Patient stratification based on urea cycle metabolism for exploration of combination immunotherapy in colon cancer.

ABSTRACT:

Background

Owing to the low ratio of patients benefitting from immunotherapy, patient stratification becomes necessary. An accurate patient stratification contributes to therapy for different tumor types. Therefore, this study aimed to subdivide colon cancer patients for improved combination immunotherapy.

Methods

We characterized the patients based on urea cycle metabolism, performed a consensus clustering analysis and constructed a risk model in the cancer genome atlas cohort. Colon cancer patients were further categorized into two tags: clusters, and risk groups, for the exploration of combination immunotherapy. In addition to external validation in the Gene Expression Omnibus datasets, several images of immunohistochemistry were used for further validation.

Results

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC9375340 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature