Investigations of the functional interactions between CIC and ATXN1L in Oligodendroglioma
Bibliographic record
Abstract
Oligodendroglioma (ODG) is a subtype of low grade glioma marked by unique clinical and genomic characteristics including slow predictable progression, IDH mutation, and 1p19qcodeletion.ODGs are more sensitive to treatment leading to a favorable prognosis.Recently, mutations in CIC, a gene found on chromosome 19q, have been found in up to 70% of IDH mutated, 1p19q-codeleted ODGs.The high frequency of CIC mutations in a hemizygous state indicates that loss or altered function of the CIC protein may be crucially associated with the unique biology of ODG.Previous studies of CIC have shown this protein to be a transcriptional repressor of ETS transcription factors and a negative regulator of the MAPK pathway.CIC and ataxin-1-like (ATXN1L) are also closely involved in the pathology of spinocerebellar ataxia (SCA).However, their relationship and role in brain tumour biology has yet to be elucidated.In this study, we explore the molecular, proteomic, and functional relationship between CIC and ATXN1L which may lead to unique insights on the clinical behavior of ODG as well as identify potential molecular therapeutic targets in this enigmatic brain tumour.
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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".