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Updated: Jun 7, 2025
Chemically-blocked Antibody Microarray for Multiplexed High-throughput Profiling of Specific Protein Glycosylation in Complex Samples
Published on: May 4, 2012
Glycomic profiling of parathyroid neoplasms via lectin microarray analysis
Qingyuan Zheng1, Ming Cui1, Jinheng Xiao1
1Department of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Purpose:
Parathyroid carcinoma (PC) is a rare malignancy with a poor prognosis. Diagnosis of PC is often difficult in clinical practice and efficient diagnostic markers are still needed for differential diagnosis. Aberrant glycosylations of glycoproteins were identified with lectin microarray in various cancers, while relevant information is lacking in PC.
Methods:
In this study, 8 PC and 6 parathyroid adenoma (PA) tissues were assessed using a microarray consisting of 70 lectins. Overall lectin-specific glycosylation patterns were compared between PA and PC tissues. Lectins with significant differential response between PC and PA were further validated by lectin histochemistry.
Results:
The difference in signal intensities was found in 71.4% (50/70) of the lectins between the two groups (P < 0.05). The vast majority of PCs had higher intensity signals than PAs (PCs vs. PAs, ratio >1) and amaranthus caudatus (ACL) showed the most significantly different response between them (ratio = 2.45). Lectin histochemistry further confirmed higher ACL intensity in PCs than in PAs. The differentially expressed glycans in PC tissues were primarily glucose, mannose, and galactose-based.
Conclusion:
PC presented unique glycomic features and ACL may serve as a candidate diagnostic marker for PC.
