TGF-Beta Signaling Favors Central Memory Phenotype Expression By Ex-Vivo Stimulated Human T Cells
Bibliographic record
Abstract
Abstract Adoptive immunotherapy using ex vivo differentiated and expanded T cell lines can be remarkably efficient to treat cancer and infections. Unfortunately, the process of ex vivo T cell stimulation can lead to terminal effector differentiation and functional exhaustion thereby limiting the persistence and therapeutic effects of these T cells after transfer. Accumulating evidence suggests that, owing to their proliferative capacity, self-renewal ability and long term persistence in vivo, T cells bearing a central memory (CD45RO+/CD62L+ - Tcm) instead of an effector memory (CD45RO+/CD62L- - Tem) phenotype before adoptive transfer can mediate more significant therapeutic activity. Transforming-growth factor-beta (TGF-β) is a pleiotropic cytokine that influences several aspects of T-cell biology and that is best known for its growth suppression and immunosuppressive activity. We show that TGF-β signaling can have a profound impact on the number of CD4 and CD8 T cells expressing the Tcm and Tem phenotype after anti-CD3e and anti-CD28 stimulation without altering the number of cells recovered at the end of the culture and without inducing regulatory T cells. By enhancing the percentage of the lymph-node homing receptors, L-selectin (CD62L) and CC-chemokine receptor 7 (CCR7) expressing cells, exogenous TGF-β, added to the culture medium to a concentration of 5 ng/ml, favors Tcm over Tem cell accumulation at 7 days (CD4+: 55.80 vs 35.51% (P= 0.0074); CD8+: 56.9 vs 40.3% (P= 0.0063)). Reciprocally, the inhibition of TGF-β signaling with a TGF-β receptor kinase inhibitor (GW788388) accentuated Tem phenotype acquisition. Importantly, these effects of TGF-β on Tcm marker expression were maintained in the presence of exogenous cytokines commonly used in ex-vivo cultures for adoptive immunotherapy (IL-2, IL-7 and IL-15). The manipulation of TGF-β signaling did not increase the expression of exhaustion markers (KRLG-1, CD57) but exogenous TGF-β decreased interferon-gamma (IFN-γ) expression. No effect was noted on TNF-α and IL-2 expression as well as on the percentage of polyfunctional cells generated. We also found that modulating TGF-β signaling during the course of clinically relevant cultures capable of expanding T-cells specific for Epstein-Barr virus LMP2 protein antigens, in the presence of IL-7 and IL-15, could increase the number of CD4 Tcm cells, even 2 weeks after the withdrawal of TGF-β from the culture (38.24 vs 27.82, N=3) without compromising antigen-specific IFN-γ release. In conclusion, the modulation of TGF-β signaling can significantly alter Tcm and Tem phenotype acquisition and may therefore be used to optimize Tcm phenotype expression by ex-vivo pathogen/antigen-specific T cells expanded for adoptive immunotherapy. Disclosures No relevant conflicts of interest to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".