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
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
Laura Chambers, DO, of the Cleveland Clinic, discusses data showing that combining paclitaxel and cisplatin vs cisplatin alone with hyperthermic intraperitoneal chemotherapy at interval debulking surgery improved progression-free survival. There was no difference in postoperative complications, length of stay, or time to chemotherapy, but admission to intensive care units did increase.
The ASCO Post Staff
Shannon N. Westin, MD, of The University of Texas MD Anderson Cancer Center, discusses phase II results from the ENPAC trial, which showed the combination of enzalutamide, paclitaxel, and carboplatin yielded promising clinical outcomes in chemotherapy-naive advanced or recurrent endometrioid cancer (ID # 10244).
The ASCO Post Staff
Rebecca S. Kristeleit, MD, PhD, of the University College London and UCL Cancer Institute, discusses efficacy and safety results from the phase III ARIEL4 study, which showed that rucaparib improved progression-free survival vs standard-of-care chemotherapy in patients with BRCA-mutated, platinum-resistant, or platinum-sensitive relapsed ovarian cancer (ID #10191).
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).
