A novel 12-gene prognostic signature in breast cancer based on the tumor microenvironment.

ABSTRACT:

Background

The progression of breast cancer (BC) is highly dependent on the tumor microenvironment. Inflammation, stromal cells, and the immune landscape have been identified as significant drivers of BC in multiple preclinical studies. Therefore, this study aimed to clarify the predictive relevance of stromal and immune cell-associated genes in patients suffering from BC.

Methods

We employed the estimation of stromal and immune cells in malignant tumor tissues using expression data (ESTIMATE) algorithm to calculate the stromal and immunological scores, which were then used to evaluate differentially expressed genes (DEGs) in BC samples using The Cancer Genome Atlas (TCGA) database. Univariate analyses were conducted to identify the DEGs linked to survival in BC patients. Ne

SUBMITTER: Zhu J 

PROVIDER: S-EPMC8904996 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature