HLA-DRnegative, CD34negative Hypergranular Acute Myeloid Leukemia With Trisomy 6 and del(5)(q22q33)
Bibliographic record
Abstract
We report a unique pediatric case of hypergranular acute myeloid leukemia with myelodysplasia-related changes. The patient presented with moderate leukocytosis with neutrophilia with left-shift maturation and dysplasia, anemia, and multiple sclerotic bone lesions. The bone marrow was hypercellular with a predominance of myeloblast cells and/or abnormal promyelocytes with hypergranular cytoplasm. Flow cytometric immunophenotyping showed that the leukemic cells were positive for CD13, CD33, and myeloperoxidase, and negative for HLA-DR and CD34. Morphology and immunophenotyping were highly suggestive of acute promyelocytic leukemia. The classic t(15;17) or other RARα rearrangements were not detected by cytogenetic or molecular assays, ruling out acute promyelocytic leukemia. Standard cytogenetic analysis showed that the karyotype of the predominant clone was 47,XY,+6 with evidence of clonal evolution to 47,XY,+6,del(5)(q22q33). A literature and database review showed that trisomy 6 is a rare occurrence in hematological malignancies and, to our knowledge, has never been reported in association with del(5)(q22q33) in a child presenting with hypergranular acute myeloid leukemia with myelodysplasia-related changes. We present a current review of the literature and summarize the clinical features of 57 cases of trisomy 6 as the primary chromosomal abnormality in hematological disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".