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
Lauren Thomaier, MD, of the University of Minnesota, discusses the genetic variants found to be associated with an increase in chemotherapy-induced neuropathy symptoms in a cohort of gynecologic cancer survivors. Combining these variants with clinical characteristics may provide an important treatment tool (ID# 10253).
The ASCO Post Staff
Dana M. Roque, MD, of the University of Maryland Medical Center, discusses phase II results showing that weekly ixabepilone plus biweekly bevacizumab may improve overall response rate as well as progression-free and overall survival for women with platinum-resistant or -refractory ovarian, fallopian tube, and primary peritoneal cancers, a population in need of treatment choices.
The ASCO Post Staff
Anthony B. Costales, MD, of the Baylor College of Medicine, discusses results from the MIID-SOC trial, which explored the question of whether laparoscopic surgery for removal of ovarian, fallopian tube, or primary peritoneal cancer following neoadjuvant chemotherapy is feasible, safe, and provides similar outcomes as open surgery.
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).
