Unknown

Dataset Information

Identification of a 5-gene-based signature to predict prognosis and correlate immunomodulators for rectal cancer.


ABSTRACT:

Background

Specific tumor markers have yet to be identified in rectal cancer. This study aims to identify a novel genetic signature in rectal cancer to provide clues for survival and immunotherapy.

Methods

DEGs were obtained from two GEO datasets of rectal cancer. By using data from TCGA and GSE133057, two cohorts of rectal cancer were applied to establish and evaluate the signature. A nomogram was constructed for training and validation. We integrated the risk-score with clinicopathological features and assessed its interplay with immune cells and molecules. Finally, our study performed functional annotations, gene-targeted miRNAs, and single-cell analysis.

Results

A total of 468 DEGs were identified, and a signature consisting of 5 genes (CLIC5, ENTPD8, PACSIN3, HGD

SUBMITTER: Yi L 

PROVIDER: S-EPMC9493070 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature