Cargando…

Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the fifth most common malignant cancer in the world. The sensitivity of alpha-fetoprotein (AFP) is still inadequate for HCC diagnosis. Tissue interstitial fluid (TIF), as the liquid microenvironment of cancer cells, was used for biomarker discovery in this study. Pa...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Wei, Xing, Baocai, Guo, Lihai, Liu, Zhilei, Mu, Jinsong, Sun, Longqin, Wei, Handong, Zhao, Xiaohang, Qian, Xiaohong, Jiang, Ying, He, Fuchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877711/
https://www.ncbi.nlm.nih.gov/pubmed/27216119
http://dx.doi.org/10.1038/srep26499
_version_ 1782433428489109504
author Sun, Wei
Xing, Baocai
Guo, Lihai
Liu, Zhilei
Mu, Jinsong
Sun, Longqin
Wei, Handong
Zhao, Xiaohang
Qian, Xiaohong
Jiang, Ying
He, Fuchu
author_facet Sun, Wei
Xing, Baocai
Guo, Lihai
Liu, Zhilei
Mu, Jinsong
Sun, Longqin
Wei, Handong
Zhao, Xiaohang
Qian, Xiaohong
Jiang, Ying
He, Fuchu
author_sort Sun, Wei
collection PubMed
description Hepatocellular carcinoma (HCC) is the fifth most common malignant cancer in the world. The sensitivity of alpha-fetoprotein (AFP) is still inadequate for HCC diagnosis. Tissue interstitial fluid (TIF), as the liquid microenvironment of cancer cells, was used for biomarker discovery in this study. Paired tumor and nontumor TIF samples from 6 HBV-HCC patients were analyzed by a proteomic technique named iTRAQ (isobaric tag for relative and absolute quantitation). Totally, 241 up-regulated proteins (ratio ≥ 1.3, p < 0.05) and 288 down-regulated proteins (ratio ≤ −1.3, p < 0.05) in tumor TIF were identified. Interestingly, proteins in S100 family were found remarkably up-regulated in tumor TIF. One dramatically up-regulated protein S100A9 (ratio = 19) was further validated by ELISA in sera from liver cirrhosis (LC, HCC high risk population) and HCC patients (n = 47 for each group). The level of this protein was significantly elevated in HCC sera compared with LC (p < 0.0001). The area under the curve of this protein to distinguish HCC from LC was 0.83, with sensitivity of 91% (higher than AFP) and specificity of 66%. This result demonstrated the potential of S100A9 as a candidate HCC diagnostic biomarker. And TIF was a kind of promising material to identify candidate tumor biomarkers that could be detected in serum.
format Online
Article
Text
id pubmed-4877711
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-48777112016-06-08 Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma Sun, Wei Xing, Baocai Guo, Lihai Liu, Zhilei Mu, Jinsong Sun, Longqin Wei, Handong Zhao, Xiaohang Qian, Xiaohong Jiang, Ying He, Fuchu Sci Rep Article Hepatocellular carcinoma (HCC) is the fifth most common malignant cancer in the world. The sensitivity of alpha-fetoprotein (AFP) is still inadequate for HCC diagnosis. Tissue interstitial fluid (TIF), as the liquid microenvironment of cancer cells, was used for biomarker discovery in this study. Paired tumor and nontumor TIF samples from 6 HBV-HCC patients were analyzed by a proteomic technique named iTRAQ (isobaric tag for relative and absolute quantitation). Totally, 241 up-regulated proteins (ratio ≥ 1.3, p < 0.05) and 288 down-regulated proteins (ratio ≤ −1.3, p < 0.05) in tumor TIF were identified. Interestingly, proteins in S100 family were found remarkably up-regulated in tumor TIF. One dramatically up-regulated protein S100A9 (ratio = 19) was further validated by ELISA in sera from liver cirrhosis (LC, HCC high risk population) and HCC patients (n = 47 for each group). The level of this protein was significantly elevated in HCC sera compared with LC (p < 0.0001). The area under the curve of this protein to distinguish HCC from LC was 0.83, with sensitivity of 91% (higher than AFP) and specificity of 66%. This result demonstrated the potential of S100A9 as a candidate HCC diagnostic biomarker. And TIF was a kind of promising material to identify candidate tumor biomarkers that could be detected in serum. Nature Publishing Group 2016-05-24 /pmc/articles/PMC4877711/ /pubmed/27216119 http://dx.doi.org/10.1038/srep26499 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Sun, Wei
Xing, Baocai
Guo, Lihai
Liu, Zhilei
Mu, Jinsong
Sun, Longqin
Wei, Handong
Zhao, Xiaohang
Qian, Xiaohong
Jiang, Ying
He, Fuchu
Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma
title Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma
title_full Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma
title_fullStr Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma
title_full_unstemmed Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma
title_short Quantitative Proteomics Analysis of Tissue Interstitial Fluid for Identification of Novel Serum Candidate Diagnostic Marker for Hepatocellular Carcinoma
title_sort quantitative proteomics analysis of tissue interstitial fluid for identification of novel serum candidate diagnostic marker for hepatocellular carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877711/
https://www.ncbi.nlm.nih.gov/pubmed/27216119
http://dx.doi.org/10.1038/srep26499
work_keys_str_mv AT sunwei quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT xingbaocai quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT guolihai quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT liuzhilei quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT mujinsong quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT sunlongqin quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT weihandong quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT zhaoxiaohang quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT qianxiaohong quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT jiangying quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma
AT hefuchu quantitativeproteomicsanalysisoftissueinterstitialfluidforidentificationofnovelserumcandidatediagnosticmarkerforhepatocellularcarcinoma