Multiplex analysis of ovarian cancer patients using glycan microarray

Investigation of tumor-associated glycan antigens (TAGs) could be helpful for the development of sensitive cancer diagnostics and novel therapies. Glycan microarrays are effective methods for analyzing glycans and anti-glycan antibodies, which are immobilized arrays of oligo- or poly-saccharides on different substrates, making them a promising class of oncological biomarkers. Blood serum samples from patients (n = 203) with ovarian cancer (OvaCan) and healthy volunteers were analyzed using a glycan microarray containing 63 immobilized glycans to determine changes in anti-glycan IgG and IgM antibody profiles in OvaCan. Levels of anti-glycan IgG and IgM antibodies in OvaCan statistically differed from levels in healthy donors: the most prominent statistically significant difference for anti-glycan IgG antibodies was found for 6-O-su-Lec (AUC = 0.657, Se = 48.0 %, and Sp = 73.3 %). The AUC values for certain glycans investigated in diagnosing OvaCan indicated a fingerprint consisting of IgM antibodies to specific glycans, and the most specific anti-glycan IgM antibodies were Ley (AUC = 0.625, Se = 98.0 % and Sp = 45.0 %). The potential of these serological biomarkers to distinguish between OvaCan and other malignancies is still an unresolved issue that requires more large-scale studies to confirm and validate the use of these biomarkers in the diagnosis of different types of cancer. © 2025

Authors
Pokrovsky V.S. , Qoura L.A. , Tikhonov A.A. , Rubina A.Y. , Kushlinskii N.E.
Publisher
Academic Press Inc.
Language
English
Status
Published
Number
115806
Volume
701
Year
2025
Organizations
  • 1 N.N. Blokhin National Medical Research Center of Oncology of Ministry of Health of Russian Federation, Moscow, 115478, Russian Federation
  • 2 Research Institute of Molecular and Cellular Medicine, People's Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
  • 3 Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow, 119991, Russian Federation
Keywords
Anti-Glycan antibody; Biomarkers; Glycan array; Microarray; tumor‐associated glycans
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