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Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma

Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma
Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma
We used genome-wide methylation microarrays to analyze differences in CpG methylation patterns in cells relevant to the pathogenesis of myeloma plasma cells (B cells, normal plasma cells, monoclonal gammopathy of undetermined significance [MGUS], presentation myeloma, and plasma cell leukemia). We show that methylation patterns in these cell types are capable of distinguishing nonmalignant from malignant cells and the main reason for this difference is hypomethylation of the genome at the transition from MGUS to presentation myeloma. In addition, gene-specific hypermethylation was evident at the myeloma stage. Differential methylation was also evident at the transition from myeloma to plasma cell leukemia with remethylation of the genome, particularly of genes involved in cell–cell signaling and cell adhesion, which may contribute to independence from the bone marrow microenvironment. There was a high degree of methylation variability within presentation myeloma samples, which was associated with cytogenetic differences between samples. More specifically, we found methylation subgroups were defined by translocations and hyperdiploidy, with t(4;14) myeloma having the greatest impact on DNA methylation. Two groups of hyperdiploid samples were identified, on the basis of unsupervised clustering, which had an impact on overall survival. Overall, DNA methylation changes significantly during disease progression and between cytogenetic subgroups
0006-4971
553-562
Walker, Brian A.
7e45e107-ca85-4368-8673-7177f2328405
Wardell, Chrostopher P.
a40591f2-6648-4589-944c-c25d283b1b5a
Chiecchio, Laura
3d2f63e3-3df1-4655-8478-00ecd89d009c
Smith, Emma M.
c60ef676-5050-4e6c-a1fe-1b348ddd93fb
Boyd, Kevin D.
20bdd6c8-3f06-4cab-9e12-99903ec18129
Neri, Antonio
b716a471-0991-41f0-9284-35dae7899ed5
Davies, Faith E.
9ea9e143-ac51-431b-8cb5-57b8dc0a38af
Ross, Fiona M.
ec0958f8-b992-4e4a-b7e3-c474600390ba
Morgan, Gareth J.
d285dcf8-ac2c-4fe0-acf9-4787eb025939
Walker, Brian A.
7e45e107-ca85-4368-8673-7177f2328405
Wardell, Chrostopher P.
a40591f2-6648-4589-944c-c25d283b1b5a
Chiecchio, Laura
3d2f63e3-3df1-4655-8478-00ecd89d009c
Smith, Emma M.
c60ef676-5050-4e6c-a1fe-1b348ddd93fb
Boyd, Kevin D.
20bdd6c8-3f06-4cab-9e12-99903ec18129
Neri, Antonio
b716a471-0991-41f0-9284-35dae7899ed5
Davies, Faith E.
9ea9e143-ac51-431b-8cb5-57b8dc0a38af
Ross, Fiona M.
ec0958f8-b992-4e4a-b7e3-c474600390ba
Morgan, Gareth J.
d285dcf8-ac2c-4fe0-acf9-4787eb025939

Walker, Brian A., Wardell, Chrostopher P., Chiecchio, Laura, Smith, Emma M., Boyd, Kevin D., Neri, Antonio, Davies, Faith E., Ross, Fiona M. and Morgan, Gareth J. (2011) Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma. Blood, 117 (2), 553-562. (doi:10.1182/blood-2010-04-279539). (PMID:20944071)

Record type: Article

Abstract

We used genome-wide methylation microarrays to analyze differences in CpG methylation patterns in cells relevant to the pathogenesis of myeloma plasma cells (B cells, normal plasma cells, monoclonal gammopathy of undetermined significance [MGUS], presentation myeloma, and plasma cell leukemia). We show that methylation patterns in these cell types are capable of distinguishing nonmalignant from malignant cells and the main reason for this difference is hypomethylation of the genome at the transition from MGUS to presentation myeloma. In addition, gene-specific hypermethylation was evident at the myeloma stage. Differential methylation was also evident at the transition from myeloma to plasma cell leukemia with remethylation of the genome, particularly of genes involved in cell–cell signaling and cell adhesion, which may contribute to independence from the bone marrow microenvironment. There was a high degree of methylation variability within presentation myeloma samples, which was associated with cytogenetic differences between samples. More specifically, we found methylation subgroups were defined by translocations and hyperdiploidy, with t(4;14) myeloma having the greatest impact on DNA methylation. Two groups of hyperdiploid samples were identified, on the basis of unsupervised clustering, which had an impact on overall survival. Overall, DNA methylation changes significantly during disease progression and between cytogenetic subgroups

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e-pub ahead of print date: 13 October 2010
Published date: 13 January 2011
Organisations: Human Development & Health

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Local EPrints ID: 337719
URI: http://eprints.soton.ac.uk/id/eprint/337719
ISSN: 0006-4971
PURE UUID: 69fd7c48-09dd-47fb-8ff4-6f2706a01cf4

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Date deposited: 02 May 2012 14:16
Last modified: 14 Mar 2024 10:57

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Contributors

Author: Brian A. Walker
Author: Chrostopher P. Wardell
Author: Laura Chiecchio
Author: Emma M. Smith
Author: Kevin D. Boyd
Author: Antonio Neri
Author: Faith E. Davies
Author: Fiona M. Ross
Author: Gareth J. Morgan

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