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Homozygous deletion mapping in myeloma samples identifies genes and an expression signature relevant to pathogenesis and outcome

Homozygous deletion mapping in myeloma samples identifies genes and an expression signature relevant to pathogenesis and outcome
Homozygous deletion mapping in myeloma samples identifies genes and an expression signature relevant to pathogenesis and outcome
Purpose:

Myeloma is a clonal malignancy of plasma cells. Poor-prognosis risk is currently identified by clinical and cytogenetic features. However, these indicators do not capture all prognostic information. Gene expression analysis can be used to identify poor-prognosis patients and this can be improved by combination with information about DNA-level changes.

Experimental Design:

Using single nucleotide polymorphism-based gene mapping in combination with global gene expression analysis, we have identified homozygous deletions in genes and networks that are relevant to myeloma pathogenesis and outcome.

Results:

We identified 170 genes with homozygous deletions and corresponding loss of expression. Deletion within the "cell death" network was overrepresented and cases with these deletions had impaired overall survival. From further analysis of these events, we have generated an expression-based signature associated with shorter survival in 258 patients and confirmed this signature in data from two independent groups totaling 800 patients. We defined a gene expression signature of 97 cell death genes that reflects prognosis and confirmed this in two independent data sets.

Conclusions:

We developed a simple 6-gene expression signature from the 97-gene signature that can be used to identify poor-prognosis myeloma in the clinical environment. This signature could form the basis of future trials aimed at improving the outcome of poor-prognosis myeloma.
myeloma, prognostic, signature
1078-0432
1856-1864
Dickens, Nicholas J.
a22b3b23-76ab-493a-b34e-669a2c3ee1c4
Walker, Brian A.
7e45e107-ca85-4368-8673-7177f2328405
Leone, Paola E.
e510164f-5de4-4c77-bca7-769d52a51953
Johnson, David C.
95bd8f42-2b59-4788-86dd-a32087bf554b
Brito, José L.
1198facc-799c-4c2f-9815-3abf4ca133f3
Zeisig, Athanasia
c956942a-b6c4-4ede-b4da-70961cd6fc23
Jenner, Matthew W.
af4d9ce0-1282-4eb3-8440-98b16ee7cc85
Boyd, Kevin D.
20bdd6c8-3f06-4cab-9e12-99903ec18129
Gonzalez, David
23765c4d-1658-40fd-a487-bc11bad2aea3
Gregory, Walter M.
4a7a4c5a-0a88-4ba2-8f08-0c035dd0b6db
Ross, Fiona M.
ec0958f8-b992-4e4a-b7e3-c474600390ba
Davies, Faith E.
9ea9e143-ac51-431b-8cb5-57b8dc0a38af
Morgan, Gareth J.
d285dcf8-ac2c-4fe0-acf9-4787eb025939
Dickens, Nicholas J.
a22b3b23-76ab-493a-b34e-669a2c3ee1c4
Walker, Brian A.
7e45e107-ca85-4368-8673-7177f2328405
Leone, Paola E.
e510164f-5de4-4c77-bca7-769d52a51953
Johnson, David C.
95bd8f42-2b59-4788-86dd-a32087bf554b
Brito, José L.
1198facc-799c-4c2f-9815-3abf4ca133f3
Zeisig, Athanasia
c956942a-b6c4-4ede-b4da-70961cd6fc23
Jenner, Matthew W.
af4d9ce0-1282-4eb3-8440-98b16ee7cc85
Boyd, Kevin D.
20bdd6c8-3f06-4cab-9e12-99903ec18129
Gonzalez, David
23765c4d-1658-40fd-a487-bc11bad2aea3
Gregory, Walter M.
4a7a4c5a-0a88-4ba2-8f08-0c035dd0b6db
Ross, Fiona M.
ec0958f8-b992-4e4a-b7e3-c474600390ba
Davies, Faith E.
9ea9e143-ac51-431b-8cb5-57b8dc0a38af
Morgan, Gareth J.
d285dcf8-ac2c-4fe0-acf9-4787eb025939

Dickens, Nicholas J., Walker, Brian A., Leone, Paola E., Johnson, David C., Brito, José L., Zeisig, Athanasia, Jenner, Matthew W., Boyd, Kevin D., Gonzalez, David, Gregory, Walter M., Ross, Fiona M., Davies, Faith E. and Morgan, Gareth J. (2010) Homozygous deletion mapping in myeloma samples identifies genes and an expression signature relevant to pathogenesis and outcome. Clinical Cancer Research, 16 (6), 1856-1864. (doi:10.1158/1078-0432.CCR-09-2831).

Record type: Article

Abstract

Purpose:

Myeloma is a clonal malignancy of plasma cells. Poor-prognosis risk is currently identified by clinical and cytogenetic features. However, these indicators do not capture all prognostic information. Gene expression analysis can be used to identify poor-prognosis patients and this can be improved by combination with information about DNA-level changes.

Experimental Design:

Using single nucleotide polymorphism-based gene mapping in combination with global gene expression analysis, we have identified homozygous deletions in genes and networks that are relevant to myeloma pathogenesis and outcome.

Results:

We identified 170 genes with homozygous deletions and corresponding loss of expression. Deletion within the "cell death" network was overrepresented and cases with these deletions had impaired overall survival. From further analysis of these events, we have generated an expression-based signature associated with shorter survival in 258 patients and confirmed this signature in data from two independent groups totaling 800 patients. We defined a gene expression signature of 97 cell death genes that reflects prognosis and confirmed this in two independent data sets.

Conclusions:

We developed a simple 6-gene expression signature from the 97-gene signature that can be used to identify poor-prognosis myeloma in the clinical environment. This signature could form the basis of future trials aimed at improving the outcome of poor-prognosis myeloma.

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More information

Published date: 14 March 2010
Keywords: myeloma, prognostic, signature

Identifiers

Local EPrints ID: 152957
URI: http://eprints.soton.ac.uk/id/eprint/152957
ISSN: 1078-0432
PURE UUID: f58bd4ba-79e8-492f-aca0-25966d5a7c46

Catalogue record

Date deposited: 18 May 2010 15:41
Last modified: 14 Mar 2024 01:26

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Contributors

Author: Nicholas J. Dickens
Author: Brian A. Walker
Author: Paola E. Leone
Author: David C. Johnson
Author: José L. Brito
Author: Athanasia Zeisig
Author: Matthew W. Jenner
Author: Kevin D. Boyd
Author: David Gonzalez
Author: Walter M. Gregory
Author: Fiona M. Ross
Author: Faith E. Davies
Author: Gareth J. Morgan

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