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ABSTRACT: Objectives
This study aimed to develop and validate a hypoxia signature for predicting survival outcomes in patients with bladder cancer.Methods
We downloaded the RNA sequence and the clinicopathologic data of the patients with bladder cancer from The Cancer Genome Atlas (TCGA) (https://portal.gdc.cancer.gov/repository?facetTab=files) and the Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) databases. Hypoxia genes were retrieved from the Molecular Signatures Database (https://www.gsea-msigdb.org/gsea/msigdb/index.jsp). Differentially expressed hypoxia-related genes were screened by univariate Cox regression analysis and Lasso regression analysis. Then, the selected genes constituted the hypoxia signature and were included in multivariate Cox regression to
SUBMITTER: Zhang F
PROVIDER: S-EPMC8188560 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature