Ursula A. Matulonis, MD, on Ovarian Cancer: Niraparib as Maintenance Therapy
SGO 2021 Virtual Annual Meeting on Womens Cancer
Ursula A. Matulonis, MD, of Dana-Farber Cancer Institute, discusses phase III results from the ENGOT-OV16/NOVA study on the long-term safety and efficacy of niraparib as maintenance therapy in patients with platinum-sensitive ovarian cancer with either a BRCA mutation or a tumor with high-grade serous histology. Women in the study have responded to their most recent chemotherapy containing a platinum agent (ID #: 11139).
The ASCO Post Staff
Charles N. Landen, MD, of the University of Virginia, discusses results from the first clinical trial in ovarian cancer to demonstrate that neither a BRCA1/2 mutation nor a homologous recombination deficiency improves sensitivity to a therapeutic PD-L1 blockade in patients receiving atezolizumab vs placebo combined with carboplatin, paclitaxel, and bevacizumab for newly diagnosed disease (ID #10240).
The ASCO Post Staff
Hyun C. Chung, MD, of Yonsei Cancer Center and Yonsei University College of Medicine, discusses phase II findings from the KEYNOTE-158 study, which support the use of pembrolizumab for patients with recurrent or metastatic cervical cancer that has progressed on or after chemotherapy and whose tumors express PD-L1.
The ASCO Post Staff
Eric Pujade-Lauraine, MD, PhD, of Hôpital Hôtel-Dieu, discusses results from the PAOLA-1ENGOT-ov25 trial on the use of homologous recombination–repair mutation gene panels and whether they can predict the efficacy of olaparib plus bevacizumab in first-line maintenance therapy for patients with ovarian cancer (ID# 10224).
The ASCO Post Staff
Brian M. Slomovitz, MD, of Florida International University, describes how emphasizing diversity and shifting away from clinical trials at universities helped The GOG Foundation, Inc., increase patient accrual by 50% in 2020 (ID # 10215).
The ASCO Post Staff
Brittany A. Davidson, MD, of Duke University, discusses the development and validation of the GO-POP model (Gynecologic Oncology Predictor of Postoperative opioid use), an individualized patient-centered predictive tool designed to help avoid overprescribing pain medications (ID# 10253).
