A prognostic model for breast cancer survival based on PCD and m6A gene interactions.

ABSTRACT:

Introduction

Breast cancer (BC) is the most prevalent malignancy in women, with patient outcomes heavily influenced by complex molecular mechanisms like programmed cell death (PCD) and RNA methylation. While some studies have investigated how specific PCD types and N6-methyladenosine-related genes (m6A-RGs) are associated with breast cancer, the research on combined PCD mechanisms and their role in breast cancer development is limited. This study integrates PCD-related genes (PCD-RGs) and m6A-RGs to offer new insights for breast cancer clinical treatment.

Methods

Transcriptomic data and related genes were respectively retrieved from public databases and published literature. First, PCD-m6A genes identified through the correlation scoring and differentially expressed genes we

SUBMITTER: Li W 

PROVIDER: S-EPMC12675348 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature