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

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作者
Wei Sun
Baocai Xing
Lihai Guo
Zhilei Liu
Jinsong Mu
Longqin Sun
Handong Wei
Xiaohang Zhao
Xiaohong Qian
Ying Jiang
Fuchu He
机构
[1] State Key Laboratory of Proteomics,
[2] Beijing Proteome Research Center,undefined
[3] National Center for Protein Sciences Beijing,undefined
[4] Beijing Institute of Radiation Medicine,undefined
[5] Beijing Cancer Hospital,undefined
[6] AB SCIEX,undefined
[7] MOE Key Laboratory of Bioinformatics,undefined
[8] School of Life Sciences,undefined
[9] Tsinghua University,undefined
[10] 302 Hospital of PLA,undefined
[11] State Key Laboratory of Molecular Oncology,undefined
[12] Cancer Institute & Hospital,undefined
[13] Chinese Academy of Medical Sciences & Peking Union Medical College,undefined
[14] Institutes of Biomedical Sciences,undefined
[15] Fudan University,undefined
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摘要
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.
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