Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.

<h4>Background</h4>Early hepatocellular carcinoma (HCC) detection is difficult because low accuracy of surveillance tests. Genome-wide analyses were performed using HCV-cirrhosis with HCC to identify predictive signatures.<h4>Methodology/principal findings</h4>Cirrhotic liver...

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Autores principales:	Ricardo C Gehrau, Kellie J Archer, Valeria R Mas, Daniel G Maluf
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/921bc4de39634a8592049a5b9c55321a
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spelling	oai:doaj.org-article:921bc4de39634a8592049a5b9c55321a2021-11-18T07:13:21ZMolecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.1932-620310.1371/journal.pone.0040275https://doaj.org/article/921bc4de39634a8592049a5b9c55321a2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22792259/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Early hepatocellular carcinoma (HCC) detection is difficult because low accuracy of surveillance tests. Genome-wide analyses were performed using HCV-cirrhosis with HCC to identify predictive signatures.<h4>Methodology/principal findings</h4>Cirrhotic liver tissue was collected from 107 HCV-infected patients with diagnosis of HCC at pre-transplantation and confirmed in explanted livers. Study groups included: 1) microarray hybridization set (n = 80) including patients without (woHCC = 45) and with (wHCC = 24) HCC, and with incidental HCC (iHCC = 11); 2) independent validation set (n = 27; woHCC = 16, wHCC = 11). Pairwise comparisons were performed using moderated t-test. FDR<1% was considered significant. L(1)-penalized logistic regression model was fit for woHCC and wHCC microarrays, and tested against iHCC. Prediction model genes were validated in independent set by qPCR. The genomic profile was associated with genetic disorders and cancer focused on gene expression, cell cycle and cell death. Molecular profile analysis revealed cell cycle progression and arrest at G2/M, but progressing to mitosis; unregulated DNA damage check-points, and apoptosis. The prediction model included 17 molecules demonstrated 98.6% of accuracy and correctly classified 6 out of 11 undiagnosed iHCC cases. The best model performed even better in the additional independent set.<h4>Conclusions/significances</h4>The molecular analysis of HCV-cirrhotic tissue conducted to a prediction model with good performance and high potential for HCC surveillance.Ricardo C GehrauKellie J ArcherValeria R MasDaniel G MalufPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e40275 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ricardo C Gehrau Kellie J Archer Valeria R Mas Daniel G Maluf Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
description	<h4>Background</h4>Early hepatocellular carcinoma (HCC) detection is difficult because low accuracy of surveillance tests. Genome-wide analyses were performed using HCV-cirrhosis with HCC to identify predictive signatures.<h4>Methodology/principal findings</h4>Cirrhotic liver tissue was collected from 107 HCV-infected patients with diagnosis of HCC at pre-transplantation and confirmed in explanted livers. Study groups included: 1) microarray hybridization set (n = 80) including patients without (woHCC = 45) and with (wHCC = 24) HCC, and with incidental HCC (iHCC = 11); 2) independent validation set (n = 27; woHCC = 16, wHCC = 11). Pairwise comparisons were performed using moderated t-test. FDR<1% was considered significant. L(1)-penalized logistic regression model was fit for woHCC and wHCC microarrays, and tested against iHCC. Prediction model genes were validated in independent set by qPCR. The genomic profile was associated with genetic disorders and cancer focused on gene expression, cell cycle and cell death. Molecular profile analysis revealed cell cycle progression and arrest at G2/M, but progressing to mitosis; unregulated DNA damage check-points, and apoptosis. The prediction model included 17 molecules demonstrated 98.6% of accuracy and correctly classified 6 out of 11 undiagnosed iHCC cases. The best model performed even better in the additional independent set.<h4>Conclusions/significances</h4>The molecular analysis of HCV-cirrhotic tissue conducted to a prediction model with good performance and high potential for HCC surveillance.
format	article
author	Ricardo C Gehrau Kellie J Archer Valeria R Mas Daniel G Maluf
author_facet	Ricardo C Gehrau Kellie J Archer Valeria R Mas Daniel G Maluf
author_sort	Ricardo C Gehrau
title	Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
title_short	Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
title_full	Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
title_fullStr	Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
title_full_unstemmed	Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
title_sort	molecular profiles of hcv cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/921bc4de39634a8592049a5b9c55321a
work_keys_str_mv	AT ricardocgehrau molecularprofilesofhcvcirrhotictissuesderivedinapanelofmarkerswithclinicalutilityforhepatocellularcarcinomasurveillance AT kelliejarcher molecularprofilesofhcvcirrhotictissuesderivedinapanelofmarkerswithclinicalutilityforhepatocellularcarcinomasurveillance AT valeriarmas molecularprofilesofhcvcirrhotictissuesderivedinapanelofmarkerswithclinicalutilityforhepatocellularcarcinomasurveillance AT danielgmaluf molecularprofilesofhcvcirrhotictissuesderivedinapanelofmarkerswithclinicalutilityforhepatocellularcarcinomasurveillance
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Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance.

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