101. Molecular characterization of breast cancer cell response to metabolic drugs
- Author
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Guillermo Prado-Vázquez, Lucía Trilla-Fuertes, Paloma Main, Pedro Arias, Andrea Zapater-Moros, Jaime Feliu, Jorge M. Arevalillo, Hilario Navarro, S Llorente-Armijo, Rosa Aras-López, Angelo Gámez-Pozo, Irene Dapía, Juan Ángel Fresno Vara, Mariana Díaz-Almirón, Alberto M. Borobia, Enrique Espinosa, Paolo Nanni, Rocío López-Vacas, University of Zurich, and Fresno Vara, Juan Ángel
- Subjects
0301 basic medicine ,Cell ,flux balance analysis ,610 Medicine & health ,10071 Functional Genomics Center Zurich ,Pharmacology ,Biology ,Proteomics ,03 medical and health sciences ,Breast cancer ,breast cancer ,proteomics ,medicine ,Viability assay ,chemistry.chemical_classification ,perturbation experiments ,Cancer ,Metabolism ,Cell cycle ,medicine.disease ,Metformin ,Flux balance analysis ,030104 developmental biology ,Enzyme ,medicine.anatomical_structure ,Oncology ,chemistry ,Cancer research ,570 Life sciences ,biology ,2730 Oncology ,Flux (metabolism) ,metabolism ,medicine.drug ,Research Paper - Abstract
Metabolic reprogramming is a hallmark of cancer. We and other authors have previously shown that breast cancer subtypes present metabolism differences. In this study, breast cancer cell lines were treated with metformin and rapamycin. The response was heterogeneous across various breast cancer cells, leading to cell cycle disruption in specific conditions. The molecular effects of these treatments were characterized using sublethal doses, SNP genotyping and mass spectrometry-based proteomics. Protein expression was analyzed using probabilistic graphical models, showing that treatments elicit various responses in some biological processes, providing insights into cell responses to metabolism drugs. Moreover, a flux balance analysis approach using protein expression values was applied, showing that predicted growth rates were comparable with cell viability measurements and suggesting an increase in reactive oxygen species response enzymes due to metformin treatment. In addition, a method to assess flux differences in whole pathways was proposed. Our results show that these various approaches provide complementary information, which can be used to suggest hypotheses about the drugs’ mechanisms of action and the response to drugs that target metabolism.
- Published
- 2017