Leukocyte elastase in murine and human non-Hodgkin lymphomas
Bibliographic record
Abstract
Extracellular proteases play a crucial role in the invasive behavior of normal and transformed leukocytes. Thus far, however, most of the attention has been focused on members of the family of matrix metalloproteinases. In this work, we show that lymphoma cells can express leukocyte elastase (LE) and recruit the enzyme at their surface via ICAM-1. The expression of LE by lymphoma cells was augmented significantly by stimulation with IL-6 and IL-13, both of which also induced the expression of MMP-9. Although LE and IL-13 transcripts were detected in several non-Hodgkin's lymphomas, immunohistochemical analysis of lymphoma tissues also showed that LE was strongly expressed in infiltrating leukocytes. Given the spectrum of key molecules that can be cleaved by LE and that LE and MMP-9 are involved in the invasive behavior of normal or transformed leukocytes, our results raise the hypothesis that LE plays a crucial role in the multistep processes of inflammation and lymphoma metastasis.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".