What can be learned from molecular diagnostic techniques and genetic signatures?

Tariq Moatter, Saeed Hamid

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Liver cancer is a disease characterized by a long latency during which hepatocytes pass through a continual process of damage and regeneration leading to accumulation of genetic aberrations. Although several genes and signalling pathways involved in cell proliferation and differentiation have been implicated in hepatocellular carcinoma (HCC), widespread gaps still exist in our understanding of the molecular mechanisms of hepatocarcinogenesis. Microarray technology is a widely applied tool for studying the pathogenesis of HCC and the identification of genes, which could translate into novel diagnostic tools and therapeutic targets. Many studies have reported unique gene expression profiles in HCC that can identify transition from mild to moderate liver fibrosis and can recognize, at an early stage, dysplastic nodules likely to transform into hepatocellular tumours. This review highlights recent contributions of the microarray technology in advancing our knowledge of the molecular alterations observed at different stages of hepatocellular carcinogenesis. In the future, specific gene expression profiles can possibly predict micro-metastasis or early recurrence after resection of HCC for a better patient outcome.

Original languageEnglish
Title of host publicationClinical Dilemmas in Primary Liver Cancer
Number of pages5
ISBN (Electronic)9781119962205
ISBN (Print)9780470657973
Publication statusPublished - 1 Jan 2011


  • Cluster analysis
  • Fibrosis
  • Gene expression
  • Gene signature
  • Glypican 3
  • Hepatocellular carcinoma
  • Liver cancer
  • Metastasis
  • Microarray
  • Tumour recurrence
  • Wnt signalling


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