Molecular basis of the spectrum of skeletal complications of neoplasia
Bibliographic record
Abstract
BACKGROUND: Neoplasia may produce a spectrum of dysregulatory effects on bone and mineral metabolism. The range of these effects and the known molecular mechanisms causing them are reviewed. METHODS: The current review is mainly based on previously published scientific reports from North America, Europe, and Japan that were identified from references in the literature. RESULTS: Osteolysis is the most common skeletal manifestation of neoplasia and may be focal or generalized. When tumors release abundant parathyroid hormone-related peptide (PTHrP) into the circulation, this may act as an endocrine substance to produce generalized osteopenia and, ultimately, hypercalcemia. PTHrP also may act in a paracrine manner to enhance focal osteolysis associated with metastasis and to generate hypercalcemia. The increased circulating PTHrP in tumor states also can augment serum calcium by renal mechanisms. PTHrP may contribute to focal osteolysis by tumor metastases, even in the absence of hypercalcemia. Strategies to reduce PTHrP production or PTHrP signaling, therefore, may be useful to treat the tumor-induced bone resorption induced both in hypercalcemic and nonhypercalcemic states. The most commonly used intervention, bisphosphonates, targets the osteoclast directly. Although osteolytic lesions generally occur with some degree of reactive new bone formation, osteoblastic lesions may be particularly abundant in association with certain tumors, such as prostate carcinoma. The mechanisms underlying these lesions remain unknown; however, a variety of osteoblast growth factors may contribute. These include the urokinase system, which may have growth factor activity as well as enzymatic activity. Finally, osteomalacia may be a manifestation of tumors either through accelerated bone formation with insufficient mineralization or through the production of a phosphaturic substance. CONCLUSIONS: Elucidation of the mechanisms underlying the spectrum of skeletal manifestations of neoplasia is yielding important insights into both tumor diagnosis and patient management.
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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".