Publication: Clinical Pharmacology & Therapeutics (CPT)
Abstract
ISB 2001 is a trispecific T cell engager (TCE) that binds the tumor-associated antigens CD38 and BCMA and crosslinks CD3 on T cells to trigger T cell–mediated killing of myeloma cells. Because its CD3-binding domain is not cross-reactive in cynomolgus monkeys, no conventional preclinical PK, efficacy, or toxicology data were available to guide first-in-human (FIH) dosing. Rather than rely on the conventional, conservative MABEL approach (which tends to start far below therapeutic levels and exposes seriously ill patients to multiple subtherapeutic escalation cohorts), the team built a quantitative systems pharmacology (QSP) model integrating in-vitro, in-vivo, and clinical benchmark data (including teclistamab) to select an efficacy-proximal FIH dose and predict the clinical efficacy dose range. The strategy enabled an efficient phase 1 dose-escalation design for the TRIgnite-1 study (NCT05862012) and aligns with the emerging FDA roadmap to reduce animal testing through computational methods. The model’s predictions were then validated against evolving preliminary safety, PK, and antimyeloma activity data from the ongoing trial.
Authors: Vinu Chandralayam Ayyappa Menon, Tomomi Matsuura, Beata Holkova, Girish S. Gudi, Adam Drake, Maria Pihlgren, Piet H. van der Graaf, Sunitha GN, Andrew Garton, Mario Perro, Cyril Konto, Lida Pacaud
Published: 2026 年 5 月 28 日
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For ISB 2001, a validated QSP model delivered a safer, efficacy-proximal first-in-human dose and a faster path to therapeutic levels, exactly the kind of decision confidence model-informed drug development can bring to your program, especially for complex biologics where traditional preclinical data fall short. Want similar success for your molecule? Get in touch with Certara’s QSP experts to see how the right modeling strategy can de-risk your FIH dose selection and accelerate your path to the clinic.



