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Enregistrement W4417018661 · doi:10.1182/blood-2025-5146

Comparison of paired bone marrow and peripheral blood measurable residual disease in pediatric acute lymphoblastic leukemia by next-generation sequencing: A report from the dana farber ALL consortium protocol 16-001.

2025· article· en· W4417018661 sur OpenAlexaff
Jennifer Welch, Yael Flamand, Victoria Koch, Peter D. Cole, Lisa Gennarini, Justine M. Kahn, Kara M. Kelly, Bruno Michon, Thai Hoa Tran, Ilan R. Kirsch, Heidi Simmons, Melissa Burns, Lewis B. Silverman, Marian H. Harris

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensCentre Hospitalier Universitaire Sainte-JustineCentre hospitalier universitaire de Québec
Organismes subventionnairesnon disponible
Mots-clésMinimal residual diseaseBone marrowLeukemiaAcute lymphocytic leukemiaWhite blood cellClinical trialLymphoblastic LeukemiaHematology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Current protocols treating acute lymphoblastic leukemia (ALL) in children, adolescents, and young adults utilize bone marrow (BM) measurable (minimal) residual disease (MRD) to assess early treatment response and risk stratify post-induction therapy. Measuring MRD in peripheral blood (PB) may provide a less invasive way to quantitate leukemia burden facilitating more frequent and nuanced assessment of disease status and may provide additional insight on tumor biology. Methods: Next-generation sequencing of immunoglobulin and T-cell receptor loci by the clonoSEQ Assay (Adaptive Biotechnologies Corporation, Seattle, USA) was used to evaluate paired BM and PB samples from participants enrolled on a front line ALL clinical trial DFCI 16-001 (NCT03020030). Participants were selected by having paired samples available. Participants on 16-001 were stratified into initial risk groups by age, presenting white blood cell count, immunophenotype, CNS status, and adverse leukemia biology. MRD was evaluated at End-induction IA, 4 weeks after starting therapy (TP1, 138 pairs after QC) and if the TP1 result was greater than 100 per million cells (10^-4) MRD was evaluated again at end-induction IB, 10 weeks after the start of treatment (TP2, 42 pairs after QC). MRD was assessed in patients classified as very high risk at a third timepoint approximately 19 weeks after the start of therapy (TP3, 26 pairs after QC). BM MRD value by clonoSEQ if available determined final risk group; PB MRD was not used for clinical decision-making. Scatterplots were created and Spearman correlation coefficients were calculated to assess correlation between BM and PB MRD. Results: This analysis includes 213 paired BM and PB samples from 149 participants with median age at diagnosis 6.1 years (1-19.7), 54% male, 74% White, 77% Non-Hispanic, and 87% with B-cell immunophenotype. In this cohort, 50% were categorized as initial low risk, 29% initial high risk, and 21% initial very high risk. Of the 213 paired samples, 7 PB samples failed quality control (QC) leaving 206 for the correlation analysis. BM and PB MRD were highly correlated across all samples (R=0.78, p<2.2x10-16) and at each time point including TP1 (R=0.79, p<2.2x10-16), TP2 (R=0.71, p=1.7x10-7), and TP3 (R=.83, p=1.2x10-7). BM and PB MRD were highly correlated for both B-ALL (N=184, R=0.76, p<2.2x10-16) and T-ALL samples (N=29, R=0.88, p=6.1x10-10). Concordance was similar to the whole cohort for B-ALL samples at TP1(R=0.76, p<2.2x10-16), TP2 (R=0.7, p=3.2x10-6), and TP3 (R=0.89, p=8.9X10-9). For 44 paired samples with protocol defined high BM MRD (more than 100 per million cells for TP1, more than 1000 per million cells for TP2 or TP3), correlation with PB was also strong (R=0.50, p=5.0x10-4) however there is a discordance rate of 50% with 22 having a PB value below the protocol cut-off value. Using the whole cohort, samples with BM count in the range that may have effected management on 16-001 between 100 and 3000 per million cells were not correlated with PB (R=0.056, p=0.76). In subgroup analysis by initial risk group (low, high, and very high) and favorable tumor biology (presence of double trisomies 4 and 10 or ETV6::RUNX1) correlation remained strong. Conclusions: In this analysis, BM and PB MRD during treatment for pediatric ALL were highly correlated, particularly at high and low levels of detectable BM disease, across protocol defined risk groups, immunophenotype, and with favorable leukemia biology. At moderate levels of BM detectable disease, correlation with PB detectable disease was less strong limiting immediate direct replacement of BM sampling with PB. PB represents a desirable sample for assessing MRD allowing more frequent and less invasive evaluation of ALL disease status particularly for children, allowing for less painful modality to monitor disease status and less exposure to sedation/anesthesia. High correlation between BM and PB suggests that PB may represent a valuable adjunct for patient monitoring. With regard to specific levels for risk stratification, more work is needed. Correlation of PB MRD with ALL outcomes including event free and overall survival in the future will be essential in determining utility of PB MRD assessments.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,042
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,042
Score d'incertitude au seuil0,224

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0420,022
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0030,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0110,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,047
Tête enseignante GPT0,313
Écart entre enseignants0,266 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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