Sandro Pignata, MD, PhD, on BRCA-Mutated Ovarian Cancer: Maintenance Olaparib Outcomes
SGO 2021 Virtual Annual Meeting on Womens Cancer
Sandro Pignata, MD, PhD, of the Istituto Nazionale dei Tumori, discusses results from the ORZORA trial, which showed the efficacy of olaparib in patients with platinum-sensitive relapsed ovarian cancer is similar, whether they have a germline or somatic BRCA mutation. This information could prove useful for clinical practice (ID #10226).
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
Edward L. Trimble, MD, MPH, of the National Cancer Institute, discusses the World Health Organization’s global strategy to speed the elimination of cervical cancer through vaccination, screening, treatment, and training for multidisciplinary teams in gynecologic oncology care. This marks the first time that 194 countries have committed to such an effort (ID # 10203).
The ASCO Post Staff
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
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).
