iTRAQ-based quantitative analysis of cancer-derived secretory proteome reveals TPM2 as a potential diagnostic biomarker of colorectal cancer

被引:0
|
作者
Yiming Ma [1 ]
Ting Xiao [1 ]
Quan Xu [2 ]
Xinxin Shao [2 ]
Hongying Wang [1 ]
机构
[1] State Key Laboratory of Molecular Oncology,National Cancer Center/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College
[2] Department of Gastrointestinal Cancer Surgery,National Cancer Center/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Colorectal cancer(CRC) is a leading cause of cancer-related deaths worldwide.We aimed to find novel molecules as potential biomarkers for the early diagnosis of CRC.A serum-free conditioned medium was successfully collected from three pairs of CRC tissue and adjacent normal tissue.iTRAQ-based quantitative proteomic analysis was applied to compare the differences in secretome between primary CRC mucosa and adjacent normal mucosa.A total of 145 kinds of proteins were identified.Of these proteins,29 were significantly different between CRC and normal tissue.Tropomyosin 2β(TPM2) exhibited the most significant differences;as such,this protein was selected for further validation.Quantitative real-time PCR indicated that the mRNA expression of TPM2 significantly decreased in the CRC tissue compared with the paired adjacent normal tissue.Immunohistochemical analysis also confirmed that TPM2 was barely detected at protein levels in the CRC tissue.In summary,this study revealed potential molecules for future biomarker applications and provided an efficient approach for the differential analysis of cancer-associated secretome.TPM2 may be valuable for the early diagnosis of CRC.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] iTRAQ-based quantitative analysis of cancer-derived secretory proteome reveals TPM2 as a potential diagnostic biomarker of colorectal cancer
    Ma, Yiming
    Xiao, Ting
    Xu, Quan
    Shao, Xinxin
    Wang, Hongying
    [J]. FRONTIERS OF MEDICINE, 2016, 10 (03) : 278 - 285
  • [2] iTRAQ-based quantitative analysis of cancer-derived secretory proteome reveals TPM2 as a potential diagnostic biomarker of colorectal cancer
    Yiming Ma
    Ting Xiao
    Quan Xu
    Xinxin Shao
    Hongying Wang
    [J]. Frontiers of Medicine, 2016, 10 : 278 - 285
  • [3] iTRAQ-based proteomics reveals SOD2 as a potential salivary biomarker in liver cancer
    Ding, Feng
    Sun, Kehuan
    Sun, Ningning
    Jiang, Qianqian
    Cao, Meiqun
    Wu, Zhengzhi
    [J]. INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS, 2019, 34 (03): : 221 - 231
  • [4] iTRAQ-based quantitative proteomic analysis of cerebrospinal fluid reveals NELL2 as a potential diagnostic biomarker of tuberculous meningitis
    Yang, Yongtao
    Mu, Jun
    Chen, Guanghui
    Zhan, Yuan
    Zhong, Jiaju
    Wei, Youdong
    Cheng, Ke
    Qin, Bin
    You, Hongmin
    Xie, Peng
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2015, 35 (05) : 1323 - 1332
  • [5] Identification of Nucleobindin-2 as a Potential Biomarker for Breast Cancer Metastasis Using iTRAQ-based Quantitative Proteomic Analysis
    Zeng, Liang
    Zhong, Jingmin
    He, Guangchun
    Li, Fangjun
    Li, Jing
    Zhou, Wen
    Liu, Wenbin
    Zhang, Yun
    Huang, Sanqian
    Liu, Zhihong
    Deng, Xiyun
    [J]. JOURNAL OF CANCER, 2017, 8 (15): : 3062 - 3069
  • [6] iTRAQ-based quantitative proteomic analysis of cervical cancer
    Ding, Yibing
    Yang, Min
    She, Sha
    Min, Haiyan
    Xv, Xiaoming
    Ran, Xiaoping
    Wu, Yongzheng
    Wang, We
    Wang, Lei
    Yi, Long
    Yang, Yixuan
    Gao, Qian
    [J]. INTERNATIONAL JOURNAL OF ONCOLOGY, 2015, 46 (04) : 1748 - 1758
  • [7] iTRAQ-based Quantitative Proteomic Analysis of Dural Tissues Reveals Upregulated Haptoglobin to be a Potential Biomarker of Moyamoya Disease
    Zhang, Xiaojun
    Yin, Lin
    Jia, Xiaofang
    Zhang, Yujiao
    Liu, Tiefu
    Zhang, Lijun
    [J]. CURRENT PROTEOMICS, 2021, 18 (01) : 27 - 37
  • [8] ALPPL2 Is a Potential Diagnostic Biomarker for Pancreatic Cancer-Derived Extracellular Vesicles
    Shin, Hye-Su
    Jung, Sang Baek
    Park, Sungho
    Dua, Pooja
    Lee, Dong Ki
    [J]. MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT, 2019, 15 : 204 - 210
  • [9] iTRAQ-based quantitative proteomic analysis reveals potential virulence factors of Erysipelothrix rhusiopathiae
    Wang, Ya
    Li, Jingtao
    Zhang, Anding
    Zhu, Weifeng
    Zhang, Qiang
    Xu, Zhongmin
    Yan, Shuxian
    Sun, Xiaomei
    Chen, Huanchun
    Jin, Meilin
    [J]. JOURNAL OF PROTEOMICS, 2017, 160 : 28 - 37
  • [10] iTRAQ-based quantitative proteomic analysis reveals potential early diagnostic markers of clear-cell Renal cell carcinoma
    Zhang, Limin
    Jiang, Haowen
    Xu, Gang
    Chu, Nan
    Xu, Ningxing
    Wen, Hui
    Gu, Bin
    Liu, Jun
    Mao, Shanghua
    Na, Rong
    Jing, Yan
    Ding, Qiang
    Zhang, Yuanfang
    Wang, Ling
    [J]. BIOSCIENCE TRENDS, 2016, 10 (03) : 210 - 219