Patients with activated B-cell like diffuse large B-cell lymphoma in high and low infectious disease areas have different inflammatory gene signatures
Bibliographic record
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease with an association with inflammation and viral infections. We hypothesize that environmental factors may be involved in the pathogenesis of DLBCL. In this study, we compared gene expression profiles of lymph node tissues from patients with DLBCL from two different geographical areas with diverse environmental exposures. Specimens from Egyptian and Swedish patients with DLBCL as well as controls were studied. Gene expression analysis using microarray and quantitative polymerase chain reaction demonstrated significantly higher expression of signal transducer and activator of transcription 3 (STAT3) in Swedish as compared to Egyptian patients and control materials from both countries. This was confirmed at protein level using confocal microscopy. The receptor tyrosine kinase ROR1, a "survival factor" for malignant cells, was overexpressed and significantly related to the STAT3 expression pattern. The difference in the expression of genes involved in inflammatory responses and in the tumorigenic process of DLBCL might relate to infectious agents and/or other environmental exposures.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".