CD137‐CRDI is not necessary in the role of contacting its natural ligand
Bibliographic record
Abstract
Immune checkpoint inhibitors result in impressive clinical responses and are expanding to treat a wide variety of tumors. One common problem is low responses from current clinical trials that only benefit a fraction of patients. One key promising direction is combination therapy to increase clinical benefit. CD137, a well-defined antitumor target, can cause strong co-stimulating activity and break immune tolerance. In this study, the role of CD137-CRDI (cysteine rich domain I) in the binding of CD137-CD137L was further investigated based on our previous work. The results revealed that CRDI-mediated limited CD137 assembly without relying on CD137L. Furthermore, CRDI was not involved in direct contact with CD137L in either mice or humans. Isolated mouse CRDII and human CRDII+CRDIII were proven to be the minimum unit for interface with their respective ligands. Fine-tuning of this signaling may improve CD137-targeting strategy.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".