Proteomic Analysis of Serum in Lung Cancer Induced by 3-MethylcholanthreneReport as inadecuate




Proteomic Analysis of Serum in Lung Cancer Induced by 3-Methylcholanthrene - Download this document for free, or read online. Document in PDF available to download.

Journal of Biomedicine and BiotechnologyVolume 2009 2009, Article ID 397910, 12 pages

Research ArticleDepartment of Pathology, Medical College, Wuhan University, No.185 Dong-Hu Road, Wuhan 430071, China

Received 9 February 2009; Revised 31 May 2009; Accepted 3 July 2009

Academic Editor: Eric W. Lam

Copyright © 2009 Minhua Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of lung cancer is problematic due to the lack of a marker with high diagnosis sensitivity and specificity. To determine the differently expressed proteins in the serum of lung cancer and figure out the function of the proteins, two-dimensional electrophoresis 2DE and matrix-assisted laser desorption-ionization time-of-flight mass spectrometry MALDI-TOF-MS were used to screen the serum proteins of lung cancer model induced by 3-methylcholanthrene MCA. From optimized 2DE image, 455 spots in the normal sera and 716 spots in the lung cancers sera were detected. Among them, 141 protein spots were differentially expressed when comparing the serum from normal rat and serum from lung cancer model, including 82 overexpressed proteins and 59 underexpressed proteins. Changes of haptoglobin, transthyretin, and TNF superfamily member 8 TNFRS8 were confirmed in sera from lung cancer by MALDI-TOF-MS. Proteomics technology leads to identify changes of haptoglobin, transthyretin, and TNFRS8 in serum of rat lung cancer model and represents a powerful tool in searching for candidate proteins as biomarkers.





Author: Minhua Li, Bo Ye, Yuxia Zhang, Honglei Chen, Dong Xia, Mingqiu Liu, and Fei Yang

Source: https://www.hindawi.com/



DOWNLOAD PDF




Related documents