Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer

被引:8
|
作者
Ryan, Sarah-Louise [1 ]
Dave, Keyur A. [1 ]
Beard, Sam [1 ]
Gyimesi, Martina [1 ]
McTaggart, Matthew [1 ]
Sahin, Katherine B. [1 ]
Molloy, Christopher [1 ]
Gandhi, Neha S. [2 ]
Boittier, Eric [1 ]
O'Leary, Connor G. [1 ,3 ]
Shah, Esha T. [1 ]
Bolderson, Emma [1 ]
Baird, Anne-Marie [4 ,5 ]
Richard, Derek J. [1 ]
O'Byrne, Kenneth J. [1 ,3 ,5 ]
Adams, Mark N. [1 ]
机构
[1] Queensland Univ Technol, Fac Hlth, Sch Biomed Sci, Inst Hlth & Biomed Innovat,Translat Res Inst, Woolloongabba, Qld, Australia
[2] Queensland Univ Technol, Fac Sci & Engn, Sch Chem & Phys, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia
[3] Princess Alexandra Hosp, Canc Serv, Woolloongabba, Qld, Australia
[4] Trinity Coll Dublin, Dept Clin Med, Trinity Translat Med Inst, Dublin, Ireland
[5] St James Hosp, Thorac Oncol Res Grp, Labmed Directorate, Dublin, Ireland
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
基金
英国医学研究理事会;
关键词
non-small cell lung cancer; platinum-based chemotherapy; cisplatin; quantitative proteomics; biomarkers; therapeutic targets; machine learning; CISPLATIN; EXPRESSION; DRUG; PROGNOSIS;
D O I
10.3389/fonc.2021.615967
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Platinum-based chemotherapy remains the cornerstone of treatment for most people with non-small cell lung cancer (NSCLC), either as adjuvant therapy in combination with a second cytotoxic agent or in combination with immunotherapy. Resistance to therapy, either in the form of primary refractory disease or evolutionary resistance, remains a significant issue in the treatment of NSCLC. Hence, predictive biomarkers and novel combinational strategies are required to improve the effectiveness and durability of treatment response 6for people with NSCLC. The aim of this study was to identify novel biomarkers and/or druggable proteins from deregulated protein networks within non-oncogene driven disease that are involved in the cellular response to cisplatin. Following exposure of NSCLC cells to cisplatin, in vitro quantitative mass spectrometry was applied to identify altered protein response networks. A total of 65 proteins were significantly deregulated following cisplatin exposure. These proteins were assessed to determine if they are druggable targets using novel machine learning approaches and to identify whether these proteins might serve as prognosticators of platinum therapy. Our data demonstrate novel candidates and drug-like molecules warranting further investigation to improve response to platinum agents in NSCLC.
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页数:13
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