In-depth proteomic analysis of nonsmall cell lung cancer to discover molecular targets and candidate biomarkers

对非小细胞肺癌进行深入的蛋白质组学分析,发现分子靶点和候选生物标志物

阅读:9
作者:Takefumi Kikuchi, Mohamed Hassanein, Joseph M Amann, Qinfeng Liu, Robbert J C Slebos, S M Jamshedur Rahman, Jacob M Kaufman, Xueqiong Zhang, Megan D Hoeksema, Bradford K Harris, Ming Li, Yu Shyr, Adriana L Gonzalez, Lisa J Zimmerman, Daniel C Liebler, Pierre P Massion, David P Carbone

Abstract

Advances in proteomic analysis of human samples are driving critical aspects of biomarker discovery and the identification of molecular pathways involved in disease etiology. Toward that end, in this report we are the first to use a standardized shotgun proteomic analysis method for in-depth tissue protein profiling of the two major subtypes of nonsmall cell lung cancer and normal lung tissues. We identified 3621 proteins from the analysis of pooled human samples of squamous cell carcinoma, adenocarcinoma, and control specimens. In addition to proteins previously shown to be implicated in lung cancer, we have identified new pathways and multiple new differentially expressed proteins of potential interest as therapeutic targets or diagnostic biomarkers, including some that were not identified by transcriptome profiling. Up-regulation of these proteins was confirmed by multiple reaction monitoring mass spectrometry. A subset of these proteins was found to be detectable and differentially present in the peripheral blood of cases and matched controls. Label-free shotgun proteomic analysis allows definition of lung tumor proteomes, identification of biomarker candidates, and potential targets for therapy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。