Enzymes and related proteins as cancer biomarkers: A proteomic approach

被引:52
|
作者
Liang, Shu-Ling [1 ]
Chan, Daniel W. [1 ]
机构
[1] Johns Hopkins Med Inst, Dept Pathol, Baltimore, MD 21287 USA
关键词
clinical proteomics; cancer biomarkers; mass spectrometry; prostate specific antigen;
D O I
10.1016/j.cca.2007.02.017
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: The discovery of cancer biomarkers has become a major focus of cancer research, which holds promising future for early detection, diagnosis, monitoring disease recurrence and therapeutic treatment efficacy to improve long-term survival of cancer patients. Most of the functional information of the cancer-associated genes resides in the proteome. Since cancer is a complex disease, it might require a panel of multiple biomarkers in order to achieve sufficient clinical efficacy. Methods: Serum/plasma is the most accessible biological specimen collected from patients. Therefore, serum proteomic diagnostics would be the most promising new test for cancer. With the advent of new and improved proteomic technologies, such as protein chips and mass spectrometry coupled with advanced bioinformatic tools, it is possible to develop potential cancer biomarkers. However, specimen collection, handling, study design and data analysis are essential components for successful biomarker discovery and validation. Multi-center case control study should be conducted with extensive clinical validation to minimize the impact of possible confounding variables (non-biological). Conclusions: Enzymes and related proteins, such as inhibitors, are promising candidates for cancer diagnostics. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:93 / 97
页数:5
相关论文
共 50 条
  • [31] Proteomic biomarkers for lung cancer progression
    Ren, Yanjiao
    Zhao, Shishun
    Jiang, Dandan
    Feng, Xin
    Zhang, Yexian
    Wei, Zhipeng
    Wang, Zhongyu
    Zhang, Wenniu
    Zhou, Qing F.
    Li, Yong
    Hou, Hanxu
    Xu, Ying
    Zhou, Fengfeng
    BIOMARKERS IN MEDICINE, 2018, 12 (03) : 205 - 215
  • [32] Bioinformatic challenges for proteomic biomarkers of cancer
    David L Tabb
    Daniel C Liebler
    BMC Bioinformatics, 12
  • [33] Proteomic Biomarkers for the Detection of Endometrial Cancer
    Njoku, Kelechi
    Chiasserini, Davide
    Whetton, Anthony D.
    Crosbie, Emma J.
    CANCERS, 2019, 11 (10)
  • [34] Kallikrein enzymes as biomarkers for cancer
    Diamandis, Eleftherios P.
    CLINICA CHIMICA ACTA, 2007, 381 (01) : 102 - 102
  • [35] Virulence Biomarkers of Bursaphelenchus xylophilus: A Proteomic Approach
    Cardoso, Joana M. S.
    Anjo, Sandra I.
    Manadas, Bruno
    Silva, Hugo
    Abrantes, Isabel
    Nakamura, Katsunori
    Fonseca, Luis
    FRONTIERS IN PLANT SCIENCE, 2022, 12
  • [36] Proteomic approach in the search of new cardiovascular biomarkers
    Gallego-Delgado, J
    Lazaro, A
    Osende, JI
    Barderas, MG
    Blanco-Colio, LM
    Duran, MC
    Martin-Ventura, JL
    Vivanco, F
    Egido, J
    KIDNEY INTERNATIONAL, 2005, 68 : 103 - 107
  • [37] Proteomic approach for the identification of potential biomarkers in schizophrenia
    Yamada, Shinnosuke
    Nagai, Taku
    Yoshimi, Akira
    Ohashi, Mitsuki
    Ito, Yoshihito
    Noda, Yukihiro
    Ozaki, Norio
    JOURNAL OF PHARMACOLOGICAL SCIENCES, 2010, 112 : 63P - 63P
  • [38] Proteomic approach for detection of biomarkers in rheumatoid arthritis
    Park, M.
    Chung, S.
    Kim, T.
    Lee, J.
    FEBS JOURNAL, 2009, 276 : 117 - 118
  • [39] Identifying proteins in the autophagosomes by a proteomic approach
    Hoyer-Hansen, Maria
    Dengjel, Joern
    Andersen, Jens
    Jaattela, Marja
    APMIS, 2008, 116 (05) : 424 - 424
  • [40] A Label-Free Proteomic Approach for the Identification of Biomarkers in the Exosome of Endometrial Cancer Serum
    Sommella, Eduardo
    Capaci, Valeria
    Aloisio, Michelangelo
    Salviati, Emanuela
    Campiglia, Pietro
    Molinario, Giuseppe
    Licastro, Danilo
    Di Lorenzo, Giovanni
    Romano, Federico
    Ricci, Giuseppe
    Monasta, Lorenzo
    Ura, Blendi
    CANCERS, 2022, 14 (24)