Amir A. Jazaeri, MD, on Metastatic Cervical Cancer: The Role of Immunotherapy
SGO 2021 Virtual Annual Meeting on Womens Cancer
Amir A. Jazaeri, MD, of The University of Texas MD Anderson Cancer Center, discusses data on the safety and efficacy of adoptive cell transfer using autologous tumor-infiltrating lymphocytes (LN-145) to treat patients with recurrent, metastatic, or persistent cervical carcinoma whose tumors have progressed on prior systemic therapy (ID # 10224).
The ASCO Post Staff
William H. Bradley, MD, of the Medical College of Wisconsin, discusses results from the SOLO-1 trial on maintenance olaparib after first-line platinum-based chemotherapy for patients with newly diagnosed advanced ovarian cancer and a BRCA mutation. Almost half of the patients treated with olaparib in the study were disease-free at 5 years, vs 20% of those treated with placebo (ID# 10224).
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
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
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).
