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Record W7093121780

C095 | IMPACT OF IGHV REPERTOIRE AFTER IBRUTINIB-CONTAINING REGIMENS IN YOUNGER UNTREATED MANTLE CELL LYMPHOMA PATIENTS: AN ANALYSIS OF THE TRIANGLE DATA EMBEDDED IN THE MULTIPLY PROJECT

2025· article· en· W7093121780 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsShared Health
Fundersnot available
KeywordsIGHV@IbrutinibMantle cell lymphomaMinimal residual diseaseCohortUnivariate analysisAntibodyLymphomaBiomarker
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The TRIANGLE trial (Dreyling et al. 2024) compared three treatment arms (arm I: IR-CHOP/R-DHAP+ ibrutinib maintenance (Im); arm A+I: IR-CHOP/ R-DHAP + ASCT +Im; arm A: previous standard of care R-CHOP/ R-DHAP + ASCT) for younger, untreated mantle cell lymphoma (MCL) patients (pts), demonstrating the superiority of ibrutinib-containing regimens in terms of both failure free (FFS) and overall survival (OS). Previous studies (Hadzidimitriou et al. 2011) identified skewed immunoglobulin (IG) repertoires in MCL, but large, homogeneous cohorts linking IGHV usage to clinical outcomes are lacking. Here, we assess the prognostic impact of IGHV repertoire in TRIANGLE. Methods: IGHV clonal rearrangement analysis was performed for minimal residual disease purposes by Sanger or IG amplicon-based NGS. Data from 7 EuroMRD labs were analyzed by IMGT/V-QUEST or Arrest/Interrogate to determine IGHV rearrangements and identity percentage to germline. Results: Out of the 870 enrolled pts, 600 had an available IGHV sequence for analysis. Baseline characteristics and outcomes were comparable to the full TRIANGLE cohort (3y-FFS: arm A 70% vs arm A+I and I: 85%, P=0.001). Interestingly, pts with IGHV gene identity > 97% (IGHV unmutated) showed a trend towards worse FFS at later follow-up compared to pts with IGHV gene identity ≤ 97% (IGHV mutated) (P=0.056, Fig. 1A). The most common IGHV family was VH 3-21 (22%, Fig 1B). In a univariate analysis, the VH 3-21, 3-30, 3-48, and 3-74 families associated with better FFS and were therefore grouped together, namely VHcomb pts (N=171). VHcomb pts were younger, had lower MIPI scores, and showed superior 3-year FFS compared to other families (VHother) (87% vs. 77%, P=0.002). Stratified by treatment arm, VHcomb had significantly better FFS vs. VHother in arm A (87% vs. 62%, P<0.001, Fig. 1C), but no difference was observed in ibrutinib-containing arms (87% vs. 85%, P=0.2, Fig. 1D). After adjusting for the risk factors MIPI, cytology, and Ki67, VHcomb remained associated with improved FFS in arm A (Hazard ratio [HR] 0.41, P=0.007), while no statistically significant impact was observed in ibrutinib-containing arms (HR 0.77, P=0.3). Conclusions: This is the largest study of IGH repertoire in a phase 3 MCL trial. Specific IGHV rearrangements and IGHV mutation status predict FFS with standard therapy but not with ibrutinib, supporting a potential BCR-driven pathogenesis and an immunological effect of ibrutinib in MCL.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0130.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.170
GPT teacher head0.519
Teacher spread0.350 · 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 teacher head, not a consensus.

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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