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Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA): A Potential New Tool for Early Detection of Ovarian Cancer

1
Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan
2
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA 90033, USA
3
Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
4
Medical Solution Promotion Department, LSI Medience Corporation, Tokyo 1748555, Japan
5
Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Kanagawa 2591193, Japan
6
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA 90027, USA
*
Author to whom correspondence should be addressed.
Cancers 2019, 11(5), 591; https://doi.org/10.3390/cancers11050591
Received: 22 March 2019 / Revised: 13 April 2019 / Accepted: 25 April 2019 / Published: 27 April 2019
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Abstract

Objectives: To conduct a comprehensive glycopeptide spectra analysis of serum between cancer and non-cancer patients to identify early biomarkers of epithelial ovarian cancer (EOC). Methods: Approximately 30,000 glycopeptide peaks were detected from the digested serum glycoproteins of 39 EOC patients (23 early-stage, 16 advanced-stage) and 45 non-cancer patients (27 leiomyoma and ovarian cyst cases, 18 endometrioma cases) by liquid chromatography mass spectrometry (LC–MS). The differential glycopeptide peak spectra were analyzed to distinguish between cancer and non-cancer groups by employing multivariate analysis including principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and heat maps. Results: Examined spectral peaks were filtered down to 2281 serum quantitative glycopeptide signatures for differentiation between ovarian cancer and controls using multivariate analysis. The OPLS-DA model using cross-validation parameters R2 and Q2 and score plots of the serum samples significantly differentiated the EOC group from the non-cancer control group. In addition, women with early-stage clear cell carcinoma and endometriomas were clearly distinguished from each other by OPLS-DA as well as by PCA and heat maps. Conclusions: Our study demonstrates the potential of comprehensive serum glycoprotein analysis as a useful tool for ovarian cancer detection. View Full-Text
Keywords: comprehensive serum glycopeptide spectra analysis; orthogonal partial square discrimination analysis; epithelial ovarian cancer; ovarian clear cell carcinoma; endometrioma comprehensive serum glycopeptide spectra analysis; orthogonal partial square discrimination analysis; epithelial ovarian cancer; ovarian clear cell carcinoma; endometrioma
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Hayashi, M.; Matsuo, K.; Tanabe, K.; Ikeda, M.; Miyazawa, M.; Yasaka, M.; Machida, H.; Shida, M.; Imanishi, T.; Grubbs, B.H.; Hirasawa, T.; Mikami, M. Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA): A Potential New Tool for Early Detection of Ovarian Cancer. Cancers 2019, 11, 591.

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