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July 12, 2026Electrophoresis

Glycosylation Signatures of Thyroglobulin in Papillary Thyroid Carcinoma

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Authors

AHAli HayatuKarabük UniversityEAEsra Nur AkyıldızKarabük UniversityBKBetül KarabudakKarabük University

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Implication

Randomized trial investigates glycosylation changes for better diagnostics in thyroid cancer, indicating potential for improved management.

Key Points

  • This research aims to identify N-glycosylation changes in thyroglobulin associated with papillary thyroid carcinoma to enhance diagnostic specificity.
  • Used bottom-up mass spectrometry to analyze glycosylation profiles in tissue samples from thyroid cancer patients and healthy tissues.
  • Identified nine distinct N-glycosylation sites and performed statistical analysis on glycan compositions at these sites.
  • Employed machine learning models, achieving AUC of 0.83 with a neural network for diagnostic performance.
  • Nine unique N-glycosylation sites were quantified, with significant differences noted in tumor versus normal tissues.
  • The glycan compositions at Asn1365 showed strong discriminatory potential, aiding in diagnostic accuracy.
  • Feature analysis revealed Asn1365-HexNAc(3)Hex(6) as the major contributor to the predictive model's effectiveness.

Cite This Study

Hayatu et al. (2026) studied this question.

synapsesocial.com/papers/6a532fb44f7abc118aded1cdhttps://doi.org/10.1002/elps.70130
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