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

Anu Venkatesh, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)361-362
Number of pages2
JournalGenomics Data
Volume2
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Fingerprint

Hepatitis C
Viruses
Hepacivirus
Liver Cirrhosis
Liver
Genes
Disease Progression
Assays
Fibrosis
Morbidity
Mortality
Neoplasms
Datasets

Keywords

  • Cirrhosis
  • Gene expression
  • Hepatitis C
  • NanoString nCounter
  • Prognostic

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Medicine
  • Genetics

Cite this

Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis. / Venkatesh, Anu; Sun, Xiaochen; Hoshida, Yujin.

In: Genomics Data, Vol. 2, 01.01.2014, p. 361-362.

Research output: Contribution to journalArticle

@article{d007c579a4ea4a17bbb29b9944e6bb2c,
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.",
keywords = "Cirrhosis, Gene expression, Hepatitis C, NanoString nCounter, Prognostic",
author = "Anu Venkatesh and Xiaochen Sun and Yujin Hoshida",
year = "2014",
month = "1",
day = "1",
doi = "10.1016/j.gdata.2014.10.007",
language = "English (US)",
volume = "2",
pages = "361--362",
journal = "Genomics Data",
issn = "2213-5960",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Prognostic gene signature profiles of hepatitis C-related early-stage liver cirrhosis

AU - Venkatesh, Anu

AU - Sun, Xiaochen

AU - Hoshida, Yujin

PY - 2014/1/1

Y1 - 2014/1/1

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

UR - http://www.scopus.com/inward/record.url?scp=84920560864&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920560864&partnerID=8YFLogxK

U2 - 10.1016/j.gdata.2014.10.007

DO - 10.1016/j.gdata.2014.10.007

M3 - Article

C2 - 25506552

AN - SCOPUS:84920560864

VL - 2

SP - 361

EP - 362

JO - Genomics Data

JF - Genomics Data

SN - 2213-5960

ER -