Gray-zone Lymphoma Between cHL and Large B-Cell Lymphoma
Bibliographic record
Abstract
Gray-zone lymphoma (GZL) with features intermediate between classic Hodgkin lymphoma (cHL) and large B-cell lymphoma (LBCL) was introduced as a provisional entity into the World Health Organization classification in 2008. However, as diagnostic criteria are imprecise, reliable identification of GZL cases remains challenging. Here, we describe the histopathologic features of 139 GZL cases from a retrospective Lymphoma Study Association (LYSA) study with the goal to improve classification accuracy. Inclusion criteria were based on literature review and an expert consensus opinion of the LYSA hematopathologist panel. We observed 86 cases with a morphology more closely related to cHL, but with an LBCL immunophenotype based on strong and homogenous B-cell marker expression (CD20 and/or CD79a, OCT2, BOB1, PAX5) on all tumor cells (cHL-like GZL). Fifty-three cases were morphologically more closely related to LBCL but harbored a cHL immunophenotype (LBCL-like GZL). Importantly, we observed a continuous morphologic and immunophenotypic spectrum within these 2 GZL categories. The majority of cases presented genetic immune escape features with CD274/PDCD1LG2 and/or CIITA structural variants by fluorescence in situ hybridization. Patients without mediastinal involvement at diagnosis (17%) were older than those with mediastinal tumors (median: 56 vs. 39 y). Cases associated with Epstein-Barr virus (24%) presented with similar patient characteristics and outcome as Epstein-Barr virus negative cases. In summary, we provide refined diagnostic criteria that contribute to a more precise pathologic and clinical characterization of GZL within a broad spectrum from cHL-like to LBCL-like 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".