Giannis S. Mountzios, MD, on SCLC: Intracranial Effect of Tarlatamab vs Chemotherapy
ASCO 2026
Giannis S. Mountzios, MD, of Henry Dunant Hospital Center, discusses findings from a post hoc analysis of the phase III DeLLphi-304 trial, which examined the intracranial efficacy of tarlatamab vs chemotherapy as second-line therapy for small cell lung cancer (SCLC) (Abstract 8006).
The ASCO Post Staff
Supriya Gupta, MD, of the University of Minnesota, presents data on azercabtagene zapreleucel, an investigational anti-CD19 allogeneic chimeric antigen receptor (CAR) T-cell therapy, in combination with low-dose interleukin-2 in patients with relapsed or refractory non-Hodgkin lymphoma (NHL) and chronic lymphocytic leukemia (CLL) (Abstract 7012).
The ASCO Post Staff
John V. Heymach, MD, PhD, of The University of Texas MD Anderson Cancer Center, discusses results from the primary analysis of the multinational phase III WU-KONG28 trial, which looked at sunvozertinib monotherapy vs platinum-based therapy as first-line treatment for patients with advanced non–small cell lung cancer (NSCLC) and EGFR exon 20 insertions (Abstract LBA8500).
The ASCO Post Staff
Christine Lovly, MD, PhD, FASCO, of City of Hope, offers her thoughs on the findings of the LIBRETTO-432 trial, which found improved event-free survival with adjuvant selpercatinib after definitive therapy for patients with early-stage RET fusion–positive non–small cell lung cancer (NSCLC) (Abstract LBA3).
The ASCO Post Staff
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).
The ASCO Post Staff
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).