Krishnansu S. Tewari, MD, of the University of California, Irvine, provides commentary on research presented in the oral abstract and rapid oral abstract sessions for gynecologic cancer, focusing on this year’s major trial data in endometrial, cervical, and ovarian cancers.
Veronica Diermayr, PhD, of EDDC and A*STAR, discusses the use of artificial intelligence (AI) driven strategy called H&E 2.0 in gastric and esophageal cancer. Researchers tested the feasibility of training deep-learning models on hematoxylin and eosin images of gastroesophageal carcinomas and their ability to predict EBC-129 antigen expression directly from these images. EBC-129 is an experimental antibody-drug conjugate that targets N256-glycosylated CEACAM5/6, which is highly expressed on solid tumors, including gastroesophageal cancers (Abstract 4018).
Yashasvini Sampathkumar, MD, of Memorial Sloan Kettering Cancer Center, presents data on Talking to Employers and Medical Staff about Work (TEAMWork), an English/Spanish intervention. The English/Spanish intervention, delivered as a booklet or mobile app, was developed to improve work outcomes among women undergoing breast cancer therapy. Dr. Sampathkumar discusses whether the digital vs print format was preferable among this population (Abstract 11060).
Antonio Llombart-Cussac, MD, PhD, of Medica Scientia Innovation Research (MEDSIR), discusses the ongoing ADELA study, a double-blind, placebo-controlled, randomized phase III trial of elacestrant plus everolimus vs elacestrant plus placebo in patients with estrogen receptor (ER)-positive HER2-negative advanced breast cancer with ESR1-mutated tumors who experienced disease progression on endocrine therapy plus CDK4/6 inhibition (Abstract TPS1154).
ClinicalTrials.gov identifier: NCT06382948
Jennifer J. Knox, MD, FRCPC, of Princess Margaret Cancer Centre, provides expert commentary on a phase III study of daraxonrasib vs chemotherapy in previously treated metastatic pancreatic cancer (Abstract LBA5).
Suneel Kamath, MD, of Cleveland Clinic, discusses a study that found tissue tumor mutation burden (TMB) was a stronger predictor of immunotherapy outcomes than blood-based circulating tumor DNA testing, with high tissue TMB associated with a longer time to treatment failure (Abstract 2580).
