Identification of Prognostic Genes for Colon Cancer through Gene Coexpression Network Analysis  

作　　者：Dan-wen WANG Zhang-shuo YANG Jian XU Li-jie YANG Tie-cheng YANG Hua-qiao WANG Mao-hui FENG Fei SU 

机构地区：[1]Department of Gastrointestinal Surgery,Zhongnan Hospital of Wuhan University,Wuhan 430071,China [2]Key Laboratory of Tumor Biological Behavior of Hubei Province,Wuhan 430071,China [3]Centerfor Clinical Medicine of Peritoneal Cancer of Wuhan,Wuhan 430071,China [4]Clinical Cancer Study Center of Hubei Province,Wuhan 430071,China [5]Department of Pathology,Zhongnan Hospital of Wuhan University,Wuhan 430071,China [6]Department of Oncology,the First Hospital of Lanzhou University,Lanzhou 730000,Chin

出　　处：《Current Medical Science》2021年第5期1012-1022,共11页当代医学科学（英文）

基　　金：supported in part by grants from the National Natural Science Foundation of China(No.81072152 and No.81770283);Natural Science Foundation of Hubei Province(No.2015CFA027);Research Foundation of Health and Family Planning Commission of Hubei Province(No.WJ2015MAO10 and No.WJ2017M249);Clinical Medical Research Center of Peritoneal Cancer of Wuhan(No.2015060911020462);Subsidy Project of No.1 Hospital of Lanzhou University(No.Idyyyn2018-13);Innovation fund of universities in Gansu Province(No.2020B-009).

摘　　要：Objective:The present study was aimed to identify novel key genes,prognostic biomarkers and molecular pathways implicated in tumorigenesis of colon cancer.Methods:The microarray data GSE41328 containing 10 colon cancer samples and 10 adjacent normal tissues was analyzed to identify 4763 differentially expressed genes.Meanwhile,another microarray data GSE17536 was performed for weighted gene co-expression network analysis(WGCNA).Results:In present study,12 co-expressed gene modules associated with tumor progression were identified for further studies.The red module showed the highest association with pathological stage by Pearson's correlation analysis.Functional enrichment analysis revealed that genes in red module focused on cell division,cell proliferation,cell cycle and metabolic related pathway.Then,a total of 26 key hub genes were identified,and GEPIA database was subsequently selected for validation.Holliday junction-recognizing protein(HJURP)and cell division cycle 25 homolog C(CDC25C)were identified as effective prognosis biomarkers,which were all detrimental to prognosis.Gene set enrichment analyses(GSEA)found the two hub genes were enriched in“oocyte meiosis”,“oocyte maturation that are progesterone-mediated”,“p53 signaling pathway”,and“cell cycle”.Furthermore,the immunohistochemistry and western blotting showed that HJURP was highly expressed in colon cancer tissue.Conclusion:HJURP was identified as a key gene associated with colon cancer progression and prognosis by WGCNA,which might influence the prognosis by regulating cell cycle pathways.

关 键 词：colon cancer biomarkers weighted gene co-expression network analysis prognosis pathological stage 

分 类 号：R73[医药卫生—肿瘤]