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Dataset Information

Identification of molecular subtypes and prognostic risk model of glucocorticoid-related lncRNAs in bladder cancer to evaluate prognosis and immunological characteristics.


ABSTRACT:

Background

Bladder cancer (BC) heterogeneity presents significant challenges in prognosis and personalized therapy. Long non-coding RNAs (lncRNAs) have been increasingly considered to be critical regulatory elements in tumor biology, and glucocorticoids exert complex effects on tumor biology. This investigation aimed to recognize glucocorticoid-related lncRNAs (GR-lncRNAs) and construct a prognostic signature for BC, elucidating their roles in subtype identification, prognosis, and immune characteristics.

Methods

We retrieved messenger RNA (mRNA) expression profiles, mutation information, and clinical data for BC from The Cancer Genome Atlas (TCGA) repository. Glucocorticoid-associated genes were identified from GeneCards. Differentially expressed GR-lncRNAs were screened em

SUBMITTER: Yu L 

PROVIDER: S-EPMC12603836 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature