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Ovarian Cancer: New Biological Markers Found That May Predict Which Patients Won't Respond to Chemotherapy

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.
United States Baylor College Of Medicine Francesca Petralia Amandag Paulovich Marcin Cieslik Noshad Hosseini

Immuno-Oncology Approaches Continue to Advance Across Gynecologic Cancers

Michael J. Birrer, MD, PhD, highlights the effect of improved molecular characterization in endometrial cancer, the clinical significance of the KEYNOTE-775 trial, and recent changes in the frontline treatment landscape in advanced endometrial cancer.
University Of Arkansas United States Little Rock Heatherr Williams Michaelj Birrer Winthropp Rockefeller Cancer Institute

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