Structural genomic alterations in primary mediastinal large B-cell lymphoma
Bibliographic record
Abstract
Primary mediastinal large B-cell lymphoma (PMBCL) is an aggressive non-Hodgkin lymphoma that displays phenotypic and genotypic similarity to Hodgkin lymphoma and diffuse large B-cell lymphoma. Studies using genome-wide discovery tools have revealed specific, recurrent structural aberrations as critical somatic events in the pathogenesis of PMBCL. These structural alterations prominently include transcript and protein altering rearrangements and copy number variations of the programmed death ligands 1 (CD274) and 2 (PDCD1LG2), CIITA, JAK2 and REL. Importantly, evidence is emerging that these acquired structural genomic changes, in synergy with other somatic alterations, contribute to PMBCL pathogenesis by influencing tumor microenvironment interactions that favor malignant B-cell growth. The means by which these rearrangements arise are not well understood. However, analysis of breakpoint junctions at base-pair resolution provides preliminary insight into putative rearrangement mechanisms. As the field also anticipates predictive value and therapeutic targeting of structural changes involving programmed death ligands and JAK2, a review of therapies that will likely shape future lymphoma treatment is needed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".