首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Discovery and identification of Serum Amyloid A protein elevated in lung cancer serum
Authors:Dai SongWei  Wang XiaoMin  Liu LiYun  Liu JiFu  Wu ShanShan  Huang LingYun  Xiao XueYuan  He DaCheng
Institution:1.Key Laboratory of Cell Proliferation and Regulation of Ministry of Education,Beijing Normal University,Beijing,China;2.Universities’ Confederated Institute of Proteomics,Beijing,China;3.Department of Thoracic Surgery,General Hospital of Beijing Unit, PLA,Beijing,China
Abstract:Two hundred and eighteen serum samples from 175 lung cancer patients and 43 healthy individuals were analyzed by using Surface Enhaced Laser Desorption/Ionization Time of Flight Mass Spectrome-try (SELDI-TOF-MS). The data analyzed by both Biomarker Wizard™ and Biomarker Patterns™ software showed that a protein peak with the molecular weight of 11.6 kDa significantly increased in lung cancer. Meanwhile, the level of this biomarker was progressively increased with the clinical stages of lung cancer. The candidate biomarker was then obtained from tricine one-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis by matching the molecular weight with peaks on WCX2 chips and was identified as Serum Amyloid A protein (SAA) by MALDI/MS-MS and database searching. It was further validated in the same serum samples by immunoprecipitation with commercial SAA antibody. To confirm the SAA differential expression in lung cancer patients, the same set of serum samples was measured by ELISA assay. The result showed that at the cutoff point 0.446 (OD value) on the Receiver Operating Characteristic (ROC) curve, SAA could better discriminate lung cancer from healthy individuals with sensitivity of 84.1% and specificity of 80%. These findings demonstrated that SAA could be characterized as a biomarker related to pathological stages of lung cancer.
Keywords:lung cancer  Serum Amyloid A protein  Surface Enhanced Laser Desorption/lonizaion Time of Flight Mass Spectrometry
本文献已被 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号