Adam Kibel, MD, on PROTEUS Trial in High-Risk Prostate Cancer: A Surgical Oncologist’s Perspective
ASCO 2026
Adam Kibel, MD, of Brigham and Women's Hospital, discusses findings from the phase III PROTEUS trial, which evaluated perioperative (neoadjuvant and adjuvant) apalutamide and androgen deprivation therapy vs placebo and ADT with radical prostatectomy in patients with high-risk localized or locally advanced prostate cancer. Dr. Kibel talks about how the regimen of apalutamide and ADT affects both the surgical procedure itself as well as patient outcomes postprocedure (Abstract LBA1).
The ASCO Post Staff
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).
The ASCO Post Staff
Marlana M. Orloff, MD, of Thomas Jefferson University Hospital, reviews primary results from the OptimUM-02 trial, which investigated the doublet of darovasertib plus crizotinib vs investgator’s choice for first-line therapy among patients with HLA-A2–negative metastatic uveal melanoma (Abstract LBA9503).
The ASCO Post Staff
Jonathan W. Goldman, MD, of the University of California, Los Angeles, presents event-free survival data from the primary analysis of the phase III LIBRETTO-432 trial, which investigated the efficacy of the kinase inhibitor selpercatinib in patients with stage IB–IIIA RET fusion–positive non–small cell lung cancer (NSCLC) (Abstract LBA3).
The ASCO Post Staff
Colton Jones, MD, of The University of Texas at San Antonio, talks about the results of a global, multicenter analysis that sought to determine the safety and efficacy of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for the primary prevention of hepatocellular carcinoma (HCC) in a pan-etiology high-risk cohort (Abstract 10522).
The ASCO Post Staff
Veronica Diermayr, PhD, of EDCC 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).
