Construction of molecular subtypes and prognostic model for breast cancer based on sulfur metabolism-related genes.

ABSTRACT:

Background

Sulfur metabolism plays a crucial role in the initiation and progression of cancer. Our objective is to elucidate the molecular diversity inherent in breast cancer and to develop a predictive index grounded in sulfur metabolism-related genes (SMRGs).

Methods

We acquired transcriptomic and clinical datasets pertaining to breast cancer from publicly accessible repositories. Consensus clustering analysis was used to classify SMRGs in breast cancer into molecular subtypes. To pinpoint characteristic genetic markers and assemble a risk stratification model, we executed differential expression profiling, along with univariate and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analyses. Supplementary assessments encompassed gene set enrichment stu

SUBMITTER: Lu J 

PROVIDER: S-EPMC12268877 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature