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MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer

SIMPLE SUMMARY: Thyroid nodules are frequently detected, but the majority of these nodules are benign. Molecular markers have become useful for diagnosing the minority of thyroid cancer. We performed high-throughput small RNA sequencing in a discovery cohort and identified three miRNAs (miR-136, miR...

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Autores principales: Park, Jong-Lyul, Kim, Seon-Kyu, Jeon, Sora, Jung, Chan-Kwon, Kim, Yong-Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916038/
https://www.ncbi.nlm.nih.gov/pubmed/33562573
http://dx.doi.org/10.3390/cancers13040632
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author Park, Jong-Lyul
Kim, Seon-Kyu
Jeon, Sora
Jung, Chan-Kwon
Kim, Yong-Sung
author_facet Park, Jong-Lyul
Kim, Seon-Kyu
Jeon, Sora
Jung, Chan-Kwon
Kim, Yong-Sung
author_sort Park, Jong-Lyul
collection PubMed
description SIMPLE SUMMARY: Thyroid nodules are frequently detected, but the majority of these nodules are benign. Molecular markers have become useful for diagnosing the minority of thyroid cancer. We performed high-throughput small RNA sequencing in a discovery cohort and identified three miRNAs (miR-136, miR-21, and miR-127) as potential biomarkers for thyroid cancer. We validated the diagnostic and prognostic utilities of three miRNAs in patients with thyroid cancer in an independent cohort. High expression of the three miRNAs could be used to differentiate thyroid cancers from benign tumors and tumors with extremely low malignant potential. In patients with thyroid cancers, a high expression of three miRNAs was associated with poor clinicopathological features and recurrent or persistent disease following surgery. Therefore, testing for high expression levels of these three miRNAs in thyroid nodules may be useful for diagnosing and assessing the recurrence of the thyroid cancer’s risk stratification. ABSTRACT: The challenge in managing thyroid nodules is to accurately diagnose the minority of those with malignancy. We aimed to identify diagnostic and prognostic miRNA markers for thyroid nodules. In a discovery cohort, we identified 20 candidate miRNAs to differentiate between noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) and papillary thyroid carcinomas (PTC) by using the high-throughput small RNA sequencing method. We then selected three miRNAs (miR-136, miR-21, and miR-127) that were differentially expressed between the PTC follicular variant and other variants in The Cancer Genome Atlas data. High expression of three miRNAs differentiated thyroid cancer from nonmalignant tumors, with an area under curve (AUC) of 0.76–0.81 in an independent cohort. In patients with differentiated thyroid cancer, the high-level expression of the three miRNAs was an independent indicator for both distant metastases and recurrent or persistent disease. In patients with PTC, a high expression of miRNAs was associated with an aggressive histologic variant, extrathyroidal extension, distant metastasis, or recurrent or persistent disease. Three miRNAs may be used as diagnostic markers for differentiating thyroid cancers from benign tumors and tumors with extremely low malignant potential (NIFTP), as well as prognostic markers for predicting the risk of recurrent/persistent disease for differentiated thyroid cancer.
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spelling pubmed-79160382021-03-01 MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer Park, Jong-Lyul Kim, Seon-Kyu Jeon, Sora Jung, Chan-Kwon Kim, Yong-Sung Cancers (Basel) Article SIMPLE SUMMARY: Thyroid nodules are frequently detected, but the majority of these nodules are benign. Molecular markers have become useful for diagnosing the minority of thyroid cancer. We performed high-throughput small RNA sequencing in a discovery cohort and identified three miRNAs (miR-136, miR-21, and miR-127) as potential biomarkers for thyroid cancer. We validated the diagnostic and prognostic utilities of three miRNAs in patients with thyroid cancer in an independent cohort. High expression of the three miRNAs could be used to differentiate thyroid cancers from benign tumors and tumors with extremely low malignant potential. In patients with thyroid cancers, a high expression of three miRNAs was associated with poor clinicopathological features and recurrent or persistent disease following surgery. Therefore, testing for high expression levels of these three miRNAs in thyroid nodules may be useful for diagnosing and assessing the recurrence of the thyroid cancer’s risk stratification. ABSTRACT: The challenge in managing thyroid nodules is to accurately diagnose the minority of those with malignancy. We aimed to identify diagnostic and prognostic miRNA markers for thyroid nodules. In a discovery cohort, we identified 20 candidate miRNAs to differentiate between noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) and papillary thyroid carcinomas (PTC) by using the high-throughput small RNA sequencing method. We then selected three miRNAs (miR-136, miR-21, and miR-127) that were differentially expressed between the PTC follicular variant and other variants in The Cancer Genome Atlas data. High expression of three miRNAs differentiated thyroid cancer from nonmalignant tumors, with an area under curve (AUC) of 0.76–0.81 in an independent cohort. In patients with differentiated thyroid cancer, the high-level expression of the three miRNAs was an independent indicator for both distant metastases and recurrent or persistent disease. In patients with PTC, a high expression of miRNAs was associated with an aggressive histologic variant, extrathyroidal extension, distant metastasis, or recurrent or persistent disease. Three miRNAs may be used as diagnostic markers for differentiating thyroid cancers from benign tumors and tumors with extremely low malignant potential (NIFTP), as well as prognostic markers for predicting the risk of recurrent/persistent disease for differentiated thyroid cancer. MDPI 2021-02-05 /pmc/articles/PMC7916038/ /pubmed/33562573 http://dx.doi.org/10.3390/cancers13040632 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Jong-Lyul
Kim, Seon-Kyu
Jeon, Sora
Jung, Chan-Kwon
Kim, Yong-Sung
MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
title MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
title_full MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
title_fullStr MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
title_full_unstemmed MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
title_short MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
title_sort microrna profile for diagnostic and prognostic biomarkers in thyroid cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916038/
https://www.ncbi.nlm.nih.gov/pubmed/33562573
http://dx.doi.org/10.3390/cancers13040632
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