Microbiota Shape Metabolic and Immune Determinants of CAR-T Therapy and Correlate with Outcomes in Myeloma

微生物群影响 CAR-T 疗法的代谢和免疫决定因素,并与多发性骨髓瘤的预后相关

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作者:Mireia Uribe-Herranz ,Aina Oliver-Caldés ,Neus Martínez-Micaelo ,Marta Español-Rego ,Maria Val-Casals ,Roberto Martínez-Soler ,Elisa Rubio-Garcia ,Valeria Brunello ,Erik Z Mihelic ,Nela Klein-González ,Daniel Benítez-Ribas ,Núria Amigó ,Andrea Vergara ,Valentin Ortiz-Maldonado ,Luis Gerardo Rodríguez-Lobato ,Julio Delgado ,Iñaki Ortiz de Landazuri ,Verónica González-Calle ,Valentín Cabañas ,Beatriz Martin-Antonio ,Lorena Pérez-Amill ,Juan Luis Reguera-Ortega ,Paula Rodríguez-Otero ,Bruno Paiva ,Joaquín Martínez-López ,Maria-Victoria Mateos ,Mariona Pascal ,Álvaro Urbano-Ispizua ,Europa Azucena González-Navarro ,Carlos Fernández de Larrea ,Manel Juan
Multiple myeloma remains incurable despite advances in immunotherapies like chimeric antigen receptor (CAR) T-cell therapy. This study investigates the role of metabolites and gut microbiota in clinical outcomes in patients treated with the humanized B-cell maturation antigen (BCMA)-directed CAR-T therapy ARI0002h. Stool metabolites, particularly succinate, were associated with CAR T-cell phenotypes and persistence in patients. In CAR T-cell culture, succinate supplementation enhanced CD4+ central memory phenotype and respiratory capacity. In a murine myeloma model, a succinate-enhancing diet significantly improved CAR T-cell persistence and showed a trend toward better tumor control. Furthermore, Acidaminococcaceae, Monoglobaceae, or Akkermansiaceae, along with specific metabolites, were associated with CAR T-cell clinical outcomes. These multimodal profiles were integrated into response models, including one that identified patients likely to achieve a complete response by days 100 and 180 after infusion. These findings suggest that metabolites and gut microbiota correlate with CAR T-cell therapy responses and can be a valuable tool for risk assessment. SIGNIFICANCE: This study integrates microbial profiles into response models, providing a tool to identify patients with multiple myeloma who may benefit from BCMA-directed CAR T-cell therapy optimization by identifying bacterial taxa and metabolites associated with CAR T-cell persistence and therapeutic outcomes.

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