A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia
Author
Onecha, Esther; Linares, María; Rapado, Inmaculada; Ruiz-Heredia, Yanira; Martínez-Sánchez, Pilar; Cedena, Teresa; Pratcorona, Marta; Pçerez Oteyza, Jaime; Herrera, Pilar; Barragan, Eva; Montesinos, Pau; García Vela, José Antonio; Magro, Elena; Anguita, Eduardo; Figuera Álvarez, Ángela
Entity
UAM. Departamento de MedicinaPublisher
Ferrata Storti FoundationDate
2019-01-31Citation
10.3324/haematol.2018.194712
Haematologica 104.2 (2019): 288-296
ISSN
0390-6078 (print); 1592-8721 (online)DOI
10.3324/haematol.2018.194712Funded by
This study was supported by the Subdirección General de Investigación Sanitaria (Instituto de Salud Carlos III, Spain) grants PI13/02387 and PI16/01530, and the CRIS against Cancer foundation grant 2014/0120. ML holds a postdoctoral fellowship of the Spanish Ministry of Economy and Competitiveness (FPDI-2013- 16409). PRP holds a postdoctoral fellowship of the Spanish Instituto de Salud Carlos III: Contrato Predoctoral de Formación en Investigación en Salud i-PFIS (IFI 14/00008).Project
Gobierno de España. PI13/02387; Gobierno de España. PI16/01530Editor's Version
https://doi.org/10.3324/haematol.2018.194712Subjects
Myeloid leukemia; NPM1, IDH1/2 and/or FLT3-single; Multivariate analysis; Sequencing; MedicinaRights
© 2019 Ferrata Storti FoundationAbstract
A high proportion of patients with acute myeloid leukemia who achieve minimal residual disease negative status ultimately relapse because a fraction of pathological clones remains undetected by standard methods. We designed and validated a high-throughput sequencing method for minimal residual disease assessment of cell clonotypes with mutations of NPM1, IDH1/2 and/or FLT3-single nucleotide variants. For clinical validation, 106 follow-up samples from 63 patients in complete remission were studied by sequencing, evaluating the level of mutations detected at diagnosis. The predictive value of minimal residual disease status by sequencing, multiparameter flow cytometry, or quantitative polymerase chain reaction analysis was determined by survival analysis. The sequencing method achieved a sensitivity of 10 -4 for single nucleotide variants and 10 -5 for insertions/deletions and could be used in acute myeloid leukemia patients who carry any mutation (86% in our diagnostic data set). Sequencing-determined minimal residual disease positive status was associated with lower disease-free survival (hazard ratio 3.4, P=0.005) and lower overall survival (hazard ratio 4.2, P<0.001). Multivariate analysis showed that minimal residual disease positive status determined by sequencing was an independent factor associated with risk of death (hazard ratio 4.54, P=0.005) and the only independent factor conferring risk of relapse (hazard ratio 3.76, P=0.012). This sequencing-based method simplifies and standardizes minimal residual disease evaluation, with high applicability in acute myeloid leukemia. It is also an improvement upon flow cytometry- and quantitative polymerase chain reaction-based prediction of outcomes of patients with acute myeloid leukemia and could be incorporated in clinical settings and clinical trials
Files in this item
Google Scholar:Onecha, Esther
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Linares, María
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Rapado, Inmaculada
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Ruiz-Heredia, Yanira
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Martínez-Sánchez, Pilar
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Cedena, Teresa
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Pratcorona, Marta
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Pçerez Oteyza, Jaime
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Herrera, Pilar
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Barragan, Eva
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Montesinos, Pau
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García Vela, José Antonio
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Magro, Elena
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Anguita, Eduardo
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Figuera Álvarez, Ángela
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Riaza, Rosalía
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Martínez-Barranco, Pilar
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Sánchez-Vega, Beatriz
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Nomdedeu, Josep
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Gallardo, Miguel
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Martínez-López, Joaquín
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Ayala, Rosa
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