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Somatic Mutations Associated with Myeloid Transformation of RUNX1 -Mutated Familial Platelet Disorders with Propensity to Myeloid Malignancies Using Targeted Next-Generation Sequencing

2017· article· en· W3158536935 on OpenAlexaff
Bruno Kosa Lino Duarte, Samuel Souza Medina, Gabriela G Yamaguti-Hayakawa, Fernando Ferreira Costa, Michael J. Rauh, Margareth C. Ozelo

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsRUNX1Platelet disorderCEBPAMyeloid leukemiaMyelodysplastic syndromesMyeloidMedicineLeukemiaBiologyOncologyCancer researchGeneticsBone marrowInternal medicineMutationHaematopoiesisGeneStem cell

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION RUNX1 is a master transcription factor associated with hematopoiesis. Germ-line RUNX1 mutations are associated with familial thrombocytopenia and platelet disorders with bleeding phenotype and propensity to myeloid malignancies (FPDMM), such as myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Although only 40 families with germ-line RUNX1 mutations have been described, its autosomal dominant inheritance pattern and the finding that 50% of the families with more than one first degree relative with MDS and/or AML had RUNX1 mutations underscore the importance of this entity. Despite the elevated frequency of transformation to AML/MDS the array of somatic mutations involved in this process is not fully characterized. Here we describe three patients from two families who had a diagnosis of FPDMM, progressed to MDS and/or AML and had DNA samples available for Next-Generation Sequencing (NGS). METHODS We identified five patients from two different family pedigrees with AML/MDS between 2014 and 2016. We've had access to DNA samples from three of these patients extracted from one of three sources (buccal swab, peripheral blood leukocytes, and bone marrow) throughout their follow-up. Patients agreed with sample collection after informed consent, according to the Declaration of Helsinki. NGS was performed using a custom-designed 48 gene panel related to myeloid malignancies, using the IonTorrent® sequencing platform as previously described (PMID: 28486043). RESULTS The pedigrees of both families are described in Figure 1. Patient I-2 from pedigree 1 was diagnosed with acute lymphoblastic leukemia at age 57 and died shortly after. Her son, patient II-3 came to us initially with thrombocytopenia (80,000-100,000/ μl) and mild bleeding symptoms (bleeding assessment tool score: 3) 12 years prior to his AML diagnosis. He also had a colorectal cancer (treated surgically) diagnosed 6 months prior. At AML diagnosis, he had a normal karyotype and underwent standard induction chemotherapy and achieved a complete response. He received one cycle of consolidation with high-dose cytarabine and died shortly after due to metastatic colorectal cancer. His oral epithelial cell DNA sample from the beginning of follow-up was positive for a RUNX1 p.Arg166Ter mutation. Bone marrow (BM) DNA sample from the AML diagnosis showed an additional p.Arg204Ter RUNX1 mutation and an additional p.Gln139fs NFE2 mutation. Patients III-4 and III-5 from pedigree 2 belonged to a family with an extensive previous history of thrombocytopenia and AML. Patient III-5 came to us with thrombocytopenia (50,000-70,000/μl) 2 years prior his AML diagnosis. BM DNA obtained at this time was positive for a p.Arg201Ter RUNX1 mutation and for a p.Pro95Arg SRSF2 mutation. At AML diagnosis, his karyotype was normal and BM DNA was positive for a p.Gly12Asp NRAS mutation in addition to the aforementioned mutations. He underwent three cycles of induction and received a matched unrelated donor bone marrow transplant (BMT) while in refractory disease. He achieved a complete remission that lasted a year and is currently under treatment with hypomethylating agents. His oral epithelial cell DNA sample obtained prior his BMT was only positive for the RUNX1 p.Arg201Ter mutation. Patient III-4 had been followed up for thrombocytopenia for three years and presented to us with pancytopenia and multilineage dysplasia. BM DNA at the onset of pancytopenia showed a p.Arg201Ter RUNX 1 mutation, and emerging TET2 Ser471fs and NRAS Gly12Asp mutations. These findings are summarized in Table 1. CONCLUSIONS We report a longitudinal DNA sequencing follow-up of three patients with FPDMM. Our findings highlight the heterogeneity of genetic pathways to myeloid transformation in FPDMM. Some of these, as loss of the functioning RUNX1, have already been described. However, here we report for the first time the association of NFE2 and NRAS mutations with myeloid transformation in FPDMM. Download : Download high-res image (84KB) Download : Download full-size image Disclosures Ozelo: Pfizer: Consultancy, Research Funding, Speakers Bureau; Roche: Consultancy, Speakers Bureau; CSL Behing: Consultancy; Shire: Consultancy, Research Funding, Speakers Bureau; Biogen: Consultancy, Research Funding, Speakers Bureau; Grifols: Speakers Bureau; Novo Nordisk: Consultancy, Research Funding, Speakers Bureau.

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)0.000
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.063
GPT teacher head0.277
Teacher spread0.214 · 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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Published2017
Admission routes1
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