Ramaswamy Govindan, MD, FASCO, on EGFR-Mutant NSCLC: Final Overall Survival Results From Alliance A081105
ASCO 2026
Ramaswamy Govindan, MD, FASCO, of Alvin J. Siteman Cancer Center at Washington University School of Medicine in St. Louis, presents the final overall survival results from the randomized phase III Alliance A081105 trial, which evaluated adjuvant erlotinib vs observation after complete resection of EGFR-mutant non–small cell lung cancer (NSCLC) (Abstract 8001).
The ASCO Post Staff
Samuel J. Klempner, MD, FASCO, of Mass General Brigham Cancer Institute, discusses a single-arm phase II study—which is currently open and enrolling (ClinicalTrials.gov identifier NCT07070466)—evaluating ivonescimab in combination with FOLFOX as front-line therapy in locally advanced, unresectable, or metastatic HER2-negative gastroesophageal adenocarcinoma (Abstract TPS4246).
The ASCO Post Staff
Christopher A. Barker, MD, of Memorial Sloan Kettering Cancer Center, reviews the results of the RAMPART study, a phase II, multicenter, single-arm clinical trial evaluating response-adapted definitive radiotherapy in combination with cemiplimab-rwlc for locally advanced, unresectable cutaneous squamous cell carcinoma (CSCC) (Abstract 9506).
The ASCO Post Staff
Tony S.K. Mok, MD, FRCPC, FASCO, of the Chinese University of Hong Kong, presents long-term findings from the CROWN trial, which evaluated lorlatinib vs crizotinib in patients with advanced ALK-positive non–small cell lung cancer (NSCLC). At 5 years, median progression-free survival was not reached with lorlatinib in this population, representing the longest progression-free survival ever reported in advanced NSCLC (Abstract 8502).
The ASCO Post Staff
Mark A. Dickson, MD, of Memorial Sloan Kettering Cancer Center, presents findings from SARC041, a phase III randomized double-blind study of abemaciclib vs placebo in patients with dedifferentiated liposarcoma; patients who received abemaciclib experienced a statistically significant improvement in progression-free survival (Abstract LBA2).
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).
