Construction of a prognostic signature associated with liver metastases for prognosis and immune response prediction in colorectal cancer.

ABSTRACT:

Background

As the most common gastrointestinal malignancy worldwide, liver metastases occur in half colorectal cancer (CRC) patients. Early detection can help treat them early and reduce mortality in patients with colorectal cancer liver metastases (CRLM). Finding useful biomarkers for CRLM is thus essential.

Methods

The TCGA and GEO databases were used to download the expression profiles and clinical data of the patients. Differential analysis screened for genes associated with CRLM, and univariate Cox regression analysis identified genes associated with prognosis. The least absolute shrinkage and selection operator (LASSO) method further preferred genes to construct a prognostic signature. Kaplan-Meier survival curves were used to show patients' overall survival (OS). Rece

SUBMITTER: Liu C 

PROVIDER: S-EPMC10411999 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature