Unknown

Dataset Information

Identification of endothelial-related molecular subtypes for bladder cancer patients.


ABSTRACT:

Background

Bladder cancer (BC) is a disease with significant heterogeneity and poor prognosis. The prognosis and therapeutic response of BC patients are significantly influenced by endothelial cells in the tumor microenvironment. In order to understand BC from the perspective of endothelial cells, we orchestrated molecular subtypes and identified key genes.

Methods

Single-cell and bulk RNA sequencing data were extracted from online databases. R and its relative packages were used to analyze these data. Cluster analysis, prognostic value analysis, function analysis, immune checkpoints, tumor immune environment and immune prediction were conducted.

Results

Five endothelial-related genes (CYTL1, FAM43A, HSPG2, RBP7, and TCF4) divided BC patients in the TCGA, GSE13507, an

SUBMITTER: Li DX 

PROVIDER: S-EPMC10070733 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature