Microbiota and plasticity of antigen-presenting ILC3s: impact on antitumor immune response
Bibliographic record
Abstract
Growing evidence highlights the pivotal role of RORγt-innate lymphoid cells (ILCs) in the establishment of antitumor immune response and in enhancing tumor sensitivity to immunotherapy. Noteworthy, type 3 ILCs (ILC3s) have been recently acknowledged as an important class of antigen-presenting cells (APCs) in the context of host-microorganism interactions shaping the adaptive immune response in the intestinal mucosa. Although a broad range of mouse models has led to significant progress in untangling the role of ILC3s as APCs, the outcome of major histocompatibility complex (MHC)-dependent ILC-T cell crosstalk in colorectal cancer (CRC) remains underexplored in human. Moreover, expression of MHCII is confined to ILC3 subset, endowed with lymphoid tissue-inducing properties, that adopts tissue-specific fates and functions. Intestinal microbiota could dictate the plasticity of antigen-presenting ILC3s and we here summarize our current understanding of the functions of these cells in both mouse and human CRC discussing the role of microbiota as a key modulator of their tumor-suppressive activity.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".