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Record W4411333827 · doi:10.1002/hon.70094_184

184 | GENOMIC PROFILING OF EXTRANODAL DISEASE IN PATIENTS WITH DIFFUSE LARGE B‐CELL LYMPHOMA: A COMBINED ANALYSIS OF POLARIX AND GOYA

2025· article· en· W4411333827 on OpenAlexaff
Jennifer Kimberly Lue, F. Morschhauser, Hervé Tilly, Georg Lenz, Fabrice Jardin, Alex F. Herrera, Jeffrey P. Sharman, C. R. Flowers, Jonathan W. Friedberg, Marek Trněný, Charles Herbaux, M. Yan, Saibah Chohan, Matthew Sugidono, Lili Wang, Yizhou Jiang, Connie Lee Batlevi, Wing Leung, W. Harris, Gilles Salles, L. H. Sehn

Bibliographic record

VenueHematological Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsSpinal Cord Injury BCUniversity of British ColumbiaRoche (Canada)
FundersNational Cancer InstituteGilead SciencesSeagenPfizer
KeywordsLymphomaDiffuse large B-cell lymphomaMedicineProfiling (computer programming)DiseasePathologyComputer science

Abstract

fetched live from OpenAlex

Introduction: Next-generation sequencing (NGS) of cell-free DNA (cfDNA) is used for non-invasive molecular profiling of cancers.MSK-ACCESS Heme (Memorial Sloan Kettering-Analysis of Circulating cfDNA to Examine Somatic Status) is a cfDNA assay that employs unique molecular indexing and ultradeep sequencing to detect somatic alterations in 115 genes related to hematologic malignancies.We present the initial clinical experience with MSK-ACCESS HEME among patients (pts) with B-cell lymphoma.Methods: Patients diagnosed with B-cell lymphoma underwent prospective MSK-ACCESS Heme testing at initial diagnosis or progression of disease between January and July 2024.A subset of 40 pts had matched tissue-based NGS testing with the MSK-IMPACT 468 gene panel (Ptashkin RN, et al.Nat Commun. 2023).Results: A total of 60 pts were initially enrolled: 44 untreated at diagnosis and 16 at the time of disease progression.Samples were excluded if obtained after treatment initiation (n = 6) or if PET-CT showed no evidence of active disease (n = 5).Consequently, the mutational landscape was assessed in 49 pts: DLBCL (n = 11), FL (n = 13), HL (n = 10), MCL (n = 6), and other B-cell subtypes (n = 9).The mean coverage was 1100x (range: 320x-1911x).At least one mutation was detected in 47 of 49 cases (96%), with a median of 6 mutations per sample (range: 0-22).The most frequently mutated genes identified in plasma were KMT2D, TNFAIP3, CREBBP, TNFRSF14, SOCS1, STAT6, TP53, CARD11, and EP300.In the target regions with ACCESS and IMPACT overlapping, a total of 283 mutations were identified; 69% (n = 196) were detected by both assays, while 8% (n = 23) and 23% (n = 64) were uniquely identified by MSK-IMPACT tumor sequencing and MSK-ACCESS plasma sequencing, respectively.The MSK-ACCESS Heme assay demonstrated an 89.5% concordance rate in detecting mutations previously reported by MSK-IMPACT.Notably, HL and FL exhibited the highest proportion of mutations detected exclusively in plasma (50% and 23%, respectively).Interestingly, no mutations were detected in the five pts with localized disease whose primary tumor had been surgically removed.Conclusions: MSK-ACCESS Heme successfully identified somatic alterations with high concordance to tissue-based testing, demonstrating its potential as an alternative method for determining tumor mutational profile and genetic classification.This assay contributes to the development of personalized treatment strategies in the future, and its performance in monitoring pts during and after therapies will be assessed.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.262
Teacher spread0.255 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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