Title :
Preliminary study of salivary proteome on the diagnosis for discrimination of gastric cancer and chronic gastritis
Author :
Wu, Zheng-Zhi ; Wang, Ji-Guo ; Zhang, Xiao-Li ; Cao, Mei-Qun
Author_Institution :
First Affiliated Hosp. of Shenzhen Univ., Shenzhen, China
Abstract :
Objective: To investigate and seek the special biomarkers of the salivary protein expression profile for the discrimination diagnosis between gastric cancer and chronic gastritis. Method: The saliva collected were detected by applying WCX magnetic beads and using MALDI-TOF-MS technique. Corresponding peptide mass fingerprint was obtained and differential diagnostic cast was developed. Result: Differences in 77 protein peaks were observed from chronic gastritis and gastric cancer patients. One protein peak among them presented statistical significant difference (p < 0.05). Predictive model for discrimination of gastric cancer and chronic gastritis was developed. Its identification rate was 83.54%, and its capability of predication was 60.23%. Conclusion: The protein expression profile of saliva collected from gastric cancer and chronic gastritis patients was preliminarily obtained. The diagnostic cast for discrimination of the two diseases was classified by the expression of molecular weight 6021.72 Da protein.
Keywords :
biochemistry; bioinformatics; biological organs; biomagnetism; cancer; medical diagnostic computing; molecular weight; proteins; proteomics; statistical analysis; time of flight mass spectra; tumours; MALDI-TOF-MS technique; WCX magnetic beads; bioinformatics; biomarkers; chronic gastritis diagnosis; discrimination diagnosis; gastric cancer diagnosis; matrix assisted laser desorption ionization time of flight mass spectrometry technique; peptide mass fingerprint; protein molecular weight; salivary protein expression profile; salivary proteome; statistical analysis; stomach; Atrophy; Biomarkers; Cancer; Diseases; Hospitals; Mass spectroscopy; Medical diagnostic imaging; Peptides; Proteins; Temperature; MALDI-TOF-MS; bioinformatics; chronic gastritis; diagnostic cast; gastric cancer; proteomics; saliva;
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
DOI :
10.1109/ITIME.2009.5236460
