Efficient Regeneration of Human Vα24+ Invariant Natural Killer T Cells and Their Anti-Tumor Activity In Vivo
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Reprogramming of antigen-specific T lymphocytes into induced pluripotent stem cells (iPSCs) and their subsequent re-differentiation has enabled expansion of functional T lymphocytes in vitro, thus opening up new approaches for immunotherapy of cancer and other diseases. In this study, we have established a robust protocol to reprogram human invariant NKT (Vα24+ iNKT) cells, which have been shown to act as cellular adjuvants and thus exert anti-tumor activity in mice and humans, and to re-differentiate the iNKT cell-derived iPSCs into functional iNKT cells. These iPSC-derived iNKT cells (iPS-Vα24+ iNKT cells) can be activated by ligand-pulsed dendritic cells (DCs) and produce a large amount of interferon-γ upon activation, as much as parental Vα24+ iNKT cells, but exhibit even better cytotoxic activity against various tumor cell lines. The iPS-Vα24+ iNKT cells possess significant anti-tumor activity in tumor-bearing mice and can activate autologous NK cells upon activation by ligand-pulsed DCs in the NOG mouse model in vivo, further extending their therapeutic potential. This study thus provides a first proof of concept for the clinical application of human iPS-Vα24+ iNKT cells for cancer immunotherapy.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.001 | 0.000 |
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 it