Prognostic marker identification based on weighted gene co-expression network analysis and associated in vitro confirmation in gastric cancer

References

• Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.
   PubMed Web of Science ®Google Scholar
• Tirosh I, Izar B, Prakadan SM, et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science. 2016;352(6282):189–196.
   PubMed Web of Science ®Google Scholar
• Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA Cancer J Clin. 2011;61(2):69–90.
   PubMed Web of Science ®Google Scholar
• Hundahl SA, Phillips JL, Menck HRJC. The national cancer data base report on poor survival of U.S. gastric carcinoma patients treated with gastrectomy. 2000;88.
   Google Scholar
• Chatsirisupachai K, Palmer D, Ferreira S, et al. A human tissue-specific transcriptomic analysis reveals a complex relationship between aging, cancer, and cellular senescence. Aging Cell. 2019;18(6):e13041.
   PubMed Web of Science ®Google Scholar
• Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9(1):559.
   PubMed Web of Science ®Google Scholar
• Zhou L, Lu H, Zeng F, et al. Constructing a new prognostic signature of gastric cancer based on multiple data sets. Bioengineered. 2021;12(1):2820–2835.
   PubMed Web of Science ®Google Scholar
• Yang KS, Xu CQ, Lv J. Identification and validation of the prognostic value of cyclic GMP-AMP synthase-stimulator of interferon (cGAS-STING) related genes in gastric cancer. Bioengineered. 2021;12(1):1238–1250.
   PubMed Web of Science ®Google Scholar
• Yao S, Liu T. Analysis of differential gene expression caused by cervical intraepithelial neoplasia based on GEO database. Oncol Lett. 2018;15:8319–8324.
   PubMed Web of Science ®Google Scholar
• Ioffe S, Szegedy C Batch normalization: accelerating deep network training by reducing internal covariate shift. 2015.
   Google Scholar
• Ritchie ME, 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
• Chin CH, Chen SH, Wu HH, et al. cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8(Suppl 4):S11.
   PubMed Web of Science ®Google Scholar
• Almansouri S, Zwyea S. Early prognosis of human renal cancer with Kaplan-Meier Plotter data analysis model. Journal of physics: conference series. 2020;1530:012051. IOP Publishing.
   Google Scholar
• Tang Z, Li C, Kang B, et al. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45(W1):W98–W102.
   PubMed Web of Science ®Google Scholar
• Rhodes DR, Yu J, Shanker K, et al. ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia. 2004;6(1):1–6.
   PubMed Web of Science ®Google Scholar
• Zou R, Zheng M, Tan M, et al. Decreased PTGDS expression predicting poor survival of endometrial cancer by integrating weighted gene co-expression network analysis and immunohistochemical validation. Cancer Manag Res. 2020;12:5057–5075.
   PubMed Web of Science ®Google Scholar
• Li B, Severson E, Pignon JC, et al. Comprehensive analyses of tumor immunity: implications for cancer immunotherapy. Genome Biol. 2016;17(1):174.
   PubMed Web of Science ®Google Scholar
• Geoerger B, Kang HJ, Yalon-Oren M, et al. Pembrolizumab in paediatric patients with advanced melanoma or a PD-L1-positive, advanced, relapsed, or refractory solid tumour or lymphoma (KEYNOTE-051): interim analysis of an open-label, single-arm, phase 1-2 trial. Lancet Oncol. 2020;21(1):121–133.
   PubMed Web of Science ®Google Scholar
• Wang X, Guo G, Guan H, et al. Challenges and potential of PD-1/PD-L1 checkpoint blockade immunotherapy for glioblastoma. J Exp Clin Cancer Res. 2019;38(1):87.
   PubMed Web of Science ®Google Scholar
• Xu F, Jin T, Zhu Y, et al. Immune checkpoint therapy in liver cancer. J Exp Clin Cancer Res. 2018;37(1):110.
   PubMed Web of Science ®Google Scholar
• Teng F, Meng X, Kong L, et al. Progress and challenges of predictive biomarkers of anti PD-1/PD-L1 immunotherapy: a systematic review. Cancer Lett. 2018;414:166–173.
