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

Anu Venkatesh; Xiaochen Sun; Yujin Hoshida

doi:10.1016/j.gdata.2014.10.007

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

Anu Venkatesh, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	361-362
Number of pages	2
Journal	Genomics Data
Volume	2
DOIs	https://doi.org/10.1016/j.gdata.2014.10.007
State	Published - 2014
Externally published	Yes

Keywords

Cirrhosis
Gene expression
Hepatitis C
NanoString nCounter
Prognostic

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Medicine
Genetics

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10.1016/j.gdata.2014.10.007

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title = "Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis",

abstract = "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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year = "2014",

doi = "10.1016/j.gdata.2014.10.007",

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AU - Venkatesh, Anu

AU - Sun, Xiaochen

AU - Hoshida, Yujin

PY - 2014

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N2 - 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.

AB - 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.

KW - Cirrhosis

KW - Gene expression

KW - Hepatitis C

KW - NanoString nCounter

KW - Prognostic

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JF - Genomics Data

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

Abstract

Keywords

ASJC Scopus subject areas

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