Development and External Validation of a Novel 12-Gene Signature for Prediction of Overall Survival in Muscle-Invasive Bladder Cancer.

摘要: Purpose: We aimed to develop and validate a novel gene signature from published data improve the prediction of survival in muscle-invasive bladder cancer (MIBC). Methods: searched signatures associated with overall (OS) MIBC compiled all 274 genes signature. RNAseq TCGA (the Cancer Genome Atlas) cohort were downloaded. All included univariate Cox hazard ratio model. then used reduced multivariate regression model, which only achieving P<0.05 A total 172 patients at Fudan University Shanghai Center (FUSCC) 61 GEO datasets as an external validation set. Results: 327 enrolled. identified eight papers on OS MIBC. Using database, we 12 that correlated (P<0.05 both analyses). By integrating these RT-qPCR our dataset datasets, confirmed power for predicting 12-gene panel (AUC 0.741 0.727, respectively) was higher than just clinical (including gender, age, T stage, grade, N stage) alone FUSCC 0.667 0.631, respectively). Additionally, upon combining together, AUC increased 0.768, 0.757 0.88 TCGA, GSE13507 cohorts, respectively. Conclusions: Applying data, successfully built externally validated