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A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia
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 disea...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ferrata Storti Foundation
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355493/ https://www.ncbi.nlm.nih.gov/pubmed/30093399 http://dx.doi.org/10.3324/haematol.2018.194712 |
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author | Onecha, Esther Linares, Maria Rapado, Inmaculada Ruiz-Heredia, Yanira Martinez-Sanchez, Pilar Cedena, Teresa Pratcorona, Marta Oteyza, Jaime Perez Herrera, Pilar Barragan, Eva Montesinos, Pau Vela, Jose Antonio Garcia Magro, Elena Anguita, Eduardo Figuera, Angela Riaza, Rosalia Martinez-Barranco, Pilar Sanchez-Vega, Beatriz Nomdedeu, Josep Gallardo, Miguel Martinez-Lopez, Joaquin Ayala, Rosa |
author_facet | Onecha, Esther Linares, Maria Rapado, Inmaculada Ruiz-Heredia, Yanira Martinez-Sanchez, Pilar Cedena, Teresa Pratcorona, Marta Oteyza, Jaime Perez Herrera, Pilar Barragan, Eva Montesinos, Pau Vela, Jose Antonio Garcia Magro, Elena Anguita, Eduardo Figuera, Angela Riaza, Rosalia Martinez-Barranco, Pilar Sanchez-Vega, Beatriz Nomdedeu, Josep Gallardo, Miguel Martinez-Lopez, Joaquin Ayala, Rosa |
author_sort | Onecha, Esther |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6355493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Ferrata Storti Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-63554932019-02-14 A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia Onecha, Esther Linares, Maria Rapado, Inmaculada Ruiz-Heredia, Yanira Martinez-Sanchez, Pilar Cedena, Teresa Pratcorona, Marta Oteyza, Jaime Perez Herrera, Pilar Barragan, Eva Montesinos, Pau Vela, Jose Antonio Garcia Magro, Elena Anguita, Eduardo Figuera, Angela Riaza, Rosalia Martinez-Barranco, Pilar Sanchez-Vega, Beatriz Nomdedeu, Josep Gallardo, Miguel Martinez-Lopez, Joaquin Ayala, Rosa Haematologica Article 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. Ferrata Storti Foundation 2019-02 /pmc/articles/PMC6355493/ /pubmed/30093399 http://dx.doi.org/10.3324/haematol.2018.194712 Text en Copyright © 2019 Ferrata Storti Foundation Material published in Haematologica is covered by copyright. All rights are reserved to the Ferrata Storti Foundation. Use of published material is allowed under the following terms and conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode. Copies of published material are allowed for personal or internal use. Sharing published material for non-commercial purposes is subject to the following conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode, sect. 3. Reproducing and sharing published material for commercial purposes is not allowed without permission in writing from the publisher. |
spellingShingle | Article Onecha, Esther Linares, Maria Rapado, Inmaculada Ruiz-Heredia, Yanira Martinez-Sanchez, Pilar Cedena, Teresa Pratcorona, Marta Oteyza, Jaime Perez Herrera, Pilar Barragan, Eva Montesinos, Pau Vela, Jose Antonio Garcia Magro, Elena Anguita, Eduardo Figuera, Angela Riaza, Rosalia Martinez-Barranco, Pilar Sanchez-Vega, Beatriz Nomdedeu, Josep Gallardo, Miguel Martinez-Lopez, Joaquin Ayala, Rosa A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
title | A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
title_full | A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
title_fullStr | A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
title_full_unstemmed | A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
title_short | A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
title_sort | novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355493/ https://www.ncbi.nlm.nih.gov/pubmed/30093399 http://dx.doi.org/10.3324/haematol.2018.194712 |
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