Abstract

To find new potential biomarkers for detection of endometrial cancer (EC), 70 serum samples including 40 from EC patients and 30 from normal healthy females were detected by surface-enhanced laser desorption–ionization time-of-flight mass spectrometry (SELDI-TOF-MS) using WCX2 (weak cation exchange) protein chip. Mass spectra were then assessed with three powerful data-mining tools: a tree classifier, Biomarker Wizard software, and Biomarker Patterns System. The diagnostic pattern combined with 13 potential biomarkers could differentiate EC patients from healthy persons, with a specificity of 100%, sensitivity of 92.5%, and total coincidence of 95.7%. The combination of surface-enhanced laser desorption–ionization with bioinformatics tools could help find new biomarkers and establish with high sensitivity and specificity for the detection of EC.