Noninvasive serum N-glycans associated with ovarian cancer diagnosis and precancerous lesion prediction

Autor: Si Liu, Chang Tu, Haobo Zhang, Hanhui Huang, Yuanyuan Liu, Yi Wang, Liming Cheng, Bi-Feng Liu, Kang Ning, Xin Liu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-14 (2024)
Druh dokumentu: article
ISSN: 1757-2215
DOI: 10.1186/s13048-024-01350-2
Popis: Abstract Background Ovarian cancer (OC) is one of the most common gynecological tumors with high morbidity and mortality. Altered serum N-glycome has been observed in many diseases, while the association between serum protein N-glycosylation and OC progression remains unclear, particularly for the onset of carcinogenesis from benign neoplasms to cancer. Methods Herein, a mass spectrometry based high-throughput technique was applied to characterize serum N-glycome profile in individuals with healthy controls, benign neoplasms and different stages of OC. To elucidate the alterations of glycan features in OC progression, an orthogonal strategy with lectin-based ELISA was performed. Results It was observed that the initiation and development of OC was associated with increased high-mannosylationand agalactosylation, concurrently with decreased total sialylation of serum, each of which gained at least moderately accurate merits. The most important individual N-glycans in each glycan group was H7N2, H3N5 and H5N4S2F1, respectively. Notably, serum N-glycome could be used to accurately discriminate OC patients from benign cohorts, with a comparable or even higher diagnostic score compared to CA125 and HE4. Furthermore, bioinformatics analysis based discriminative model verified the diagnostic performance of serum N-glycome for OC in two independent sets. Conclusions These findings demonstrated the great potential of serum N-glycome for OC diagnosis and precancerous lesion prediction, paving a new way for OC screening and monitoring.
Databáze: Directory of Open Access Journals
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