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
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
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
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
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).
