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Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis

Non-invasive biomarkers for the diagnosis and prognosis of papillary thyroid microcarcinoma (PTMC) are still urgently needed. We aimed to characterize the N-glycome of PTMC, and establish nomograms for the diagnosis of PTMC and the prediction of lymph node metastasis (LNM). N-glycome of PTMC (LNM vs...

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Autores principales: Zhang, Zejian, Cao, Zhen, Liu, Rui, Li, Zepeng, Wu, Jianqiang, Liu, Xiaoli, Wu, Mengwei, Xu, Xiequn, Liu, Ziwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497917/
https://www.ncbi.nlm.nih.gov/pubmed/36135043
http://dx.doi.org/10.3390/curroncol29090474
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author Zhang, Zejian
Cao, Zhen
Liu, Rui
Li, Zepeng
Wu, Jianqiang
Liu, Xiaoli
Wu, Mengwei
Xu, Xiequn
Liu, Ziwen
author_facet Zhang, Zejian
Cao, Zhen
Liu, Rui
Li, Zepeng
Wu, Jianqiang
Liu, Xiaoli
Wu, Mengwei
Xu, Xiequn
Liu, Ziwen
author_sort Zhang, Zejian
collection PubMed
description Non-invasive biomarkers for the diagnosis and prognosis of papillary thyroid microcarcinoma (PTMC) are still urgently needed. We aimed to characterize the N-glycome of PTMC, and establish nomograms for the diagnosis of PTMC and the prediction of lymph node metastasis (LNM). N-glycome of PTMC (LNM vs. non-LNM, capsular invasion (CI) vs. non-CI (NCI)) and matched healthy controls (HC) were quantitatively analyzed based on mass spectrometry. N-glycan traits associated with PTMC/LNM were used to create binomial logistic regression models and were visualized as nomograms. We found serum N-glycome differed between PTMC and HC in high-mannose, complexity, fucosylation, and bisection, of which, four N-glycan traits (TM, CA1, CA4, and A2Fa) were significantly associated with PTMC. The nomogram based on four traits achieved good performance for the identification of PTMC. Two N-glycan traits (CA4 and A2F0S0G) showed strong associations with LNM. The nomogram based on two traits showed relatively good performance in predicting LNM. We also found differences between CI and NCI in several N-glycan traits, which were not the same as that associated with LNM. This study reported serum N-glycosylation signatures of PTMC for the first time. Nomograms constructed from aberrant glycans could be useful tools for PTMC diagnosis and stratification.
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spelling pubmed-94979172022-09-23 Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis Zhang, Zejian Cao, Zhen Liu, Rui Li, Zepeng Wu, Jianqiang Liu, Xiaoli Wu, Mengwei Xu, Xiequn Liu, Ziwen Curr Oncol Article Non-invasive biomarkers for the diagnosis and prognosis of papillary thyroid microcarcinoma (PTMC) are still urgently needed. We aimed to characterize the N-glycome of PTMC, and establish nomograms for the diagnosis of PTMC and the prediction of lymph node metastasis (LNM). N-glycome of PTMC (LNM vs. non-LNM, capsular invasion (CI) vs. non-CI (NCI)) and matched healthy controls (HC) were quantitatively analyzed based on mass spectrometry. N-glycan traits associated with PTMC/LNM were used to create binomial logistic regression models and were visualized as nomograms. We found serum N-glycome differed between PTMC and HC in high-mannose, complexity, fucosylation, and bisection, of which, four N-glycan traits (TM, CA1, CA4, and A2Fa) were significantly associated with PTMC. The nomogram based on four traits achieved good performance for the identification of PTMC. Two N-glycan traits (CA4 and A2F0S0G) showed strong associations with LNM. The nomogram based on two traits showed relatively good performance in predicting LNM. We also found differences between CI and NCI in several N-glycan traits, which were not the same as that associated with LNM. This study reported serum N-glycosylation signatures of PTMC for the first time. Nomograms constructed from aberrant glycans could be useful tools for PTMC diagnosis and stratification. MDPI 2022-08-23 /pmc/articles/PMC9497917/ /pubmed/36135043 http://dx.doi.org/10.3390/curroncol29090474 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Zejian
Cao, Zhen
Liu, Rui
Li, Zepeng
Wu, Jianqiang
Liu, Xiaoli
Wu, Mengwei
Xu, Xiequn
Liu, Ziwen
Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis
title Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis
title_full Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis
title_fullStr Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis
title_full_unstemmed Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis
title_short Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis
title_sort nomograms based on serum n-glycome for diagnosis of papillary thyroid microcarcinoma and prediction of lymph node metastasis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497917/
https://www.ncbi.nlm.nih.gov/pubmed/36135043
http://dx.doi.org/10.3390/curroncol29090474
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