Significance of MMP-2 expression in prostate cancer: an immunohistochemical study.
Bibliographic record
Abstract
Prostate cancer is the most common cancer in North American men. Currently available prognostic factors inadequately predict which cancers will be aggressive and which will lead an indolent course. This study was aimed at investigating the role of matrix metalloproteinase (MMP)-2 in prostate cancer disease-free survival. We correlated MMP-2 expression by malignant prostatic epithelium and stromal cells with prostate cancer disease-free survival in 187 stage pT3NxM0 prostate carcinomas using immunohistochemistry. MMP-2 was expressed by cancer cells in 131 cases (70.0%) and by stromal cells in 142 cases (75.9%). MMP-2 expression by stromal cells was not associated with progression (P = 0.7270). However, in multivariate analyses, adjusting for the Gleason score, tumor-node-metastasis stage, and initial serum prostate-specific antigen, MMP-2 expression by >50% of malignant epithelial cells was associated with decreased disease-free survival (hazard ratio, 4.267; P = 0.0012). Increased MMP-2 expression by malignant prostatic epithelia is an independent predictor of decreased prostate cancer disease-free survival.
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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".