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High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules

To explore the novel diagnostic value of epigenetic imprinting biomarkers in thyroid nodules. PATIENTS AND METHODS: A total of 550 patients with fine-needle aspiration (FNA)–evaluated and histopathologically confirmed thyroid nodules were consecutively recruited from eight medical centers. Quantitat...

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Autores principales: Xu, Huixiong, Zhang, Yifeng, Wu, Hongxun, Zhou, Ning, Li, Xing, Pineda, John P., Zhu, Yun, Fu, Huijun, Ying, Ming, Yang, Shufang, Bao, Jiandong, Yang, Lulu, Zhang, Bingjie, Guo, Lehang, Sun, Liping, Lu, Feng, Wang, Hanxiang, Huang, Ying, Zhu, Tiantong, Wang, Xiaonan, Wei, Qing, Sheng, Chunjun, Qu, Shen, Lv, Zhongwei, Xu, Dong, Li, Qian, Dong, Yongling, Qin, Jianwu, Cheng, Tong, Xing, Mingzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937101/
https://www.ncbi.nlm.nih.gov/pubmed/36378996
http://dx.doi.org/10.1200/JCO.22.00232
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author Xu, Huixiong
Zhang, Yifeng
Wu, Hongxun
Zhou, Ning
Li, Xing
Pineda, John P.
Zhu, Yun
Fu, Huijun
Ying, Ming
Yang, Shufang
Bao, Jiandong
Yang, Lulu
Zhang, Bingjie
Guo, Lehang
Sun, Liping
Lu, Feng
Wang, Hanxiang
Huang, Ying
Zhu, Tiantong
Wang, Xiaonan
Wei, Qing
Sheng, Chunjun
Qu, Shen
Lv, Zhongwei
Xu, Dong
Li, Qian
Dong, Yongling
Qin, Jianwu
Cheng, Tong
Xing, Mingzhao
author_facet Xu, Huixiong
Zhang, Yifeng
Wu, Hongxun
Zhou, Ning
Li, Xing
Pineda, John P.
Zhu, Yun
Fu, Huijun
Ying, Ming
Yang, Shufang
Bao, Jiandong
Yang, Lulu
Zhang, Bingjie
Guo, Lehang
Sun, Liping
Lu, Feng
Wang, Hanxiang
Huang, Ying
Zhu, Tiantong
Wang, Xiaonan
Wei, Qing
Sheng, Chunjun
Qu, Shen
Lv, Zhongwei
Xu, Dong
Li, Qian
Dong, Yongling
Qin, Jianwu
Cheng, Tong
Xing, Mingzhao
author_sort Xu, Huixiong
collection PubMed
description To explore the novel diagnostic value of epigenetic imprinting biomarkers in thyroid nodules. PATIENTS AND METHODS: A total of 550 patients with fine-needle aspiration (FNA)–evaluated and histopathologically confirmed thyroid nodules were consecutively recruited from eight medical centers. Quantitative chromogenic imprinted gene in situ hybridization (QCIGISH) was used to assess the allelic expression of imprinted genes SNRPN and HM13, on the basis of which a diagnostic grading model for thyroid nodules was developed. The model was retrospectively trained on 124 postsurgical thyroid samples, optimized on 32 presurgical FNA samples, and prospectively validated on 394 presurgical FNA samples. Blinded central review–based cytopathologic and histopathologic diagnoses were used as the reference standard. RESULTS: For thyroid malignancy, the QCIGISH test achieved an overall diagnostic sensitivity of 100% (277/277), a specificity of 91.5% (107/117; 95% CI, 86.4 to 96.5), a positive predictive value (PPV) of 96.5% (95% CI, 94.4 to 98.6), and a negative predictive value (NPV) of 100% in the prospective validation, with a diagnostic accuracy of 97.5% (384/394; 95% CI, 95.9 to 99.0). QCIGISH demonstrated a PPV of 97.8% (95% CI, 94.7 to 100) and NPV of 100%, with a diagnostic accuracy of 98.2% (111/113; 95% CI, 95.8 to 100), for indeterminate Bethesda III-V thyroid nodules. QCIGISH demonstrated a PPV of 96.6% (95% CI, 91.9 to 100) and a NPV of 100%, with a diagnostic accuracy of 97.5% (79/81; 95% CI, 94.2 to 100), for Bethesda III-IV. For Bethesda VI, QCIGISH showed a 100% (184/184) accuracy. CONCLUSION: This imprinting biomarker-based test can effectively distinguish malignant from benign thyroid nodules. The high PPV and NPV make the test both an excellent rule-in and rule-out diagnostic tool. With such a diagnostic performance and its technical simplicity, this novel thyroid molecular test is clinically widely applicable.
