Establishment and evaluation of module-based immune-associated gene signature to predict overall survival in patients of colon adenocarcinoma.

ABSTRACT:

Background

Patients with colon adenocarcinoma (COAD) exhibit significant heterogeneity in overall survival. The current tumor-node-metastasis staging system is insufficient to provide a precise prediction for prognosis. Identification and evaluation of new risk models by using big cancer data may provide a good way to identify prognosis-related signature.

Methods

We integrated different datasets and applied bioinformatic and statistical methods to construct a robust immune-associated risk model for COAD prognosis. Furthermore, a nomogram was constructed based on the gene signature and clinicopathological features to improve risk stratification and quantify risk assessment for individual patients.

Results

The immune-associated risk model discriminated high-risk patient

SUBMITTER: Lu J 

PROVIDER: S-EPMC9563160 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature