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Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples

BACKGROUND: Medullary thyroid carcinoma (MTC) is an aggressive malignancy originating from the parafollicular C cells. Preoperatively, thyroid nodule fine‐needle aspiration cytology (FNAC) and pathogenic gene mutations are definitive in approximately one‐half of cases. MicroRNAs (miRNAs) are endogen...

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Autores principales: Ciarletto, Andrea M., Narick, Christina, Malchoff, Carl D., Massoll, Nicole A., Labourier, Emmanuel, Haugh, Keith, Mireskandari, Alidad, Finkelstein, Sydney D., Kumar, Gyanendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984450/
https://www.ncbi.nlm.nih.gov/pubmed/33017868
http://dx.doi.org/10.1002/cncy.22365
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author Ciarletto, Andrea M.
Narick, Christina
Malchoff, Carl D.
Massoll, Nicole A.
Labourier, Emmanuel
Haugh, Keith
Mireskandari, Alidad
Finkelstein, Sydney D.
Kumar, Gyanendra
author_facet Ciarletto, Andrea M.
Narick, Christina
Malchoff, Carl D.
Massoll, Nicole A.
Labourier, Emmanuel
Haugh, Keith
Mireskandari, Alidad
Finkelstein, Sydney D.
Kumar, Gyanendra
author_sort Ciarletto, Andrea M.
collection PubMed
description BACKGROUND: Medullary thyroid carcinoma (MTC) is an aggressive malignancy originating from the parafollicular C cells. Preoperatively, thyroid nodule fine‐needle aspiration cytology (FNAC) and pathogenic gene mutations are definitive in approximately one‐half of cases. MicroRNAs (miRNAs) are endogenous, noncoding, single‐stranded RNAs that regulate gene expression, a characteristic that confers the potential for identifying malignancy. In the current study, the authors hypothesized that differential pairwise (diff‐pair) analysis of miRNA expression levels would reliably identify MTC in FNA samples. METHODS: The relative abundance of 10 different miRNAs in total nucleic acids was obtained from ThyraMIR test results. Diff‐pair analysis was performed by subtracting the critical threshold value of one miRNA from the critical threshold values of other miRNAs. Next‐generation sequencing with the ThyGeNEXT panel identified oncogenic gene alterations. The discovery cohort consisted of 30 formalin‐fixed, paraffin‐embedded benign and malignant thyroid neoplasms, including 4 cases of MTC. After analytical validation, clinical validation was performed using 3 distinct cohorts (total of 7557 specimens). RESULTS: In the discovery cohort, 9 diff‐pairs were identified as having significant power using the Kruskal‐Wallis test (P < .0001) to distinguish MTC samples from non‐MTC samples. The assay correctly classified all MTC and non‐MTC samples in the analytical validation study and in the 3 clinical validation cohorts. The overall test accuracy was 100% (95% confidence interval, 99%‐100%). In indeterminate FNAC samples, the sensitivity of the diff‐pair analysis was greater than that of the MTC‐specific mutation analysis (100% vs 25%; P = .03). CONCLUSIONS: Pairwise miRNA expression analysis of ThyraMIR results were found to accurately predict MTC in thyroid FNA samples, including those with indeterminate FNAC findings.
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spelling pubmed-79844502021-03-25 Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples Ciarletto, Andrea M. Narick, Christina Malchoff, Carl D. Massoll, Nicole A. Labourier, Emmanuel Haugh, Keith Mireskandari, Alidad Finkelstein, Sydney D. Kumar, Gyanendra Cancer Cytopathol Original Articles BACKGROUND: Medullary thyroid carcinoma (MTC) is an aggressive malignancy originating from the parafollicular C cells. Preoperatively, thyroid nodule fine‐needle aspiration cytology (FNAC) and pathogenic gene mutations are definitive in approximately one‐half of cases. MicroRNAs (miRNAs) are endogenous, noncoding, single‐stranded RNAs that regulate gene expression, a characteristic that confers the potential for identifying malignancy. In the current study, the authors hypothesized that differential pairwise (diff‐pair) analysis of miRNA expression levels would reliably identify MTC in FNA samples. METHODS: The relative abundance of 10 different miRNAs in total nucleic acids was obtained from ThyraMIR test results. Diff‐pair analysis was performed by subtracting the critical threshold value of one miRNA from the critical threshold values of other miRNAs. Next‐generation sequencing with the ThyGeNEXT panel identified oncogenic gene alterations. The discovery cohort consisted of 30 formalin‐fixed, paraffin‐embedded benign and malignant thyroid neoplasms, including 4 cases of MTC. After analytical validation, clinical validation was performed using 3 distinct cohorts (total of 7557 specimens). RESULTS: In the discovery cohort, 9 diff‐pairs were identified as having significant power using the Kruskal‐Wallis test (P < .0001) to distinguish MTC samples from non‐MTC samples. The assay correctly classified all MTC and non‐MTC samples in the analytical validation study and in the 3 clinical validation cohorts. The overall test accuracy was 100% (95% confidence interval, 99%‐100%). In indeterminate FNAC samples, the sensitivity of the diff‐pair analysis was greater than that of the MTC‐specific mutation analysis (100% vs 25%; P = .03). CONCLUSIONS: Pairwise miRNA expression analysis of ThyraMIR results were found to accurately predict MTC in thyroid FNA samples, including those with indeterminate FNAC findings. John Wiley and Sons Inc. 2020-10-05 2021-03 /pmc/articles/PMC7984450/ /pubmed/33017868 http://dx.doi.org/10.1002/cncy.22365 Text en © 2020 Interpace Biosciences. Cancer Cytopathology published by Wiley Periodicals LLC on behalf of American Cancer Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Ciarletto, Andrea M.
Narick, Christina
Malchoff, Carl D.
Massoll, Nicole A.
Labourier, Emmanuel
Haugh, Keith
Mireskandari, Alidad
Finkelstein, Sydney D.
Kumar, Gyanendra
Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
title Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
title_full Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
title_fullStr Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
title_full_unstemmed Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
title_short Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
title_sort analytical and clinical validation of pairwise microrna expression analysis to identify medullary thyroid cancer in thyroid fine‐needle aspiration samples
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984450/
https://www.ncbi.nlm.nih.gov/pubmed/33017868
http://dx.doi.org/10.1002/cncy.22365
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