Emily Hinchcliff, MD, MPH, of The University of Texas MD Anderson Cancer Center, discusses phase II results of durvalumab (anti–PD-L1) and tremelimumab (anti–CTLA-4) administered in combination vs sequentially for the treatment of recurrent platinum-resistant non–clear cell ovarian cancer (ID #10240).
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.
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).
Charles N. Landen, MD, of the University of Virginia, discusses results from the first clinical trial in ovarian cancer to demonstrate that neither a BRCA1/2 mutation nor a homologous recombination deficiency improves sensitivity to a therapeutic PD-L1 blockade in patients receiving atezolizumab vs placebo combined with carboplatin, paclitaxel, and bevacizumab for newly diagnosed disease (ID #10240).
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).
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).
