Biomarkers of disease differentiation: HCV recurrence versus acute cellular rejection

Authors

Ricardo Gehrau, University of Virgniia
Valeria Mas, Virginia Commonwealth UniversityFollow
Kellie Archer, Virginia Commonwealth UniversityFollow
Daniel Maluf, University of Virginia - Main Campus

Document Type

Article

Original Publication Date

2012

Journal/Book/Conference Title

Fibrogenesis & Tissue Repair

Volume

5

Issue

(suppl 1)

DOI of Original Publication

10.1186/1755-1536-5-S1-S11

Comments

Originally published at http://dx.doi.org/10.1186/1755-1536-5-S1-S11

Date of Submission

August 2014

Abstract

The wound-healing process induced by chronic hepatitis C virus (HCV) infection triggers liver damage characterized by fibrosis development and finally cirrhosis. Liver Transplantation (LT) is the optimal surgical treatment for HCV-cirrhotic patients at end-stage liver disease. However, acute cellular rejection (ACR) and HCV recurrence disease represent two devastating complications post-LT. The accurate differential diagnosis between both conditions is critical for treatment choice, and similar histological features represent a challenge for pathologists. Moreover, the HCV recurrence disease severity is highly variable post-LT. HCV recurrence disease progression is characterized by an accelerated fibrogenesis process, and almost 30% of those patients develop cirrhosis at 5-years of follow-up. Whole-genome gene expression (WGE) analyses through well-defined oligonucleotide microarray platforms represent a powerful tool for the molecular characterization of biological process. In the present manuscript, the utility of microarray technology is applied for the ACR and HCV-recurrence biological characterization in post-LT liver biopsy samples. Moreover, WGE analysis was performed to identify predictive biomarkers of HCV recurrence severity in formalin-fixed paraffin-embedded liver biopsies prospectively collected.

Rights

© 2012 Gehrau et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Is Part Of

VCU Biostatistics Publications