10.3389/fonc.2019.00856.s001
MierXiati Abudurexiti
MierXiati
Abudurexiti
Huyang Xie
Huyang
Xie
Zhongwei Jia
Zhongwei
Jia
Yiping Zhu
Yiping
Zhu
Yao Zhu
Yao
Zhu
Guohai Shi
Guohai
Shi
Hailiang Zhang
Hailiang
Zhang
Bo Dai
Bo
Dai
Fangning Wan
Fangning
Wan
Yijun Shen
Yijun
Shen
Dingwei Ye
Dingwei
Ye
Data_Sheet_1_Development and External Validation of a Novel 12-Gene Signature for Prediction of Overall Survival in Muscle-Invasive Bladder Cancer.docx
Frontiers
2019
muscle-invasive bladder cancer
gene signature
overall survival
prognosis
TCGA
2019-09-06 13:50:36
Dataset
https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Development_and_External_Validation_of_a_Novel_12-Gene_Signature_for_Prediction_of_Overall_Survival_in_Muscle-Invasive_Bladder_Cancer_docx/9778673
<p>Purpose: We aimed to develop and validate a novel gene signature from published data and improve the prediction of survival in muscle-invasive bladder cancer (MIBC).</p><p>Methods: We searched the published gene signatures associated with the overall survival (OS) of MIBC and compiled all 274 genes to develop a novel gene signature. RNAseq data of TCGA (the Cancer Genome Atlas) bladder cohort were downloaded. All genes were included in a univariate Cox hazard ratio model. We then used a reduced multivariate Cox regression model, which included only genes achieving P < 0.05 in the univariate model. A total of 172 patients at Fudan University Shanghai Cancer Center (FUSCC) and 61 patients from GEO datasets were used as an external validation set.</p><p>Results: A total of 327 patients in the TCGA cohort were enrolled. We identified 274 genes from eight published papers on the OS of MIBC. Using the TCGA database, we identified 12 genes that correlated with OS (P < 0.05 in both univariate and multivariate analyses). By integrating these genes with the RT-qPCR data in our validation dataset and GEO datasets, we confirmed that the power for predicting OS of the 12-gene panel (AUC of 0.741 and 0.727, respectively) was higher than just clinical data (including gender, age, T stage, grade, and N stage) alone in the TCGA and FUSCC cohort (AUC of 0.667 and 0.631, respectively). Additionally, upon combining the clinical data and 12-gene panel together, the AUC increased to 0.768, 0.757, and 0.88 in the TCGA, FUSCC and GSE13507 cohorts, respectively.</p><p>Conclusions: Applying published gene signatures and TCGA data, we successfully built and externally validated a novel 12-gene signature for the survival of MIBC.</p>Brief Explanation<p>We systemically reviewed all published prognostic gene signatures of muscle-invasive bladder cancer (MIBC) and integrated the genes in the TCGA MIBC cohort. This new gene panel was validated in a newly established MIBC cohort in GEO and FUSCC. This method can help update the previous established panels in a new way.</p>