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.
Linda R. Mileshkin, MD, MBBS, FRACP, of Peter MacCallum Cancer Centre, shares results from the phase I/IIA BLUESTAR study on the safety and efficacy of puxitatug samrotecan, a B7-H4–directed topoisomerase I inhibitor antibody-drug conjugate, in patients with endometrial cancer or ovarian cancer (Abstract 5515).
Richard Cathomas, MD, of Cantonal Hospital Graubünden, reviews results from the primary analysis of SAKK 06/19, an open-label single arm phase II trial, which found that the combination of intravesical recombinant bacillus Calmette-Guérin (BCG) with atezolizumab, cisplatin, and gemcitabine was feasible and safe without unexpected toxicities and demonstrates promising efficacy in patients with muscle-invasive bladder cancer (MIBC) (Abstract 4503).
Laura Alder, MD, of Duke University Medical Center, highlights emerging data discussed in the meeting’s oral abstract session on small cell lung cancer, including increased toxicity without efficacy benefit from concurrent chemoradiation and immunotherapy, the intracranial activity of tarlatamab-dlle, and early data for a SEZ6-targeting antibody-drug conjugate.
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).
Brendan Heiden, MD, of Washington University School of Medicine, discusses data from a unique real-world cohort of nearly 1 million patients in the Veterans Health Administration; researchers evaluated whether tobacco smoking duration improves lung cancer risk prediction compared with tobacco pack-years (Abstract 8004).
