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Record W4327933172 · doi:10.1055/s-0043-1761990

Correlation of Clinical Features to DNA Methylation-Based Prognostic Subtypes in Chordoma Patients

2023· article· en· W4327933172 on OpenAlexaff
Jeffrey Zuccato, Andrew Ajisebutu, Gelareh Zadeh

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2023
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChordomaMedicineRadiation therapyOncologyDiseaseDNA methylationInternal medicineSkullQuality of life (healthcare)Overall survivalCorrelationBioinformaticsPathologySurgeryBiologyGene

Abstract

fetched live from OpenAlex

Background: Chordomas are rare aggressive primary bone cancers affecting the skull-base and spine. Despite standard of care treatment with radical surgical resection and radiotherapy, the overall survival at 10 years is only 40%, with most patients experiencing disease recurrence. Moreover, many experience devastating neurological morbidity that significantly impairs quality of life. Much of the research on chordomas points to a dichotomization in outcomes with some experiencing rapid recurrence and mortality despite maximal treatment, while others experience progression-free survival of up to 10 to 20 years. We have previously identified robust DNA methylation-based prognostic subtypes of chordomas, a poorer performing immune-infiltrated subtype and a better performing cellular subtype. Here, we have aimed to further characterize these prognostic subtypes with an extensively annotated clinical database to potentially identify factors that correlate with each subtype and, therefore, can be used as markers of chordoma subtype.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.063
GPT teacher head0.335
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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