Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues

Int J Comput Biol Drug Des. 2010;3(1):52-67. doi: 10.1504/IJCBDD.2010.034499. Epub 2010 Aug 5.

Abstract

High-throughput genomic technologies are increasingly being used to identify therapeutic targets and risk factors for specific diseases. Using 116 independent liver samples, we identified 793 probe sets that demonstrated a significant association in the frequency of absent calls as tissues progressed from normal to pre-neoplastic to neoplastic, followed by a bioinformatic approach which identified that 78.9% of the significant probe sets contained at least one CpG island in the gene promoter region compared with 58.9% of the remaining genes examined. Our results indicate that further high-throughput methylation studies to more fully characterize molecular events involved in hepatocarcinogenesis are warranted.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Carcinoma, Hepatocellular / genetics*
  • Carcinoma, Hepatocellular / pathology
  • Computational Biology / methods
  • CpG Islands / genetics
  • DNA Methylation
  • Genomics / methods*
  • High-Throughput Screening Assays / methods
  • Humans
  • Liver / pathology
  • Liver Neoplasms / genetics*
  • Liver Neoplasms / pathology
  • Precancerous Conditions / genetics
  • Promoter Regions, Genetic
  • Risk Factors