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Dataset Information

Identification and validation of a novel prognostic model based on platinum Resistance-related genes in bladder cancer.


ABSTRACT:

Background

The depth of response to platinum in urothelial neoplasm tissues varies greatly. Biomarkers that have practical value in prognosis stratification are increasingly needed. Our study aimed to select a set of BC (bladder cancer)-related genes involved in both platinum resistance and survival, then use these genes to establish the prognostic model.

Materials and methods

Platinum resistance-related DEGs (differentially expressed genes) and tumorigenesis-related DEGs were identified. Ten most predictive co-DEGs were acquired followed by building a risk score model. Survival analysis and ROC (receiver operating characteristic) plot were used to evaluate the predictive accuracy. Combined with age and tumor stages, a nomogram was generated to create a graphical representat

SUBMITTER: Hao Y 

PROVIDER: S-EPMC9881817 | biostudies-literature | 2023 Jan-Feb

REPOSITORIES: biostudies-literature