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Enregistrement W2986188404 · doi:10.1182/blood-2019-129497

No Impact of Donor's Age-Related Clonal Hematopoiesis (ARCH) Observed on Graft-Versus-Host Disease Following Allogeneic Hematopoietic Stem Cell Transplantation: Result from Bar-Coded Error Corrected Sequencing in 33 Gene Mutations on 372 Pairs of Donor and Recipient

2019· article· en· W2986188404 sur OpenAlexaff
Kyoung Ha Kim, Tae‐Hyung Kim, Jae-Sook Ahn, Zeyad Al‐Shaibani, Arjun Law, Wilson Lam, Fotios V. Michelis, Auro Viswabandya, Jeffrey H. Lipton, Rajat Kumar, Jonas Mattsson, Zhaolei Zhang, Tamir Biezuner, Liran I. Shlush, Dennis Dong Hwan Kim

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer Genomics and Diagnostics
Établissements canadiensUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésTransplantationHematopoietic stem cell transplantationGraft-versus-host diseaseOncologyStem cellDeep sequencingMedicineInternal medicineImmunologyBiologyGeneGeneticsGenome

Résumé

récupéré en direct d'OpenAlex

Introduction: Recent advances in next-generation sequencing (NGS) enables us to reveal the clinical relevance of age-related clonal hematopoiesis (ARCH) in healthy individuals without having hematologic disorders. It is plausible that transfer of ARCH from a donor to the recipient following allogeneic hematopoietic stem cell transplantation (HCT) results in delayed engraftment, thus increasing the risk of non-relapse mortality (NRM). A recent study reported that the presence of ARCH in the donor is associated with increasing risk of chronic graft-versus-host disease (GVHD) and reduced risk of relapse after allogeneic HCT (JCO 2018). However, detailed analyses are lacking with respect to engraftment, the severity of GVHD, organ-specific GVHD. The present study aimed to assess the impact of donor ARCH on HCT outcomes regarding overall and each organ-specific acute/chronic GVHD as well as engraftment kinetics. Methods and patients: The present study includes 372 pairs of donors and/or recipients who received HCT from 2000 till 2007. Genomic DNA samples were archived from the samples taken prior to HCT. For barcoded error-corrected sequencing, a molecular inversion probe capture protocol was modified and applied (Gen. Research 2013). In short, we designed probes targeting 33 genes covering ARCH mutations along with other AML related mutations. Barcoded NGS library was generated and processed. Following sequencing (NovaSeq, Illumina) with 150 bp pair-end mode, the analysis was performed using a customized computational pipeline. Recipients and transplant characteristics are as following: male/female (n=223/149); median age, 48 yrs; conditioning regimen, reduced-intensity conditioning (RIC, n=105)/myeloablative conditioning (MAC; n=267). Median age of donors was 48 yrs. Transplant outcomes were analyzed according to the presence of ARCH in the donor in terms of overall survival (OS), NRM, relapse incidence (RI), overall acute and chronic GVHD as well as organ-specific incidences of GVHD. Engraftment parameters such as neutrophil and platelet recovery were also analyzed. Results: 30 mutations were detected in 25 donor samples (6.7%). Consistent with previous studies, the most frequently mutated gene was DNMT3A (n=10/25, 40%). The median variant allele frequency (VAF) for 30 mutations in donor was 1.18% (ranges, 0.57%-13.29%). With respect to the presence or absence of ARCH in donors, there were no significant differences in baseline and transplant characteristics such as age, sex, conditioning regimen (RIC vs MAC), GVHD prophylaxis. The presence of ARCH in donor also did not show any difference in OS (p=0.66, HR 0.86 [0.44-1.68]), RI (p=0.71, HR 0.83 [0.31-2.21]) or NRM (p=0.7, HR 1.16 [0.54-2.51]). With respect to the engraftment, the median time to neutrophil (defined as ≥0.5x109/L) and platelet engraftment (≥20x109/L with transfusion independence) was not associated with the presence of donor ARCH. Neutrophil engraftment rate was 88.0% in ARCH and 91.6% in the non-ARCH group at day 30 with a median time of 18 days and 19 days (p=0.45). The median time to platelet engraftment was 15 days both in ARCH and in the non-ARCH group (p=0.43). In terms of GVHD, donor ARCH status did not affect incidences of aGVHD/cGVHD. Incidence of grade II to IV acute GVHD at day 100 was 69.9% and 66.2% in the ARCH and non-ARCH group (p=0.94). There were no differences between the two groups in organ-specific aGVHD of the skin (p=0.23), liver (p=0.98) or gut involvement (p=0.48). The cumulative incidence of chronic GVHD (based on the NIH consensus criteria) was 58.3% in ARCH and 58.6% in the non-ARCH group (p=0.80). No differences were noted in the severity of cGVHD between the 2 groups (p=0.87). No differences in organ-specific cGVHD were also noted for the ocular, oral, skin, liver, GI, lung or musculoskeletal involvement. Multivariate analyses confirmed that the donor ARCH was not significantly associated with survival, a/cGVHD and, engraftment after allogeneic HCT. Conclusion: The presence of ARCH in the donor does not affect the mortality, relapse or engraftment following allogeneic HCT. Our data suggest that donor ARCH has no apparent association with HCT outcomes, although there was a concern on the presence of ARCH in the donor's HSCs and its transfer through allogeneic HCT. It also does not seem to delay engraftment or increase the risk of non-relapse mortality following allogeneic HCT. Figure Disclosures Michelis: CSL Behring: Other: Financial Support. Mattsson:Gilead: Honoraria; Therakos: Honoraria; Celgene: Honoraria.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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 enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,017
Tête enseignante GPT0,239
Écart entre enseignants0,221 · 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

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

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