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
William H. Bradley, MD, of the Medical College of Wisconsin, discusses results from the SOLO-1 trial on maintenance olaparib after first-line platinum-based chemotherapy for patients with newly diagnosed advanced ovarian cancer and a BRCA mutation. Almost half of the patients treated with olaparib in the study were disease-free at 5 years, vs 20% of those treated with placebo (ID# 10224).
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
Andreas Obermair, MD, of the University of Queensland and Queensland Centre for Gynaecological Cancer Research, discusses data on a hormonal IUD used to treat women with the precursor lesion endometrial hyperplasia with atypia (EHA) and those with stage I endometrial adenocarcinoma (EAC). At 6 months, the data showed a complete pathologic response in 82% of patients with EHA and in 43% of those with EAC (ID# 10244).
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
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).
