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◆ Proceedings of the National Academy of Sciences2026-02-02· Monoclonal antibody

Next-generation anti-DLL3 radiopharmaceuticals targeting high-grade neuroendocrine lung and prostate cancers

Salomon Tendler, Roberto De Gregorio, Paul Balderes, Alexa Michel, Tran Hoang, David Bauer, Kathryn M. Tully, Joshua A. Korsen, Ivo C. Lorenz, Abdul G. Khan, L. Carter, Olivia Vergnolle, Irina V. Lebedeva, Elisabeth K. Nyakatura, Lisa Bodei, M. Morris, John T. Poirier, Charles M. Rudin, Jason S. Lewis

原始摘要(英文原文)· Original abstract
Delta-like ligand 3 (DLL3) is a tumor-selective cell surface protein upregulated in high-grade neuroendocrine tumors, including small-cell lung cancer (SCLC) and neuroendocrine prostate cancer (NEPC). Here, we report on the development of anti-DLL3 radioimmunoconjugates for use as either a diagnostic imaging tracer based on the positron-emitter zirconium-89 ( 89 Zr) or a therapeutic agent utilizing the beta-emitter lutetium-177 ( 177 Lu). To begin, we generated a panel of human monoclonal antibodies targeting human DLL3 by immunizing transgenic mice engineered with a human immunoglobulin repertoire. The panel was extensively screened to identify high-affinity internalizing monoclonal antibodies (mAbs) recognizing a diversity of DLL3 epitopes. Select mAbs were reformatted as fully human Fab-arm exchange-deficient IgG4 to reduce effector function and then produced by recombinant methods. A pilot immunoPET study was performed in athymic female nude mice bearing human NCI-H82 SCLC tumors to nominate a lead candidate. ImmunoPET identified [ 89 Zr]Zr-DFO-TDI-Y-010 as the top-performing diagnostic tracer, with excellent in vivo biodistribution and tumor-to-background-organ ratios consistently >4. Therapeutic studies with [ 177 Lu]Lu-CHX-A"-DTPA-TDI-Y-010 demonstrated strong antitumor effects, significantly improving ( P <0.05) overall survival compared with the benchmark clone [ 177 Lu]Lu-CHX-A"-DTPA-SC16.56 in two SCLC tumor models (NCI-H82 and Lu149) and achieving comparable overall survival in a NEPC tumor model.
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