Predictors of Transformation to Myelodysplasia/Acute Myelogenous Leukemia (MDS/AML) in Severe Congenital Neutropenia (SCN).
Bibliographic record
Abstract
Abstract Severe congenital neutropenia (SCN) is a heterogeneous disorder of myelopoiesis characterized by an absolute neutrophil count (ANC) persistently below 0.50 x 109/L (500/[um]L), with maturation arrest of neutrophil precursors of the bone marrow at the promyelocyte/myelocyte stage. G-CSF treated and untreated SCN patients are at risk of developing MDS/AML. Clinicians caring for these patients must vigilantly observe for evidence of evolution to malignancy and continually consider hematopoietic transplantation as an alternative therapy. We have previously reported that SCN patients requiring higher daily doses of G-CSF treatment (> 8 mcg/kg/day) are at an increased risk of MDS/AML, and that this risk is not predicted by pre-treatment bone marrow examinations or the pre-treatment ANC. We have reviewed clinical data for 46 patients over a 15-year period who were referred to the Severe Chronic Neutropenia International Registry (SCNIR) and developed MDS/AML. Four patients referred with a history of SCN had increased blasts on the bone marrow evaluation prior to G-CSF treatment or enrollment in the SCNIR. Blood counts were not available for two patients. For the other 40 patients, all treated with G-CSF for a median of 79 months (range 0.8 to 182 months), comparison of blood counts for the periods 12–24 months and 0–3 months before the diagnosis of MDS/AML showed: Changes in blood counts for the patient population may suggest a potential for malignant transformation. In these 40 cases, the principal clinical findings leading to the diagnosis of MDS/AML were: routine bone marrow surveillance 38%, decreased peripheral blood counts 26%, increased infections 10%, increased blasts in the blood 5%, decreased ANC with requirement for increased G-CSF dosage 2%, hepatosplenomegaly 2%, other (1 septal panniculitis and 1 leukemia cutis) 5%, and unknown 12%. The finding of mutations in the ELA2 gene in 10 of 15 cases (67%) did not influence the likelihood of MDS/AML. Previously we found that the duration and dose of G-CSF and alterations of the ANC on G-CSF therapy, suggest a high risk of transformation over time. Based on these data, the SCNIR recommends that patients with SCN have regular surveillance of blood counts every 1 to 2 months and annual bone marrow examinations with cytogenetic studies. Our findings suggest that a decline or change in blood counts of individual patients over a 3-month period may be informative in recognizing transformation to MDS/AML.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".