Discovering cancer biomarkers from clinical samples by protein microarrays

被引：21
|
作者：
Hu, Bin [1 ]
Niu, Xin [1 ]
Cheng, Li [2 ,3 ]
Yang, Li-Na [2 ,3 ]
Li, Qing [1 ]
Wang, Yang [1 ]
Tao, Sheng-Ce [2 ,3 ]
Zhou, Shu-Min [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Shanghai Hosp 6, Inst Microsurg Limbs, Shanghai 200231, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biomed, Key Lab Syst Biomed, Shanghai 200231, Peoples R China
[3] State Key Lab Oncogenes & Related Genes, Shanghai, Peoples R China
来源：
PROTEOMICS CLINICAL APPLICATIONS | 2015年 / 9卷 / 1-2期
基金：
中国国家自然科学基金; 美国国家科学基金会; 国家高技术研究发展计划(863计划);
关键词：
Cancer biomarker; Cancer metastasis; Clinical samples; Protein microarray; DIFFERENTIALLY EXPRESSED PROTEINS; CELL SIGNALING ANALYSIS; BREAST-CANCER; ANTIBODY MICROARRAY; LECTIN MICROARRAY; OVARIAN-CANCER; INCREASED CIRCULATION; INTERSTITIAL FLUID; TUMOR-CELLS; IDENTIFICATION;
D O I：
10.1002/prca.201400094
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Cancer biomarkers are of potential use in early cancer diagnosis, anticancer therapy development, and monitoring the responses to treatments. Protein-based cancer biomarkers are major forms in use, as they are much easier to be monitored in body fluids or tissues. For cancer biomarker discovery, high-throughput techniques such as protein microarrays hold great promises, because they are capable of global unbiased monitoring but with a miniaturized format. In doing so, novel and cancer type specific biomarkers can be systematically discovered at an affordable cost. In this review, we give a relatively complete picture on protein microarrays applied to clinical samples for cancer biomarker discovery, and conclude this review with the future perspectives.
引用
收藏
页码：98 / 110
页数：13
相关论文
共 50 条
  • [21] Direct sensing of cancer biomarkers in clinical samples with a designed nanopore
    Lin, Yao
    Ying, Yi-Lun
    Shi, Xin
    Liu, Shao-Chuang
    Long, Yi-Tao
    CHEMICAL COMMUNICATIONS, 2017, 53 (84) : 11564 - 11567
  • [22] Strategies for discovering novel pancreatic cancer biomarkers
    Chan, Alison
    Diamandis, Eleftherios P.
    Blasutig, Ivan M.
    JOURNAL OF PROTEOMICS, 2013, 81 : 126 - 134
  • [23] Metabolome analysis for discovering biomarkers of gastroenterological cancer
    Suzuki, Makoto
    Nishiumi, Shin
    Matsubara, Atsuki
    Azuma, Takeshi
    Yoshida, Masaru
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2014, 966 : 59 - 69
  • [24] Current Clinical and Pharmaceutical Applications of Microarrays: From Disease Biomarkers Discovery to Automated Diagnostics
    Lagraulet, Adriana
    JALA, 2010, 15 (05): : 405 - 413
  • [25] Validation of Prognostic Biomarkers on Prostate Cancer Tissue Microarrays
    Johnson, A. D.
    Rizzardi, A. E.
    Marston, L. O.
    Koopmeiners, J. S.
    Metzger, G. J.
    Forster, C. L.
    Vogel, R. I.
    McCarthy, J. B.
    Turley, E. A.
    Tiffany, J. R.
    Ronai, Z.
    Warlick, C. A.
    Schmechel, S. C.
    MODERN PATHOLOGY, 2013, 26 : 495A - 495A
  • [26] The pre-analytical processing of blood samples for detecting biomarkers on protein microarrays (vol 529, pg 39, 2015)
    Rosskopf, Sandra
    Gyurjan, Istvan
    Luna-Coronell, Johana A.
    Vierlinger, Klemens
    Singer, Christian F.
    Rappaport, Christine
    Pecha, Nina
    Weinhaeusel, Andreas
    JOURNAL OF IMMUNOLOGICAL METHODS, 2015, 419 : 57 - 57
  • [27] Personalised proteome analysis by means of protein microarrays made from individual patient samples
    Smiths S. Syafrizayanti
    Cuixia Lueong
    Jonas V. Di
    Andreas Schaefer
    Jörg D. Plückthun
    Scientific Reports, 7
  • [28] Personalised proteome analysis by means of protein microarrays made from individual patient samples
    Syafrizayanti
    Lueong, Smiths S.
    Di, Cuixia
    Schaefer, Jonas V.
    Pluckthun, Andreas
    Hoheisel, Joerg D.
    SCIENTIFIC REPORTS, 2017, 7
  • [29] Lipidomics Applications for Discovering Biomarkers of Diseases in Clinical Chemistry
    Zhao, Ying-Yong
    Cheng, Xian-long
    Lin, Rui-Chao
    INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY, VOL 313, 2014, 313 : 1 - 26
  • [30] The use of DNA microarrays to assess clinical samples: The transition from bedside to bench to bedside
    Copland, JA
    Davies, PJ
    Shipley, GL
    Wood, CG
    Luxon, BA
    Urban, RJ
    RECENT PROGRESS IN HORMONE RESEARCH, VOL 58: HUMAN GENOME AND ENDOCRINOLOGY, 2003, 58 : 25 - 53
12345