title: A Five-Gene Signature Predicts Prognosis in Patients with Kidney Renal Clear Cell Carcinoma.
abstract: Kidney renal clear cell carcinoma (KIRC) is one of the most common cancers with high mortality all over the world. Many studies have proposed that genes could be used to predict prognosis in KIRC. In this study, RNA expression data from next-generation sequencing and clinical information of 523 patients downloaded from The Cancer Genome Atlas (TCGA) dataset were analyzed in order to identify the relationship between gene expression level and the prognosis of KIRC patients. A set of five genes that significantly associated with overall survival time was identified and a model containing these five genes was constructed by Cox regression analysis. By Kaplan-Meier and Receiver Operating Characteristic (ROC) analysis, we confirmed that the model had good sensitivity and specificity. In summary, expression of the five-gene model is associated with the prognosis outcomes of KIRC patients, and it may have an important clinical significance.
authors.affiliation: School of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: Yueping
authors.initials: Y
authors.lastname: Zhan
authors.affiliation: School of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: Wenna
authors.initials: W
authors.lastname: Guo
authors.affiliation: Yangzhou Breeding Biological Agriculture Technology Co. Ltd., Yangzhou 225200, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Department of Mathematics, Shanghai University, Shanghai 200444, China.
authors.forename: Xin-jian
authors.initials: XJ
authors.lastname: Xu
authors.affiliation: School of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: Liucun
authors.initials: L
authors.lastname: Zhu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000235:genetics*; D002292:Carcinoma, Renal Cell / Q000235:genetics* / Q000401:mortality; D027682:Cation Transport Proteins / Q000235:genetics; D019295:Computational Biology; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D053208:Kaplan-Meier Estimate; D007680:Kidney Neoplasms / Q000235:genetics* / Q000401:mortality; D008297:Male; D008361:Mannosidases / Q000235:genetics; D008565:Membrane Proteins / Q000235:genetics; D008875:Middle Aged; D008957:Models, Genetic; D009713:Nucleotidyltransferases / Q000235:genetics; D011379:Prognosis; D016016:Proportional Hazards Models; D012372:ROC Curve; D000098742:Ferroportin
chemical_list: D014408:Biomarkers, Tumor; C081876:CKAP4 protein, human; D027682:Cation Transport Proteins; D008565:Membrane Proteins; C118457:OTOF protein, human; D000098742:Ferroportin; D009713:Nucleotidyltransferases; C573136:CRPPA protein, human; D008361:Mannosidases; C445059:MAN2A2 protein, human