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

Anu Venkatesh, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)361-362
Number of pages2
JournalGenomics Data
Volume2
DOIs
StatePublished - 2014

Keywords

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

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