Fate mapping of human T cell subsets during expansion for T cell therapy 3264

Abstract Description Adoptive T cell therapies represent a major advance for patients with otherwise-refractory blood cancers. Yet patient responses can vary widely, due in part to the inherent heterogeneity of the manufactured T cell product. Certain T cell subsets/phenotypes in the infusion product can predict clinical efficacy, but it is unclear how and where these desirable cells arise during therapeutic T cell expansion. We investigated the contribution and fate of multiple T cell subsets (naive, central-memory, effector-memory) expanded alone versus together in a pool towards the final T cell product. We used lentivirus-based proteomic barcodes and mass cytometry to follow these populations over time. When expanded together in a pool, all three subsets displayed a greater degree of terminal differentiation and effector cytokine production than when expanded alone. However, only naive CD8 T cells expanded in the pool showed enhanced degranulation activity (CD107a). Meanwhile, pooled naive and effector-memory T cells, but not central-memory T cells, exhibited greater glycolytic activity and oxidative phosphorylation as measured by single-cell metabolic regulome profiling. This coincided with a restoration of their cell cycle progression by the end of an 11-day expansion, compared to their counterparts expanded alone which gradually returned to G0/G1 over time. Overall, these results suggest that pooled expansion may only be beneficial for certain subsets for T cell therapies. Topic Categories Tumor Immunology: Checkpoints, Prevention, and Treatment (TIPT)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1082
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
0.00

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article

Fate mapping of human T cell subsets during expansion for T cell therapy 3264

Avery J. Lam
The Journal of Immunology
CAR-T cell therapy research
article

Fate mapping of human T cell subsets during expansion for T cell therapy 3264

Avery J. Lam
article en

Abstract

Abstract Description Adoptive T cell therapies represent a major advance for patients with otherwise-refractory blood cancers. Yet patient responses can vary widely, due in part to the inherent heterogeneity of the manufactured T cell product. Certain T cell subsets/phenotypes in the infusion product can predict clinical efficacy, but it is unclear how and where these desirable cells arise during therapeutic T cell expansion. We investigated the contribution and fate of multiple T cell subsets (naive, central-memory, effector-memory) expanded alone versus together in a pool towards the final T cell product. We used lentivirus-based proteomic barcodes and mass cytometry to follow these populations over time. When expanded together in a pool, all three subsets displayed a greater degree of terminal differentiation and effector cytokine production than when expanded alone. However, only naive CD8 T cells expanded in the pool showed enhanced degranulation activity (CD107a). Meanwhile, pooled naive and effector-memory T cells, but not central-memory T cells, exhibited greater glycolytic activity and oxidative phosphorylation as measured by single-cell metabolic regulome profiling. This coincided with a restoration of their cell cycle progression by the end of an 11-day expansion, compared to their counterparts expanded alone which gradually returned to G0/G1 over time. Overall, these results suggest that pooled expansion may only be beneficial for certain subsets for T cell therapies. Topic Categories Tumor Immunology: Checkpoints, Prevention, and Treatment (TIPT)

The Journal of ImmunologyVol. 214(Supplement_1)
Stanford University (US)
Louisiana State University, National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 52%
CAR-T cell therapy research
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Fate mapping of human T cell subsets during expansion for T cell therapy 3264 — Avery J. Lam · The Journal of Immunology (2025) | TGRS Research Map | TGRS