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[Application of serum protein fingerprint in diagnosis of pancreatic cancer].

[Article in Chinese]

Author information

  • 1Department of General Surgery, Zhejiang Provincial People's Hospital, Hangzhou 310014, China. Zhuyw007@com.cn

Abstract

OBJECTIVE:

To establish serum protein fingerprint model for early diagnosis of pancreatic cancer with surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS) and bioinformatics techniques.

METHODS:

A total of 73 samples were analyzed in this study, including 31 cases of pancreatic cancers, 22 cases of pancreatitis and 20 healthy individuals. Samples were first analyzed by SELDI-TOF-MS and two patterns of differentiation model were constructed with support vector machine arithmetic method.

RESULTS:

The pattern 1 model differentiating pancreatic cancer patients from healthy individuals had a specificity and a sensitivity of both 100.0%. The pattern 2 model differentiating pancreatic cancer from pancreatitis had a specificity of 95.5% and a sensitivity of 93.5%.

CONCLUSION:

SELDI-TOF-MS technique combined with bioinformatics can facilitate to identify biomarkers for pancreatic cancer.

PMID:
22723164
[PubMed - indexed for MEDLINE]
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