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
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).
The ASCO Post Staff
Morcos N. Nakhla, MS, a second-year student at the David Geffen School of Medicine at UCLA, discusses data showing that a higher surgical volume is associated with better outcomes for frail patients undergoing surgery for ovarian cancer. Over the 12-year study period, mortality decreased for all women with ovarian cancer, despite a concurrent increase in frail patients (ID #10209).
The ASCO Post Staff
Ursula A. Matulonis, MD, of Dana-Farber Cancer Institute, discusses phase III results from the ENGOT-OV16/NOVA study on the long-term safety and efficacy of niraparib as maintenance therapy in patients with platinum-sensitive ovarian cancer with either a BRCA mutation or a tumor with high-grade serous histology. Women in the study have responded to their most recent chemotherapy containing a platinum agent (ID #: 11139).
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
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).