Identification of biomarkers for colorectal cancer through proteomics-based approaches

被引:34
作者
Tjalsma, Harold [1 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Dept Lab Med, NL-6500 HB Nijmegen, Netherlands
关键词
cancer; colorectal cancer; diagnostics; mass spectrometry; proteomics; FECAL OCCULT-BLOOD; HUMAN COLON-CANCER; HUMORAL IMMUNE-RESPONSE; SERUM TUMOR-MARKER; SELDI-TOF MS; MASS-SPECTROMETRY; PROSTATE-CANCER; DIFFERENTIAL EXPRESSION; POTENTIAL BIOMARKER; STREPTOCOCCUS-BOVIS;
D O I
10.1586/EPR.10.81
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The early detection of colorectal cancer is one of the great challenges in the battle against this disease. However, owing to its heterogeneous character, single markers are not likely to provide sufficient diagnostic power to be used in colorectal cancer population screens. This review provides an overview of recent studies aimed at the discovery of new diagnostic protein markers through proteomics-based approaches. It indicates that studies that start with the proteomic analysis of tumor tissue or tumor cell lines (near the source) have a high potential to yield novel and colorectal cancer-specific biomarkers. In the next step, the diagnostic accuracy of these candidate markers can be assessed by a targeted ELISA assay using serum from colorectal cancer patients and healthy controls. Instead, direct proteomic analysis of serum yields predominantly secondary markers composed of fragments of abundant serum proteins that may be associated with tumor-associated protease activity, and alternatively, immunoproteomic analysis of the serum antibody repertoire provides a valuable tool to identify the molecular imprint of colorectal cancer-associated antigens directly from patient serum samples. The latter approach also allows a relatively easy translation into targeted assays. Eventually, multimarker assays should be developed to reach a diagnostic accuracy that meets the stringent criteria for colorectal cancer screening at the population level.
引用
收藏
页码:879 / 895
页数:17
相关论文
共 50 条
  • [31] A targeted proteomics-based pipeline for verification of biomarkers in plasma
    Whiteaker, Jeffrey R.
    Lin, Chenwei
    Kennedy, Jacob
    Hou, Liming
    Trute, Mary
    Sokal, Izabela
    Yan, Ping
    Schoenherr, Regine M.
    Zhao, Lei
    Voytovich, Uliana J.
    Kelly-Spratt, Karen S.
    Krasnoselsky, Alexei
    Gafken, Philip R.
    Hogan, Jason M.
    Jones, Lisa A.
    Wang, Pei
    Amon, Lynn
    Chodosh, Lewis A.
    Nelson, Peter S.
    McIntosh, Martin W.
    Kemp, Christopher J.
    Paulovich, Amanda G.
    NATURE BIOTECHNOLOGY, 2011, 29 (07) : 625 - U108
  • [32] Clinical proteomics: Discovery of cancer biomarkers using mass spectrometry and bioinformatics approaches - A prostate cancer perspective
    Matharoo-Ball, Balwir
    Ball, Graham
    Rees, Robert
    VACCINE, 2007, 25 : B110 - B121
  • [33] Cancer proteomics - Innovative approaches in colorectal cancer diagnostics
    Bader, F. G.
    Habermann, J. K.
    Zimmermann, K.
    Gemoll, T.
    Franke, C.
    Bruch, H. -P.
    Auer, G.
    Roblick, U. J.
    VISZERALCHIRURGIE, 2007, 42 (03): : 125 - 133
  • [34] Proteomics-Based Analysis of Protein Complexes in Pluripotent Stem Cells and Cancer Biology
    Sudhir, Putty-Reddy
    Chen, Chung-Hsuan
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2016, 17 (03):
  • [35] Serum Olink Proteomics-Based Identification of Protein Biomarkers Associated with the Immune Response in Ischemic Stroke
    Zhao, Tian
    Zeng, Jingjing
    Zhang, Ruijie
    Fan, Weinv
    Guan, Qiongfeng
    Wang, Han
    Pu, Liyuan
    Jiang, Yannan
    Yang, Huiqun
    Wang, Xiaokun
    Han, Liyuan
    JOURNAL OF PROTEOME RESEARCH, 2024, 23 (03) : 1118 - 1128
  • [36] Proteomics and the search for biomarkers for renal cancer
    Craven, Rachel A.
    Vasudev, Naveen S.
    Banks, Rosamonde E.
    CLINICAL BIOCHEMISTRY, 2013, 46 (06) : 456 - 465
  • [37] Proteomics-based identification of cancer-associated proteins in chronic lymphocytic leukaemia
    Alsagaby, Suliman A.
    Brewis, Ian A.
    Vijayakumar, Rajendran
    Alhumaydhi, Fahad A.
    Alwashmi, Ameen S.
    Alharbi, Naif K.
    Al Abdulmonem, Waleed
    Premanathan, Mariappan
    Pratt, Guy
    Fegan, Christopher
    Pepper, Christopher
    Brennan, Paul
    ELECTRONIC JOURNAL OF BIOTECHNOLOGY, 2021, 52 : 1 - 12
  • [38] Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases
    Glazyrin, Yury E.
    Veprintsev, Dmitry V.
    Ler, Irina A.
    Rossovskaya, Maria L.
    Varygina, Svetlana A.
    Glizer, Sofia L.
    Zamay, Tatiana N.
    Petrova, Marina M.
    Minic, Zoran
    Berezovski, Maxim, V
    Kichkailo, Anna S.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (13) : 1 - 11
  • [39] Biomarkers for Colorectal Cancer
    Tanaka, Takuji
    Tanaka, Mayu
    Tanaka, Takahiro
    Ishigamori, Rikako
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2010, 11 (09): : 3209 - 3225
  • [40] Identification of SEC61β and its autoantibody as biomarkers for colorectal cancer
    Fan, Chung-Wei
    Chan, Chung-Chuan
    Chen, Kuei-Tien
    Twu, Jen
    Huang, Ya-Shu
    Han, Chia-Li
    Chen, Yu-Ju
    Yu, Jau-Song
    Chang, Yu-Sun
    Kuo, Yung-Bin
    Chan, Err-Cheng
    CLINICA CHIMICA ACTA, 2011, 412 (11-12) : 887 - 893