The prognostic significance of tumor-infiltrating lymphocytes in cervical cancer.

ABSTRACT:

Objective

To predict the prognosis of cervical cancer, we constructed a novel model with 5 specific cell types and identified a potential biomarker.

Methods

We employed CIBERSORT and xCell method to evaluate the abundances of 23 cells types in tumor microenvironment. Five specific cell types were filtrated to determine different immunotypes by applying least absolute shrinkage and selection operator (LASSO) Cox regression method. The expression of immune checkpoints (ICPs) and effectors were validated by immunohistochemistry. Correlation analysis was performed to examine the relevance between PIK3CA mutational status and ICPs.

Results

Unsupervised clustering of patients on the basis of tumor infiltrating lymphocytes and fibroblasts identified patients with shorter ove

SUBMITTER: He M 

PROVIDER: S-EPMC8039170 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature