TNBC Single-Cell RNA-seq Metastasis Analysis

Comprehensive scRNA-seq analysis of triple-negative breast cancer (TNBC) using patient-derived single-cell transcriptomic data (GSE118389).

🔬 Project Goal

Identify metastatic subpopulations and molecular drivers of metastasis using single-cell RNA sequencing (scRNA-seq).

📌 Key Results

• 908 high-quality TNBC cells analyzed

• 16 transcriptionally distinct clusters

• 3 metastasis signatures applied (Arteaga, MammaPrint, Werb)

• 25% of cells classified as high-metastasis

• 710 differentially expressed genes

• ECM remodeling & immune evasion identified as major pathways

• Six candidate therapeutic targets identified

🧰 Tools Used

• R 4.3.1

• Seurat 4.4

• ggplot2, patchwork

• clusterProfiler

• EnhancedVolcano

📚 Dataset

GEO Accession: GSE118389 Karaayvaz et al., Nature Communications (2018)