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Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene

OBJECTIVE: The purpose of this study was to predict the invasiveness of papillary thyroid microcarcinoma (PTMC) via ultrasonography in combination with the Wnt family member 10A (WNT10A) gene to provide a reference basis for evaluating the invasive capability of PTMC. METHODS: Cancer tissue were col...

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Autores principales: Yan, Zhang, Gang, Liu Wen, Yan, Guo Shi, Zhou, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807605/
https://www.ncbi.nlm.nih.gov/pubmed/36605938
http://dx.doi.org/10.3389/fendo.2022.1026059
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author Yan, Zhang
Gang, Liu Wen
Yan, Guo Shi
Zhou, Ping
author_facet Yan, Zhang
Gang, Liu Wen
Yan, Guo Shi
Zhou, Ping
author_sort Yan, Zhang
collection PubMed
description OBJECTIVE: The purpose of this study was to predict the invasiveness of papillary thyroid microcarcinoma (PTMC) via ultrasonography in combination with the Wnt family member 10A (WNT10A) gene to provide a reference basis for evaluating the invasive capability of PTMC. METHODS: Cancer tissue were collected from 182 patients with unifocal PTMC, and the patients were divided into the invasive group and the non-invasive group based on whether the lesions invaded the thyroid capsules or whether lymph node metastasis occurred. The expression of WNT10A protein was examined. Age, sex, maximum nodule diameter, color Doppler flow imaging (CDFI), nodule echo, microcalcification, aspect ratio, morphology (boundary), nodule location, internal structure, ultrasound-suspected lymph node metastasis (US-LNM), and WNT10A expression were compared between the invasive group and the non-invasive group. Univariate analysis and multivariate logistic regression analysis were performed, and a p value of less than 0.05 indicated that the difference was statistically significant. RESULTS: (1) 36 patients in the non-invasive group showed high expression and 66 patients showed low or no expression, while 54 patients in the invasive group showed high expression and 26 patients showed low or no expression, suggesting that the expression level of WNT10A was higher in the invasive group than in the non-invasive group, with a statistically significant difference between the two groups (P<0.01). (2) Univariate analysis showed that there were statistically significant differences between the invasive PTMC group and the non-invasive group in age, sex, maximum nodule diameter, microcalcification, US-LNM and high WNT10A expression. (3) Multivariate analysis showed that the risk factors for invasiveness in patients with PTMC included age < 45 years, maximum nodule diameter > 7 mm, microcalcification, US-LNM and high WNT10A expression. CONCLUSION: The risk factors for PTMC invasiveness included age < 45 years, maximum nodule diameter >7 mm, microcalcification, US-LNM and high WNT10A expression. A combination of ultrasonography and WNT10A gene analysis could provide a reference basis for evaluating the invasive capability of PTMC.
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spelling pubmed-98076052023-01-04 Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene Yan, Zhang Gang, Liu Wen Yan, Guo Shi Zhou, Ping Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: The purpose of this study was to predict the invasiveness of papillary thyroid microcarcinoma (PTMC) via ultrasonography in combination with the Wnt family member 10A (WNT10A) gene to provide a reference basis for evaluating the invasive capability of PTMC. METHODS: Cancer tissue were collected from 182 patients with unifocal PTMC, and the patients were divided into the invasive group and the non-invasive group based on whether the lesions invaded the thyroid capsules or whether lymph node metastasis occurred. The expression of WNT10A protein was examined. Age, sex, maximum nodule diameter, color Doppler flow imaging (CDFI), nodule echo, microcalcification, aspect ratio, morphology (boundary), nodule location, internal structure, ultrasound-suspected lymph node metastasis (US-LNM), and WNT10A expression were compared between the invasive group and the non-invasive group. Univariate analysis and multivariate logistic regression analysis were performed, and a p value of less than 0.05 indicated that the difference was statistically significant. RESULTS: (1) 36 patients in the non-invasive group showed high expression and 66 patients showed low or no expression, while 54 patients in the invasive group showed high expression and 26 patients showed low or no expression, suggesting that the expression level of WNT10A was higher in the invasive group than in the non-invasive group, with a statistically significant difference between the two groups (P<0.01). (2) Univariate analysis showed that there were statistically significant differences between the invasive PTMC group and the non-invasive group in age, sex, maximum nodule diameter, microcalcification, US-LNM and high WNT10A expression. (3) Multivariate analysis showed that the risk factors for invasiveness in patients with PTMC included age < 45 years, maximum nodule diameter > 7 mm, microcalcification, US-LNM and high WNT10A expression. CONCLUSION: The risk factors for PTMC invasiveness included age < 45 years, maximum nodule diameter >7 mm, microcalcification, US-LNM and high WNT10A expression. A combination of ultrasonography and WNT10A gene analysis could provide a reference basis for evaluating the invasive capability of PTMC. Frontiers Media S.A. 2022-12-20 /pmc/articles/PMC9807605/ /pubmed/36605938 http://dx.doi.org/10.3389/fendo.2022.1026059 Text en Copyright © 2022 Yan, Gang, Yan and Zhou https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Yan, Zhang
Gang, Liu Wen
Yan, Guo Shi
Zhou, Ping
Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene
title Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene
title_full Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene
title_fullStr Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene
title_full_unstemmed Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene
title_short Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene
title_sort prediction of the invasiveness of ptmc by a combination of ultrasound and the wnt10a gene
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807605/
https://www.ncbi.nlm.nih.gov/pubmed/36605938
http://dx.doi.org/10.3389/fendo.2022.1026059
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