Shows improved survival in individualized T-cell immunotherapy for lymphoma, suggesting a new approach to cancer treatment.
Patient-specific tumor heterogeneity limits the efficacy of conventional T-cell immunotherapies. We report MATCH, a modular split-antibody T-cell engager platform, and COMPASS, a computational framework that predicts individualized multi-specific therapy compositions. COMPASS integrates T-cell counts, tumor burden, and antigen expression (CD19, CD20, CD38) to identify dose combinations that maximize tumor cell killing while preserving T-cell viability. COMPASS accurately predicted effective multi-specific formulations for chronic lymphocytic leukemia patient PBMC samples and successfully predicted compositions to treat a human lymphoma xenograft murine model that led to significantly improved survival. This lab-in-the-loop experimental-computational approach provides a generalizable blueprint for precision T-cell immunotherapy and offers a new paradigm in patient-specific cancer treatment. A closed-loop experimental-computational framework for individualized T-cell immunotherapy design and precision dosing.
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Kendell et al. (2026) studied this question.
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