<i>DNMT3A</i>mutations and prognostic significance in childhood acute lymphoblastic leukemia
Bibliographic record
Abstract
Little is known about DNMT3A mutations in childhood acute lymphoblastic leukemia (ALL). We screened for DNMT3A mutations in exon 23 and its adjacent intron regions in diagnostic samples of 201 children with ALL. The cDNA samples from 82 patients were also sequenced to identify other mutations in the entire coding region. DNMT3A mutations were detected in exon 23 and its adjacent intron regions only in five patients (2.5%). There was only one mutation in exon 23 in two patients, respectively. In the other three patients, five intronic mutations were found. None of the mutations was found in the five corresponding complete remission samples. DNMT3A mutations were correlated with higher minimal residual disease at the end of remission induction (p = 0.078). Treatment outcome was obviously worse in patients with DNMT3A mutations than in other patients (p < 0.05). Thus, DNMT3A mutations can be found in a few children with ALL, and may have an adverse impact on prognosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".