Ontology highlight
ABSTRACT: Objective
Breast cancer is the most common malignancy in women and is characterized by a high recurrence rate that severely impacts patient survival. Regulatory T cells (Tregs) in the tumor microenvironment (TME) promote immune evasion and metastasis, increasing recurrence risk. This study determined how the epigenetic regulators, DNMT3A and METTL7A, modulate Treg infiltration via the DDR1/STAT3/CXCL5 axis and influence breast cancer recurrence and prognosis.Methods
RNA sequencing (RNA-seq) was used to identify differentially expressed genes (DEGs), followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Machine learning algorithms, including least absolute shrinkage and selection operator (LASSO), supported vector machine
SUBMITTER: Bai Z
PROVIDER: S-EPMC12911440 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature