<i>Bona fide</i> cytotoxic iNKT cells with superior antitumour responses identified in mice and humans
Bibliographic record
Abstract
SUMMARY Adoptive cell therapies (ACT) using unmodified or engineered invariant Natural Killer T (iNKT) cells are in clinical trials for cancer treatment. While promising, outcomes are still suboptimal, possibly due to iNKT cell heterogeneity. This study identified unique iNKT cell populations with strong cytotoxic activity in mice and humans. In mice, iNKT1c cells showed potent CD1d-dependent and -independent antitumor functions, with responses influenced by NK receptors. IL-15 enhances their cytolytic activity, while retinoic acid is essential for their generation. In humans, terminally differentiated CD57 + iNKT cells showed marked NK-receptor expression and most effectively killed C1R tumor cells in vitro . These cells appeared activated/exhausted within tumors of non-small cell lung cancer patients. Additionally, a central memory-like CD62L + CD4 - iNKT subset efficiently expanded and generated cytotoxic CD57 + iNKT cells in vitro , making them an appealing candidate for ACT. This study paves the way for the design of more effective iNKT cell-based immunotherapies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".