e18080 Background: Energy metabolism heterogeneity is a hallmark in ovarian cancer, namely the Warburg effect and the reverse Warburg effects coexist in ovarian cancer. Exploration of energy metabolism heterogeneity benefits for discovery of the effective biomarkers for ovarian cancers. Methods: Comprehensive analysis of mitochondrial proteomics data (1198 mitochondrial differentially expressed proteins), mitochondrial phosphorpoteomics data (67 mitochondrial phosphorproteins), proteomics data (205 differentially expressed proteins), and transcriptomics data (20115 genes in 419 ovarian cancer samples) was useful. Results: It revealed (i) the upregulations of rate-limiting enzymes PKM2 in glycolysis, IDH2 in Kreb’s cycle, and UQCRH in oxidative phosphorylation (OXPHOS) pathways, (ii) the upregulation of PDHB that converts pyruvate from glycolysis into acetyl-CoA in Kreb’s cycle. Anti-parasite drug ivermectin demonstrated its strong abilities to inhibit proliferation and cell cycle progression and promote apoptosis in EOC cells, through molecular networks to target PFKP in glycolysis, IDH2 and IDH3B in Kreb’s cycle, ND2, ND5, CYTB, and UQCRH in OXPHOS, and MCT1 and MCT4 in lactate shuttle to inhibit EOC growth. Those results were further confirmed in the ovarian cancer cell models and tissues. Conclusions: It clearly concluded that ivermectin might have new potential for ovarian cancer treatment through regulating energy metabolism pathways. These findings provide more accurate understanding of molecular mechanisms of ovarian cancers and discovery of effective energy-metabolism-heterogeneity-based therapeutic drugs for ovarian cancers.
MicroRNA targeting energy metabolism in ovarian cancer: a potent contender for future therapeutics
