Transformation of Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma to Histiocytic/Dendritic Cell Sarcoma
Bibliographic record
Abstract
Chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) transforming into a more aggressive lymphoma (i.e., Richter syndrome) is well documented in the literature. In recent years, transdifferentiation of CLL/SLL to histiocytic/dendritic/Langerhans cell sarcomas has also been reported. We hereby describe a case of a 55-year-old female who was incidentally diagnosed with CLL after presenting to the hospital for symptoms of undiagnosed rheumatoid arthritis. At the time of presentation, CLL was stage 1, and the patient was placed on observation. Eight years after being diagnosed with CLL, and after several treatment modalities for her rheumatoid arthritis, the patient re-presented with progression of adenopathy, intermittent fevers, 5-pound weight loss, and worsening respiratory status requiring airway management. Computed tomography (CT) imaging revealed a soft tissue mass in the nasopharynx, lingual tonsillar hypertrophy with airway compromise, and bulky cervical, supraclavicular, and axillary lymphadenopathy. A biopsy of an enlarged cervical lymph node yielded a diagnosis of histiocytic/dendritic cell sarcoma favoring interdigitating dendritic cell sarcoma, likely representing transdifferentiation from CLL/SLL, of which there are no standard of care treatment guidelines. The patient was treated with ifosfamide, carboplatin, and etoposide (ICE) for three cycles, followed by rituximab, etoposide, prednisone, vincristine, cyclophosphamide, and doxorubicin (R-EPOCH) in combination with zanubrutinib. She then underwent haploidentical hematopoietic stem cell transplantation. At the time of the making of this manuscript, the patient was 45 days post-transplant without any notable complications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".