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A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue

Myeloma is characterized by a highly variable clinical outcome. Despite the effectiveness of high-dose therapy, 15% of patients relapse within 1 year. We show that these cases also have a significantly shorter post-relapse survival compared to the others (median 14.9 months vs. 40 months, p = 8.03 ×...

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Autores principales: Wu, Ping, Walker, Brian A., Broyl, Annemiek, Kaiser, Martin, Johnson, David C., Kuiper, Rowan, van Duin, Mark, Gregory, Walter M., Davies, Faith E., Brewer, Daniel, Hose, Dirk, Sonneveld, Pieter, Morgan, Gareth J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444991/
https://www.ncbi.nlm.nih.gov/pubmed/24913504
http://dx.doi.org/10.3109/10428194.2014.911863
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author Wu, Ping
Walker, Brian A.
Broyl, Annemiek
Kaiser, Martin
Johnson, David C.
Kuiper, Rowan
van Duin, Mark
Gregory, Walter M.
Davies, Faith E.
Brewer, Daniel
Hose, Dirk
Sonneveld, Pieter
Morgan, Gareth J.
author_facet Wu, Ping
Walker, Brian A.
Broyl, Annemiek
Kaiser, Martin
Johnson, David C.
Kuiper, Rowan
van Duin, Mark
Gregory, Walter M.
Davies, Faith E.
Brewer, Daniel
Hose, Dirk
Sonneveld, Pieter
Morgan, Gareth J.
author_sort Wu, Ping
collection PubMed
description Myeloma is characterized by a highly variable clinical outcome. Despite the effectiveness of high-dose therapy, 15% of patients relapse within 1 year. We show that these cases also have a significantly shorter post-relapse survival compared to the others (median 14.9 months vs. 40 months, p = 8.03 × 10(− 14)). There are no effective approaches to define this potentially distinct biological group such that treatment could be altered. In this work a series of uniformly treated patients with myeloma were used to develop a gene expression profiling (GEP)-based signature to identify this high risk clinical behavior. Gene enrichment analyses applied to the top differentially expressed genes showed a significant enrichment of epigenetic regulators as well as “stem cell” myeloma genes. A derived 17-gene signature effectively identifies patients at high risk of early relapse as well as impaired overall survival. Integrative genomic analyses showed that epigenetic mechanisms may play an important role on transcription of these genes.
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spelling pubmed-44449912015-05-27 A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue Wu, Ping Walker, Brian A. Broyl, Annemiek Kaiser, Martin Johnson, David C. Kuiper, Rowan van Duin, Mark Gregory, Walter M. Davies, Faith E. Brewer, Daniel Hose, Dirk Sonneveld, Pieter Morgan, Gareth J. Leuk Lymphoma Original Articles: Clinical Myeloma is characterized by a highly variable clinical outcome. Despite the effectiveness of high-dose therapy, 15% of patients relapse within 1 year. We show that these cases also have a significantly shorter post-relapse survival compared to the others (median 14.9 months vs. 40 months, p = 8.03 × 10(− 14)). There are no effective approaches to define this potentially distinct biological group such that treatment could be altered. In this work a series of uniformly treated patients with myeloma were used to develop a gene expression profiling (GEP)-based signature to identify this high risk clinical behavior. Gene enrichment analyses applied to the top differentially expressed genes showed a significant enrichment of epigenetic regulators as well as “stem cell” myeloma genes. A derived 17-gene signature effectively identifies patients at high risk of early relapse as well as impaired overall survival. Integrative genomic analyses showed that epigenetic mechanisms may play an important role on transcription of these genes. Taylor & Francis 2015-03 2014-08-19 /pmc/articles/PMC4444991/ /pubmed/24913504 http://dx.doi.org/10.3109/10428194.2014.911863 Text en © 2014 Informa UK, Ltd. http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles: Clinical
Wu, Ping
Walker, Brian A.
Broyl, Annemiek
Kaiser, Martin
Johnson, David C.
Kuiper, Rowan
van Duin, Mark
Gregory, Walter M.
Davies, Faith E.
Brewer, Daniel
Hose, Dirk
Sonneveld, Pieter
Morgan, Gareth J.
A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
title A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
title_full A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
title_fullStr A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
title_full_unstemmed A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
title_short A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
title_sort gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
topic Original Articles: Clinical
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444991/
https://www.ncbi.nlm.nih.gov/pubmed/24913504
http://dx.doi.org/10.3109/10428194.2014.911863
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