Deleterious Germline Variants Are Present in Patients with Myelodysplastic Syndrome of All Ages Treated with Related Allogeneic Stem Cell Transplantation
Notice bibliographique
Résumé
Abstract Inherited myeloid malignancies are included as a provisional category in the current World Health Organization classification and within clinical testing guidelines of the National Comprehensive Cancer Network for myelodysplastic syndrome (MDS) and the European LeukemiaNet. The frequency of deleterious germline variants in MDS patients diagnosed at or younger than 40 years old ranges from 15-20%. To determine the frequency of germline predisposition in MDS patients of all ages, we accessed peripheral blood samples collected by the Center for International Blood and Marrow Transplant Research (CIBMTR) from all MDS patients who had undergone allogeneic hematopoietic stem cell transplantation (HSCT) using related donors (Table 1). We performed whole exome sequencing in 404 donor/recipient pairs augmented with spike-in probes covering non-coding regions known to contain inherited risk alleles. Single nucleotide variants (SNVs) and copy number variants (CNVs) were interpreted according to American College of Medical Genetics and Genomics (ACMG), Association for Molecular Pathology, and Clinical Genome Sequence Variant Interpretation Working Group guidelines. Germline status was confirmed by the presence of a variant in the MDS patient and related donor and for variants previously only seen as germline alleles with a variant allele frequency of 40-60%. We examined variants in 236 genes associated with hematopoietic malignancies, bone marrow failure syndromes, immunodeficiencies and congenital/acquired cytopenias. We identified pathogenic germline variants in 28 out of 404 MDS patients (7%): 23 with autosomal dominant and five with autosomal recessive inheritance. MDS patients with deleterious germline variants were found in all age deciles, from age 11 to 71 (Figure 2A), and were more likely to develop higher-grade MDS (43% vs. 25%, p=0.04). Deleterious variants in 5 bone marrow failure syndrome-related genes were found predominantly in younger people, whereas middle-aged and senior MDS patients had most often deleterious variants in DDX41 (n=4) and cancer predisposition genes (n= 16; Figure 2B). Seventy-one percent of MDS patients with deleterious autosomal dominant germline variants shared that variant with their related donor. However, there were no differences in HSCT outcomes for these individuals. The 7% overall frequency of deleterious germline variants is likely an underestimate, because we were constrained in calling germline variants as those detectable in both the MDS patient and related donor, since only peripheral blood samples were available from the CIBMTR. Thus, we expect that 50% of related donors would not carry the variant. Moreover, because some germline predisposition disorders lead to cytopenias or other clinical features, some relatives with those variants may have been excluded as HSCT donors. We also expect that some variants deemed variants of uncertain significance are pathogenic, but will require segregation or functional studies to upgrade them into deleterious categories. Finally, our HSCT outcome measurements are underpowered due to the small numbers of MDS patients with each disorder. Based on the ACMG's recommendation to test clinical germline predisposition when positive findings are anticipated at >5%, our data support comprehensive germline genetic testing for all MDS patients regardless of their age at diagnosis or family history. Testing should include analysis of both SNVs and CNVs in genes and non-coding regions known to contain cancer predisposition alleles. Our data also justify a larger study to evaluate clinical impact of pathogenic germline variants on transplant outcomes. Until we know the impact of deleterious germline variants on HSCT outcomes, we continue to recommend avoiding using HSCT donors with such variants whenever possible given the risk of poor graft function/failure and donor-derived leukemias in HSCT recipients. Figure 1 Figure 1. Disclosures Scott: Bristol Myers Squibb: Consultancy, Honoraria, Research Funding. Sobecks: CareDX: Membership on an entity's Board of Directors or advisory committees. Saber: Govt. COI: Other.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».