Unknown

Dataset Information

Immunogenomic landscape analyses of immune molecule signature-based risk panel for patients with triple-negative breast cancer


ABSTRACT: Triple-negative breast cancer (TNBC) presented as high heterogeneous immunogenicity that lacks useful clinical signatures to risk-stratify immune-benefit subtypes. We hypothesized that molecular-based phenotypic characterization of TNBC tumors and their immunity may overcome these challenges. We enrolled 1,145 patients with TNBC for analysis. Through combining algorithm integration analysis and TNBC datasets, a tumor immune risk score (TIRS) panel consisting of 8 potential biomarkers was identified. The TIRS panel represented excellent effectiveness as an independent predictor. High- and low risk stratification of patients was further achieved by TIRS, and significant survival and immune-infiltration pattern differences were found in each cohort, both at the transcriptome and protein level

SUBMITTER: Liu C 

PROVIDER: S-EPMC9123090 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature