Academic: Ovarian cancer is the leading cause of death among female gynecologic cancers. Current treatments include surgical debulking, and chemotherapy. However, better interventions are needed to reduce the mortality rate of metastatic disease. Ovarian cancer cells have displayed the ability to aggregate and form 3D homogeneous and heterogeneous spheroids, which can function as micrometastases. Ovarian cancer spheroids survive independently prior to adhering to an endothelial tissue. Since aggregation has been shown to provide a survival advantage to the spheroids and increased their aggressive phenotype, this study aimed to investigate how the metabolism of ovarian cancer cells change in 3-dimensional (3D) culture. Examining metabolic pathways and identifying markers of metabolic change could provide the scientific base for new, targeted interventions for this disease. Spheroids of both homogeneous and heterogeneous composition demonstrated overall lower metabolic capacity than their adherent counterparts. Spheroids had a lower basal energetic demand than adherent cells, paralleled by lower maximal respiration capacity, glycolytic capacity, and spare respiratory capacity. We conclude that the lower energetic demand of spheroids may be a mechanism to prolong death by reserving energy and metabolic cellular processes; this may render anti-metabolic drug treatment with AICAR or metformin ineffective against disseminating ovarian cancer aggregates.

General: Ovarian cancer is currently the leading cause of death among female gynecologic cancers. While treatments exist, better interventions are needed to reduce the mortality rate in this form of cancer. Ovarian cancer cells have displayed the ability to aggregate and form 3D homogeneous and heterogeneous spheroids, which can function as micrometastases. Ovarian cancer spheroids survive independently prior to adhering to an endothelial tissue. Since aggregation has been shown to provide a survival advantage to the spheroids and increased their aggressive phenotype, this study aims to investigate how the metabolism of ovarian cancer cells change in 3-dimensional (3D) culture. Examining metabolic pathways and identifying markers of metabolic change could provide the scientific base for new, targeted interventions for this disease.