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Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers
The diagnosis of follicular thyroid carcinoma (FTC) prior surgical resection remains a challenge, as routine screening methods, such as ultrasound or even FNAB, could not diagnose FTC preoperatively. Here, we performed an integrative analysis of DNA methylation and RNA array data from our own cohort...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964406/ https://www.ncbi.nlm.nih.gov/pubmed/35370931 http://dx.doi.org/10.3389/fendo.2021.736068 |
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author | Yao, Yunjin Xu, Peiwei Ying, Tianxing Wang, Yue Wang, Xumeng Shu, Liqi Mo, Zhe Chen, Zhijian Wang, Xiaofeng Wang, Weibin Teng, Lisong Lou, Xiaoming |
author_facet | Yao, Yunjin Xu, Peiwei Ying, Tianxing Wang, Yue Wang, Xumeng Shu, Liqi Mo, Zhe Chen, Zhijian Wang, Xiaofeng Wang, Weibin Teng, Lisong Lou, Xiaoming |
author_sort | Yao, Yunjin |
collection | PubMed |
description | The diagnosis of follicular thyroid carcinoma (FTC) prior surgical resection remains a challenge, as routine screening methods, such as ultrasound or even FNAB, could not diagnose FTC preoperatively. Here, we performed an integrative analysis of DNA methylation and RNA array data from our own cohort (14 Follicular thyroid carcinoma vs 16 Benign thyroid lesion) to identify thyroid cancer-specific DNA methylation markers. We first identified differentially methylated and expressed genes and examined their correlations. Candidate DNA methylation sites were selected and further verified in validation set. Among all candidate methylation sites, cg06928209 was the most promising site as a molecular marker for early diagnosis, with a sensitivity of 90%, a specificity of 80% and an AUC of 0.77. Overall, our study demonstrates the potential use of methylation markers in FTC diagnosis and may boost the development of new epigenetic therapies. |
format | Online Article Text |
id | pubmed-8964406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89644062022-03-31 Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers Yao, Yunjin Xu, Peiwei Ying, Tianxing Wang, Yue Wang, Xumeng Shu, Liqi Mo, Zhe Chen, Zhijian Wang, Xiaofeng Wang, Weibin Teng, Lisong Lou, Xiaoming Front Endocrinol (Lausanne) Endocrinology The diagnosis of follicular thyroid carcinoma (FTC) prior surgical resection remains a challenge, as routine screening methods, such as ultrasound or even FNAB, could not diagnose FTC preoperatively. Here, we performed an integrative analysis of DNA methylation and RNA array data from our own cohort (14 Follicular thyroid carcinoma vs 16 Benign thyroid lesion) to identify thyroid cancer-specific DNA methylation markers. We first identified differentially methylated and expressed genes and examined their correlations. Candidate DNA methylation sites were selected and further verified in validation set. Among all candidate methylation sites, cg06928209 was the most promising site as a molecular marker for early diagnosis, with a sensitivity of 90%, a specificity of 80% and an AUC of 0.77. Overall, our study demonstrates the potential use of methylation markers in FTC diagnosis and may boost the development of new epigenetic therapies. Frontiers Media S.A. 2022-03-14 /pmc/articles/PMC8964406/ /pubmed/35370931 http://dx.doi.org/10.3389/fendo.2021.736068 Text en Copyright © 2022 Yao, Xu, Ying, Wang, Wang, Shu, Mo, Chen, Wang, Wang, Teng and Lou 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 Yao, Yunjin Xu, Peiwei Ying, Tianxing Wang, Yue Wang, Xumeng Shu, Liqi Mo, Zhe Chen, Zhijian Wang, Xiaofeng Wang, Weibin Teng, Lisong Lou, Xiaoming Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers |
title | Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers |
title_full | Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers |
title_fullStr | Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers |
title_full_unstemmed | Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers |
title_short | Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers |
title_sort | integrative analysis of dna methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964406/ https://www.ncbi.nlm.nih.gov/pubmed/35370931 http://dx.doi.org/10.3389/fendo.2021.736068 |
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