Mass Spectrometric Screening of Ovarian Cancer with Serum Glycans. (4th February 2014)

• Record Type: Journal Article
• Authors: Kim, Jae-Han; Park, Chang Won; Um, Dalho; Baek, Ki Hwang; Jo, Yohahn; An, Hyunjoo; Kim, Yangsun; Kim, Tae Jin
• Other Names: Pan Sheng Academic Editor.
• Is Part Of: Disease markers. Volume 2014(2014)
• Publication Date: 2014-02-04
• Subjects: Diagnosis -- Periodicals; Biochemical markers -- Periodicals; Pathology -- Periodicals; 616
• DOI: 10.1155/2014/634289
• Languages: English
• ISSNs: 0278-0240

Abstract

Abstract : Changes of glycosylation pattern in serum proteins have been linked to various diseases including cancer, suggesting possible development of novel biomarkers based on the glycomic analysis. In this study, N-linked glycans from human serum were quantitatively profiled by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) and compared between healthy controls and ovarian cancer patients. A training set consisting of 40 healthy controls and 40 ovarian cancer cases demonstrated an inverse correlation between P value of ANOVA and area under the curve (AUC) of each candidate biomarker peak from MALDI-TOF MS, providing standards for the classification. A multibiomarker panel composed of 15 MALDI-TOF MS peaks resulted in AUC of 0.89, 80~90% sensitivity, and 70~83% specificity in the training set. The performance of the biomarker panel was validated in a separate blind test set composed of 23 healthy controls and 37 ovarian cancer patients, leading to 81~84% sensitivity and 83% specificity with cut-off values determined by the training set. Sensitivity of CA-125, the most widely used ovarian cancer marker, was 74% in the training set and 78% in the test set, respectively. These results indicate that MALDI-TOF MS-mediated serum N-glycan analysis could provide critical information for the screening of ovarian cancer.