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A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma

A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma
A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma
Risk stratification in myeloma requires an accurate assessment of the presence of a range of molecular abnormalities including the differing IGH translocations and the recurrent copy number abnormalities that can impact clinical behavior. Currently, interphase fluorescence in situ hybridization is used to detect these abnormalities. High failure rates, slow turnaround, cost, and labor intensiveness make it difficult and expensive to use in routine clinical practice. Multiplex ligation-dependent probe amplification (MLPA), a molecular approach based on a multiplex polymerase chain reaction method, offers an alternative for the assessment of copy number changes present in the myeloma genome. Here, we provide evidence showing that MLPA is a powerful tool for the efficient detection of copy number abnormalities and when combined with expression assays, MLPA can detect all of the prognostically relevant molecular events which characterize presenting myeloma. This approach opens the way for a molecular diagnostic strategy that is efficient, high throughput, and cost effective
1045-2257
91-98
Boyle, Eileen M.
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Proszek, Paula Z.
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Kaiser, Martin F.
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Begum, Dil
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Dahir, Nasrin
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Savola, Suvi
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Wardell, Christopher P.
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Leleu, Xavier
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Ross, Fiona M.
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Chiecchio, Laura
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Cook, Gordon
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Drayson, Mark T.
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Owen, Richard G.
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Ashcroft, John M.
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Jackson, Graham H.
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Anthony Child, James
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Davies, Faith E.
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Walker, Brian A.
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Morgan, Gareth J.
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Boyle, Eileen M.
8c4cdeeb-da97-40b8-8349-1214f09a7f93
Proszek, Paula Z.
ce89cd92-8398-4ff3-9950-e66d239b19e6
Kaiser, Martin F.
06cc69df-57a7-405d-abc8-06a6ae1cdc78
Begum, Dil
eb3674a1-328f-47e0-8179-434ee4152197
Dahir, Nasrin
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Savola, Suvi
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Wardell, Christopher P.
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Leleu, Xavier
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Ross, Fiona M.
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Chiecchio, Laura
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Cook, Gordon
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Drayson, Mark T.
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Owen, Richard G.
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Ashcroft, John M.
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Jackson, Graham H.
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Anthony Child, James
df3d0ea2-9ca9-4d71-adb5-ff3348b5fe35
Davies, Faith E.
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Walker, Brian A.
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Morgan, Gareth J.
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Boyle, Eileen M., Proszek, Paula Z., Kaiser, Martin F., Begum, Dil, Dahir, Nasrin, Savola, Suvi, Wardell, Christopher P., Leleu, Xavier, Ross, Fiona M., Chiecchio, Laura, Cook, Gordon, Drayson, Mark T., Owen, Richard G., Ashcroft, John M., Jackson, Graham H., Anthony Child, James, Davies, Faith E., Walker, Brian A. and Morgan, Gareth J. (2015) A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma. Genes, Chromosomes and Cancer, 54 (2), 91-98. (doi:10.1002/gcc.22222). (PMID:25287954)

Record type: Article

Abstract

Risk stratification in myeloma requires an accurate assessment of the presence of a range of molecular abnormalities including the differing IGH translocations and the recurrent copy number abnormalities that can impact clinical behavior. Currently, interphase fluorescence in situ hybridization is used to detect these abnormalities. High failure rates, slow turnaround, cost, and labor intensiveness make it difficult and expensive to use in routine clinical practice. Multiplex ligation-dependent probe amplification (MLPA), a molecular approach based on a multiplex polymerase chain reaction method, offers an alternative for the assessment of copy number changes present in the myeloma genome. Here, we provide evidence showing that MLPA is a powerful tool for the efficient detection of copy number abnormalities and when combined with expression assays, MLPA can detect all of the prognostically relevant molecular events which characterize presenting myeloma. This approach opens the way for a molecular diagnostic strategy that is efficient, high throughput, and cost effective

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e-pub ahead of print date: 7 October 2014
Published date: February 2015
Organisations: Human Development & Health

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Local EPrints ID: 369937
URI: http://eprints.soton.ac.uk/id/eprint/369937
ISSN: 1045-2257
PURE UUID: 4d3c2bd1-70f5-4d94-9e09-d78e6a0888a6

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Date deposited: 14 Oct 2014 12:37
Last modified: 16 Dec 2019 20:22

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Contributors

Author: Eileen M. Boyle
Author: Paula Z. Proszek
Author: Martin F. Kaiser
Author: Dil Begum
Author: Nasrin Dahir
Author: Suvi Savola
Author: Christopher P. Wardell
Author: Xavier Leleu
Author: Fiona M. Ross
Author: Laura Chiecchio
Author: Gordon Cook
Author: Mark T. Drayson
Author: Richard G. Owen
Author: John M. Ashcroft
Author: Graham H. Jackson
Author: James Anthony Child
Author: Faith E. Davies
Author: Brian A. Walker
Author: Gareth J. Morgan

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