Comparative Proteomic Analysis of Exosomes and Microvesicles in Human Saliva for Lung Cancer

被引:134
作者
Sun, Yan [1 ]
Huo, Chunhui [1 ]
Qao, Zhi [1 ]
Shang, Zhi [1 ]
Uzzaman, Asad [1 ]
Liu, Sha [1 ]
Jiang, Xiaoteng [1 ]
Fan, Liu-Yin [1 ]
Ji, Liyun [1 ]
Guan, Xin [2 ]
Cao, Cheng-Xi [1 ]
Xiao, Hua [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Peoples Hosp 9, Dept Thorac Surg, Shanghai 200011, Peoples R China
基金
中国国家自然科学基金;
关键词
extracellular vesicles; saliva; exosomes; microvesicles; proteomics; lung cancer; EXTRACELLULAR VESICLES; CURRENT STATE; BIOMARKERS; CORNULIN;
D O I
10.1021/acs.jproteome.7b00770
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Extracellular vesicles (EVs) are cell-derived microparticles present in most body fluids, mainly including microvesicles and exosomes. EV-harbored proteins have emerged as novel biomarkers for the diagnosis and prediction of different cancers. We successfully isolated microvesicles and exosomes from human saliva, which were further characterized comprehensively. Salivary EV protein profiling in normal subjects and lung cancer patients was systematically compared through utilizing LC MS/MS-based label-free quantification. 785 and 910 proteins were identified from salivary exosomes and microvesicles, respectively. According to statistical analysis, 150 and 243 proteins were revealed as dysregulated candidates in exosomes and microvesicles for lung cancer. Among them, 25 and 40 proteins originally from distal organ cells were found in the salivary exosomes and microvesicles of lung cancer patients. In particular, 5 out of 25 and 9 out of 40 are lung-related proteins. Six potential candidates were selected for verification by Western blot, and four of them, namely, BPIFA1, CRNN, MUCSB, and IQGAP, were confirmed either in salivary microvesicles or in exosomes. Our data collectively demonstrate that salivary EVs harbor informative proteins that might be used for the detection of lung cancer through a noninvasive way.
引用
收藏
页码:1101 / 1107
页数:7
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