Jessica J. Lin, MD, Mass General Brigham Cancer Institute, presents data from the ALKOVE-1 study, which is looking at the investigational ALK tyrosine kinase inhibitor (TKI) neladalkib among patients with ALK-positive non–small cell lung cancer (NSCLC); Dr. Lin discusses the first analyses of phase II TKI-pretreated patients and preliminary data in TKI-naive patients (Abstract 8503).
Daniel A. Ermann, MD, of Huntsman Cancer Institute, University of Utah School of Medicine, reviews data from a retrospective analysis that compared the real-world effectiveness of monotherapy first-line treatment for patients with chronic lymphocytic leukemia (CLL) based on overall survival and time to next treatment (Abstract 7045).
Mary-Ellen Taplin, MD, FASCO, of Dana-Farber Cancer Institute, presents the final analysis of the phase III PROTEUS study, which looked at perioperative (neoadjuvant and adjuvant) apalutamide plus androgen-deprivation therapy (ADT) vs placebo and ADT with radical prostatectomy in patients with high-risk localized or locally advanced prostate cancer (Abstract LBA1).
Angimar Uriepero-Palma, MD, of Jefferson Einstein Philadelphia Hospital, discusses a study that showed use of sodium-glucose cotransporter 2 (SGLT2) inhibitors was associated with longer 3-year overall survival and a lower risk of cytopenias and infections among diabetic patients with chronic lymphocytic leukemia (CLL) receiving Bruton’s tyrosine kinase inhibitors (Abstract 7051).
Nicholas C. Turner, MD, PhD, of the Royal Marsden Hospital, Institute of Cancer Research, discusses results from the primary analysis of the persevERA BC trial, which investigated giredestrant plus palbociclib vs letrozole plus palbociclib as first-line therapy in patients with estrogen receptor (ER)-positive, HER2-negative locally advanced or metastatic breast cancer (Abstract LBA1006).
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).
