NOV (CCN3) regulation in the growth plate and CCN family member expression in cartilage neoplasia
Bibliographic record
Abstract
Growth plate chondrocytes undergo a coordinated differentiation process resulting in terminal differentiation and new bone formation. Enchondromas are pre-malignant, benign cartilaginous lesions that arise from growth plate chondrocytes that fail to undergo terminal differentiation. NOV (nephroblastoma overexpressed) is a member of the CCN family of proteins, which share a common multi-modular organization. While the role of NOV in chondrocyte development and cartilage neoplasia is not known, other CCN family members play a role in chondrocyte differentiation, or are differentially regulated in cartilage neoplasia. In embryonic murine growth plates, NOV was expressed in pre-hypertrophic and early hypertrophic chondrocytes. PTHrP treatment (which inhibits terminal differentiation) decreased NOV expression in murine femurs maintained in organ culture, and decreased the activity of a NOV reporter construct in vitro. Expression of the CCN family members NOV, CTGF, CYR61, and WISP-1 was examined in 15 chondrosarcomas of various grades and in three enchondromas. Expression of all of the family members was lower in the higher-grade tumours. As identification of the grade of cartilage neoplasia can sometimes be difficult using histology alone, the level of expression of CCN family members could be a useful adjunct in the determination of tumour grade.
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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) | 0.000 | 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) | 0.001 | 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 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".