Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis

The rate of hepatitis C virus (HCV) related liver cirrhosis and subsequent cancer development is increasing and raising the risk of related mortality and morbidity. To address this issue, we aimed to develop a prognostic index that can be used to stratify patients for risk of disease progression. Th...

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Autores principales: Venkatesh, Anu, Sun, Xiaochen, Hoshida, Yujin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Data in Brief
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260413/
https://www.ncbi.nlm.nih.gov/pubmed/25506552
http://dx.doi.org/10.1016/j.gdata.2014.10.007
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author Venkatesh, Anu
Sun, Xiaochen
Hoshida, Yujin
author_facet Venkatesh, Anu
Sun, Xiaochen
Hoshida, Yujin
author_sort Venkatesh, Anu
collection PubMed
description The rate of hepatitis C virus (HCV) related liver cirrhosis and subsequent cancer development is increasing and raising the risk of related mortality and morbidity. To address this issue, we aimed to develop a prognostic index that can be used to stratify patients for risk of disease progression. This index was developed in part by using a gene signature test implemented in a clinically applicable digital transcript counting platform (NanoString nCounter system). A cohort of 145 U.S. patients with HCV-related early-stage cirrhosis was analyzed by using the assay. This dataset (GEO accession number GPL17230) provides information of expression levels of the prognostic genes in the cohort.
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spelling pubmed-42604132015-10-19 Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis Venkatesh, Anu Sun, Xiaochen Hoshida, Yujin Genom Data Data in Brief The rate of hepatitis C virus (HCV) related liver cirrhosis and subsequent cancer development is increasing and raising the risk of related mortality and morbidity. To address this issue, we aimed to develop a prognostic index that can be used to stratify patients for risk of disease progression. This index was developed in part by using a gene signature test implemented in a clinically applicable digital transcript counting platform (NanoString nCounter system). A cohort of 145 U.S. patients with HCV-related early-stage cirrhosis was analyzed by using the assay. This dataset (GEO accession number GPL17230) provides information of expression levels of the prognostic genes in the cohort. Elsevier 2014-10-12 /pmc/articles/PMC4260413/ /pubmed/25506552 http://dx.doi.org/10.1016/j.gdata.2014.10.007 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Data in Brief
Venkatesh, Anu
Sun, Xiaochen
Hoshida, Yujin
Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis
title Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis
title_full Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis
title_fullStr Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis
title_full_unstemmed Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis
title_short Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis
title_sort prognostic gene signature profiles of hepatitis c-related early-stage liver cirrhosis
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260413/
https://www.ncbi.nlm.nih.gov/pubmed/25506552
http://dx.doi.org/10.1016/j.gdata.2014.10.007
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AT sunxiaochen prognosticgenesignatureprofilesofhepatitiscrelatedearlystagelivercirrhosis
AT hoshidayujin prognosticgenesignatureprofilesofhepatitiscrelatedearlystagelivercirrhosis

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