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DOI 10.1007/s12020-024-04107-5

Медицинская библиотека · Endocrine · 2024

Glycomic profiling of parathyroid neoplasms via lectin microarray analysis.

Zheng Qingyuan, Cui Ming, Xiao Jinheng, Yang Sen, Chen Tianqi, Shi Yanan, Hu Ya, Liao Quan

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Аннотация

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.

Для цитирования: Zheng Qingyuan, Cui Ming, Xiao Jinheng, Yang Sen, Chen Tianqi, Shi Yanan, Hu Ya, Liao Quan. Glycomic profiling of parathyroid neoplasms via lectin microarray analysis.. Endocrine. 2024. DOI: 10.1007/s12020-024-04107-5.

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