Cutaneous presentation of post‐renal transplant lymphoproliferative disorder: a series of four cases
Bibliographic record
Abstract
We report detailed histological and molecular characteristics of four post transplant lymphoproliferative disorders (PTLD) presenting in the skin of renal transplant patients, and their clinical outcome. Three had B-cell lymphomas (cases 1-3), and one had a T-cell lymphoma (case 4). All B-cell lymphomas showed Epstein-Barr virus (EBV) by immunohistochemistry (IHC) or in situ hybridization (ISH). Cases 1 and 2 were large cell lymphomas, and case 3 a plasmacytoma. Case 1 showed light chain restriction and heavy chain gene rearrangement by polymerase chain reaction (PCR). The patient was then diagnosed with an abdominal lymphoma and died of sepsis. Case 2 had no recoverable DNA. Case 3 had a plasmacytoma that showed monoclonal light chain restriction on IHC and an oligoclonal heavy chain rearrangement by PCR. In cases 2 and 3, the lesions regressed following reduction of immunosuppression, and died 1.5 and 8 years later from unrelated medical causes. Case 4 was a CD 30+ anaplastic large T-cell lymphoma with no EBV detected by IHC, ISH and PCR, and died of heart failure 2 years later. Cutaneous manifestations of PTLD are rare, show wide array of clinical and pathological features, and generally have a favorable prognosis. EBV appears to be associated only with B-cell cutaneous lymphomas.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".