Mutation analysis of <i>SBDS</i> in pediatric acute myeloblastic leukemia
Bibliographic record
Abstract
BACKGROUND: Shwachman-Diamond syndrome (SDS) is associated with a high risk of myelodysplasia, acute myeloid leukemia (AML), and chromosome 7 abnormalities. Ninety percent of SDS patients have mutations in SBDS on 7q11. Herein, we studied the role of genetic alterations in SBDS in AML. PROCEDURE: DNA was extracted from marrows of SDS patients with AML, as well as from children with de novo AML. Direct sequencing of PCR amplified genomic DNA was performed using specific primers flanking each exon. To study whether SBDS heterozygosity confers a risk for MDS/AML, data on family members of SDS patients on the Canadian Inherited Marrow Failure Registry (CIMFR) was analyzed. RESULTS: Of two SDS patients with SDS/AML one was homozygous 258 + 2T > C, and one was compound heterozygous 183-184TA > CT/258 + 2T > C. To determine whether a subset of patients with SDS can present with AML, we analyzed 48 AML samples at remission, but no mutations were identified. To address whether acquired mutated SBDS gene is associated with leukemic transformation in de novo AML, we analyzed 77 AML samples at diagnosis or relapse (4 with -7 and 7q-) for SBDS mutations; no alterations were detected. Also, among the relatives of an SDS patient cohort on the registry no cases of MDS/AML were reported. CONCLUSIONS: Common mutations occurred in our SDS patients who develop AML, and thus, AML is not confined to a rare genetic subgroup of SDS. Newly diagnosed patients with AML are unlikely to have an underlying undiagnosed SDS. Acquired SBDS gene mutations also would appear unlikely to play a mechanistic role in de novo AML, and might not be involved in the pathogenesis of chromosome 7 abnormalities as well.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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; a candidate call from one teacher head, 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".