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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...

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Autores principales: He, Min, Qin, Jian, Zhai, Rihong, Wei, Xiao, Wang, Qi, Rong, Minhua, Jiang, Zhihua, Huang, Yuanjiao, Zhang, Zhiyong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
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.
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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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