Matrix Metalloproteinases and Their Tissue Inhibitors - Expression, Role and Regulation in Human Malignant Non-Hodgkin's Lymphomas
Bibliographic record
Abstract
Human malignant non-Hodgkin's lymphomas (NHL) represent a heterogeneous group of neoplasms, which vary in their clinical behavior and pathophysiology. Matrix metalloproteinases (MMPs) and their tissue inhibitors (TIMPs) have been shown to play a role in the pathophysiology and clinical aggressiveness of human NHL. In this setting, MMP-9 and TIMP-1 appear to be the most important members of the MMP and TIMP families, and overexpression of both correlates with a poor clinical outcome of patients with NHL. MMP-9 and TIMP-1, however, act through different mechanisms and are produced by different cell types. Expression of both is upregulated by interleukin-6 (IL-6), a cytokine that is known as one of the factors involved in the pathophysiology of human NHL. In this review we summarize the complex regulation of MMP and TIMP expression in human NHL and propose a mechanism by which MMP-9, TIMP-1 and IL-6 may influence the biology of these tumors.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".