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Clinical Relevance of Sensitive and Quantitative STAT3Mutation Analysis Using Next-Generation Sequencing in T-Cell Large Granular Lymphocytic Leukemia

Authors :
Kristensen, Thomas
Larsen, Martin
Rewes, Annika
Frederiksen, Henrik
Thomassen, Mads
Møller, Michael Boe
Source :
The Journal of Molecular Diagnostics; July 2014, Vol. 16 Issue: 4 p382-392, 11p
Publication Year :
2014

Abstract

Diagnosis of T-cell large granular lymphocytic leukemia (T-LGL) is often challenging because clinical and laboratory characteristics are overlapping with nonneoplastic conditions. Recently, mutation in the STAT3gene has been identified as a recurrent genetic abnormality in T-LGL. STAT3mutation, therefore, represents a promising marker in T-LGL diagnostics. We developed a new quantitative next-generation sequencing assay that allows sensitive analysis of the STAT3gene. The assay was used to study the utility of STAT3mutation analysis as a diagnostic tool in T-LGL. The study included 16 T-LGL patients. A total of 15 mutations, including 2 new mutations (G618Rand K658R), were detected in 12 patients (75%), with mutation levels ranging from 2.5% to 45.6% mutation-positive alleles. Next-generation sequencing detected 50% more mutations than Sanger sequencing. Blood samples from 20 healthy blood donors all tested negative, thus demonstrating the specificity of the assay. The results also indicated that mutation levels in blood and bone marrow are not systematically different, and next-generation sequencing–based STAT3 mutation analysis represents a sensitive method for monitoring residual disease as demonstrated in a patient receiving pentostatin. We demonstrate the clinical relevance of next-generation sequencing–based STAT3mutation analysis, which represents a sensitive and specific diagnostic marker in T-LGL that allows assessment of molecular residual disease, which may improve clinical decision making.

Details

Language :
English
ISSN :
15251578
Volume :
16
Issue :
4
Database :
Supplemental Index
Journal :
The Journal of Molecular Diagnostics
Publication Type :
Periodical
Accession number :
ejs33100417
Full Text :
https://doi.org/10.1016/j.jmoldx.2014.02.005