Identification of an immune classification for cervical cancer and integrative analysis of multiomics data.

ABSTRACT:

Background

To understand the molecular mechanisms of the antitumour response, we analysed the immune landscape of cervical cancer to identify novel immune molecular classes.

Methods

We established a stable immune molecular classification using a nonnegative matrix factorization algorithm and validated the correlation in two validation sets of 249 samples.

Results

Approximately 78% of cervical cancers (CCs) (228/293) were identified to show significant enrichment in immune cells (e.g., CD8 T cells and macrophages), a type I IFN response, enhanced cytolytic activity and high PDCD1, and these CCs were referred to as the "immune class". We further identified two subtypes of the immune class: active immune and exhausted subtypes. Although the active immune subtype was char

SUBMITTER: Lyu X 

PROVIDER: S-EPMC8111986 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature