Tumor Microenvironment Subtypes and Immune-Related Signatures for the Prognosis of Breast Cancer.

ABSTRACT:

Objective

To better understand the immune-related heterogeneity of tumor microenvironment (TME) and establish a prognostic model for breast cancer in clinical practice.

Methods

For the 2620 breast cancer cases obtained from The Cancer Genome Atlas and the Molecular Taxonomy of Breast Cancer International Consortium, the CIBERSORT algorithm was performed to identify the immunological pattern, which underwent consensus clustering to curate TME subtypes, and biological profiles were explored by enrichment analysis. Random forest analysis, least absolute shrinkage, and selection operator analysis, in addition to uni- and multivariate COX regression analyses, were successively employed to precisely select the significant genes with prediction values for the introduction of the pr

SUBMITTER: Han Y 

PROVIDER: S-EPMC8189770 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature