Abstract
Background: Ovarian cancer (OvCa) is the fifth leading cause of cancer death in women worldwide and the second leading cause of death of all gynecological malignancies. Although the incidence is not that high, mortality is about 70%, due mainly to its high recurrence rate, despite chemotherapy and targeted therapy. Factors such as invasiveness, metastatic properties, and response to treatment affect disease prognosis and survival. This work uses a metabolomics approach to identify metabolites from chemoresistant and chemosensitive ovarian cancer cells.
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