Metabolic and Oxidative Stress Management Heterogeneity in a Panel of Breast Cancer Cell Lines.
Paola Maycotte-GonzálezFabiola Lilí Sarmiento-SalinasAlin García-MirandaCesar Ivan Ovando-OvandoDiana Xochiquetzal Robledo-CadenaLuz Hernández-EsquivelRicardo Jasso-ChávezÁlvaro Marín-HernándezPublished in: Metabolites (2024)
Metabolic alterations are recognized as one of the hallmarks of cancer. Among these, alterations in mitochondrial function have been associated with an enhanced production of Reactive Oxygen Species (ROS), which activate ROS-regulated cancer cell signaling pathways. Breast cancer is the main cancer-related cause of death for women globally. It is a heterogeneous disease with subtypes characterized by specific molecular features and patient outcomes. With the purpose of identifying differences in energy metabolism and the oxidative stress management system in non-tumorigenic, estrogen receptor positive (ER+) and triple negative (TN) breast cancer cells, we evaluated ROS production, protein enzyme levels and activities and profiled energy metabolism. We found differences in energetic metabolism and ROS management systems between non-tumorigenic and cancer cells and between ER+ and TN breast cancer cells. Our results indicate a dependence on glycolysis despite different glycolytic ATP levels in all cancer cell lines tested. In addition, our data show that high levels of ROS in TN cells are a result of limited antioxidant capacity in the NADPH producing and GSH systems, mitochondrial dysfunction and non-mitochondrial ROS production, making them more sensitive to GSH synthesis inhibitors. Our data suggest that metabolic and antioxidant profiling of breast cancer will provide important targets for metabolic inhibitors or antioxidant treatments for breast cancer therapy.
Keyphrases
- reactive oxygen species
- oxidative stress
- dna damage
- breast cancer cells
- estrogen receptor
- induced apoptosis
- cell death
- cancer therapy
- papillary thyroid
- signaling pathway
- ischemia reperfusion injury
- diabetic rats
- cell cycle arrest
- electronic health record
- polycystic ovary syndrome
- big data
- transcription factor
- breast cancer risk
- machine learning
- squamous cell carcinoma
- childhood cancer
- anti inflammatory
- pregnant women
- squamous cell
- type diabetes
- fluorescent probe
- artificial intelligence
- cell proliferation
- adipose tissue
- insulin resistance
- binding protein
- protein protein