Characterization of the 12q15 <i>MDM2</i> and 12q13‐14 <i>CDK4</i> amplicons and clinical correlations in osteosarcoma
Bibliographic record
Abstract
The chromosomal region 12q13-15 is recurrently amplified in osteosarcoma (OS), but its importance in bone tumor development remains unknown. Although there are two major candidate genes (MDM2, a TP53 downregulator, and CDK4, involved in cell cycle progression) considered to be the driving genes in this region, the size of the amplicon and number of genes involved have not been determined. In this study, we used 130 classical OS and 15 parosteal OS to determine MDM2 and CDK4 amplification frequency in OS. Tumors in which these genes were amplified were used to map the 12q13-15 amplified region and to determine its correlation with clinical prognosis. The 12q13-15 amplification was more prevalent in parosteal OS (67% of cases) than in high-grade classical OS (12%). Quantitative real-time PCR of MDM2, CDK4, and 25 other genes showed that this region contains two different amplicons: one at 12q15 centered on MDM2 and one at 12q13-14 centered on CDK4. Both regions were frequently co-amplified in both types of OS, and MDM2 and CDK4 amplification was correlated with higher expression levels for both genes. Univariate and multivariate analyses of clinical data indicated that classical OS patients whose tumors exhibited MDM2 amplification were more likely to be older at diagnosis (median age 32.6 vs. 17.8 years) and female (66.7 vs. 33.3%) than those without gene amplification. There was no association with other clinical parameters. In conclusion, co-amplification of MDM2 and CDK4 in two separate amplicons occurs frequently in parosteal OS and less so in classical high-grade OS.
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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 | 0.001 |
| 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) | 0.001 | 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".