Mechanisms of Tumor Metastasis to Bone
Bibliographic record
Abstract
Bone metastases occur in approximately 80% of patients with advanced cancer. They are characterized by cancer cell growth and bone destruction that cause pain, fractures, anemia, and hypercalcemia. At diagnosis, bone metastases are usually incurable owing to their advanced development. However, the early stages in their formation are asymptomatic and begin as single micrometastatic cells from the blood stream. These cells can be detected by molecular analysis of bone marrow in approximately 30% of patients at the time of cancer diagnosis, but not all single micrometastatic cells develop into clinically significant bone metastases. A synergistic relationship exists between the micometastasis and the bone environment creating favorable conditions for the development and growth of disseminated tumor cells. Such bone metastases induce osteolysis or new bone formation, releasing growth factors and cytokines, which in turn amplify this pathological mechanism. The underling hypothesis, first proposed by Paget in 1889, is that the growth of disseminated tumor cells in bone is dependent on the fertility of the soil or bone itself. This article explores the most current opinions in this area of study and presents a comprehensive summary of the major factors involved.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".