Primary ???Cutaneous??? T-Cell Anaplastic Large Cell Lymphoma, CD30+, Neutrophil-Rich Variant with Subcutaneous Panniculitic Lesions, in a Post-Renal Transplant Patient
Bibliographic record
Abstract
Posttransplantation lymphoproliferative disorders (PTLD) presenting clinically in the skin are rare and usually of B-cell phenotype. Only 7 cases of cutaneous T-cell PTLD have been previously reported, mostly mycosis fungoides type, with no known cases of "cutaneous" presentation by CD30 (Ki-1) anaplastic large cell lymphoma (ALCL). The case reported is a 59-year-old male who developed multiple skin nodules on the right leg, 6 years following renal transplantation. Initial biopsy showed ALCL involving the dermis with a background rich in neutrophils. The neoplastic cells were of T-cell phenotype, strongly CD30 with typical staining, and BCL-2 positive, but P53 negative. No EBV was detected by IHC, ISH, or DNA analysis. One year later, he developed painful subcutaneous nodules with surrounding erythema, resembling deep pustules or panniculitis, which on biopsy showed preferential involvement of the subcutaneous fat and prominent component of neutrophils. Twenty-two months following diagnosis, he died of cardiac failure with terminal myocardial infarct. There was however no clinical evidence of systemic spread of the lymphoma.This report adds to the clinical and morphologic spectrum of these rare "cutaneous" lymphomas of T-cell lineage arising in the posttransplantation setting, and suggests that EBV does not play a role in their pathogenesis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".