Germline polymorphisms as modulators of cancer phenotypes

<p>Abstract</p> <p>Identifying the complete repertoire of genes and genetic variants that regulate the pathogenesis and progression of human disease is a central goal of post-genomic biomedical research. In cancer, recent studies have shown that genome-wide association studies can...

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Main Author: Tan Patrick
Format: Article
Language:English
Published: BMC 2008-09-01
Series:BMC Medicine
Online Access:http://www.biomedcentral.com/1741-7015/6/27
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spelling doaj-481042bff1644ec5b2183edfe43e6f332020-11-25T00:48:54ZengBMCBMC Medicine1741-70152008-09-01612710.1186/1741-7015-6-27Germline polymorphisms as modulators of cancer phenotypesTan Patrick<p>Abstract</p> <p>Identifying the complete repertoire of genes and genetic variants that regulate the pathogenesis and progression of human disease is a central goal of post-genomic biomedical research. In cancer, recent studies have shown that genome-wide association studies can be successfully used to identify germline polymorphisms associated with an individual's susceptibility to malignancy. In parallel to these reports, substantial work has also shown that patterns of somatic alterations in human tumors can be successfully employed to predict disease prognosis and treatment response. A paper by Van Ness et al. published this month in <it>BMC Medicine </it>reports the initial results of a multi-institutional consortium for multiple myeloma designed to evaluate the role of germline polymorphisms in influencing multiple myeloma clinical outcome. Applying a custom-designed single nucleotide polymorphism microarray to two separate patient cohorts, the investigators successfully identified specific combinations of germline polymorphisms significantly associated with early clinical relapse. These results raise the exciting possibility that besides somatically acquired alterations, germline genetic background may also exert an important influence on cancer patient prognosis and outcome. Future 'personalized medicine' strategies for cancer may thus require incorporating genomic information from both tumor cells and the non-malignant patient genome.</p> http://www.biomedcentral.com/1741-7015/6/27
collection DOAJ
language English
format Article
sources DOAJ
author Tan Patrick
spellingShingle Tan Patrick
Germline polymorphisms as modulators of cancer phenotypes
BMC Medicine
author_facet Tan Patrick
author_sort Tan Patrick
title Germline polymorphisms as modulators of cancer phenotypes
title_short Germline polymorphisms as modulators of cancer phenotypes
title_full Germline polymorphisms as modulators of cancer phenotypes
title_fullStr Germline polymorphisms as modulators of cancer phenotypes
title_full_unstemmed Germline polymorphisms as modulators of cancer phenotypes
title_sort germline polymorphisms as modulators of cancer phenotypes
publisher BMC
series BMC Medicine
issn 1741-7015
publishDate 2008-09-01
description <p>Abstract</p> <p>Identifying the complete repertoire of genes and genetic variants that regulate the pathogenesis and progression of human disease is a central goal of post-genomic biomedical research. In cancer, recent studies have shown that genome-wide association studies can be successfully used to identify germline polymorphisms associated with an individual's susceptibility to malignancy. In parallel to these reports, substantial work has also shown that patterns of somatic alterations in human tumors can be successfully employed to predict disease prognosis and treatment response. A paper by Van Ness et al. published this month in <it>BMC Medicine </it>reports the initial results of a multi-institutional consortium for multiple myeloma designed to evaluate the role of germline polymorphisms in influencing multiple myeloma clinical outcome. Applying a custom-designed single nucleotide polymorphism microarray to two separate patient cohorts, the investigators successfully identified specific combinations of germline polymorphisms significantly associated with early clinical relapse. These results raise the exciting possibility that besides somatically acquired alterations, germline genetic background may also exert an important influence on cancer patient prognosis and outcome. Future 'personalized medicine' strategies for cancer may thus require incorporating genomic information from both tumor cells and the non-malignant patient genome.</p>
url http://www.biomedcentral.com/1741-7015/6/27
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