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Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm

BACKGROUND: Thoracic aortic aneurysm (TAA) is usually asymptomatic and associated with high mortality. Adverse clinical outcome of TAA is preventable by elective surgical repair; however, identifying at-risk individuals is difficult. We hypothesized that gene expression patterns in peripheral blood...

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Autores principales: Wang, Yulei, Barbacioru, Catalin C., Shiffman, Dov, Balasubramanian, Sriram, Iakoubova, Olga, Tranquilli, Maryann, Albornoz, Gonzalo, Blake, Julie, Mehmet, Necip N., Ngadimo, Dewi, Poulter, Karen, Chan, Frances, Samaha, Raymond R., Elefteriades, John A.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2002514/
https://www.ncbi.nlm.nih.gov/pubmed/17940614
http://dx.doi.org/10.1371/journal.pone.0001050
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author Wang, Yulei
Barbacioru, Catalin C.
Shiffman, Dov
Balasubramanian, Sriram
Iakoubova, Olga
Tranquilli, Maryann
Albornoz, Gonzalo
Blake, Julie
Mehmet, Necip N.
Ngadimo, Dewi
Poulter, Karen
Chan, Frances
Samaha, Raymond R.
Elefteriades, John A.
author_facet Wang, Yulei
Barbacioru, Catalin C.
Shiffman, Dov
Balasubramanian, Sriram
Iakoubova, Olga
Tranquilli, Maryann
Albornoz, Gonzalo
Blake, Julie
Mehmet, Necip N.
Ngadimo, Dewi
Poulter, Karen
Chan, Frances
Samaha, Raymond R.
Elefteriades, John A.
author_sort Wang, Yulei
collection PubMed
description BACKGROUND: Thoracic aortic aneurysm (TAA) is usually asymptomatic and associated with high mortality. Adverse clinical outcome of TAA is preventable by elective surgical repair; however, identifying at-risk individuals is difficult. We hypothesized that gene expression patterns in peripheral blood cells may correlate with TAA disease status. Our goal was to identify a distinct gene expression signature in peripheral blood that may identify individuals at risk for TAA. METHODS AND FINDINGS: Whole genome gene expression profiles from 94 peripheral blood samples (collected from 58 individuals with TAA and 36 controls) were analyzed. Significance Analysis of Microarray (SAM) identified potential signature genes characterizing TAA vs. normal, ascending vs. descending TAA, and sporadic vs. familial TAA. Using a training set containing 36 TAA patients and 25 controls, a 41-gene classification model was constructed for detecting TAA status and an overall accuracy of 78±6% was achieved. Testing this classifier on an independent validation set containing 22 TAA samples and 11 controls yielded an overall classification accuracy of 78%. These 41 classifier genes were further validated by TaqMan® real-time PCR assays. Classification based on the TaqMan® data replicated the microarray results and achieved 80% classification accuracy on the testing set. CONCLUSIONS: This study identified informative gene expression signatures in peripheral blood cells that can characterize TAA status and subtypes of TAA. Moreover, a 41-gene classifier based on expression signature can identify TAA patients with high accuracy. The transcriptional programs in peripheral blood leading to the identification of these markers also provide insights into the mechanism of development of aortic aneurysms and highlight potential targets for therapeutic intervention. The classifier genes identified in this study, and validated by TaqMan® real-time PCR, define a set of promising potential diagnostic markers, setting the stage for a blood-based gene expression test to facilitate early detection of TAA.
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spelling pubmed-20025142007-10-17 Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm Wang, Yulei Barbacioru, Catalin C. Shiffman, Dov Balasubramanian, Sriram Iakoubova, Olga Tranquilli, Maryann Albornoz, Gonzalo Blake, Julie Mehmet, Necip N. Ngadimo, Dewi Poulter, Karen Chan, Frances Samaha, Raymond R. Elefteriades, John A. PLoS One Research Article BACKGROUND: Thoracic aortic aneurysm (TAA) is usually asymptomatic and associated with high mortality. Adverse clinical outcome of TAA is preventable by elective surgical repair; however, identifying at-risk individuals is difficult. We hypothesized that gene expression patterns in peripheral blood cells may correlate with TAA disease status. Our goal was to identify a distinct gene expression signature in peripheral blood that may identify individuals at risk for TAA. METHODS AND FINDINGS: Whole genome gene expression profiles from 94 peripheral blood samples (collected from 58 individuals with TAA and 36 controls) were analyzed. Significance Analysis of Microarray (SAM) identified potential signature genes characterizing TAA vs. normal, ascending vs. descending TAA, and sporadic vs. familial TAA. Using a training set containing 36 TAA patients and 25 controls, a 41-gene classification model was constructed for detecting TAA status and an overall accuracy of 78±6% was achieved. Testing this classifier on an independent validation set containing 22 TAA samples and 11 controls yielded an overall classification accuracy of 78%. These 41 classifier genes were further validated by TaqMan® real-time PCR assays. Classification based on the TaqMan® data replicated the microarray results and achieved 80% classification accuracy on the testing set. CONCLUSIONS: This study identified informative gene expression signatures in peripheral blood cells that can characterize TAA status and subtypes of TAA. Moreover, a 41-gene classifier based on expression signature can identify TAA patients with high accuracy. The transcriptional programs in peripheral blood leading to the identification of these markers also provide insights into the mechanism of development of aortic aneurysms and highlight potential targets for therapeutic intervention. The classifier genes identified in this study, and validated by TaqMan® real-time PCR, define a set of promising potential diagnostic markers, setting the stage for a blood-based gene expression test to facilitate early detection of TAA. Public Library of Science 2007-10-17 /pmc/articles/PMC2002514/ /pubmed/17940614 http://dx.doi.org/10.1371/journal.pone.0001050 Text en Wang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Yulei
Barbacioru, Catalin C.
Shiffman, Dov
Balasubramanian, Sriram
Iakoubova, Olga
Tranquilli, Maryann
Albornoz, Gonzalo
Blake, Julie
Mehmet, Necip N.
Ngadimo, Dewi
Poulter, Karen
Chan, Frances
Samaha, Raymond R.
Elefteriades, John A.
Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
title Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
title_full Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
title_fullStr Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
title_full_unstemmed Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
title_short Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm
title_sort gene expression signature in peripheral blood detects thoracic aortic aneurysm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2002514/
https://www.ncbi.nlm.nih.gov/pubmed/17940614
http://dx.doi.org/10.1371/journal.pone.0001050
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