Population-wide introduction of dose-adjusted EPOCH-R in high-grade B-cell lymphoma with <i>MYC</i> / <i>BCL2</i> rearrangements, DLBCL morphology
Bibliographic record
Abstract
ABSTRACT: High-grade B-cell lymphoma with "double-hit" MYC and BCL2 rearrangements (HGBCL-DH-BCL2) is associated with poor outcomes following standard chemoimmunotherapy, prompting dose-intensive regimen use. However, the benefit of intensification is unclear due to rarity precluding randomized trials, and selection bias in retrospective comparisons. In 2015, BC Cancer introduced a provincial guideline recommending dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, and rituximab (DA-EPOCH-R) for fit patients aged ≤75 years with HGBCL-DH-BCL2 identified by routine cytogenetic testing. To assess this guideline's impact, we compared the outcomes of patients with de novo HGBCL-DH-BCL2 tumors of diffuse large B-cell lymphoma (DLBCL) morphology across 2 eras. The DA-EPOCH-R era (2015-2020) included patients diagnosed after guideline implementation. The historic era (2005-2010) included patients identified from a historic province-wide cohort of patients with DLBCL morphology tumors that underwent universal cytogenetic testing in a research setting, predominantly treated with standard chemoimmunotherapy. Two-year overall survival (OS) was significantly improved in the DA-EPOCH-R vs historic era (75% vs 47%, P = .008) in HGBCL-DH-BCL2, whereas OS remained unchanged in DLBCL, not otherwise specified (78% vs 76%, P = .17). Within HGBCL-DH-BCL2, tumors harboring immunoglobulin MYC partner loci (43%) and those expressing the dark-zone signature (77%) were associated with the most substantial survival improvements. In a contemporary cohort of HGBCL-DH-BCL2 histologically transformed from follicular lymphoma (FL) in the DA-EPOCH-R era, outcomes of patients who were chemoimmunotherapy-naïve were comparable to those with de novo disease, whereas patients treated with chemoimmunotherapy for FL prior to transformation had poor outcomes. These data support using DA-EPOCH-R in select patients with HGBCL-DH-BCL2 of DLBCL morphology.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".