ArticleJournal of translational medicine2024
Inverse FASN and LDHA correlation drives metabolic resistance in breast cancer.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Review
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- Computational Repurposing of Asparagus racemosus and Withania somnifera for Postpartum Depression: Insights into MAO-A and Inflammatory Signaling Modulation.Cell biochemistry and biophysics · 2026Article
- Metabolic Vulnerabilities as a Therapeutic Target in Breast Cancer.Current oncology (Toronto, Ont.) · 2026Review
- Immune evasion driven by lipid metabolic reprogramming in endocrine-resistant HRFrontiers in immunology · 2026Review
- FmH2ST: foundation model-based spatial transcriptomics generation from histological images.Nucleic acids research · 2025Article
- Lactate dehydrogenase A: a potential new target for tumor drug resistance intervention.Journal of translational medicine · 2025Review
- Warburg effect and lactylation in cancer: mechanisms for chemoresistance.Molecular medicine (Cambridge, Mass.) · 2025Review
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Authors and funding
19 authors.
Funding
Abstract
backgroundBreast cancer manifests as a heterogeneous pathology marked by complex metabolic reprogramming essential to satisfy its energy demands. Oncogenic signals boost the metabolism, modifying fatty acid synthesis and glucose use from the onset to progression and therapy resistant-forms. However, the exact contribution of metabolic dependencies during tumor evolution remains unclear.
methodsIn this study, we elucidate the connection between FASN and LDHA, pivotal metabolic genes, and their correlation with tumor grade and therapy response using datasets from public repositories. Subsequently, we evaluated the metabolic and proliferative functions upon FASN and LDHA inhibition in breast cancer models. Lastly, we integrated metabolomic and lipidomic analysis to define the contributions of metabolites, lipids, and precursors to the metabolic phenotypes.
resultsCollectively, our findings indicate metabolic shifts during breast cancer progression, unvealling two distinct functional energy phenotypes associated with aggressiveness and therapy response. Specifically, FASN exhibits reduced expression in advance-grade tumors and therapy-resistant forms, whereas LDHA demonstrates higher expression. Additionally, the biological and metabolic impact of blocking the enzymatic activity of FASN and LDHA was correlated with resistant conditions.
conclusionsThese observations emphasize the intrinsic metabolic heterogeneity within breast cancer, thereby highlighting the relevance of metabolic interventions in the field of precision medicine.
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