Integrative analysis of efferocytosis- and invasion-related genes as potential biomarkers and therapeutic targets in breast cancer.

ABSTRACT: Breast cancer remains a primary source of cancer-related mortality among females worldwide. This investigation sought to evaluate the distinctive expression patterns of genes linked to efferocytosis and invasion in breast cancer and their prognostic implications. Through bioinformatics analyses, a robust prognostic risk modelwas developed. Breast cancer datasets were procured and processed from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and GeneCards databases. Differential expression analysis was executed utilizing DESeq2, identifying genes with|logFC| >1 and p-value < 0.05. Efferocytosis-related genes and invasion-related genes were curated from GeneCards and PubMed, resulting in 127 overlapping genes. A prognostic risk model was developed utilizing univariate Cox reg

SUBMITTER: Yang J 

PROVIDER: S-EPMC12325836 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature