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Models of Hepatocellular Carcinoma and Biomarker Strategy

The overwhelming need to improve preclinical models in oncology has stimulated research efforts to refine and validate robust orthotopic models that closely mimic the disease population and therefore have the potential to better predict clinical outcome with novel therapies. Sophisticated technologi...

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Detalles Bibliográficos
Autores principales: Bagi, Cedo M., Andresen, Catharine J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837316/
https://www.ncbi.nlm.nih.gov/pubmed/24281167
http://dx.doi.org/10.3390/cancers2031441
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author Bagi, Cedo M.
Andresen, Catharine J.
author_facet Bagi, Cedo M.
Andresen, Catharine J.
author_sort Bagi, Cedo M.
collection PubMed
description The overwhelming need to improve preclinical models in oncology has stimulated research efforts to refine and validate robust orthotopic models that closely mimic the disease population and therefore have the potential to better predict clinical outcome with novel therapies. Sophisticated technologies including bioluminescence, contrast enhanced ultrasound imaging, positron emission tomography, computed tomography and magnetic resonance imaging have been added to existing serum- and histology-based biomarkers to assist with patient selection and the design of clinical trials. The rationale for the use of human hepatocellular carcinoma (HCC) cell lines, implementation of xenograft and orthotopic animal models and utilization of available biomarkers have been discussed, providing guidelines to facilitate preclinical research for the development of treatments for HCC patients.
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spelling pubmed-38373162013-11-22 Models of Hepatocellular Carcinoma and Biomarker Strategy Bagi, Cedo M. Andresen, Catharine J. Cancers (Basel) Review The overwhelming need to improve preclinical models in oncology has stimulated research efforts to refine and validate robust orthotopic models that closely mimic the disease population and therefore have the potential to better predict clinical outcome with novel therapies. Sophisticated technologies including bioluminescence, contrast enhanced ultrasound imaging, positron emission tomography, computed tomography and magnetic resonance imaging have been added to existing serum- and histology-based biomarkers to assist with patient selection and the design of clinical trials. The rationale for the use of human hepatocellular carcinoma (HCC) cell lines, implementation of xenograft and orthotopic animal models and utilization of available biomarkers have been discussed, providing guidelines to facilitate preclinical research for the development of treatments for HCC patients. MDPI 2010-07-07 /pmc/articles/PMC3837316/ /pubmed/24281167 http://dx.doi.org/10.3390/cancers2031441 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Bagi, Cedo M.
Andresen, Catharine J.
Models of Hepatocellular Carcinoma and Biomarker Strategy
title Models of Hepatocellular Carcinoma and Biomarker Strategy
title_full Models of Hepatocellular Carcinoma and Biomarker Strategy
title_fullStr Models of Hepatocellular Carcinoma and Biomarker Strategy
title_full_unstemmed Models of Hepatocellular Carcinoma and Biomarker Strategy
title_short Models of Hepatocellular Carcinoma and Biomarker Strategy
title_sort models of hepatocellular carcinoma and biomarker strategy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837316/
https://www.ncbi.nlm.nih.gov/pubmed/24281167
http://dx.doi.org/10.3390/cancers2031441
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