BCL-1 Gene Rearrangements in Iranian Non-Hodgkin Lymphoma Patients
Bibliographic record
Abstract
In the present study, our aim was to assess the incidence of BCL-1 gene rearrangements in formalin-fixed paraffin embedded (FFPE) tissue in patients with non-Hodgkin lymphomas (NHL). The BIOMED-2 protocol was applied to assess the BCL-1 gene rearrangements in NHL patients. PCR amplification was carried out on FFPE in 100 patients with B-cell lymphoma including 89 cases with diffused large B-cell lymphoma (DLBCL) (15 cases under 18 years old) and 11 cases with mantle cell lymphoma (MCL). Out of the 100 patients, 19 cases (19%) were identified to have concurrent translocation involving BCL-1. The significant association was seen between BCL-1 gene rearrangements and the lymphomas in patients older than 55 years (P<0.05). Out of 100 cases, 80 cases were positive and 20 cases were negative regarding CD20. No significant association was found between DLBCL lymphoma in patients under 18 years old and BCL-1 gene rearrangements (P>0.05). In addition, the positive and negative expressions of LCA/CD45 marker were 76% (76/100) and 26% (26/100), respectively. Our findings revealed that BCL-1 gene rearrangement assays using BIOMED-2 protocol can be considered as a valuable approach in detection of the lymphomas.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".