Hyun C. Chung, MD, on Pembrolizumab for Advanced Cervical Cancer: Update From KEYNOTE-158
SGO 2021 Virtual Annual Meeting on Womens Cancer
Hyun C. Chung, MD, of Yonsei Cancer Center and Yonsei University College of Medicine, discusses phase II findings from the KEYNOTE-158 study, which support the use of pembrolizumab for patients with recurrent or metastatic cervical cancer that has progressed on or after chemotherapy and whose tumors express PD-L1.
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
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
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.
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).