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Enregistrement W2988223869 · doi:10.1182/blood-2019-126893

The Clinical Application of Oncomine Myeloid Next Generation Sequencing (NGS): Comparison of Cytogenetics and NGS in Patients with Suspected Myelodysplastic Syndrome

2019· article· en· W2988223869 sur OpenAlexaffabout
Eri Kawata, Anargyros Xenocostas, Cyrus C. Hsia, Uday Deotare, Lalit Saini, Ping Yang, Michael A. Levy, Hanxin Lin, Bekim Sadiković, Ian Chin‐Yee

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensWestern UniversityLondon Health Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineMyelodysplastic syndromesCytopeniaInternal medicineOncologyMyeloid leukemiaCytogeneticsPopulationBone marrowBiology

Résumé

récupéré en direct d'OpenAlex

Background: A common referral to hematology is for patients with suspected myelodysplastic syndrome (MDS) or cytopenias of undetermined origin. We recently implemented a Next Generation Sequencing (NGS) panel which covers a wide spectrum of genes related to the major myeloid disorders, including DNA based gene sequencing and RNA based gene fusion analysis, as a tier one clinical diagnostic test (Levy et al. Eur. J. Haematol 2019). We compared the diagnostic and prognostic information derived from conventional cytogenetics and NGS testing as well as the clinical impact on management in this patient group. Methods: We identified all new cases with suspected MDS or cytopenias of undetermined origin referred between January 2018 to February 2019 that had both NGS and cytogenetic testing at London Health Sciences Centre, a tertiary care centre servicing a population of approximately 2.5 million in Southwestern Ontario, Canada. From the retrospective review of electronic medical record, patient demographics, diagnosis and management were ascertained. Diagnosis was based on the 2016 WHO classification and the ICD-10.Previously reported definitions for ICUS, IDUS, CHIP, and CCUSwere also adopted (Bejar et al. Leukemia 2017). Patients not meeting these criteria were defined as either cytopenia not yet determined (NYD) or secondary to other systemic disease. The impact of NGS and cytogenetics results on diagnosis, prognosis, and management of each disease were assessed by referring to the latest National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology. Either a bone marrow (BM) or peripheral blood (PB) sample from each patient was assessed by the Oncomine Myeloid NGS panel (Thermo-Fisher, MA, USA), which examines DNA sequence variants in 40 genes (17 full genes and 23 hotspot genes) along with an RNA-based panel of 29 fusion driver genes and their over 600 fusion partners. Patients' BM samples were also tested by the conventional cytogenetic G-banding method. Results: Of the 1100 samples assessed by NGS, 178 met the study inclusion criteria. Overall, 120 (67.4%) patients had both cytogenetics and NGS performed on their BM samples. Of those 120 patients, 41 (34.2%) had DNA mutations, 17 (14.2%) had cytogenetic abnormalities, 22 (18.3%) had both molecular and cytogenetic findings, and 40 (33.3%) had neither abnormality identified. NGS Information contributed in diagnosing 13 (10.8%) patients, while cytogenetics in 6 (5%) patients. In addition, of 38 patients who were diagnosed as MDS with good/intermediate risk cytogenetics, 24 (63.2%) harbored poor prognostic risk mutations as detected by NGS (Table), influencing the management of disease. Additionally, 22 (12.4%) of all patients had NGS testing using PB and cytogenetics using BM samples, and of these 13 (52.2%) patients had NGS abnormalities. Finally, 36 (20.2%) of all patients had only NGS testing by PB samples. Of those, 12 (33.3%) were found to harbor at least one gene mutation including ASXL1, TP53, ZRSR2, and STAG1 suggesting poor prognostic significance for diagnoses of MDS, or JAK2, SF3B1 which could support a disease specific diagnosis. Conclusion: NGS had enhanced diagnostic capabilities including classification of newly described entities such as ICUS or CCUS and more importantly yielded additional prognostic information compared to cytogenetics alone for this patient population. Cytogenetic findings were mainly aneuploidy or deletions, either clinically evident constitutional abnormalities such as Trisomy 21 and +X in Klinefelter syndrome, or loss of Y chromosome in a small proportion of cells and thus of questionable clinical significance. Based on this information consideration should be given to using the NGS panel as the primary molecular diagnostic and prognostic tool with karyotyping being reserved for subsets of patients being assessed for suspected MDS or cytopenias of undetermined origin. Disclosures Hsia: Amgen: Honoraria; Jansen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees.

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)0,002
score de la tête « metaresearch » (Gemma)0,006
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 enseignants0,005
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
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 savante0,0010,000
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 Opus0,041
Tête enseignante GPT0,314
Écart entre enseignants0,273 · 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
Publié2019
Routes d'admission2
Résumé présentoui

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