Prognostic Value of 1p, 19q, 9p, 10q, and EGFR-FISH Analyses in Recurrent Oligodendrogliomas
Bibliographic record
Abstract
Although 1p/19q codeletions define "genetically favorable" oligodendrogliomas, eventual tumor progression and patient death remain constant. Genetic testing is often performed at the time of recurrence, though it is unclear whether these or other genetic alterations provide useful prognostic information. We characterized 138 of 189 (73%) available primary and recurrent oligodendroglial neoplasms from 80 patients, utilizing paired FISH probes for 1p32/1q42, 19p13/19q13, CEP7/EGFR, CEP9/p16, and PTEN/DMBT1. Patients were followed until death (49%), or a median follow-up of 8.9 years. Patients with 1p/19q codeleted tumors (71%) had an estimated overall median survival of 14.9 years with an estimated 3.9 years from first recurrence. In contrast, those lacking deletions had significantly lower estimated overall median survivals of 4.7 years and 1.0 year after first recurrence (both p < 0.001). This increased survival in patients with 1p/19q codeleted tumors remained significant when adjustments were made for age, tumor grade, type of surgical procedure, and treatment with radiation or chemotherapy. Only 1 recurrence showed focal EGFR amplification, while 5 developed 10q deletions, mostly in high-grade mixed oligoastrocytomas lacking 1p/19q deletions. In contrast, p16 (9p21) deletions were common and associated with both high grade (p < 0.001) and recurrence (p = 0.002). Our data suggest that in classic oligodendrogliomas: 1) 1p/19q tumor status is a powerful predictor of patient survival, even after recurrence; 2) p16 deletions are common progression-associated alterations; and 3) 10q deletions and EGFR amplifications are sufficiently rare to suggest the possibility of alternate diagnoses.
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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 | 0.001 | 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".