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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 ×...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2015
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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. |
format | Online Article Text |
id | pubmed-4444991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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