Anthony B. Costales, MD, on Advanced Ovarian Cancer: Predicting the Benefits of Minimally Invasive Surgery
SGO 2021 Virtual Annual Meeting on Womens Cancer
Anthony B. Costales, MD, of the Baylor College of Medicine, discusses results from the MIID-SOC trial, which explored the question of whether laparoscopic surgery for removal of ovarian, fallopian tube, or primary peritoneal cancer following neoadjuvant chemotherapy is feasible, safe, and provides similar outcomes as open surgery.
The ASCO Post Staff
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).
The ASCO Post Staff
Lauren Thomaier, MD, of the University of Minnesota, discusses the genetic variants found to be associated with an increase in chemotherapy-induced neuropathy symptoms in a cohort of gynecologic cancer survivors. Combining these variants with clinical characteristics may provide an important treatment tool (ID# 10253).
The ASCO Post Staff
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).
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).
