Supriya Chopra, MD, on Cervical Cancer: Reducing Late Effects of Bowel Toxicity
SGO 2021 Virtual Annual Meeting on Womens Cancer
Supriya Chopra, MD, of Tata Memorial Centre, discusses a final analysis of the phase III PARCER trial, which showed that image-guided intensity-modulated radiotherapy is superior to conventional radiotherapy in reducing bowel toxicity in women with cervical cancer. Acute diarrhea was also reduced, with no difference in disease-related outcomes (ID# 10224).
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
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
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
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
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).
