Soluble SLAMF6 Receptor Induces Strong CD8+ T-cell Effector Function and Improves Anti-Melanoma Activity <i>In Vivo</i>
Bibliographic record
Abstract
Abstract SLAMF6, a member of the SLAM (signaling lymphocyte activation molecules) family, is a homotypic-binding immune receptor expressed on NK, T, and B lymphocytes. Phosphorylation variance between T-cell subclones prompted us to explore its role in anti melanoma immunity. Using a 203-amino acid sequence of the human SLAMF6 (seSLAMF6) ectodomain, we found that seSLAMF6 reduced activation-induced cell death and had an antiapoptotic effect on tumor-infiltrating lymphocytes. CD8+ T cells costimulated with seSLAMF6 secreted more IFNγ and displayed augmented cytolytic activity. The systemic administration of seSLAMF6 to mice sustained adoptively transferred transgenic CD8+ T cells in comparable numbers to high doses of IL2. In a therapeutic model, lymphocytes activated by seSLAMF6 delayed tumor growth, and when further supported in vivo with seSLAMF6, induced complete tumor clearance. The ectodomain expedites the loss of phosphorylation on SLAMF6 that occurs in response to T-cell receptor triggering. Our findings suggest that seSLAMF6 is a costimulator that could be used in melanoma immunotherapy. Cancer Immunol Res; 6(2); 127–38. ©2018 AACR.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".