Determination of gelatinase A using a modified indirect hemagglutination assay in human prostate cancer screening and assessment of its correlation with prostate‐specific antigen parameters
Bibliographic record
Abstract
BACKGROUND: Prostate cancer is the most common malignancy affecting men and is a major cause of cancer death. There are increasing data on novel tumor markers, such as gelatinase A, which play a key role in tissue invasion and metastasis. OBJECTIVES: We designed a study to evaluate total gelatinase A content using a simple and applicable Indirect hemagglutination (IHA) test in harmony with gelatinase A activity in serum samples as compared with prostate-specifc antigen (PSA) parameters. METHODS: In this study, we analysed the circulating form of gelatinase A (MMP-2) in patients suffering from either benign prostate hyperplasia (n=54) or prostate cancer (n=26) versus normal individuals as control (n=26). The gelatinolytic activity was determined by zymography and total MMP-2 content was measured by a novel IHA method. Total PSA and free PSA were quantified using a standard ELISA technique. RESULTS: Correlation of densitometric analysis of gelatinase A activity and IHA titer is significant at the 0.01 level (P<0.01, rho=0.916). Correlation of PSA and IHA titer is significant at the 0.01 level (P<0.01, rho=0.746). Correlation of free PSA and IHA titer is significant at the 0.01 level (P<0.01, rho=0.749). Borderline of IHA titer in patients with prostate cancer was 512+/-1 tube titer, in benign prostate hyperplasia patients was 128+/-1 tube titer and the titer in normal individuals was 8+/-1 tube titer. CONCLUSIONS: These results demonstrate that assessment of gelatinase A might be a promising procedure for monitoring and screening patients with prostate cancer.
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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".