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Two Novel Methods for Rapid Detection and Quantification of DNMT3A R882 Mutations in Acute Myeloid Leukemia

Overview of attention for article published in The Journal of Molecular Diagnostics, December 2014
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Title
Two Novel Methods for Rapid Detection and Quantification of DNMT3A R882 Mutations in Acute Myeloid Leukemia
Published in
The Journal of Molecular Diagnostics, December 2014
DOI 10.1016/j.jmoldx.2014.10.003
Pubmed ID
Authors

Melissa Mancini, Syed Khizer Hasan, Tiziana Ottone, Serena Lavorgna, Claudia Ciardi, Daniela F. Angelini, Francesca Agostini, Adriano Venditti, Francesco Lo-Coco

Abstract

DNMT3A mutations represent one of the most frequent gene alterations detectable in acute myeloid leukemia with normal karyotype. Although various recurrent somatic mutations of DNMT3A have been described, the most common mutation is located at amino acid R882 in the methyltransferase domain of the gene. DNMT3A mutations have been reported to be stable during disease progression and are associated with unfavorable outcome in acute myeloid leukemia patients with normal karyotype. Because of their prognostic significance and high stability during disease evolution, DNMT3A mutations might represent highly informative biomarkers for minimal residual disease monitoring. We describe a new rapid diagnostic RT-PCR assay based on TauI restriction enzyme reaction to identify DNMT3A R882 mutations at diagnosis. In addition, we developed a sensitive and specific test based on peptide nucleic acid real-time PCR technology to monitor DNMT3A R882H mutation. We identified 24 DNMT3A R882H mutated patients out of 134 acute myeloid leukemia screened samples and we analyzed in these patients the kinetics of minimal residual disease after induction and consolidation therapy. This assay may be useful to better assess response to therapy in patients with acute myeloid leukemia bearing the DNMT3A R882H mutation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 5 16%
Student > Doctoral Student 3 9%
Student > Postgraduate 2 6%
Professor > Associate Professor 2 6%
Other 4 13%
Unknown 10 31%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 4 13%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 13 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 March 2015.
All research outputs
#20,947,998
of 25,728,855 outputs
Outputs from The Journal of Molecular Diagnostics
#1,145
of 1,316 outputs
Outputs of similar age
#269,187
of 361,969 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#12
of 14 outputs
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