- Volume 14 Issue 7
DOI QR Code
Biomarkers Screening Between Preoperative and Postoperative Patients in Pancreatic Cancer
- Li, Pei (Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University) ;
- Yang, Juan (Department of Genetics and Molecular Biology, Medical School of Xi'an Jiaotong University/Key Laboratory of Environment and Disease-Related Gene, Ministry of Education) ;
- Ma, Qing-Yong (Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University) ;
- Wu, Zheng (Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University) ;
- Huang, Chen (Department of Genetics and Molecular Biology, Medical School of Xi'an Jiaotong University/Key Laboratory of Environment and Disease-Related Gene, Ministry of Education) ;
- Li, Xu-Qi (Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University) ;
- Wang, Zheng (Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University)
- Published : 2013.07.30
Objective: To investigate discriminating protein patterns and potential biomarkers in serum samples between pre/postoperative pancreatic cancer patients and healthy controls. Methods: 23 serum samples from PC patients (12 preoperative and 11 postoperative) and 76 from healthy controls were analyzed using matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF MS) technique combined with magnetic beads-based weak cation-exchange chromatography (MB-WCX). ClinProTools software selected several markers that made a distinction between pancreatic cancer patients and healthy controls. Results: 49 m/z distinctive peaks were found among the three groups, of which 33 significant peaks with a P < 0.001 were detected. Two proteins could distinguish the preoperative pancreatic cancer patients from the healthy controls. About 15 proteins may be potential biomarkers in assessment of pancreatic cancer resection. Conclusion: MB-MALDI-TOF-MS method could generate serum peptidome profiles of pancreatic cancer and provide a new approach to identify potential biomarkers for diagnosis and prognosis of this malignancy.
Supported by : National Natural Science Foundation of China
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