ArticleTranslational cancer research2025
Intratumoral disulfidptosis heterogeneity in triple-negative breast cancer, a multiomics integration analysis.
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Review
- Development and validation of explainable machine learning models for the prediction of survival in patients with M1 breast cancer.Gland surgery · 2026Article
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Authors and funding
4 authors.
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Abstract
Background: Triple-negative breast cancer (TNBC) is characterized by heterogeneity and metabolic reprogramming. Disulfidptosis represents a new category of regulated cell death that is mediated by cystine and cysteine metabolism. However, the underlying mechanism related to the heterogeneity of TNBC disulfidptosis remains unclear. In this study, we aimed to analyze whether disulfidptosis exhibits heterogeneity in TNBC. Methods: Initial molecular subtyping was performed via K-means clustering. Subsequent subtype characterization included enrichment analysis, differential activity score (DA score) analysis, and Results: Through bioinformatics analysis of a TNBC multiomic dataset (n=465), we divided TNBCs into two disulfidptosis-related subtypes: cluster 1 and cluster 2. Compared with cluster 2, cluster 1 had an activated pentose phosphate pathway, an immunosuppressive microenvironment and a poor prognosis. We further confirmed that TNBC cell lines in cluster 1 were more sensitive to disulfidptosis induced by glucose deprivation or the inhibition of Conclusions: Taken together, our research demonstrated the heterogeneity of TNBC disulfidptosis and presented a promising treatment strategy for targeting disulfidptosis in TNBC.
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