Evidence map›Paper›PMID 39565545›Full record

ArticleEndocrine2025

Glycomic profiling of parathyroid neoplasms via lectin microarray analysis.

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

Abstract read
In one paragraph

Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qingyuan Zheng *Department 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.
Ming Cui *Department 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.
Jinheng XiaoDepartment 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.
Sen YangDepartment 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.
Tianqi ChenBiomedical Engineering Facility of National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanan ShiBiomedical Engineering Facility of National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ya HuDepartment 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. huyafrank@sohu.com.
Quan LiaoDepartment 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. lqpumc@126.com.

Funding

the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences 2021⁃I2M⁃1⁃002 2021⁃I2M⁃1⁃002the National Central High-level Hospitals Clinical Research Funding 2022-PUMCH-B-003
6 · The paper itself

Abstract

purposeParathyroid 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.

methodsIn 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.

resultsThe 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.

conclusionPC presented unique glycomic features and ACL may serve as a candidate diagnostic marker for PC.

Indexed as

AdenomaCarcinomaGlycomicsLectinsParathyroid NeoplasmsAdultAgedFemaleGlycosylationHumansMaleMicroarray AnalysisMiddle AgedProtein Array AnalysisLectinsBiomarkerGlycosylationLectin microarrayParathyroid carcinomaParathyroid tumor

Identifiers

PMID39565545
PMCPMC11845408

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