Metabolic Reprogramming and Lipophagy Mediates Survival of Ascites Derived Metastatic Ovarian Cancer Cells.

OBJECTIVE: The study was aimed at understanding the survival of metastatic ovarian cancer spheroids in the malignant ascites microenvironment. METHODS: All the assays were performed using aseptically collected patient samples. The cells were characterized for the expression of ovarian and cancer stem cell markers using immunocytochemistry. The presence of lipid in the primary metastatic cancer spheroids were confirmed by neutral fat staining using Oil Red-O and transmission electron microscopy. The mRNA expression of autophagy and lipid metabolism genes was analyzed using RT-PCR. The lipid content was analyzed using lipidomics analysis. Etomoxir and chloroquine were used to study the effect of inhibition of autophagy in the metastatic cells. The data were analyzed using appropriate statistical tools and a p-value <0.05 was considered to be statistically significant. RESULTS: Metastatic ovarian cancer spheroids exhibit cancer stem like properties and undergo a metabolic reprogramming when they disseminate from the primary tumor. We report here the accumulation of numerous cytoplasmic lipid droplets and lipophagic vesicles in the metastatic cells in contrast to their primary tumors. In addition we also report that these cells depend on lipophagy for the utilization of lipids rather than the conventional lipolytic pathway. The lipidomics analysis data reveals that the metastatic cells possess high levels of unsaturated fatty acids. We have also reported the occurrence of distinct accumulation of multiple nuclei in the patient derived metastatic cells. Inhibition of beta-oxidation and autophagic machinery using etomoxir and chloroquine resulted in cell death suggesting a potential mode to suppress metastatic cancer cells. CONCLUSION: Metabolic reprogramming is a characteristic feature of the metastatic ovarian cancer cells that are persisting in the malignant ascites. Targeting of the metastatic by gaining an insight into the various metabolic and molecular changes that occur in the metastatic niche provides a promising therapeutic approach in management of the disease.

Aberrant Promoter Hypermethylation of RASSF1a and BRCA1 in Circulating Cell-Free Tumor DNA Serves as a Biomarker of Ovarian Carcinoma.

OBJECTIVE: Ovarian cancer is one of the leading causes of cancer deaths in women. Ovarian cancer is diagnosed at the late stages and generally relapses within 12-14 months of cytoreductive surgery. This is attributed to lack of precise molecular detection methodologies to detect and track the disease. Epigenetic alteration such as aberrant promoter hypermethylation is an important early event that occurs during cancer development and progression. This study focuses on development of a minimally invasive methylation marker that could be used for detection and prognosis of ovarian cancer patients. METHODS: Aberrant promoter hypermethylation of RASSF1a and BRCA1 was assessed in circulating DNA of 72 EOC patients using methylation-specific PCR. The findings were correlated with various clinicopathological parameters. Statistical analysis was done using the Fisher exact test and chi-square test. RESULTS: The aberrant methylation patterns of RASSF1a and BRCA1 was identified to be present in the cancerous samples. A total of 31.9 % and 56.9% methylation was observed for RASSF1a and BRCA1 respectively. A striking 50% methylation of BRCA1 was identified in the benign sample cohort, which marks the significance of assessing the hypermethylation pattern to detect cancer at its early stages. Methylation of the two tumor suppressor genes was evident across various stages and grades of ovarian tumors suggesting that this could also help as a prognostic marker. CONCLUSION: The results of the current study hold significance since the hypermethylation patterns can be identified in the cell-free circulating tumor DNA from a small volume of blood plasma and is a simple and minimally-invasive method. Assessment of hypermethylation patterns of a panel of TSG along with the existing screening markers could aid in better diagnosis and management of the disease. It could also aid in designing specifically tailored treatment strategies to fight the disease.