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Next-Generation Sequencing Improves Diagnosis, Prognosis and Clinical Management of Myeloid Neoplasms.

Authors :
Carbonell, Diego
Suárez-González, Julia
Chicano, María
Andrés-Zayas, Cristina
Triviño, Juan Carlos
Rodríguez-Macías, Gabriela
Bastos-Oreiro, Mariana
Font, Patricia
Ballesteros, Mónica
Muñiz, Paula
Balsalobre, Pascual
Kwon, Mi
Anguita, Javier
Díez-Martín, José Luis
Buño, Ismael
Martínez-Laperche, Carolina
Source :
Cancers; Sep2019, Vol. 11 Issue 9, p1364-1364, 1p
Publication Year :
2019

Abstract

Molecular diagnosis of myeloid neoplasms (MN) is based on the detection of multiple genetic alterations using various techniques. Next-generation sequencing (NGS) has been proved as a useful method for analyzing many genes simultaneously. In this context, we analyzed diagnostic samples from 121 patients affected by MN and ten relapse samples from a subset of acute myeloid leukemia patients using two enrichment-capture NGS gene panels. Pathogenicity classification of variants was enhanced by the development and application of a custom onco-hematology score. A total of 278 pathogenic variants were detected in 84% of patients. For structural alterations, 82% of those identified by cytogenetics were detected by NGS, 25 of 31 copy number variants and three out of three translocations. The detection of variants using NGS changed the diagnosis of seven patients and the prognosis of 15 patients and enabled us to identify 44 suitable candidates for clinical trials. Regarding AML, six of the ten relapsed patients lost or gained variants, comparing with diagnostic samples. In conclusion, the use of NGS panels in MN improves genetic characterization of the disease compared with conventional methods, thus demonstrating its potential clinical utility in routine clinical testing. This approach leads to better-adjusted treatments for each patient. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
11
Issue :
9
Database :
Complementary Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
138961559
Full Text :
https://doi.org/10.3390/cancers11091364