Immune cell infiltration-based signature for prognosis and immunogenomic analysis in breast cancer

• Published in: Briefings in bioinformatics Vol. 22; no. 2; pp. 2020 - 2031
• Main Authors: Wang, Shiyuan, Zhang, Qi, Yu, Chunlu, Cao, Yiyin, Zuo, Yongchun, Yang, Lei
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 22.03.2021; Oxford Publishing Limited (England)
• Subjects: Biomarkers; Breast cancer; Chemotherapy; Genomics; Genotypes; Immune system; Immunotherapy; Medical prognosis; Meta-analysis; Mutation; Survival; meta-analysis; overall survival; breast cancer; immunotherapy
• ISSN: 1467-5463; 1477-4054; 1477-4054
• DOI: 10.1093/bib/bbaa026

Abstract Breast cancer is one of the most human malignant diseases and the leading cause of cancer-related death in the world. However, the prognostic and therapeutic benefits of breast cancer patients cannot be predicted accurately by the current stratifying system. In this study, an immune-related prognostic score was established in 22 breast cancer cohorts with a total of 6415 samples. An extensive immunogenomic analysis was conducted to explore the relationships between immune score, prognostic significance, infiltrating immune cells, cancer genotypes and potential immune escape mechanisms. Our analysis revealed that this immune score was a promising biomarker for estimating overall survival in breast cancer. This immune score was associated with important immunophenotypic factors, such as immune escape and mutation load. Further analysis revealed that patients with high immune scores exhibited therapeutic benefits from chemotherapy and immunotherapy. Based on these results, we can conclude that this immune score may be a useful tool for overall survival prediction and treatment guidance for patients with breast cancer.