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Dataset Information

Identification and validation of a novel 17 coagulation-related genes signature for predicting prognostic risk in colorectal cancer.


ABSTRACT:

Background

Patients with colorectal cancer commonly experience disturbances in coagulation homeostasis. Activation of the coagulation system contributes to cancer-associated thrombosis as the second risk factor for death in cancer patients. This study intended to discover coagulation-related genes and construct a risk model for colorectal cancer patients' prognosis.

Methods

Coagulation-related genes were identified by searching coagulation-related pathways in the Molecular Signatures Database. Transcriptomic data and clinical data were downloaded from the Cancer Genome Atlas and Gene Expression Omnibus datasets. Univariate Cox and backward stepwise regression were utilized to identify prognosis-related genes and construct a predictive risk model for the training cohort. Next

SUBMITTER: Jin T 

PROVIDER: S-EPMC11233961 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature