The application of markers (HSP70 GPC3 and GS) in liver biopsies is useful for detection of hepatocellular carcinoma

Di Tommaso, Luca and Destro, Annarita and Seok, Jae Yeon and Balladore, Emanuela and Terracciano, Luigi and Sangiovanni, Angelo and Iavarone, Massimo and Colombo, Massimo and Jang, Ja June and Yu, Eunsil and Jin, So Young and Morenghi, Emanuela and Park, Young Nyun and Roncalli, Massimo. (2009) The application of markers (HSP70 GPC3 and GS) in liver biopsies is useful for detection of hepatocellular carcinoma. Journal of hepatology : journal of the European Association for the Study of the Liver, Vol. 50. pp. 746-754.

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Official URL: http://edoc.unibas.ch/dok/A6006191

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BACKGROUND/AIMS: Liver biopsy for hepatocellular carcinoma (HCC) detection is largely restricted to small hepatocellular lesions, which are often morphologically challenging, requiring careful distinction between dysplastic nodules (high-grade) and well-differentiated HCC. METHODS: We investigated the diagnostic accuracy of a panel of markers (HSP70 GPC3 and GS), previously tested in resection specimens, in a series of liver biopsies of large regenerative nodules (n=13), low-grade dysplastic nodules (n=21), high-grade dysplastic nodules (n=50), very well-differentiated (VWD) (n=17), well-differentiated (WD-G1) (n=40) and G2-3 (n=35) HCC. RESULTS: Almost all cases of large regenerative and low-grade dysplastic nodules did not stain while high-grade dysplastic nodules showed 1 marker (22%) but never 2 or 3. For HCC detection the overall accuracy of marker combination was 60.8% (3 markers) and 78.4% (2 markers) with 100% specificity. When restricted to VWD+WD-G1 HCC the accuracy was 57% (3 markers) and 72.9% (2 markers) with 100% specificity. CONCLUSIONS: This panel proved useful to detect well-differentiated HCC in biopsy. Two immunoreactive markers (out of 3) are recommended as the most valuable diagnostic combination for HCC detection. The diagnostic accuracy of the panel could be improved using additional markers, as suggested by studies of expression profiling in other human models.
Faculties and Departments:03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Pathologie USB > Molekulare Pathologie (Terracciano)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Pathologie USB > Molekulare Pathologie (Terracciano)
UniBasel Contributors:Terracciano, Luigi M.
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:01 Mar 2013 11:14
Deposited On:01 Mar 2013 11:13

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