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Dataset Information

Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer.


ABSTRACT:

Objective

Bladder cancer (BC) is one of the top ten cancers endangering human health but we still lack accurate tools for BC patients' risk stratification. This study aimed to develop an autophagy-related signature that could predict the prognosis of BC. In order to provide clinical doctors with a visual tool that could precisely predict the survival probability of BC patients, we also attempted to establish a nomogram based on the risk signature.

Methods

We screened out autophagy-related genes (ARGs) combining weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) in BC. Based on the screened ARGs, we performed survival analysis and Cox regression analysis to identify potential prognostic biomarkers. A risk signature based on the progno

SUBMITTER: Yan X 

PROVIDER: S-EPMC8252967 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature