LC‐MS/MS‐based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma

蛋白质组 生物标志物 定量蛋白质组学 化学 质谱法 串联质量标签 计算生物学 生物 血液蛋白质类
作者
Tsung-Heng Tsai,Ehwang Song,Rui Zhu,Cristina Di Poto,Minkun Wang,Yue Luo,Rency S. Varghese,Mahlet G. Tadesse,Dina Hazem Ziada,Chirag S. Desai,Kirti Shetty,Yehia Mechref,Habtom W. Ressom
出处
期刊:Proteomics [Wiley]
卷期号:15 (13): 2369-2381 被引量:64
标识
DOI:10.1002/pmic.201400364
摘要

Associating changes in protein levels with the onset of cancer has been widely investigated to identify clinically relevant diagnostic biomarkers. In the present study, we analyzed sera from 205 patients recruited in the United States and Egypt for biomarker discovery using label‐free proteomic analysis by LC‐MS/MS. We performed untargeted proteomic analysis of sera to identify candidate proteins with statistically significant differences between hepatocellular carcinoma (HCC) and patients with liver cirrhosis. We further evaluated the significance of 101 proteins in sera from the same 205 patients through targeted quantitation by MRM on a triple quadrupole mass spectrometer. This led to the identification of 21 candidate protein biomarkers that were significantly altered in both the United States and Egyptian cohorts. Among the 21 candidates, ten were previously reported as HCC‐associated proteins (eight exhibiting consistent trends with our observation), whereas 11 are new candidates discovered by this study. Pathway analysis based on the significant proteins reveals upregulation of the complement and coagulation cascades pathway and downregulation of the antigen processing and presentation pathway in HCC cases versus patients with liver cirrhosis. The results of this study demonstrate the power of combining untargeted and targeted quantitation methods for a comprehensive serum proteomic analysis, to evaluate changes in protein levels and discover novel diagnostic biomarkers. All MS data have been deposited in the ProteomeXchange with identifier PXD001171 ( http://proteomecentral.proteomexchange.org/dataset/PXD001171 ).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
酉昧发布了新的文献求助10
1秒前
咕噜咕噜发布了新的文献求助10
1秒前
1秒前
w1x2123发布了新的文献求助10
1秒前
2秒前
火星上的西牛完成签到,获得积分10
2秒前
圆滚滚发布了新的文献求助10
2秒前
Zerta发布了新的文献求助10
2秒前
Zoe发布了新的文献求助30
2秒前
陌上发布了新的文献求助10
2秒前
2秒前
英俊的铭应助油条咔咔咔采纳,获得10
3秒前
大力的契完成签到,获得积分10
3秒前
4秒前
呵呵喝喝完成签到 ,获得积分10
4秒前
红发罗恩发布了新的文献求助10
4秒前
天晴完成签到,获得积分0
4秒前
笨笨摇伽完成签到,获得积分10
4秒前
小张想发刊完成签到,获得积分10
5秒前
传奇3应助1AN采纳,获得10
5秒前
无花果应助pudding采纳,获得10
5秒前
斯文败类应助月蚀六花采纳,获得10
6秒前
大力的契发布了新的文献求助30
6秒前
6秒前
zkh发布了新的文献求助10
6秒前
anima720发布了新的文献求助10
6秒前
飞天插层完成签到,获得积分20
6秒前
7秒前
7秒前
8秒前
Orange应助天晴采纳,获得10
8秒前
8秒前
李沐阳完成签到,获得积分10
9秒前
CAST1347完成签到,获得积分0
9秒前
满意曼寒发布了新的文献求助10
9秒前
9秒前
orixero应助唐红云采纳,获得10
9秒前
ldx完成签到 ,获得积分10
9秒前
煮汤圆完成签到 ,获得积分20
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7740171
求助须知:如何正确求助?哪些是违规求助? 9288847
关于积分的说明 20192582
捐赠科研通 7318340
什么是DOI,文献DOI怎么找? 3306351
关于科研通互助平台的介绍 2458661
邀请新用户注册赠送积分活动 2316462