A1 Refereed original research article in a scientific journal
Diagnostic potential of nanoparticle aided assays for MUC16 and MUC1 glycovariants in ovarian cancer
Authors: Jain Shruti, Nadeem Nimrah, Ulfenborg Benjamin, Mäkelä Maria, Ruma Shamima Afrin, Terävä Joonas, Huhtinen Kaisa, Leivo Janne, Kristjansdottir Björg, Pettersson Kim, Sundfeldt Karin, Gidwani Kamlesh
Publisher: WILEY
Publication year: 2022
Journal: International Journal of Cancer
Journal name in source: INTERNATIONAL JOURNAL OF CANCER
Journal acronym: INT J CANCER
Number of pages: 10
ISSN: 0020-7136
eISSN: 1097-0215
DOI: https://doi.org/10.1002/ijc.34111
Web address : https://onlinelibrary.wiley.com/doi/10.1002/ijc.34111
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/175636707
Our study reports the discovery and evaluation of nanoparticle aided sensitive assays for glycovariants of MUC16 and MUC1 in a unique collection of paired ovarian cyst fluids and serum samples obtained at or prior to surgery for ovarian carcinoma suspicion. Selected glycovariants and the immunoassays for CA125, CA15-3 and HE4 were compared and validated in 347 cyst fluid and serum samples. Whereas CA125 and CA15-3 performed poorly in cyst fluid to separate carcinoma and controls, four glycovariants including MUC16(MGL), MUC16(STn), MUC1(STn) and MUC1(Tn) provided highly improved separations. In serum, the two STn glycovariants outperformed conventional CA125, CA15-3 and HE4 assays in all subcategories analyzed with main benefits obtained at high specificities and at postmenopausal and early-stage disease. Serum MUC16(STn) performed best at high specificity (90%-99%), but sensitivity was also improved by the other glycovariants and CA15-3. The highly improved specificity, excellent analytical sensitivity and robustness of the nanoparticle assisted glycovariant assays carry great promise for improved identification and early detection of ovarian carcinoma in routine differential diagnostics.
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