title: The Generation and Validation of a 20-Genes Model Influencing the Prognosis of Colorectal Cancer.
abstract: Colorectal cancer is a common malignant tumor with high incidence affecting the digestive system. This study aimed to identify the key genes relating to prognosis of colorectal cancer and to construct a prognostic model for its risk evaluation. Gene expression profiling of colorectal cancer patients, GSE17537, was downloaded from Gene Expression Omnibus database (GEO). A total of 55 samples from patients ranging from stages 1 to 4 were available. Differentially expressed genes were screened, with which single factor survival analysis was performed to identify the response genes. Interacting network and KEGG enrichment analysis of responsive genes were performed to identify key genes. In return, Fisher enrichment analysis, literature mining, and Kaplan-Meier analysis were used to verify the effectiveness of the prognostic model. The 20-gene model generated in this study posed significant influences on the prognoses (P = 9.691065e-09). Significance was verified via independent dataset GSE38832 (P = 9.86581e-07) and GSE17536 (P = 2.741e-08). The verified effective 20-gene model could be utilized to predict prognosis of patients with colorectal cancer and would contribute to post-operational treatment and follow-up strategies. J. Cell. Biochem. 118: 3675-3685, 2017. © 2017 Wiley Periodicals, Inc.
authors.affiliation: Department of General Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
authors.forename: Xiao-Jun
authors.initials: XJ
authors.lastname: Xie
authors.affiliation: Department of Pathology, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
authors.forename: Ping
authors.initials: P
authors.lastname: Liu
authors.affiliation: Department of General Surgery, Shantou Central Hospital, Shantou, China.
authors.forename: Chu-Dong
authors.initials: CD
authors.lastname: Cai
authors.affiliation: Department of Anorectal Surgery, Shantou Hospital of TCM, Shantou, China.
authors.forename: Ying-Ru
authors.initials: YR
authors.lastname: Zhuang
authors.affiliation: Intensive Care Unit, Hubei Cancer Hospital, Wuhan, China.
authors.forename: Li
authors.identifier: 0000-0002-3196-6188
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Division of Gastrointestinal Surgery, Department of General Surgery, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, China.
authors.forename: Hai-Wen
authors.initials: HW
authors.lastname: Zhuang
mesh_terms: D015179:Colorectal Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000401:mortality*; D030541:Databases, Genetic; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008957:Models, Genetic
keywords: COLORECTAL CANCER; DIFFERENTIALLY EXPRESSED GENES; FISHER ENRICHMENT TEST; KEGG ENRICHMENT ANALYSIS; PROGNOSTIC MODEL