Eight immune-related genes predict survival outcomes and immune characteristics in breast cancer

Aging (Albany NY). 2020 Aug 3;12(16):16491-16513. doi: 10.18632/aging.103753. Epub 2020 Aug 3.

Abstract

Advancements in immunotherapy have improved our understanding of the immune characteristics of breast cancer. Here, we analyzed gene expression profiles and clinical data obtained from The Cancer Genome Atlas database to identify genes that were differentially expressed between breast tumor tissues and normal breast tissues. Comparisons with the Immunology Database and Analysis Portal (ImmPort) indicated that many of the identified differentially expressed genes were immune-related. Risk scores calculated based on an eight-gene signature constructed from these immune-related genes predicted both overall survival and relapse-free survival outcomes in breast cancer patients. The predictive value of the eight-gene signature was validated in different breast cancer subtypes using external datasets. Associations between risk score and breast cancer immune characteristics were also identified; invitro experiments using breast cancer cell lines confirmed those associations. Thus, the novel eight-gene signature described here accurately predicts breast cancer survival outcomes as well as immune checkpoint expression and immune cell infiltration processes.

Keywords: TCGA; breast cancer; immune cell; immune checkpoint; risk score.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / immunology
  • Breast Neoplasms / mortality
  • Breast Neoplasms / therapy
  • Databases, Genetic
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks
  • Humans
  • MCF-7 Cells
  • Middle Aged
  • Predictive Value of Tests
  • Prognosis
  • Reproducibility of Results
  • Risk Assessment
  • Risk Factors
  • Signal Transduction
  • Transcriptome*
  • Tumor Microenvironment*

Substances

  • Biomarkers, Tumor