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).
Alice P. Barr, MD, of the Carolinas Medical Center and Levine Cancer Institute, discusses results from a retrospective study, which showed that progression-free and overall survival appeared to be no different with open surgery and minimally invasive surgery for interval debulking after neoadjuvant chemotherapy in women with advanced epithelial ovarian cancer. Perioperative outcomes also seemed to be superior with minimally invasive surgery (ID #10209).
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).
Vicky Makker, MD, of Memorial Sloan Kettering Cancer Center, discusses phase III findings showing that lenvatinib plus pembrolizumab may improve overall and progression-free survival, as well as overall response rate, compared with treatment of physician’s choice for advanced endometrial cancer. These results were achieved regardless of mismatch repair status following platinum-based chemotherapy (ID #10191).
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).
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).
