Vibration‐Mediated Recovery of Irradiated Osteocytes and Their Regulatory Role in Breast Cancer Bone Metastasis
Bibliographic record
Abstract
Radiotherapy is a cornerstone of breast cancer treatment, but it can unintentionally damage bone, causing bone loss and pain, with no currently effective therapeutic strategy available. While chemically mediated radioprotection is extensively studied, mechanically mediated radioprotection remains underexplored. Given its safety and efficacy, this work examines the potential of low-magnitude, high-frequency (LMHF) vibration as a non-invasive intervention to protect irradiated bone, focusing on osteocytes-the primary mechanosensors and regulators whose functions extend to modulating breast cancer bone metastasis. These results demonstrate that LMHF vibration (0.3 g, 60 Hz, 1 h) mitigates osteocyte apoptosis and upregulates cytoskeletal markers following 8 Gy irradiation. LMHF vibration applied 1 h per day over 3 days restores the regulatory function of irradiated osteocytes in controlling breast cancer extravasation in a microfluidic platform. A combined approach integrating vibration with radiotherapy further reduces cancer invasion and extravasation, demonstrating a compound effect. RNA sequencing (RNA-seq) analysis reveals that this osteocyte-mediated regulation is possibly driven by the Wnt signaling pathway. These findings highlight the potential of LMHF vibration in enhancing radiotherapy efficacy by protecting osteocytes and reducing breast cancer metastasis, underscoring the promise of a non-invasive mechanical intervention in preserving bone health and optimizing cancer treatment outcomes.
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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) | 0.001 | 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".