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Identification of Prognostic Genes for Colon Cancer through Gene Coexpression Network Analysis 被引量:1
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作者 Dan-wen WANG Zhang-shuo YANG +5 位作者 Jian XU Li-jie YANG Tie-cheng YANG Hua-qiao WANG Mao-hui FENG Fei SU 《Current Medical Science》 SCIE CAS 2021年第5期1012-1022,共11页
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 cance... 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. 展开更多
关键词 colon cancer biomarkers weighted gene co-expression network analysis prognosis pathological stage
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Overexpression of eRF3a Promotes Cell Proliferation and Migration in Liver Cancer 被引量:1
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作者 Yi-qing XI Li-hua XU +7 位作者 Li-jie YANG Hua-qiao WANG Tie-cheng YANG Zhi LI Wei XIE Jing-wei ZHANG Xuan-fei LI Mao-hui FENG 《Current Medical Science》 SCIE CAS 2022年第1期100-107,共8页
Objective:The eukaryotic release factor 3a(eRF3a),a member of the eukaryotic peptide chain release factor family,is overexpressed in several types of cancer.This study aims to investigate the biological role and mecha... Objective:The eukaryotic release factor 3a(eRF3a),a member of the eukaryotic peptide chain release factor family,is overexpressed in several types of cancer.This study aims to investigate the biological role and mechanism of eRF3a in the progression of liver cancer. 展开更多
关键词 eukaryotic release factor 3a liver cancer MIGRATION INVASION
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