File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Hepatocellular tumors: Immunohistochemical analyses for classification and prognostication

TitleHepatocellular tumors: Immunohistochemical analyses for classification and prognostication
Authors
Issue Date2011
PublisherChina Anti-Cancer Association. The Journal's web site is located at http://zgazyj.periodicals.net.cn/
Citation
Chinese Journal Of Cancer Research, 2011, v. 23 n. 4, p. 245-253 How to Cite?
AbstractFollowing the classification of hepatocellular nodules by the International Working Party in 1995 and further elaboration by the International Consensus Group for Hepatocellular Neoplasia in 2009, entities under the spectrum of hepatocellular nodules have been better characterized. Research work hence has been done to answer questions such as distinguishing high-grade dysplastic nodules from early hepatocellular carcinoma (HCC), delineating the tumor cell origin of HCC, identifying its prognostic markers, and subtyping hepatocellular adenomas. As a result, a copious amount of data at immunohistochemical and molecular levels has emerged. A panel of immunohistochemical markers including glypican-3, heat shock protein 70 and glutamine synthetase has been found to be of use in the diagnosis of small, well differentiated hepatocellular tumors and particularly of HCC. The use of liver fatty acid binding protein (L-FABP), β-catenin, glutamine synthetase, serum amyloid protein and C-reactive protein is found to be helpful in the subtyping of hepatocellular adenomas. The role of tissue biomarkers for prognostication in HCC and the use of biomarkers in subclassifying HCC based on tumor cell origin are also discussed. © Chinese Anti-Cancer Association and Springer-Verlag Berlin Heidelberg 2011.
Persistent Identifierhttp://hdl.handle.net/10722/148683
ISSN
2015 Impact Factor: 2.201
2015 SCImago Journal Rankings: 0.727
PubMed Central ID
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Research Grants CouncilHKU 7/CRF/09
Funding Information:

This study was supported by Hong Kong Research Grants Council Collaborative Research Fund (HKU 7/CRF/09).

Grants

 

DC FieldValueLanguage
dc.contributor.authorLo, RCLen_US
dc.contributor.authorNg, IOLen_US
dc.date.accessioned2012-05-29T06:14:39Z-
dc.date.available2012-05-29T06:14:39Z-
dc.date.issued2011en_US
dc.identifier.citationChinese Journal Of Cancer Research, 2011, v. 23 n. 4, p. 245-253en_US
dc.identifier.issn1000-9604en_US
dc.identifier.urihttp://hdl.handle.net/10722/148683-
dc.description.abstractFollowing the classification of hepatocellular nodules by the International Working Party in 1995 and further elaboration by the International Consensus Group for Hepatocellular Neoplasia in 2009, entities under the spectrum of hepatocellular nodules have been better characterized. Research work hence has been done to answer questions such as distinguishing high-grade dysplastic nodules from early hepatocellular carcinoma (HCC), delineating the tumor cell origin of HCC, identifying its prognostic markers, and subtyping hepatocellular adenomas. As a result, a copious amount of data at immunohistochemical and molecular levels has emerged. A panel of immunohistochemical markers including glypican-3, heat shock protein 70 and glutamine synthetase has been found to be of use in the diagnosis of small, well differentiated hepatocellular tumors and particularly of HCC. The use of liver fatty acid binding protein (L-FABP), β-catenin, glutamine synthetase, serum amyloid protein and C-reactive protein is found to be helpful in the subtyping of hepatocellular adenomas. The role of tissue biomarkers for prognostication in HCC and the use of biomarkers in subclassifying HCC based on tumor cell origin are also discussed. © Chinese Anti-Cancer Association and Springer-Verlag Berlin Heidelberg 2011.en_US
dc.languageengen_US
dc.publisherChina Anti-Cancer Association. The Journal's web site is located at http://zgazyj.periodicals.net.cn/en_US
dc.relation.ispartofChinese Journal of Cancer Researchen_US
dc.titleHepatocellular tumors: Immunohistochemical analyses for classification and prognosticationen_US
dc.typeArticleen_US
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.doi10.1007/s11670-011-0245-6en_US
dc.identifier.pmcidPMC3551308-
dc.identifier.scopuseid_2-s2.0-84856761233en_US
dc.identifier.hkuros204445-
dc.identifier.volume23en_US
dc.identifier.issue4en_US
dc.identifier.spage245en_US
dc.identifier.epage253en_US
dc.identifier.eissn1993-0631-
dc.identifier.isiWOS:000298356300001-
dc.publisher.placeChinaen_US
dc.relation.projectMolecular Pathology of Liver Cancer - a Multidisciplinary Study-
dc.identifier.citeulike10168032-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats