Circulating microRNAs as diagnostic and prognostic tools for hepatocellular carcinoma

World J Gastroenterol. 2015 Sep 14;21(34):9853-62. doi: 10.3748/wjg.v21.i34.9853.

Abstract

Hepatocellular carcinoma (HCC) is an aggressive malignancy and the second leading cause of cancer-related deaths worldwide. Conventional biomarkers exhibit poor performance in the surveillance, diagnosis, and prognosis of HCC. MicroRNAs (miRNAs) are a class of evolutionarily conserved small non-coding RNAs that are involved in the regulation of gene expression and protein translation, and they play critical roles in cell growth, differentiation, and the development of various types of cancers, including HCC. Recent evidence revealed the role of miRNAs as potential novel and ideal biomarkers for HCC. miRNAs are released to extracellular spaces, and they are extremely stable in bodily fluids, including serum or plasma, where they are packaged into various microparticles or associated with RNA-binding proteins. Numerous studies have demonstrated that circulating miRNAs have potential applications as minimally invasive biomarkers for HCC diagnosis and prognosis. The present review highlights current understanding of miRNA biogenesis and the origins and types of circulating miRNAs. We summarize recent progress in the use of circulating miRNAs as diagnostic and prognostic biomarkers for HCC. We also discuss the challenges and perspectives of the clinical utility of circulating miRNAs in HCC.

Keywords: Biomarkers; Circulating microRNAs; Diagnosis; Hepatocellular carcinoma; Prognosis.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor / blood*
  • Biomarkers, Tumor / genetics
  • Carcinoma, Hepatocellular / blood*
  • Carcinoma, Hepatocellular / genetics
  • Carcinoma, Hepatocellular / pathology
  • Carcinoma, Hepatocellular / therapy
  • Humans
  • Liver Neoplasms / blood*
  • Liver Neoplasms / genetics
  • Liver Neoplasms / pathology
  • Liver Neoplasms / therapy
  • MicroRNAs / blood*
  • MicroRNAs / genetics
  • Molecular Diagnostic Techniques*
  • Predictive Value of Tests
  • Prognosis

Substances

  • Biomarkers, Tumor
  • MicroRNAs