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Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis
The huge prognostic difference between early and late stage hepatocellular carcinoma (HCC) is a challenging diagnostic problem. Alpha-fetoprotein is the mostly widely used biomarker for HCC used in the clinic, however it’s sensitivity and specificity of is not optimal. The development and applicatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700689/ https://www.ncbi.nlm.nih.gov/pubmed/31435173 http://dx.doi.org/10.3748/wjg.v25.i30.4199 |
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author | Liu, Xiao-Na Cui, Dan-Ni Li, Yu-Fang Liu, Yun-He Liu, Gang Liu, Lei |
author_facet | Liu, Xiao-Na Cui, Dan-Ni Li, Yu-Fang Liu, Yun-He Liu, Gang Liu, Lei |
author_sort | Liu, Xiao-Na |
collection | PubMed |
description | The huge prognostic difference between early and late stage hepatocellular carcinoma (HCC) is a challenging diagnostic problem. Alpha-fetoprotein is the mostly widely used biomarker for HCC used in the clinic, however it’s sensitivity and specificity of is not optimal. The development and application of multiple biotechnologies, including next generation sequencing, multiple “omics” data, that include genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics has been used for HCC diagnostic biomarker screening. Effective biomarkers/panels/models have been identified and validated at different clinical levels. A large proportion of these have a good diagnostic performance for HCC, especially for early HCC. In this article, we reviewed the various HCC biomarkers derived from “omics” data and discussed the advantages and disadvantages for diagnosis HCC. |
format | Online Article Text |
id | pubmed-6700689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-67006892019-08-21 Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis Liu, Xiao-Na Cui, Dan-Ni Li, Yu-Fang Liu, Yun-He Liu, Gang Liu, Lei World J Gastroenterol Minireviews The huge prognostic difference between early and late stage hepatocellular carcinoma (HCC) is a challenging diagnostic problem. Alpha-fetoprotein is the mostly widely used biomarker for HCC used in the clinic, however it’s sensitivity and specificity of is not optimal. The development and application of multiple biotechnologies, including next generation sequencing, multiple “omics” data, that include genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics has been used for HCC diagnostic biomarker screening. Effective biomarkers/panels/models have been identified and validated at different clinical levels. A large proportion of these have a good diagnostic performance for HCC, especially for early HCC. In this article, we reviewed the various HCC biomarkers derived from “omics” data and discussed the advantages and disadvantages for diagnosis HCC. Baishideng Publishing Group Inc 2019-08-14 2019-08-14 /pmc/articles/PMC6700689/ /pubmed/31435173 http://dx.doi.org/10.3748/wjg.v25.i30.4199 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Minireviews Liu, Xiao-Na Cui, Dan-Ni Li, Yu-Fang Liu, Yun-He Liu, Gang Liu, Lei Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
title | Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
title_full | Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
title_fullStr | Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
title_full_unstemmed | Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
title_short | Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
title_sort | multiple “omics” data-based biomarker screening for hepatocellular carcinoma diagnosis |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700689/ https://www.ncbi.nlm.nih.gov/pubmed/31435173 http://dx.doi.org/10.3748/wjg.v25.i30.4199 |
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