90K/Mac-2 binding protein is expressed in prostate cancer and induces promatrilysin expression
Bibliographic record
Abstract
BACKGROUND: 90K/Mac-2 binding protein is a cell adhesive protein whose level of expression has been correlated with metastatic potential in many different tumor types. The purpose of this investigation was to examine 90K expression in prostate cancer and to determine a possible role for 90K in cancer progression. METHODS: 90K expression in prostate cell lines and tissue samples was evaluated by immunohistochemistry. Expression in cell lines was also evaluated by Western blot analysis and real-time RT-PCR. Induction of promatrilysin by 90K was evaluated by ELISA. RESULTS: Some of the human prostate cell lines studied expressed 90K. 90K was over-expressed in 38.8% of prostate cancer tumor samples, 7.14% of PIN lesions, and 18.6% of normal tissue. 90K was also shown to induce promatrilysin expression in the prostate cell line, LNCaP. CONCLUSIONS: These data demonstrate that 90K is over-expressed in a large fraction of malignant tumors. The fact that 90K can induce expression of promatrilysin indicates a possible role for 90K in cancer progression and metastasis. This suggests that 90K over-expression may be a useful marker for examining prostate cancer progression.
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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".