Establishing Prognostic DNA Methylation-Based Chordoma Subgroups in Tissue that are Detectable in Plasma
Bibliographic record
Abstract
Objective: Chordomas are bony tumors of skull base and spine that make up 2 to 4% of aggressive primary bone cancers. Despite standard of care treatment with surgery and radiotherapy, around half of patients recur, experience further neurological morbidity, and die within 4 years while the remaining half survive over 10 to 20 years. Unfortunately, these clinically aggressive and clinically benign subsets of chordoma cannot be reliably identified using existing clinical, pathological, or molecular factors/features to guide treatment approaches. Accordingly, this work aims to identify prognostic DNA methylation-based subgroups of chordomas and to establish feasibility for subgroup identification noninvasively, so that patients may be prognosticated at the time of diagnosis to guide treatment decisions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".