Type 2 innate lymphoid cells: a novel actor in anti-melanoma immunity
Bibliographic record
Abstract
Immunity to melanoma is thought to be mainly mediated by adaptive immune cells. To what extent innate immunity, particularly innate lymphoid cells, drive the immune response and impact melanoma prognosis and therapeutic responsiveness is not well understood. In a recent article published in Nature Immunology, we uncovered a critical role that ILC2 play in the control of melanoma. Using both complementary mouse models and human samples, we showed that ILC2-derived granulocyte macrophage-colony stimulating factor (GM-CSF) drives eosinophil tumor recruitment and activation. We found that ILC2 express PD-1 which inhibits ILC2 effector function and impairs anti-tumor responses. We further demonstrated that the combination of IL-33 and anti-PD-1 blocking antibodies improved anti-tumor responses through the expansion of splenic and tumor-infiltrating ILC2 and eosinophils. These findings have revealed an essential mechanism involving ILC2 and eosinophils necessary for anti-melanoma immunity and immunotherapy responses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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".