<scp>B</scp>‐cell lymphoma, unclassifiable, with features intermediate between diffuse large <scp>B</scp>‐cell lymphoma and burkitt lymphoma: study of 39 cases
Bibliographic record
Abstract
B-cell lymphoma, unclassifiable (B-UCL), with features intermediate between diffuse large B-cell lymphoma and Burkitt lymphoma, is a poorly characterized entity. Therefore, we investigated cases of B-UCL treated by the Nebraska Lymphoma Study Group (NLSG). We searched the NLSG registry for years 1985-2010 for cases of B-UCL. Immunohistochemical stains and fluorescence in situ hybridization studies for MYC, BCL2 and BCL6 gene rearrangements were performed. Among the 39 cases studied, 54% were male and 46% were female, with a median age of 69 years. The majority of patients presented with advanced-stage disease (62%) and had high (3-5) International Prognostic Index (IPI) scores (54%). The median overall survival (OS) was only 9 months and the 5-year OS was 30%. Patients with low IPI scores (0-2) had a better survival than those with high scores (3-5). The cases were genetically heterogeneous and included 11 'double-hit' lymphomas with rearrangements of both MYC and BCL2 or BCL6. None of the immunohistochemical or genetic features was predictive of survival. This B-cell lymphoma is a morphologically-recognizable entity with a spectrum of genetic abnormalities. New and better treatments are needed for this aggressive lymphoma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".