An immune cell infiltration-based immune score model predicts prognosis and chemotherapy effects in breast cancer.

ABSTRACT: Background: Immune cells have essential auxiliary functions and influence clinical outcomes in cancer, with high immune infiltration being associated with improved clinical outcomes and better response to treatment in breast cancer (BC). However, studies to date have not fully considered the tumor-infiltrating immune cell (TIIC) landscape in tumors. This study investigated potential biomarkers based on TIICs to improve prognosis and treatment effect in BC. Results: We enrolled 5112 patients for analysis and used cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT), a new computational algorithm, to quantify 22 TIICs in primary BC. From the results of univariate Cox regression, 12 immune cells were determined to be significantly related to the

SUBMITTER: Sui S 

PROVIDER: S-EPMC7667685 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature