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An integrated approach to prognosis using protein microarrays and nonparametric methods

Over the past several years, multivariate approaches have been developed that address the problem of disease diagnosis. Here, we report an integrated approach to the problem of prognosis that uses protein microarrays to measure a focused set of molecular markers and non-parametric methods to reveal...

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Detalles Bibliográficos
Autores principales: Knickerbocker, Tanya, Chen, Jiunn R, Thadhani, Ravi, MacBeath, Gavin
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1911205/
https://www.ncbi.nlm.nih.gov/pubmed/17593911
http://dx.doi.org/10.1038/msb4100167
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author Knickerbocker, Tanya
Chen, Jiunn R
Thadhani, Ravi
MacBeath, Gavin
author_facet Knickerbocker, Tanya
Chen, Jiunn R
Thadhani, Ravi
MacBeath, Gavin
author_sort Knickerbocker, Tanya
collection PubMed
description Over the past several years, multivariate approaches have been developed that address the problem of disease diagnosis. Here, we report an integrated approach to the problem of prognosis that uses protein microarrays to measure a focused set of molecular markers and non-parametric methods to reveal non-linear relationships among these markers, clinical variables, and patient outcome. As proof-of-concept, we applied our approach to the prediction of early mortality in patients initiating kidney dialysis. We found that molecular markers are not uniformly prognostic, but instead vary in their value depending on a combination of clinical variables. This may explain why reports in this area aiming to identify prognostic markers, without taking into account clinical variables, are either conflicting or show that markers have marginal prognostic value. Just as treatments are now being tailored to specific subsets of patients, our results show that prognosis can also benefit from a ‘personalized' approach.
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spelling pubmed-19112052007-07-09 An integrated approach to prognosis using protein microarrays and nonparametric methods Knickerbocker, Tanya Chen, Jiunn R Thadhani, Ravi MacBeath, Gavin Mol Syst Biol Report Over the past several years, multivariate approaches have been developed that address the problem of disease diagnosis. Here, we report an integrated approach to the problem of prognosis that uses protein microarrays to measure a focused set of molecular markers and non-parametric methods to reveal non-linear relationships among these markers, clinical variables, and patient outcome. As proof-of-concept, we applied our approach to the prediction of early mortality in patients initiating kidney dialysis. We found that molecular markers are not uniformly prognostic, but instead vary in their value depending on a combination of clinical variables. This may explain why reports in this area aiming to identify prognostic markers, without taking into account clinical variables, are either conflicting or show that markers have marginal prognostic value. Just as treatments are now being tailored to specific subsets of patients, our results show that prognosis can also benefit from a ‘personalized' approach. Nature Publishing Group 2007-06-26 /pmc/articles/PMC1911205/ /pubmed/17593911 http://dx.doi.org/10.1038/msb4100167 Text en Copyright © 2007, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-nd/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation or the creation of derivative works without specific permission.
spellingShingle Report
Knickerbocker, Tanya
Chen, Jiunn R
Thadhani, Ravi
MacBeath, Gavin
An integrated approach to prognosis using protein microarrays and nonparametric methods
title An integrated approach to prognosis using protein microarrays and nonparametric methods
title_full An integrated approach to prognosis using protein microarrays and nonparametric methods
title_fullStr An integrated approach to prognosis using protein microarrays and nonparametric methods
title_full_unstemmed An integrated approach to prognosis using protein microarrays and nonparametric methods
title_short An integrated approach to prognosis using protein microarrays and nonparametric methods
title_sort integrated approach to prognosis using protein microarrays and nonparametric methods
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1911205/
https://www.ncbi.nlm.nih.gov/pubmed/17593911
http://dx.doi.org/10.1038/msb4100167
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