Osteocytes under Mechanical Loading Regulate PC‐3 Cancer Cell–Mineral Interactions during Early‐Stage Metastasis to Bone
Why this work is in the frame
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Bibliographic record
Abstract
Bone metastasis causes severe complications for patients suffering from advanced-stage prostate cancer. Exercise is recommended to help maintain musculoskeletal health during treatment. As primary mechanosensors and regulators of bone homeostasis, osteocytes recently investigate for their roles in prostate cancer bone metastasis. Recently, in vivo studies show that exercise mitigates prostate tumor progression and preserves bone structure. In contrast, in vitro studies indicate direct prostate cancer-osteocyte interactions under mechanical loading conditions promote prostate cancer growth and migration but exclude other host cells present in the metastatic bone microenvironment. Thus, these in vitro findings are not consistent with recent in vivo results. In this study, the role of mechanically stimulated osteocytes during the initial stages of metastatis in osteoblast-rich areas is examined. When treated with conditioned media from flow-stimulated osteocytes, osteoblasts reduce PC-3 wound healing migration and invasion compared to static controls. Of interest, osteoblasts treated with flow-stimulated MLO-Y4 and primary osteocyte conditioned media suppress PC-3 cancer cell growth, alter cancer cell morphology, and preserve mineralized matrix in a microfluidic co-culture assay. Overall, the inhibitory role of mechanical loading of osteocytes on the early-stage metastasis of the endosteal surface during prostate cancer bone metastasis is demonstrated.
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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 it