Prognostic implications of mutations in <i>NOTCH1</i> and <i>FBXW7</i> in childhood T-all treated according to the NOPHO ALL-1992 and ALL-2000 protocols
Bibliographic record
Abstract
BACKGROUND: In children, T-cell acute lymphoblastic leukemia (T-ALL) has inferior prognosis compared with B-cell precursor ALL. In order to improve survival, individualized treatment strategies and thus risk stratification algorithms are warranted, ideally already at the time of diagnosis. PROCEDURE: We analyzed the frequency and prognostic implication of mutations in NOTCH1 and FBXW7 in 79 cases of Swedish childhood T-ALL treated according to the Nordic Society of Pediatric Hematology and Oncology (NOPHO) ALL-1992 and ALL-2000 protocols. In a subgroup of patients, we also investigated the functional relevance of NOTCH1 mutations measured as expression of the HES1, MYB, and MYC genes. RESULTS: Forty-seven of the cases (59%) displayed mutations in NOTCH1 and/or FBXW7. There was no difference in overall (P = 0.14) or event-free survival (EFS) (P = 0.10) in patients with T-ALL with mutation(s) in NOTCH1/FBXW7 compared with patients with T-ALL without mutations in any of these genes. T-ALL carrying NOTCH1 mutations had increased HES1 and MYB mRNA expression (HES1 9.2 ± 1.9 (mean ± SEM), MYB 8.7 ± 0.8 (mean ± SEM)) compared to T-ALL with wild-type NOTCH1 (HES1 1.8 ± 0.7, MYB 5.1 ± 1.2, P = 0.02 and 0.008, respectively). In cases of T-ALL with high HES1 expression, improved overall (P = 0.02) and EFS (P = 0.028) was seen. CONCLUSIONS: Increased NOTCH activity, reflected by increased HES1 expression, is associated with improved outcome in pediatric T-ALL, but its role as a diagnostic tool or a therapeutic target in future clinical treatment protocols remains to be elucidated.
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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".