Literature DB >> 18334731

The degree of readiness of selected biomarkers for the early detection of hepatocellular carcinoma: notes from a recent workshop.

Timothy M Block1, Jorge Marrero, Robert G Gish, Morris Sherman, W Thomas London, Sudhir Srivastava, Paul D Wagner.   

Abstract

This opinion piece evaluates the degree of readiness of 13 candidate biomarkers or panels of biomarkers for the early detection of hepatocellular carcinoma (HCC), or for the staging of liver fibrosis. As candidate biomarkers for the early detection of disease are identified, it is important to understand where they are in the developmental pipeline and how they might be employed. HCC is a growing public health problem, and its early detection is believed to be important in its management. Current detection methods are limited in usefulness or practicality, and there is a need for better methods to diagnose liver disease. Therefore, a number of candidate biomarkers, considered to be attractive because of their advanced stage of development or inherent scientific value, were evaluated for specificity and sensitivity for detection of liver disease. Study design, confirmatory evidence and assay practicality associated with each of the biomarkers are considered. The comments in this review reflect the authors' opinions and are based on a recent workshop convened by the Hepatitis B Foundation of America and the US National Cancer Institute's Early Detection Research Network. It is emphasized that only a selected set of biomarkers was considered; thus, this review is not comprehensive and not intended to review all candidate HCC biomarkers.

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Year:  2008        PMID: 18334731     DOI: 10.3233/cbm-2008-4103

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  11 in total

1.  The growing epidemic of hepatocellular carcinoma.

Authors:  Jorge B Marrero
Journal:  Gastroenterol Hepatol (N Y)       Date:  2008-11

2.  Surveillance and diagnosis of hepatocellular carcinoma in patients with cirrhosis.

Authors:  Lorenzo Andreana; Graziella Isgrò; Maria Pleguezuelo; Giacomo Germani; Andrew K Burroughs
Journal:  World J Hepatol       Date:  2009-10-31

Review 3.  [Diagnosis of tumours of the liver and the biliary tract: new tissue and serum markers].

Authors:  M-O Riener
Journal:  Pathologe       Date:  2011-11       Impact factor: 1.011

4.  Biomarker Validation for Aging: Lessons from mtDNA Heteroplasmy Analyses in Early Cancer Detection.

Authors:  Peter E Barker; Mahadev Murthy
Journal:  Biomark Insights       Date:  2009-11-27

5.  Hepatitis-Associated Liver Cancer: Gaps and Opportunities to Improve Care.

Authors:  Brian McMahon; Joan Block; Timothy Block; Chari Cohen; Alison A Evans; Anu Hosangadi; W Thomas London; Morris Sherman
Journal:  J Natl Cancer Inst       Date:  2015-11-30       Impact factor: 13.506

6.  Proteomic analysis for developing new biomarkers of hepatocellular carcinoma.

Authors:  Maria Pleguezuelo; Laura M Lopez-Sanchez; Antonio Rodriguez-Ariza; Jose L Montero; Javier Briceno; Ruben Ciria; Jordi Muntane; Manuel de la Mata
Journal:  World J Hepatol       Date:  2010-03-27

7.  Diagnostic value of glypican-3 in serum and liver for primary hepatocellular carcinoma.

Authors:  Hui Liu; Peng Li; Yun Zhai; Chun-Feng Qu; Li-Jie Zhang; Yu-Fen Tan; Ning Li; Hui-Guo Ding
Journal:  World J Gastroenterol       Date:  2010-09-21       Impact factor: 5.742

8.  Evaluation of the diagnostic value of alpha-l-fucosidase, alpha-fetoprotein and thymidine kinase 1 with ROC and logistic regression for hepatocellular carcinoma.

Authors:  Shi-Yan Zhang; Bi-Ding Lin; Bu-Ren Li
Journal:  FEBS Open Bio       Date:  2015-03-26       Impact factor: 2.693

Review 9.  Circulating specific biomarkers in diagnosis of hepatocellular carcinoma and its metastasis monitoring.

Authors:  Li Wang; Min Yao; Zhizhen Dong; Yun Zhang; Dengfu Yao
Journal:  Tumour Biol       Date:  2013-09-05

10.  Evaluation of individual and combined applications of serum biomarkers for diagnosis of hepatocellular carcinoma: a meta-analysis.

Authors:  Bin Hu; Xiaohui Tian; Jie Sun; Xiangjun Meng
Journal:  Int J Mol Sci       Date:  2013-12-02       Impact factor: 5.923

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