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 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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".