Combining MYC, BCL2 and TP53 gene and protein expression alterations improves risk stratification in diffuse large B-cell lymphoma
Bibliographic record
Abstract
Translocations affecting both MYC and BCL2 are associated with a poor prognosis in diffuse large B-cell lymphomas. We have examined genetic aberrations combined with analyses of protein expression of respective gene products. Fluorescence in situ hybridization (FISH) for translocations of BCL2 and MYC and del17p13 was performed. Immunohistochemistry analyses included BCL2, MYC and TP53 protein expression. Sixty-seven patients with high-risk DLBCL participating in a prospective multicenter study were included. Six patients with simultaneous translocations of BCL2 and MYC had impaired overall (OS) (p = 0.009) and progression-free survival (PFS) (p = 0.009). Six patients with high coexpression of MYC and BCL2 proteins also had impaired OS (p = 0.004) and PFS (p = 0.002). Combining these groups identified nine patients with impaired OS (p = 0.004) and PFS (p = 0.005). Sixteen patients had double-hit translocation or protein expression and/or del17p13 and/or high TP53. This combined endpoint was associated with impaired OS (p = 0.008) and PFS (p = 0.036), and identified 70% of all deaths.
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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 | 0.001 |
| 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) | 0.000 | 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".