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spelling pubmed-99371012023-02-18 High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules Xu, Huixiong Zhang, Yifeng Wu, Hongxun Zhou, Ning Li, Xing Pineda, John P. Zhu, Yun Fu, Huijun Ying, Ming Yang, Shufang Bao, Jiandong Yang, Lulu Zhang, Bingjie Guo, Lehang Sun, Liping Lu, Feng Wang, Hanxiang Huang, Ying Zhu, Tiantong Wang, Xiaonan Wei, Qing Sheng, Chunjun Qu, Shen Lv, Zhongwei Xu, Dong Li, Qian Dong, Yongling Qin, Jianwu Cheng, Tong Xing, Mingzhao J Clin Oncol ORIGINAL REPORTS To explore the novel diagnostic value of epigenetic imprinting biomarkers in thyroid nodules. PATIENTS AND METHODS: A total of 550 patients with fine-needle aspiration (FNA)–evaluated and histopathologically confirmed thyroid nodules were consecutively recruited from eight medical centers. Quantitative chromogenic imprinted gene in situ hybridization (QCIGISH) was used to assess the allelic expression of imprinted genes SNRPN and HM13, on the basis of which a diagnostic grading model for thyroid nodules was developed. The model was retrospectively trained on 124 postsurgical thyroid samples, optimized on 32 presurgical FNA samples, and prospectively validated on 394 presurgical FNA samples. Blinded central review–based cytopathologic and histopathologic diagnoses were used as the reference standard. RESULTS: For thyroid malignancy, the QCIGISH test achieved an overall diagnostic sensitivity of 100% (277/277), a specificity of 91.5% (107/117; 95% CI, 86.4 to 96.5), a positive predictive value (PPV) of 96.5% (95% CI, 94.4 to 98.6), and a negative predictive value (NPV) of 100% in the prospective validation, with a diagnostic accuracy of 97.5% (384/394; 95% CI, 95.9 to 99.0). QCIGISH demonstrated a PPV of 97.8% (95% CI, 94.7 to 100) and NPV of 100%, with a diagnostic accuracy of 98.2% (111/113; 95% CI, 95.8 to 100), for indeterminate Bethesda III-V thyroid nodules. QCIGISH demonstrated a PPV of 96.6% (95% CI, 91.9 to 100) and a NPV of 100%, with a diagnostic accuracy of 97.5% (79/81; 95% CI, 94.2 to 100), for Bethesda III-IV. For Bethesda VI, QCIGISH showed a 100% (184/184) accuracy. CONCLUSION: This imprinting biomarker-based test can effectively distinguish malignant from benign thyroid nodules. The high PPV and NPV make the test both an excellent rule-in and rule-out diagnostic tool. With such a diagnostic performance and its technical simplicity, this novel thyroid molecular test is clinically widely applicable. Wolters Kluwer Health 2023-02-20 2022-11-15 /pmc/articles/PMC9937101/ /pubmed/36378996 http://dx.doi.org/10.1200/JCO.22.00232 Text en © 2022 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle ORIGINAL REPORTS
Xu, Huixiong
Zhang, Yifeng
Wu, Hongxun
Zhou, Ning
Li, Xing
Pineda, John P.
Zhu, Yun
Fu, Huijun
Ying, Ming
Yang, Shufang
Bao, Jiandong
Yang, Lulu
Zhang, Bingjie
Guo, Lehang
Sun, Liping
Lu, Feng
Wang, Hanxiang
Huang, Ying
Zhu, Tiantong
Wang, Xiaonan
Wei, Qing
Sheng, Chunjun
Qu, Shen
Lv, Zhongwei
Xu, Dong
Li, Qian
Dong, Yongling
Qin, Jianwu
Cheng, Tong
Xing, Mingzhao
High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules
title High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules
title_full High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules
title_fullStr High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules
title_full_unstemmed High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules
title_short High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules
title_sort high diagnostic accuracy of epigenetic imprinting biomarkers in thyroid nodules
topic ORIGINAL REPORTS
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937101/
https://www.ncbi.nlm.nih.gov/pubmed/36378996
http://dx.doi.org/10.1200/JCO.22.00232
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