Detection of minimal residual disease in NPM1-mutated acute myeloid leukemia by next-generation sequencing.
Detection of minimal residual disease in NPM1-mutated acute myeloid leukemia by next-generation sequencing.
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DOI:
10.1038/modpathol.2014.57
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发表时间:
2014-11
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影响因子:
--
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中科院分区:
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Detection of minimal residual disease predicts adverse outcome in patients with acute myeloid leukemia. Currently, minimal residual disease may be detected by RQ-PCR or flow cytometry, both of which have practical and diagnostic limitations. Here, we describe a next-generation sequencing assay for minimal residual disease detection in NPM1-mutated acute myeloid leukemia, which encompasses ∼60% of patients with normal karyotype acute myeloid leukemia. Exon 12 of NPM1 was PCR amplified using sequencing adaptor-linked primers and deep sequenced to enable detection of low-prevalence, acute myeloid leukemia-specific activating mutations. We benchmarked our results against flow cytometry, the standard-of-care for acute myeloid leukemia minimal residual disease diagnosis at our institution. The performance of both approaches was evaluated using defined dilutions of an NPM1-mutation positive cell line and longitudinal clinical samples from acute myeloid leukemia patients. Using defined control material, we found this assay sensitive to approximately 0.001% mutant cells, outperforming flow cytometry by an order-of-magnitude. Next-generation sequencing was precise and semi-quantitative over 4 orders-of-magnitude. In 22 longitudinal samples from 6 acute myeloid leukemia patients, next-generation sequencing detected minimal residual disease in all samples deemed negative by flow cytometry. Further, in one-third of patients, sequencing detected alternate NPM1-mutations in addition to the patient's index mutation, consistent with tumor heterogeneity. Next-generation sequencing provides information without prior knowledge of NPM1 mutation subtype or validation of allele-specific probes as required for RQ-PCR assays, and without generation and interpretation of complex multi-dimensional flow cytometry data. This approach may complement current technologies to enhance patient-specific clinical decision-making.
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影响因子:
158.5
作者:
Falini, B;Mecucci, C;Martelli, MF
通讯作者:
Martelli, MF
DOI:
10.1038/ismej.2012.8
发表时间:
2012-08
期刊:
The ISME journal
影响因子:
--
作者:
通讯作者:
--
影响因子:
4.1
作者:
Pritchard, Colin C.;Salipante, Stephen J.;Walsh, Tom
通讯作者:
Walsh, Tom
影响因子:
2.6
作者:
Bacher, Ulrike;Badbaran, Anita;Kroeger, Nicolaus
通讯作者:
Kroeger, Nicolaus
DOI:
10.1073/pnas.2335924100
发表时间:
2003-11-25
影响因子:
11.1
作者:
Ley, TJ;Minx, PJ;Wilson, RK
通讯作者:
Wilson, RK