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Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach
BACKGROUND: A lack of sensitive and specific biomarkers is a major reason for the high rate of Primary hepatocellular carcinoma (HCC)-related mortality. The aim of this study was to investigate potential proteomic biomarkers specific for HCC. METHODS: 81 patients with hepatitis B-related HCC and 33...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275230/ https://www.ncbi.nlm.nih.gov/pubmed/18331625 http://dx.doi.org/10.1186/1477-5956-6-10 |
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author | He, Min Qin, Jian Zhai, Rihong Wei, Xiao Wang, Qi Rong, Minhua Jiang, Zhihua Huang, Yuanjiao Zhang, Zhiyong |
author_facet | He, Min Qin, Jian Zhai, Rihong Wei, Xiao Wang, Qi Rong, Minhua Jiang, Zhihua Huang, Yuanjiao Zhang, Zhiyong |
author_sort | He, Min |
collection | PubMed |
description | BACKGROUND: A lack of sensitive and specific biomarkers is a major reason for the high rate of Primary hepatocellular carcinoma (HCC)-related mortality. The aim of this study was to investigate potential proteomic biomarkers specific for HCC. METHODS: 81 patients with hepatitis B-related HCC and 33 healthy controls were randomly divided into a training set (33 HCC, 33 controls) and a testing set (48 HCC, 33 controls). Serum proteomic profiles were measured using Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS).) A classification tree was established by Biomarker Pattern Software (BPS). Candidate SELDI peaks were isolated by tricine-SDS-PAGE, identified by HPLC-MS/MS and validated by immunohistochemistry (IHC) in liver tissues. RESULTS: A total of 6 proteomic peaks (3157.33 m/z, 4177.02 m/z, 4284.79 m/z, 4300.80 m/z, 7789.87 m/z, and 7984.14 m/z) were chosen by BPS to establish a classification tree with the highest discriminatory power in the training set. The sensitivity and specificity of this classification tree were 95.92%, and 100% respectively in the testing set. A candidate marker of about 7984 m/z was isolated and identified as neutrophil-activating peptide 2 (NAP-2). IHC staining showed that NAP-2 signals were positive in HCC tissues but negative in adjacent tissues. CONCLUSION: The NAP-2 may be a specific proteomic biomarker of hepatitis B-related HCC. |
format | Text |
id | pubmed-2275230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22752302008-03-26 Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach He, Min Qin, Jian Zhai, Rihong Wei, Xiao Wang, Qi Rong, Minhua Jiang, Zhihua Huang, Yuanjiao Zhang, Zhiyong Proteome Sci Research BACKGROUND: A lack of sensitive and specific biomarkers is a major reason for the high rate of Primary hepatocellular carcinoma (HCC)-related mortality. The aim of this study was to investigate potential proteomic biomarkers specific for HCC. METHODS: 81 patients with hepatitis B-related HCC and 33 healthy controls were randomly divided into a training set (33 HCC, 33 controls) and a testing set (48 HCC, 33 controls). Serum proteomic profiles were measured using Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS).) A classification tree was established by Biomarker Pattern Software (BPS). Candidate SELDI peaks were isolated by tricine-SDS-PAGE, identified by HPLC-MS/MS and validated by immunohistochemistry (IHC) in liver tissues. RESULTS: A total of 6 proteomic peaks (3157.33 m/z, 4177.02 m/z, 4284.79 m/z, 4300.80 m/z, 7789.87 m/z, and 7984.14 m/z) were chosen by BPS to establish a classification tree with the highest discriminatory power in the training set. The sensitivity and specificity of this classification tree were 95.92%, and 100% respectively in the testing set. A candidate marker of about 7984 m/z was isolated and identified as neutrophil-activating peptide 2 (NAP-2). IHC staining showed that NAP-2 signals were positive in HCC tissues but negative in adjacent tissues. CONCLUSION: The NAP-2 may be a specific proteomic biomarker of hepatitis B-related HCC. BioMed Central 2008-03-10 /pmc/articles/PMC2275230/ /pubmed/18331625 http://dx.doi.org/10.1186/1477-5956-6-10 Text en Copyright © 2008 He et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research He, Min Qin, Jian Zhai, Rihong Wei, Xiao Wang, Qi Rong, Minhua Jiang, Zhihua Huang, Yuanjiao Zhang, Zhiyong Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach |
title | Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach |
title_full | Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach |
title_fullStr | Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach |
title_full_unstemmed | Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach |
title_short | Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach |
title_sort | detection and identification of nap-2 as a biomarker in hepatitis b-related hepatocellular carcinoma by proteomic approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275230/ https://www.ncbi.nlm.nih.gov/pubmed/18331625 http://dx.doi.org/10.1186/1477-5956-6-10 |
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