Epidemiological Study of Molecular and Genetic Classification in Adult Diffuse Glioma
Bibliographic record
Abstract
Background: Mutations in isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) are frequent in lowgrade and high-grade gliomas. However, the diagnostic criteria, in particular for gliomas, are highly various. The aim of our study was to establish genetic profiles for mutation and calcification of diffuse gliomas and to evaluate their predictive factors. Methods: We estimate the different clinical and molecular characterization between IDH1, IDH2 mutant gliomas, p53, ATRX and 1p19q. In addition, whole-transcriptome sequencing and DNA extraction data were used to evaluate the distribution of genetic changes in IDH1 and IDH2 mutant gliomas in a Iranian high grade glioma. Results: Between 2016-2019, among 53 gliomas in our study, 29 cases (54.7% %) harbored an IDH1,2 mutation, 21 cases (39.6 %) harbored an p53 mutation and 19 cases (35.8 %) harbored an ATRX. In addition, 1p19q co-deletion mutation was found in 7 cases (12.2%). We found that IDH1 and IDH2 are mutually entirely in gliomas. There was no significant relation between histopathology, tumor location and clinical finding with diagnosed mutations. Conclusion: Our study discloses an associated distinction between IDH1 and IDH2 mutant gliomas nearly in half of patients, followed by p53. These mutations should be reviewed separately because their differences could have indication for the diagnosis and treatment of IDH1/2 mutant gliomas.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".