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Record W3211885324 · doi:10.1182/blood-2021-148866

Deleterious Germline Variants Are Present in Patients with Myelodysplastic Syndrome of All Ages Treated with Related Allogeneic Stem Cell Transplantation

2021· article· en· W3211885324 on OpenAlexaff
Simone Feurstein, Amy M. Trottier, Noel Estrada‐Merly, Matthew Pozsgai, Kelsey E. McNeely, Michael W. Drazer, Bart L. Scott, Betül Oran, Coleman Lindsley, Ryotaro Nakamura, Ronald Sobecks, Soyoung Kim, Stephen R. Spellman, Wael Saber, Lucy A. Godley

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsGermlineTransplantationHematopoietic stem cell transplantationMedicineMedical geneticsMyelodysplastic syndromesGeneticsGermline mutationBiologyInternal medicineBone marrowMutationGene

Abstract

fetched live from OpenAlex

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.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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
Published2021
Admission routes1
Has abstractyes

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