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Record W3216889628 · doi:10.1182/blood-2021-153585

Outcomes of High Grade B- Cell Lymphoma with MYC and BCL2 and/or BCL6 Rearrangements: An Atlantic Canadian Centre Perspective

2021· article· en· W3216889628 on OpenAlexaffabout
Erica C. Kelly, Nicholas Forward, Mary‐Margaret Keating

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsMedicineBCL6OncologyInternal medicineLymphomaDiffuse large B-cell lymphomaRegimenBurkitt's lymphomaChemoimmunotherapyAggressive lymphomaRituximabImmunologyB cell

Abstract

fetched live from OpenAlex

Abstract Background: High Grade B cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements (also known as Double-hit lymphoma (DHL)) is an aggressive B cell Non-Hodgkin lymphoma which has recently been recognized by the WHO as a distinct clinical entity from Diffuse Large B cell lymphoma (DLBCL). Compared to patients with DLBCL, patients with DHL have poor outcomes with standard R-CHOP chemoimmunotherapy, and the optimal treatment regimen for this high-risk lymphoma is unknown. Due to clinical and genetic overlap with Burkitt lymphoma (which shares translocations involving MYC), treatment of DHL with more intensive Burkitt lymphoma protocols is a common approach. However, these regimens are associated with significant toxicity, and the superiority of these regimens over standard R-CHOP remains uncertain. At our institution, R-CODOX-M/IVAC has been the preferred regimen for fit younger patients with DHL. Objective: To review the outcomes of patients with DHL treated with R-CODOX-M/IVAC at our institution. Methods: In this retrospective single-centre study, patients with DHL receiving R-CODOX-M/IVAC were identified by cross-referencing provincial cancer care data and hospital pharmacy data. All adult patients with a diagnosis of DHL and who were treated with R-CODOX-M/IVAC between January 2009 and January 2019 were included in the analysis. The primary outcomes is complete response (CR) per standard lymphoma response criteria. Secondary outcomes include median progression-free survival (PFS), overall survival at 1 year, and median overall survival. Kaplan-Meier analysis was used for survival analyses. Results: 14 patients with DHL and meeting the inclusion criteria were identified and included in the analysis. The complete response rate was 35.7%. With a median followup time of 26 months, the median PFS was 31.8 months, and the median OS was 54.3 months. The overall survival at 1 year was 77%. Conclusions: A previous meta-analysis demonstrated inferior outcomes for patients with DHL receiving RCHOP, with a median PFS of only 12.1 months. The optimal treatment of these patients remains to be defined. Dose-adjusted regimens have been associated with a significant improvement in PFS compared to RCHOP (21.6 months versus 12.1 months). Previous retrospective data suggests R-CODOX-M/IVAC results in more favourable outcomes 2 year PFS of 41% and 2 year OS of 53% (Sun et al., Clinical Lymphoma, Myeloma & Leukemia, 2015). Our data, although limited, that R-CODOX-M/IVAC may be associated with improved outcomes compared to published results with RCHOP. The limitations of this study include its retrospective design, lack of matched controls receiving RCHOP, and its small sample size. Nevertheless, this study adds to the small body of available evidence on this difficult to treat clinical entity. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.010
GPT teacher head0.230
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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