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

Authors :
Wang, Shiyuan
Zhang, Qi
Yu, Chunlu
Cao, Yiyin
Zuo, Yongchun
Yang, Lei
Source :
Briefings in Bioinformatics. Mar2021, Vol. 22 Issue 2, p2020-2031. 12p.
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14675463
Volume :
22
Issue :
2
Database :
Academic Search Index
Journal :
Briefings in Bioinformatics
Publication Type :
Academic Journal
Accession number :
149507086
Full Text :
https://doi.org/10.1093/bib/bbaa026