Ontology highlight
ABSTRACT: Objective
Deciphering the determinants of the intralesional immune reaction in cervical carcinogenesis may be conducive to improving the understanding of the disease and then improve outcomes.Methods
Public gene-expression data and full clinical annotation were searched in Gene Expression Omnibus in the joint analysis of the array-based four eligible cohorts. The infiltrating estimation was quantified using microenvironment cell populations-counter algorithm and absolute-mode CIBERSORT and verified by flow cytometry analysis. An unsupervised classification on immune genes strongly associated with progression, designated by linear mixed-effects regression. We determined immune response and signaling features of the different developmental stages and immune phenotypes by func
SUBMITTER: Wang Y
PROVIDER: S-EPMC7982625 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature