Kimawaha P, Thanan R, Jusakul A, Jamnongkan W, Silsirivanit A, Sa-Ngaimwibool P, Titapun A, Khuntikeo N, Sithithaworn P, Worasith C, Janthamala S, Lebrilla CB, Techasen A. Serum α2,6-sialylated glycoform of
serotransferrin as a glycobiomarker for diagnosis and prediction of clinical severity in cholangiocarcinoma.
Clin Chim Acta 2022;
536:142-154. [PMID:
36174722 DOI:
10.1016/j.cca.2022.09.012]
[Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/26/2022] [Accepted: 09/11/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND
Glycoprotein sialylation changes are associated with severe development of various cancers. We previously discovered the sialylation of serotransferrin (TF) in cholangiocarcinoma (CCA) using glycoproteomics approach. However, a simple and reliable method for validating sialylation of a specific glycobiomarker is urgently needed.
METHODS
We identified the altered glycosylation in CCA tissues by glycoproteomics approach using mass spectrometry. An enzyme-linked lectin assay (ELLA) was developed for determining the serum levels of sialylated TF in CCA, hepatocellular carcinoma (HCC) and healthy controls in training and validation cohorts.
RESULTS
The nine highly sialylated glycoforms of TF were markedly abundant in CCA tumor tissues than in control. Serum SNA-TF and MAL1-TF were significantly higher in CCA patients. Under receiver operating characteristic curve, serum SNA-TF concentrations significantly differentiated CCA from healthy control. Higher SNA-TF were significantly correlated with severe tumor stages and lymph node metastasis. The combined SNA-TF, MAL1-TF, and CA19-9 as a novel glycobiomarkers panel demonstrated the highest specificity (96.2%) for distinguishing CCA from HCC patients. In CCA patients with low CA19-9 levels, SNA-TF in combination with CA19-9 achieved in 97% diagnostic accuracy.
CONCLUSIONS
Sialylated serotransferrin glycoforms could be used as a novel glycobiomarker for diagnosis and prediction of clinical severity in CCA patients.
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