A Novel Prognostic Prediction Model Based on Pyroptosis-Related Clusters for Breast Cancer.

ABSTRACT: Breast cancer (BC) is the most common cancer affecting women and the leading cause of cancer-related deaths worldwide. Compelling evidence indicates that pyroptosis is inextricably involved in the development of cancer and may activate tumor-specific immunity and/or enhance the effectiveness of existing therapies. We constructed a novel prognostic prediction model for BC, based on pyroptosis-related clusters, according to RNA-seq and clinical data downloaded from TCGA. The proportions of tumor-infiltrating immune cells differed significantly in the two pyroptosis clusters, which were determined according to 38 pyroptosis-related genes, and the immune-related pathways were activated according to GO and KEGG enrichment analysis. A 56-gene signature, constructed using univariate and multivari

SUBMITTER: Tian B 

PROVIDER: S-EPMC9865451 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature