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Journal of Biomedicine and Biotechnology
Volume 2012 (2012), Article ID 985020, 8 pages
http://dx.doi.org/10.1155/2012/985020
Research Article

Serum Peptidome Patterns of Colorectal Cancer Based on Magnetic Bead Separation and MALDI-TOF Mass Spectrometry Analysis

1Institute of Anal-Colorectal Surgery, No. 150 Hospital of PLA, LuoYang 471000, China
2The Clinical Laboratory, No. 150 Hospital of PLA, LuoYang 471000, China
3Department of Radiology, The First Affiliated Hospital of Henan Science and Technology University, LuoYang, China

Received 2 February 2012; Accepted 14 June 2012

Academic Editor: Saulius Butenas

Copyright © 2012 Nai-Jun Fan 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

Background. Colorectal cancer (CRC) is one of the most common cancers in the world, identification of biomarkers for early detection of CRC represents a relevant target. The present study aims to determine serum peptidome patterns for CRC diagnosis. Methods. The present work focused on serum proteomic analysis of 32 health volunteers and 38 CRC by ClinProt Kit combined with mass spectrometry. This approach allowed the construction of a peptide patterns able to differentiate the studied populations. An independent group of serum (including 33 health volunteers, 34 CRC, 16 colorectal adenoma, 36 esophageal carcinoma, and 31 gastric carcinoma samples) was used to verify the diagnostic and differential diagnostic capability of the peptidome patterns blindly. An immunoassay method was used to determine serum CEA of CRC and controls. Results. A quick classifier algorithm was used to construct the peptidome patterns for identification of CRC from controls. Two of the identified peaks at m/z 741 and 7772 were used to construct peptidome patterns, achieving an accuracy close to 100% (>CEA, 𝑃 < 0 . 0 5 ). Furthermore, the peptidome patterns could differentiate validation group with high accuracy. Conclusions. These results suggest that the ClinProt Kit combined with mass spectrometry yields significantly higher accuracy for the diagnosis and differential diagnosis of CRC.