Candidate genes involved in metastasis of colon cancer identified by integrated analysis.
Colon cancer is one of the most malignant cancers worldwide. Nearly 20% of all colon cancer patients are diagnosed at stage IV (metastasis). However, further study of colon cancer is difficult due to a lack of understanding of its pathogenesis. In this study, we acquired high-throughput sequence data from TCGA datasets and performed integrated bioinformatic analysis including differential gene expression analysis, gene ontology and KEGG pathways analysis, protein-protein analysis, survival analysis, and multivariate Cox proportional hazards regression analysis in order to identify a panel of key candidate genes involved in the metastasis of colon cancer. We then constructed a prognostic signature based on the expression of REG1B, TGM6, NTF4, PNMA5, and HOXC13 which could provide significant prognostic value for colon cancer.
['Zhou|Yiming|Y|0000-0002-1524-6287', 'Zang|Yiwen|Y|', 'Yang|Yi|Y|', 'Xiang|Jianbin|J|', 'Chen|Zongyou|Z|']
D000328:Adult D000368:Aged D014408:Biomarkers, Tumor D003110:Colonic Neoplasms D019295:Computational Biology D005260:Female D020869:Gene Expression Profiling D015972:Gene Expression Regulation, Neoplastic D006801:Humans D008297:Male D008875:Middle Aged D009367:Neoplasm Staging D011379:Prognosis D016016:Proportional Hazards Models D025941:Protein Interaction Mapping D060066:Protein Interaction Maps D012372:ROC Curve D059467:Transcriptome
metastasis colon cancer TCGA bioinformatic analysis