LGG-34. THE LANDSCAPE OF GLIOMAS IN CHILDREN, ADOLESCENTS AND YOUNG ADULTS REVEALS INSIGHTS ON GLIOMAGENESIS: A CANADIAN ADOLESCENTS AND YOUNG ADULTS NEURO-ONCOLOGY NETWORK (CANON) STUDY
Bibliographic record
Abstract
Abstract BACKGROUND Gliomas are a heterogenous and common cancer in children, adolescents and young adults (CAYA, ages 0-39 years). Little is known about the biologic and clinical implications of gliomas in AYA limiting our ability to appropriately manage these patients. METHODS We compiled a population-based cohort of patients with glioma aged 0-39 years diagnosed between 2000-2020, performed molecular characterization of the tumors and collected clinical data including therapy and long-term outcome. RESULTS A total of 1456 patients, including 873 AYA patients were included. A pathogenic molecular alteration was found in 98% of AYA samples available. Strikingly, pediatric-type mutations were found in 31% of AYA glioma of which 37% were BRAF V600E and 23% FGFR alterations. Important differences were observed between gliomas in children versus AYAs. First, hemispheric tumors were enriched in AYAs compared to midline tumors in children, especially for RAS/MAPK alterations. Second, increased incidence of high grade tumors in AYA compared to children were observed for BRAF V600E and FGFR mutations (p<0.0001). In contrast, if these alterations were identified in AYA and the tumor was low grade, outcome was improved for BRAF V600E and FGFR mutant tumors in AYAs compared to pediatrics (for BRAF V600E 5 year PFS 55.6% <10 years, 78.1% for 10-20 years and 87.1% for 10-20 years of age, p=0.0002). Third, a specific time window for transformation was observed for each alteration (BRAF, FGFR, IDH). This correlated with different methylation profiles and transcriptional patterns between early midline and late hemispheric tumors. Increased senescence signatures were observed in older patients with low grade RAS/MAPK driven tumors with superior outcome. CONCLUSIONS Different cell of origin and secondary mutations shape tumor behavior and lead to either transformation or senescence during gliomagenesis in CAYA. These can affect early interventions and tailored approaches for gliomas by age and molecular alteration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".