Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies

The establishment of high-throughput technologies has brought substantial advances to our understanding of the biology of many diseases at the molecular level and increasing expectations on the development of innovative molecularly targeted treatments and molecular biomarkers or diagnostic tests in...

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Main Author: Shigeyuki Matsui
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2013/865980
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spelling doaj-6610d9a076d247479c33c3f182da79922020-11-24T20:51:31ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182013-01-01201310.1155/2013/865980865980Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical StudiesShigeyuki Matsui0Department of Data Science, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, JapanThe establishment of high-throughput technologies has brought substantial advances to our understanding of the biology of many diseases at the molecular level and increasing expectations on the development of innovative molecularly targeted treatments and molecular biomarkers or diagnostic tests in the context of clinical studies. In this review article, we position the two critical statistical analyses of high-dimensional genomic data, gene screening and prediction, in the framework of development and validation of genomic biomarkers or signatures, through taking into consideration the possible different strategies for developing genomic signatures. A wide variety of biomarker-based clinical trial designs to assess clinical utility of a biomarker or a new treatment with a companion biomarker are also discussed.http://dx.doi.org/10.1155/2013/865980
collection DOAJ
language English
format Article
sources DOAJ
author Shigeyuki Matsui
spellingShingle Shigeyuki Matsui
Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies
Computational and Mathematical Methods in Medicine
author_facet Shigeyuki Matsui
author_sort Shigeyuki Matsui
title Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies
title_short Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies
title_full Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies
title_fullStr Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies
title_full_unstemmed Genomic Biomarkers for Personalized Medicine: Development and Validation in Clinical Studies
title_sort genomic biomarkers for personalized medicine: development and validation in clinical studies
publisher Hindawi Limited
series Computational and Mathematical Methods in Medicine
issn 1748-670X
1748-6718
publishDate 2013-01-01
description The establishment of high-throughput technologies has brought substantial advances to our understanding of the biology of many diseases at the molecular level and increasing expectations on the development of innovative molecularly targeted treatments and molecular biomarkers or diagnostic tests in the context of clinical studies. In this review article, we position the two critical statistical analyses of high-dimensional genomic data, gene screening and prediction, in the framework of development and validation of genomic biomarkers or signatures, through taking into consideration the possible different strategies for developing genomic signatures. A wide variety of biomarker-based clinical trial designs to assess clinical utility of a biomarker or a new treatment with a companion biomarker are also discussed.
url http://dx.doi.org/10.1155/2013/865980
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