Recent mass spectrometry-based proteomics for biomarker discovery in lung cancer, COPD, and asthma

被引:38
|
作者
Fujii, Kiyonaga [1 ]
Nakamura, Haruhiko [1 ,2 ]
Nishimura, Toshihide [1 ]
机构
[1] St Marianna Univ, Dept Translat Med Informat, Sch Med, Miyamae Ku, Kawasaki, Kanagawa, Japan
[2] St Marianna Univ, Dept Chest Surg, Sch Med, Miyamae Ku, Kawasaki, Japan
关键词
Biomarkers; diagnosis; clinical proteomics; mass spectrometry; lung cancer; COPD; asthma; clinical specimens; protein-protein interaction network; proteogenomics; BRONCHOALVEOLAR LAVAGE FLUID; QUANTITATIVE PROTEOMICS; LABEL-FREE; TISSUE PROTEOMICS; PLEURAL EFFUSIONS; HIGH-RESOLUTION; LARGE-SCALE; ADENOCARCINOMA; QUANTIFICATION; IDENTIFICATION;
D O I
10.1080/14789450.2017.1304215
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Introduction: Lung cancer and related diseases have been one of the most common causes of deaths worldwide. Genomic-based biomarkers may hardly reflect the underlying dynamic molecular mechanism of functional protein interactions, which is the center of a disease. Recent developments in mass spectrometry (MS) have made it possible to analyze disease-relevant proteins expressed in clinical specimens by proteomic challenges.Areas covered: To understand the molecular mechanisms of lung cancer and its subtypes, chronic obstructive pulmonary disease (COPD), asthma and others, great efforts have been taken to identify numerous relevant proteins by MS-based clinical proteomic approaches. Since lung cancer is a multifactorial disease that is biologically associated with asthma and COPD among various lung diseases, this study focused on proteomic studies on biomarker discovery using various clinical specimens for lung cancer, COPD, and asthma.Expert commentary: MS-based exploratory proteomics utilizing clinical specimens, which can incorporate both experimental and bioinformatic analysis of protein-protein interaction and also can adopt proteogenomic approaches, makes it possible to reveal molecular networks that are relevant to a disease subgroup and that could differentiate between drug responders and non-responders, good and poor prognoses, drug resistance, and so on.
引用
收藏
页码:373 / 386
页数:14
相关论文
共 50 条
  • [31] Mass Spectrometry-based Hair Metabolomics for Biomarker Discovery
    Lee, Yu Ra
    Hong, Jongki
    Chung, Bong Chul
    MASS SPECTROMETRY LETTERS, 2022, 13 (01) : 2 - 10
  • [32] Advances in mass spectrometry-based clinical biomarker discovery
    Christopher A. Crutchfield
    Stefani N. Thomas
    Lori J. Sokoll
    Daniel W. Chan
    Clinical Proteomics, 2016, 13
  • [33] Integrated microfluidic device for mass spectrometry-based proteomics and its application to biomarker discovery programs
    Fortier, MH
    Bonneil, E
    Goodley, P
    Thibault, P
    ANALYTICAL CHEMISTRY, 2005, 77 (06) : 1631 - 1640
  • [34] Label-Free Mass Spectrometry-Based Proteomics for Biomarker Discovery and Validation in Tissues and Biofluids
    Jimenez, C. R.
    Fijneman, R. J. A.
    Wit, M.
    Bosch, L.
    Piersma, S. R.
    Pham, T. V.
    Carvalho, B.
    Mongera, S.
    Verheul, H. M. W.
    Meijer, G. A.
    EUROPEAN JOURNAL OF CANCER, 2011, 47 : S34 - S34
  • [35] Mass spectrometry based proteomics in urine biomarker discovery
    Dan Theodorescu
    Harald Mischak
    World Journal of Urology, 2007, 25 : 435 - 443
  • [36] Mass spectrometry based proteomics in urine biomarker discovery
    Theodorescu, Dan
    Mischak, Harald
    WORLD JOURNAL OF UROLOGY, 2007, 25 (05) : 435 - 443
  • [37] Editorial: Mass spectrometry-based proteomics in drug discovery and development
    Pejchinovski, Martin
    Magalhaes, Pedro
    Metzger, Jochen
    FRONTIERS IN MEDICINE, 2024, 11
  • [38] The emerging role of mass spectrometry-based proteomics in drug discovery
    Meissner, Felix
    Geddes-McAlister, Jennifer
    Mann, Matthias
    Bantscheff, Marcus
    NATURE REVIEWS DRUG DISCOVERY, 2022, 21 (09) : 637 - 654
  • [39] The emerging role of mass spectrometry-based proteomics in drug discovery
    Felix Meissner
    Jennifer Geddes-McAlister
    Matthias Mann
    Marcus Bantscheff
    Nature Reviews Drug Discovery, 2022, 21 : 637 - 654
  • [40] Mass spectrometry-based proteomics
    Ruedi Aebersold
    Matthias Mann
    Nature, 2003, 422 : 198 - 207