Ovarian Cancer: New Biological Markers Found That May Predict Which Patients Won't Respond to Chemotherapy
NEW YORK, Aug. 3, 2023 /PRNewswire-PRWeb/ -- Using a novel proteogenomic strategy and a variety of machine learning tools, investigators from the Icahn School of Medicine at Mount Sinai and colleagues have identified a 64-protein signature that may predict a subset of ovarian cancer patients who are unlikely to respond to chemotherapy.
- The multicenter study, published online August 3 in Cell, reports on a pioneering analysis of chemo-refractoriness in high-grade serous ovarian cancer (HGSOC).
- The multicenter study, published online August 3 in Cell [DOI#: 10.1016/j.cell.2023.07.004], reports on a pioneering analysis of chemo-refractoriness in high-grade serous ovarian cancer (HGSOC).
- Currently, there's no way to distinguish refractory cases (who never respond to chemotherapy), leading some patients to unnecessarily experience the adverse effects of platinum-based chemotherapy without the benefits.
- The investigators studied 242 tumors samples collected from HGSOC patients comprising both chemo-refractory and chemo-responsive individuals before they received chemotherapy.