# The Landscape of Ferroptosis-Related Gene Signatures as Molecular Stratification in Triple-Negative Breast Cancer

**Authors:** Marko Buta, Nikola Jeftic, Irina Besu, Jovan Raketic, Ivan Markovic, Ana Djuric, Nina Petrovic, Tatjana Srdic-Rajic

PMC · DOI: 10.3390/diagnostics16030379 · Diagnostics · 2026-01-23

## TL;DR

This study explores how ferroptosis-related genes differ in triple-negative breast cancer subtypes, finding that aggressive basal-like tumors show unique gene patterns linked to poor outcomes.

## Contribution

The study identifies a ferroptosis-related gene signature and index specific to basal-like triple-negative breast cancer subtypes.

## Key findings

- Basal-like tumors show a strong ferroptosis-associated transcriptional shift with upregulated ACSL4 and EZH2 and downregulated AR, GPX4, and CIRBP.
- Sixteen ferroptosis-related genes are linked to overall survival, forming a prognostic signature.
- Ferroptosis markers are expressed across cancer epithelial, stromal, and myeloid populations in single-cell analysis.

## Abstract

Background: Triple-negative breast cancer (TNBC) represents the most aggressive breast cancer subtype, characterized by high genomic instability, metabolic stress, and limited therapeutic options. Ferroptosis, an iron-dependent form of regulated cell death, has emerged as a promising vulnerability in TNBC, yet its subtype-specific regulatory landscape remains insufficiently defined. Methods: Using transcriptomic (METABRIC, TCGA, GEO) and proteomic (CPTAC) datasets, ferroptosis-related genes were profiled across PAM50 breast cancer subtypes. Differential expression, univariate Cox regression, LASSO modeling, survival analyses, GSEA, and dimensionality reduction (PCA, t-SNE) were applied. A Ferroptosis Index (FI) was calculated using β-coefficients from the Cox/LASSO regression model. Single-cell RNA-seq data was used to map ferroptosis-associated signature across tumor and microenvironmental compartments. Results: Basal-like tumors exhibited the strongest ferroptosis-associated transcriptional shift, characterized by upregulation of ACSL4 and EZH2 and downregulation of AR, GPX4, and CIRBP. Sixteen ferroptosis-related genes were associated with overall survival, forming a ferroptosis-associated signature. The FI was significantly higher in Basal-like tumors, indicating elevated ferroptosis-associated transcriptional state. GSEA revealed enrichment of cell cycle, mitotic, cytoskeletal, and metabolic stress pathways. Single-cell analysis demonstrated expression of ferroptosis markers across cancer epithelial, stromal, and myeloid populations. Conclusions: Basal-like tumors harbor a distinct ferroptosis-associated transcriptional state linked to tumor aggressiveness and poor prognosis. These findings provide a biologically grounded framework for ferroptosis-related stratification and support future functional and translational studies targeting ferroptosis vulnerabilities in aggressive breast cancer.

## Linked entities

- **Genes:** ACSL4 (acyl-CoA synthetase long chain family member 4) [NCBI Gene 2182], EZH2 (enhancer of zeste 2 polycomb repressive complex 2 subunit) [NCBI Gene 2146], AR (androgen receptor) [NCBI Gene 367], GPX4 (glutathione peroxidase 4) [NCBI Gene 2879], CIRBP (cold inducible RNA binding protein) [NCBI Gene 1153]
- **Diseases:** triple-negative breast cancer (MONDO:0005494), breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** CIRBP (cold inducible RNA binding protein) [NCBI Gene 1153] {aka CIRP}, GPX4 (glutathione peroxidase 4) [NCBI Gene 2879] {aka GPx-4, GSHPx-4, MCSP, PHGPx, SMDS, snGPx}, ACSL4 (acyl-CoA synthetase long chain family member 4) [NCBI Gene 2182] {aka ACS4, FACL4, LACS4, MRX63, MRX68, XLID63}, EZH2 (enhancer of zeste 2 polycomb repressive complex 2 subunit) [NCBI Gene 2146] {aka ENX-1, ENX1, EZH2b, KMT6, KMT6A, WVS}
- **Diseases:** breast cancer (MESH:D001943), TNBC (MESH:D064726), Basal-like tumors (MESH:D009369)
- **Chemicals:** iron (MESH:D007501)

## Full text

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## Figures

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## References

64 references — full list in the complete paper: https://tomesphere.com/paper/PMC12896675/full.md

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Source: https://tomesphere.com/paper/PMC12896675