An integrated approach utilizing proteomics and bioinformatics to detect ovarian cancer

Abstract

Objective: To find new potential biomarkers and establish the patterns for the detection of ovarian cancer. Methods: Sixty one serum samples including 32 ovarian cancer patients and 29 healthy people were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The protein fingerprint data were analyzed by bioinformatics tools… (More)
DOI: 10.1007/BF02842456

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