Case report: Aggressive natural killer cell leukemia and refractory hemophagocytic lymphohistiocytosis in an adolescent
Bibliographic record
Abstract
Aggressive natural killer cell leukemia (ANKL) is a rare, aggressive hematologic malignancy which often presents as fulminant Epstein-Barr virus (EBV)- driven hemophagocytic lymphohistiocytosis (HLH). ANKL lacks a distinct immunologic and morphologic signature, making early diagnosis particularly challenging. Here we present a case of ANKL in a patient presenting with EBV-HLH. After poor treatment response to the HLH-2004 protocol (etoposide and dexamethasone), bone marrow biopsy demonstrated an atypical CD3-/CD56+ natural killer (NK) cell population with diminished CD7 expression consistent with EBV+ ANKL. Asparaginase-based chemotherapy was initiated but his disease progressed and he died from multiorgan failure. This case highlights the diagnostic challenges of ANKL given the lack of standardized diagnostic criteria, the importance of considering T/NK cell malignancies in the differential diagnosis of EBV-HLH, and adds to the literature on this rare 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".