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Enregistrement W3158536935 · doi:10.1182/blood.v130.suppl_1.2482.2482

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 sur OpenAlexaff
Bruno Kosa Lino Duarte, Samuel Souza Medina, Gabriela G Yamaguti-Hayakawa, Fernando Ferreira Costa, Michael J. Rauh, Margareth C. Ozelo

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésRUNX1Platelet disorderCEBPAMyeloid leukemiaMyelodysplastic syndromesMyeloidMedicineLeukemiaBiologyOncologyCancer researchGeneticsBone marrowInternal medicineMutationHaematopoiesisGeneStem cell

Résumé

récupéré en direct d'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.

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 seuil0,005

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
Bibliométrie0,0010,001
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 Opus0,063
Tête enseignante GPT0,277
Écart entre enseignants0,214 · 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
Publié2017
Routes d'admission1
Résumé présentoui

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