Unveiling heterogeneity and prognostic markers in ductal breast cancer through single-cell RNA-seq.

ABSTRACT:

Background

Breast cancer (BC) is a heterogeneous disease, with the ductal subtype exhibiting significant cellular diversity that influences prognosis and response to treatment. Single-cell RNA sequencing data from the GEO database were utilized in this study to investigate the underlying mechanisms of cellular heterogeneity and to identify potential prognostic markers and therapeutic targets.

Methods

Bioinformatics analysis was conducted using R packages to analyze the single-cell sequencing data. The presence of highly variable genes and differences in malignant potency within the same BC samples were examined. Differential gene expression and biological function between Type 1 and Type 2 ductal epithelial cells were identified. Lasso regression and Cox proportional hazards

SUBMITTER: Hou J 

PROVIDER: S-EPMC11282761 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature