Serum Protein Profiling of Cervical Cancer Patients Using Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

Abstract

Using surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS) technology, serum protein profiling was screened for the discovery of differentially expressed proteins between cervical cancer patients and control samples. Proteins and peptides in serum were captured by a CM10 proteinchip, and then detected by a proteinchip reader. The resulting profiling of all collected samples was analyzed with proteinchip software. Seven protein peaks were significantly regulated between the cancer group and the control group (p < 0.05). Fifty-three peaks in the m/z range from 2 kDa to 20 kDa were selected for partial least squares discriminant analysis (PLS-DA). The diagnostic model can distinguish cervical cancer in the blind test set from health controls with an accuracy of 90%. The combination of SELDI-TOF-MS and PLS-DA model can be used to screen significant proteins of differential expression in the serum of cervical cancer and may play a potential role in the diagnostics of cervical cancer.

Keywords:

• Cervical cancer
• PLS-DA
• Proteomics
• SELDI-TOF-MS
• Serum

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 21005050), the Scientific Research Common Program of Beijing Municipal Commission of Education (No. KM201010028009) and the Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality (No. PHR20100718 and PHR 201108147).