   PubMed Web of Science ®Google Scholar
• Jiang J, Liu HL, Tao L, et al. Let7d inhibits colorectal cancer cell proliferation through the CST1/p65 pathway. Int J Oncol. 2018;53:781–790.
   PubMed Web of Science ®Google Scholar
• Jiang J, Liu HL, Liu ZH, et al. Identification of cystatin SN as a novel biomarker for pancreatic cancer. Tumour Biol. 2015;36(5):3903–3910.
   PubMedGoogle Scholar
• Choi EH, Kim JT, Kim JH, et al. Upregulation of the cysteine protease inhibitor, cystatin SN, contributes to cell proliferation and cathepsin inhibition in gastric cancer. Clin Chim Acta. 2009;406(1–2):45–51.
   PubMed Web of Science ®Google Scholar
• Chen YF, Ma G, Cao X, et al. Overexpression of cystatin SN positively affects survival of patients with surgically resected esophageal squamous cell carcinoma. BMC Surg. 2013;13(1):15.
   PubMed Web of Science ®Google Scholar
• Yoneda K, Iida H, Endo H, et al. Identification of Cystatin SN as a novel tumor marker for colorectal cancer. Int J Oncol. 2009;35:33–40.
   PubMed Web of Science ®Google Scholar
• Kim J, Bae DH, Kim JH, et al. HOXC10 overexpression promotes cell proliferation and migration in gastric cancer. Oncol Rep. 2019;42:202–212.
   PubMed Web of Science ®Google Scholar
• Zhou J, Song Y, Gan W, et al. Upregulation of COL8A1 indicates poor prognosis across human cancer types and promotes the proliferation of gastric cancer cells. Oncol Lett. 2020;20:34.
   PubMed Web of Science ®Google Scholar
• Karbyshev MS, Grigoryeva ES, Volkomorov VV, et al. Development of novel monoclonal antibodies for evaluation of transmembrane prostate androgen-induced protein 1 (TMEPAI) expression patterns in gastric cancer. Pathol Oncol Res. 2018;24(2):427–438.
   PubMed Web of Science ®Google Scholar
• Lv J, Zhao R, Wu D, et al. Mesothelin is a target of chimeric antigen receptor T cells for treating gastric cancer. J Hematol Oncol. 2019;12(1):18.
   PubMed Web of Science ®Google Scholar
• Matsuzaki S, Tanaka F, Mimori K, et al. Clinicopathologic significance of KIAA1199 overexpression in human gastric cancer. Ann Surg Oncol. 2009;16(7):2042–2051.
   PubMed Web of Science ®Google Scholar
• Wang L, Yu T, Li W, et al. The miR-29c-KIAA1199 axis regulates gastric cancer migration by binding with WBP11 and PTP4A3. Oncogene. 2019;38(17):3134–3150.
   PubMed Web of Science ®Google Scholar
• Jia S, Qu T, Wang X, et al. KIAA1199 promotes migration and invasion by Wnt/beta-catenin pathway and MMPs mediated EMT progression and serves as a poor prognosis marker in gastric cancer. PLoS One. 2017;12(4):e0175058.
   PubMed Web of Science ®Google Scholar
• Deroyer C, Charlier E, Neuville S, et al. CEMIP (KIAA1199) induces a fibrosis-like process in osteoarthritic chondrocytes. Cell Death Dis. 2019;10(2):103.
   PubMed Web of Science ®Google Scholar
• Kwapiszewska G, Gungl A, Wilhelm J, et al. Transcriptome profiling reveals the complexity of pirfenidone effects in idiopathic pulmonary fibrosis. Eur Respir J. 2018;52(5):1800564.
   PubMed Web of Science ®Google Scholar
• Parkin DM. The global health burden of infection-associated cancers in the year 2002. Int J Cancer. 2006;118(12):3030–3044.
   PubMed Web of Science ®Google Scholar
• Parsonnet J, Friedman GD, Vandersteen DP, et al. Helicobacter pylori infection and the risk of gastric carcinoma. N Engl J Med. 1991;325(16):1127–1131.
   PubMed Web of Science ®Google Scholar