Literature DB >> 26476543

Clinical Evaluation of a Novel Nine-Gene Panel for Ion Torrent PGM Sequencing of Myeloid Malignancies.

Milena Ivanova, Velizar Shivarov, Ivan Pavlov, Konstantinos Lilakos, Elissaveta Naumova.   

Abstract

BACKGROUND AND
OBJECTIVE: In the last decade, a number of genes have been reported to be recurrently associated with myeloid malignancies. While some mutations are easily detectable by conventional molecular genetics methods, other mutations are more difficult to screen because of lower frequency and being scattered along large genomic ranges. However, newly developed approaches for next-generation sequencing provide an affordable solution for targeted multiplex resequencing of up to several hundreds of amplicons. Here, we aimed to develop and validate a novel custom panel for targeted resequencing of myeloid malignancy samples using the Ion PGM(™) System (Ion Torrent, Paisley, UK).
METHODS: We designed a pool of 424 primers for the amplification of 212 amplicons covering 99.46 % of the exonic regions of nine human genes as follows: ASXL1, EZH2, CALR, RUNX1, SETBP1, SF3B1, SRSF2, TET2, and U2AF1. Initial testing of the panel performance was performed on an Ion PGM(™) machine using PGM(™) 316 v2 chips on 16 DNA samples from patients with myeloid malignancies. Sequence alignment, variant calling, and annotation were performed using Ion Reporter software.
RESULTS: We identified a total of 14 nonsynonymous somatic coding variants in seven samples affecting six of the genes in the panel (ASXL1, CALR, RUNX1, SRSF2, TET2, and U2AF1). Notably, three of the identified mutations were not present in the Cosmic v.67 release.
CONCLUSION: This proof-of-concept study confirms the feasibility of Ion Torrent systems for resequencing of clinically relevant mutations in myeloid malignancies. It can be particularly useful in cases without the most frequent clonal markers.

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Year:  2016        PMID: 26476543     DOI: 10.1007/s40291-015-0172-1

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  25 in total

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4.  Monitoring of residual disease by next-generation deep-sequencing of RUNX1 mutations can identify acute myeloid leukemia patients with resistant disease.

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5.  Clinical effect of point mutations in myelodysplastic syndromes.

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6.  Clonal evolution and clinical correlates of somatic mutations in myeloproliferative neoplasms.

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Review 8.  Myeloid malignancies: mutations, models and management.

Authors:  Anne Murati; Mandy Brecqueville; Raynier Devillier; Marie-Joelle Mozziconacci; Véronique Gelsi-Boyer; Daniel Birnbaum
Journal:  BMC Cancer       Date:  2012-07-23       Impact factor: 4.430

9.  A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers.

Authors:  Michael A Quail; Miriam Smith; Paul Coupland; Thomas D Otto; Simon R Harris; Thomas R Connor; Anna Bertoni; Harold P Swerdlow; Yong Gu
Journal:  BMC Genomics       Date:  2012-07-24       Impact factor: 3.969

10.  Validation of next generation sequencing technologies in comparison to current diagnostic gold standards for BRAF, EGFR and KRAS mutational analysis.

Authors:  Clare M McCourt; Darragh G McArt; Ken Mills; Mark A Catherwood; Perry Maxwell; David J Waugh; Peter Hamilton; Joe M O'Sullivan; Manuel Salto-Tellez
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2.  Inter-Laboratory Evaluation of a Next-Generation Sequencing Panel for Acute Myeloid Leukemia.

Authors:  Karl Haslam; Mark A Catherwood; Edwina Dobbin; Anne Sproul; Stephen E Langabeer; Ken I Mills
Journal:  Mol Diagn Ther       Date:  2016-10       Impact factor: 4.074

3.  The reliable assurance of detecting somatic mutations in cancer-related genes by next-generation sequencing: the results of external quality assessment in China.

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