Google Scholar
• Muro K, Van Cutsem E, Narita Y, et al. Pan-Asian adapted ESMO clinical practice guidelines for the management of patients with metastatic gastric cancer: a JSMO-ESMO initiative endorsed by CSCO, KSMO, MOS, SSO and TOS. Ann Oncol. 2019;30(1):19–33.
   PubMed Web of Science ®Google Scholar
• Roma-Rodrigues C, Mendes R, Baptista PV, et al. Targeting tumor microenvironment for cancer therapy. Int J Mol Sci. 2019;20(4):840.
   PubMed Web of Science ®Google Scholar
• Li X, Gu J, Zhou Q. Review of aerobic glycolysis and its key enzymes - new targets for lung cancer therapy. Thorac Cancer. 2015;6(1):17–24.
   PubMed Web of Science ®Google Scholar
• Wei X, Mao T, Li S, et al. DT-13 inhibited the proliferation of colorectal cancer via glycolytic metabolism and AMPK/mTOR signaling pathway. Phytomedicine. 2019;54:120–131.
   PubMed Web of Science ®Google Scholar
• Chiurillo MA. Role of the Wnt/β-catenin pathway in gastric cancer: an in-depth literature review. World J Exp Med. 2015;5(2):84–102.
   PubMedGoogle Scholar
• Mao J, Fan S, Ma W, et al. Roles of Wnt/β-catenin signaling in the gastric cancer stem cells proliferation and salinomycin treatment. Cell Death Dis. 2014;5(1):e1039.
   PubMedGoogle Scholar
• Zi Z. Molecular engineering of the TGF-β signaling pathway. J Mol Biol. 2019;431(15):2644–2654.
   PubMed Web of Science ®Google Scholar
• Catteau X, Simon P, Noël JC. Myofibroblastic stromal reaction and lymph node status in invasive breast carcinoma: possible role of the TGF-β1/TGF-βR1 pathway. BMC Cancer. 2014;14:499.
   PubMed Web of Science ®Google Scholar
• Bure IV, Nemtsova MV, Zaletaev DV. Roles of E-cadherin and Noncoding RNAs in the epithelial-mesenchymal transition and progression in gastric cancer. Int J Mol Sci. 2019;20(12):2870.
   PubMed Web of Science ®Google Scholar
• Yue B, Song C, Yang L, et al. METTL3-mediated N6-methyladenosine modification is critical for epithelial-mesenchymal transition and metastasis of gastric cancer. Mol Cancer. 2019;18(1):142.
   PubMed Web of Science ®Google Scholar
• Wiese C, Heisig J, Gessler M. Hey bHLH factors in cardiovascular development. Pediatr Cardiol. 2010;31(3):363–370.
   PubMed Web of Science ®Google Scholar
• Sang L, Roberts JM, Coller HA. Hijacking HES1: how tumors co-opt the anti-differentiation strategies of quiescent cells. Trends Mol Med. 2010;16(1):17–26.
   PubMed Web of Science ®Google Scholar
• Lamouille S, Xu J, Derynck R. Molecular mechanisms of epithelial-mesenchymal transition. Nat Rev Mol Cell Biol. 2014;15(3):178–196.
   PubMed Web of Science ®Google Scholar
• Weng HLSNW. Charactering tumor microenvironment reveals stromal-related transcription factors promote tumor carcinogenesis in gastric cancer. Cancer Med. 2020;9:5247–5257.
   PubMed Web of Science ®Google Scholar
• Fanelli M, Chinen L, Begnami M, et al. The influence of transforming growth factor-α, cyclooxygenase-2, matrix metalloproteinase (MMP)-7, MMP-9 and CXCR4 proteins involved in epithelial-mesenchymal transition on overall survival of patients with gastric cancer. Histopathology. 2012;61(2):153–161.
   PubMed Web of Science ®Google Scholar
• Lee K, Choi E, Hyun M, et al. Association of extracellular cleavage of E-cadherin mediated by MMP-7 with HGF-induced in vitro invasion in human stomach cancer cells. Eur Surg Res Europaische Chirurgische Forschung Recherches Chirurgicales Europeennes. 2007;39(4):208–215.
   PubMed Web of Science ®Google Scholar
• Kashihara H, Shimada M, Yoshikawa K, et al. Correlation between thrombospondin-1 expression in non-cancer tissue and gastric carcinogenesis. Anticancer Res. 2017;37(7):3547–3552.
   PubMed Web of Science ®Google Scholar
• Lin X, Chen S, Qi Y, et al. Overexpression of thrombospondin-1 in stromal myofibroblasts is associated with tumor growth and nodal metastasis in gastric carcinoma. J Surg Oncol. 2012;106(1):94–100.
   PubMed Web of Science ®Google Scholar
• Nakao T, Kurita N, Komatsu M, et al. Expression of thrombospondin-1 and Ski are prognostic factors in advanced gastric cancer. Int J Clin Oncol. 2011;16(2):145–152.
   PubMed Web of Science ®Google Scholar
• Xu Z, Chen J, Shu Y. Gene expression profile towards the prediction of patient survival of gastric cancer. Biomed Pharmacothe. 2010;64(2):133–139.
   PubMed Web of Science ®Google Scholar
• Zhang J, Ito R, Oue N, et al. Expression of thrombospondin-1 is correlated with microvessel density in gastric carcinoma. Virchows Arch. 2003;442(6):563–568.
   PubMed Web of Science ®Google Scholar
• Hu H, Xu D, Huang X, et al. Keratin17 promotes tumor growth and is associated with poor prognosis in gastric cancer. J Cancer. 2018;9(2):346–357.
   PubMed Web of Science ®Google Scholar
• Chivu-Economescu M, Dragu D, Necula L, et al. Knockdown of KRT17 by siRNA induces antitumoral effects on gastric cancer cells. Gastric Cancer. 2017;20(6):948–959.
   PubMed Web of Science ®Google Scholar