Identification of immune subtypes of cervical squamous cell carcinoma predicting prognosis and immunotherapy responses.

ABSTRACT:

Background

The main limitation of current immune checkpoint inhibitors (ICIs) in the treatment of cervical cancer comes from the fact that it benefits only a minority of patients. The study aims to develop a classification system to identify immune subtypes of cervical squamous cell carcinoma (SCC), thereby helping to screen candidates who may respond to ICIs.

Methods

A real-world cervical SCC cohort of 36 samples were analyzed. We used a nonnegative matrix factorization (NMF) algorithm to separate different expression patterns of immune-related genes (IRGs). The immune characteristics, potential immune biomarkers, and somatic mutations were compared. Two independent data sets containing 555 samples were used for validation.

Results

Two subtypes with different immunop

SUBMITTER: Li Y 

PROVIDER: S-EPMC8142504 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature