Serum proteomic analysis of pancreatic cancer associated diabetes

( views:329, downloads:0 )
Author:
WU Jian-ting(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
TIAN Zi-bin(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
DING Xue-li(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
JING Xue(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
JIANG Yue-ping(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
WEI Liang-zhou(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
KONG Xin-juan(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
ZHANG Cui-ping(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
ZHAO Qing-xi(Department of Gastroenterology, Affiliated Hospital of Qingdao University Medical College, Qingdao 266003, China)
Journal Title:
Chinese Journal of Pancreatology
Issue:
Volume 12, Issue 05, 2012
DOI:
10.3760/cma.j.issn.1674-1935.2012.05.005
Key Word:
Diabetes mellitus ; Pancreatic neoplasms ; Proteomics ; SELDI-TOF-MS

Abstract: Objective To detect serum biomarkers for pancreatic cancer associated diabetes and establish a model for diagnosis.Methods SELDI-TOF-MS was used to detect the differentially expressed serum proteins from 17 pancreatic cancer associated diabetes patients,17 new-onset type Ⅱ diabetes patients and 17 healthy controls,then a model of biomarkers was constructed and validated by Biomarker Patterns Software 5.0.Results Twelve discriminating m/z peaks were identified in the protein fingerprints in 10 pancreatic cancer associated diabetes patients,10 new-onset type Ⅱ diabetes patients and 10 healthy controls.Among them,the three biomarkers of mass/charge ratio 6116,6695 and 8936 were used to construct the model,which could diagnose 90% pancreatic cancer associated diabetes form control groups.Blind test of other7 samples of three groups showed that 100% pancreatic cancer associated diabetes,71% new-onset diabetes and 86% healthy controls were correctly classified.After searching protein database,there were metallothionein,pancreatic progenitor cell differentiation and proliferation factor-like protein,and fibroblastic growth factor 1,which were close to the weights of the above mentioned 3 differentially expressed proteins.Conclusions SELDI can identify 3 biomarkers for pancreatic cancer associated diabetes and a reliable model for diagnosis of pancreatic cancer associated diabetes is established.

  • [1]Pannala R,Basu A,Petersen GM,et al.New-onset diabetes:a potential clue to the early diagnosis of pancreatic cancer.Lancet Oncol,2009,10:88-95.
  • [2]Ben Q,Cai Q,Li Z,et al.The relationship between new-onset diabetes mellitus and pancreatic cancer risk:a case-control study.Eur J Cancer,2011,47:248-254.
  • [3]Chari ST,Leibon CL,Rabe KG,et al.Pancreatic cancer-associated diabetes mellitus:prevalence and temporal association with diagnosis of cancer.Gastroenterology,2008,134:95-101.
  • [4]Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.Diabetes care,1997,20:1183-1197.
  • [5]Chari ST,Zapiach M,Yadav D,et al.Beta-cell function and insulin resistance evaluated by HOMA in pancreatic cancer subjects with varying degrees of glucose intolerance.Panereatology,2005,5:229-233.
  • [6]Park L,Min D,Kim H,et al.Tat-enhanced delivery of metallothionein can partially prevent the development of diabetes.Free Radic Biol Med,2011,51:1666-1674.
  • [7]Hart AW,Baeza N,Apelqvist A,et al.Attenuation of FGF signaling in mouse β-cells leads to diabetes.Nature,2000,408:864-868.
WanfangData CO.,Ltd All Rights Reserved
About WanfangData | Contact US
Healthcare Department, Fuxing Road NO.15, Haidian District Beijing, 100038 P.R.China
Tel:+86-010-58882616 Fax:+86-010-58882615 Email:yiyao@wanfangdata.com.cn