Morphologic Evolution in Post-Transplant Lymphoproliferative Disorders (PTLD): A Clinicopathologic Case Series
Bibliographic record
Abstract
Abstract Post-transplant lymphoproliferative disorders (PTLDs) are classified as early PTLDs (E-PTLD), polymorphic PTLDs (P-PTLD), monomorphic PTLDs (M-PTLD) and classical Hodgkin's Lymphoma PTLD (HL). These entities are felt to represent a disease continuum, with a precursor-product relationship, though they are morphologically and clinically distinct. However, this process remains poorly understood, and limited evidence exists to support this hypothesis. We report a series of nine cases extracted from a PTLD database, including both pediatric and adult solid organ transplant recipients, with recurrent disease episodes that evince an apparent evolution in their morphologic categorization between episodes. All patients identified were high risk for PTLD, with multiple identifiable predisposing factors. Presentations varied from isolated lymphadenopathy, to gastrointestinal involvement to pulmonary involvement. Four of the patients were deceased at the time of acquisition, though only one directly from PTLD. Eight of the nine identified patients developed E or P-PTLD lesions that preceded a subsequent M-PTLD or HL lesion at a similar tissue site. Two of the cases had metachronous P and M-PTLD lesions. The six M-PTLD subtypes were variable, including DLBCL, Burkitt, T-cell, and extramedullary plasmacytoma, in addition to the three cases of classical Hodgkin's lymphoma. These cases suggest that E and P-PTLD may act as common precursor lesions to the development of both the M-PTLD variants and HL type lesions, and that the PTLD classification schema represents different stages of a common underlying pathology. Disclosures Owen: Lundbeck: Honoraria; Gilead: Honoraria; Janssen: Honoraria; Roche: Honoraria.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".