Molecular insights into cancer drug resistance from a proteomics perspective

被引:23
作者
An, Yao [1 ,2 ]
Zhou, Li [1 ]
Huang, Zhao [1 ]
Nice, Edouard C. [3 ]
Zhang, Haiyuan [2 ]
Huang, Canhua [1 ,2 ]
机构
[1] Sichuan Univ, West China Sch Basic Med Sci & Forens Med, Chengdu 610041, Sichuan, Peoples R China
[2] Hainan Med Univ, Dept Oncol, Affiliated Hosp 2, Haikou 571199, Hainan, Peoples R China
[3] Monash Univ, Dept Biochem & Mol Biol, Clayton, Vic, Australia
关键词
Cancer drug resistance; mass spectrometry; comparative proteomics; biomarker discovery; PTMs; personalized medicine; CyTOF; SPECTROMETRY-BASED PROTEOMICS; PARAFFIN-EMBEDDED TISSUES; TOP-DOWN PROTEOMICS; MASS-SPECTROMETRY; STEM-CELLS; QUANTITATIVE PROTEOMICS; THERAPY RESISTANCE; REDOX PROTEOMICS; OVARIAN-CANCER; LUNG-CANCER;
D O I
10.1080/14789450.2019.1601561
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Introduction: Resistance to chemotherapy and development of specific and effective molecular targeted therapies are major obstacles facing current cancer treatment. Comparative proteomic approaches have been employed for the discovery of putative biomarkers associated with cancer drug resistance and have yielded a number of candidate proteins, showing great promise for both novel drug target identification and personalized medicine for the treatment of drug-resistant cancer. Areas covered: Herein, we review the recent advances and challenges in proteomics studies on cancer drug resistance with an emphasis on biomarker discovery, as well as understanding the interconnectivity of proteins in disease-related signaling pathways. In addition, we highlight the critical role that post-translational modifications (PTMs) play in the mechanisms of cancer drug resistance. Expert opinion: Revealing changes in proteome profiles and the role of PTMs in drug-resistant cancer is key to deciphering the mechanisms of treatment resistance. With the development of sensitive and specific mass spectrometry (MS)-based proteomics and related technologies, it is now possible to investigate in depth potential biomarkers and the molecular mechanisms of cancer drug resistance, assisting the development of individualized therapeutic strategies for cancer patients.
引用
收藏
页码:413 / 429
页数:17
相关论文
共 165 条
[1]   A perspective on proteomics in cell biology [J].
Ahmad, Yasmeen ;
Lamond, Angus I. .
TRENDS IN CELL BIOLOGY, 2014, 24 (04) :257-264
[2]   Next-generation proteomics: towards an integrative view of proteome dynamics [J].
Altelaar, A. F. Maarten ;
Munoz, Javier ;
Heck, Albert J. R. .
NATURE REVIEWS GENETICS, 2013, 14 (01) :35-48
[3]   Trends in ultrasensitive proteomics [J].
Altelaar, A. F. Maarten ;
Heck, Albert J. R. .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2012, 16 (1-2) :206-213
[4]   Pancreatic Cancer Chemoresistance to Gemcitabine [J].
Amrutkar, Manoj ;
Gladhaug, Ivar P. .
CANCERS, 2017, 9 (11)
[5]   Inhibition of Pyruvate Kinase M2 by Reactive Oxygen Species Contributes to Cellular Antioxidant Responses [J].
Anastasiou, Dimitrios ;
Poulogiannis, George ;
Asara, John M. ;
Boxer, Matthew B. ;
Jiang, Jian-kang ;
Shen, Min ;
Bellinger, Gary ;
Sasaki, Atsuo T. ;
Locasale, Jason W. ;
Auld, Douglas S. ;
Thomas, Craig J. ;
Vander Heiden, Matthew G. ;
Cantley, Lewis C. .
SCIENCE, 2011, 334 (6060) :1278-1283
[6]   Quantitative mass spectrometry in proteomics: a critical review [J].
Bantscheff, Marcus ;
Schirle, Markus ;
Sweetman, Gavain ;
Rick, Jens ;
Kuster, Bernhard .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2007, 389 (04) :1017-1031
[7]  
Barclay J, 2018, ARCH ESP UROL, V71, P393
[8]   Trastuzumab emtansine: mechanisms of action and drug resistance [J].
Barok, Mark ;
Joensuu, Heikki ;
Isola, Jorma .
BREAST CANCER RESEARCH, 2014, 16 (02)
[9]   TAZ is required for metastatic activity and chemoresistance of breast cancer stem cells [J].
Bartucci, M. ;
Dattilo, R. ;
Moriconi, C. ;
Pagliuca, A. ;
Mottolese, M. ;
Federici, G. ;
Di Benedetto, A. ;
Todaro, M. ;
Stassi, G. ;
Sperati, F. ;
Amabile, M. I. ;
Pilozzi, E. ;
Patrizii, M. ;
Biffoni, M. ;
Maugeri-Sacca, M. ;
Piccolo, S. ;
De Maria, R. .
ONCOGENE, 2015, 34 (06) :681-690
[10]   Maximizing Peptide Identification Events in Proteomic Workflows Using Data-Dependent Acquisition (DDA) [J].
Bateman, Nicholas W. ;
Goulding, Scott P. ;
Shulman, Nicholas J. ;
Gadok, Avinash K. ;
Szumlinski, Karen K. ;
MacCoss, Michael J. ;
Wu, Christine C. .
MOLECULAR & CELLULAR PROTEOMICS, 2014, 13 (01) :329-338