Single-cell RNA sequencing identifies potential critical prognostic biomarkers in bladder carcinoma.

ABSTRACT: To identify genetic markers that can predict the prognosis of bladder carcinoma (BC) patients using single-cell RNA sequencing (scRNA-seq). The RNA-seq data for BC were obtained from the GSA-Human database (HRA000212). Quality control and normalization were performed using the Seurat package, followed by identification of highly variable genes. Cell clustering and annotation were based on these genes. Functional enrichment analyses (GO and KEGG) were conducted, along with cell-cell communication and trajectory analysis. Prognostic modeling was performed using LASSO-Cox regression, with Receiver Operating Characteristic (ROC) analysis for risk group evaluation. Gene expression validation was carried out via RT-qPCR and western blotting in normal (SV-HUC-1) and BC cell lines (T24, J82, EJ, U

SUBMITTER: Zhao S 

PROVIDER: S-EPMC12595060 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature