Brian M. Slomovitz, MD, on the Impact of COVID-19 on Gynecologic Cancer Research
SGO 2021 Virtual Annual Meeting on Womens Cancer
Brian M. Slomovitz, MD, of Florida International University, describes how emphasizing diversity and shifting away from clinical trials at universities helped The GOG Foundation, Inc., increase patient accrual by 50% in 2020 (ID # 10215).
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
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
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
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).
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).