A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration.

ABSTRACT:

Background

Apoptosis-related genes (ARGs) were used to develop a novel signature for forecasting overall survival (OS) and examining their relationships with immune infiltrates in bladder cancer (BC).

Methods

Gene expression matrices as well as related clinical data were acquired for BC samples from online datasets. According to differentially expressed ARGs acquired from normal bladder tissues and cancer samples, functional enrichment analyses were conducted. With the assistance of LASSO and Cox regression analysis, a novel model was successfully established and evaluated by external and internal validations.

Results

Eventually, 17 ARGs (SLC5A6, GULP1, TAP1, MMP9, P4HB, FOXL2, CIDEC, EN2, NES, EPHA7, SUSD2, TMPRSS3, HOXB7, SATB1, MEST, PCDHGC3, ASPM) were utilized to

SUBMITTER: Wang Y 

PROVIDER: S-EPMC9647203 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature