Human Metastatic Prostate PC3 Cell Lines Degrade Bone Using Matrix Metalloproteinases
Bibliographic record
Abstract
Bone metastases are often associated with osteolysis and subsequent pathological fractures. To determine if metastatic human cancer cells can directly degrade non-mineralized and mineralized bone, we used prostate PC3 adenocarcinoma cell lines, which were originally established from skeletal metastases. We show that PC3 cells and their conditioned medium degraded non-mineralized, osteoid-like radiolabelled extracellular matrices from human Saos2 and U2OS osteoblast-like cells. These cells also directly degraded mineralized bone by inducing (45)Ca release from rat fetal calvariae and forming resorption pits on bone slices, an effect increased by transforming growth factor-beta(1). A role for matrix metalloproteinases in degradation was shown by: (1) stimulation by the phorbol ester TPA of PC3-induced matrix degradation and release of matrix metalloproteinase activity; (2) abrogation of matrix degradation by 1,10-phenanthroline, a metalloproteinase inhibitor, and (3) degradation of purified type I collagen by PC3 cells and their conditioned medium. We demonstrate that human prostate cancer cells can directly degrade bone-related matrices and that matrix metalloproteinases have a role in this process.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".