Literature DB >> 30096382

High-Throughput Copy Number Profiling by Digital Multiplex Ligation-Dependent Probe Amplification in Multiple Myeloma.

Szabolcs Kosztolányi1, Richárd Kiss2, Lilit Atanesyan3, Ambrus Gángó2, Karel de Groot3, Maryvonne Steenkamer3, Pál Jáksó4, András Matolcsy2, Béla Kajtár4, László Pajor4, Károly Szuhai5, Suvi Savola3, Csaba Bödör2, Donát Alpár6.   

Abstract

Multiple myeloma (MM) is a genetically heterogeneous disease with a diverse clinical outcome. Copy number alterations (CNAs), including whole chromosome and subchromosomal gains and losses, are common contributors of the pathogenesis and have demonstrated prognostic impact in MM. We tested the performance of digital multiplex ligation-dependent probe amplification (digitalMLPA), a novel technique combining MLPA and next-generation sequencing, to detect disease-related CNAs. Copy number status at 371 genomic loci was simultaneously analyzed in 56 diagnostic bone marrow samples, which were also examined by conventional MLPA and interphase fluorescence in situ hybridization (iFISH). On average, digitalMLPA identified 4.4 subchromosomal CNAs per patient. The increased number of probes compared with conventional MLPA allowed a detailed mapping of CNAs, especially on chromosome 1, where 24 different patterns were observed in 38 patients harboring loss(1p) and/or gain(1q). iFISH, MLPA, and digitalMLPA results at loci investigated by multiple methods showed a congruency of 95%. Besides precise characterization of hyperdiploid karyotypes not efficiently achievable by iFISH or MLPA, digitalMLPA unraveled 156 CNAs not detected by the other two methods in 45 patients (80%). In addition, we provide proof of principle that digitalMLPA can detect known point mutations, in this case the BRAFV600E. Our study demonstrates the robustness of digitalMLPA to profile CNAs and to screen point mutations in MM, which could efficiently be used in myeloma diagnostics.
Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30096382     DOI: 10.1016/j.jmoldx.2018.06.004

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  3 in total

1.  Copy number evolution and its relationship with patient outcome-an analysis of 178 matched presentation-relapse tumor pairs from the Myeloma XI trial.

Authors:  James Croft; Sidra Ellis; Amy L Sherborne; Kim Sharp; Amy Price; Matthew W Jenner; Mark T Drayson; Roger G Owen; Sally Chown; Jindriska Lindsay; Kamaraj Karunanithi; Hannah Hunter; Walter M Gregory; Faith E Davies; Gareth J Morgan; Gordon Cook; Lilit Atanesyan; Suvi Savola; David A Cairns; Graham Jackson; Richard S Houlston; Martin F Kaiser
Journal:  Leukemia       Date:  2020-12-01       Impact factor: 11.528

2.  Evidence for ABL Amplification in Multiple Myeloma and Therapeutic Implications.

Authors:  He Huang; Shuping Zhou; Hongdou Lin; Wenjian Guo; Ying Lin; Ronxin Yao; Licai He; Kang Yu; Qian Li
Journal:  J Oncol       Date:  2022-03-15       Impact factor: 4.375

3.  Prider: multiplexed primer design using linearly scaling approximation of set coverage.

Authors:  Niina Smolander; Timothy R Julian; Manu Tamminen
Journal:  BMC Bioinformatics       Date:  2022-05-12       Impact factor: 3.307

  3 in total

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