Low-magnitude high-frequency vibration reduces prostate cancer growth and extravasation in vitro
Bibliographic record
Abstract
Prostate cancer (PCa) continues to rank among the most common malignancies in Europe and North America with significant mortality rates despite advancements in detection and treatment. Physical activity is often recommended to PCa patients due to its benefits in preventing disease recurrence and managing treatment-related side effects. However, physical activity may be challenging for elderly or bedridden patients. As such, vibration therapy has been proposed as a safe, effective, and easy to perform alternative treatment that may confer similar effects as physical exercise. Specifically, low-magnitude high frequency (LMHF) vibration has been shown to decrease breast cancer extravasation into the bone and reduce other types of cancer proliferation by impacting cell viability. Here, we investigated the effects of daily application of LMHF vibration (0.3 g, 60 Hz, 1 hour/day for 3 days) on prostate cancer growth and bone metastasis in vitro . Our findings suggest that LMHF vibration significantly reduces colony formation through a decrease in cell growth and proliferation. Moreover, using a 3D cell culture model, LMHF vibration significantly reduces PC3 spheroid size. Additionally, LMHF vibration reduces PCa cell extravasation into the bone microenvironment through the stimulation of osteocytes and subsequent osteocyte-endothelial cell cross talk. These findings highlight the potential of LMHF vibration for managing PCa growth and metastasis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".