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

Anu Venkatesh, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journalArticle

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

Keywords

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

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Medicine
  • Genetics

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