1. Inverse FASN and LDHA correlation drives metabolic resistance in breast cancer
- Author
-
Chiara Papulino, Ugo Chianese, Ahmad Ali, Gregorio Favale, Concetta Tuccillo, Fortunato Ciardiello, Annabella Di Mauro, Chiara Mignogna, Gerardo Ferrara, Alfredo Budillon, Wouter Leonard Megchelenbrink, Nunzio Del Gaudio, Mariarosaria Conte, Fabrizio Merciai, Pietro Campiglia, Lucia Altucci, Vincenzo Carafa, Eduardo Sommella, and Rosaria Benedetti
- Subjects
Breast cancer ,FASN ,LDHA ,Metabolism ,Tamoxifen resistance ,Medicine - Abstract
Abstract Background Breast 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. Methods In 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. Results Collectively, 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. Conclusions These observations emphasize the intrinsic metabolic heterogeneity within breast cancer, thereby highlighting the relevance of metabolic interventions in the field of precision medicine.
- Published
- 2024
- Full Text
- View/download PDF