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Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas

We examined the utility of microfluidic digital PCR (dPCR) for detection of BRAF and TERT mutations in thyroid tumors. DNA extracted from 100 thyroid tumors (10 follicular adenomas, 10 follicular cancers, 5 medullary cancers, and 75 papillary thyroid cancer (PTC) were used for detection of BRAF and...

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Autores principales: Ylli, Dorina, Patel, Aneeta, Jensen, Kirk, Li, Zhao-Zhang, Mendonca-Torres, Maria Cecilia, Costello, John, Gomes-Lima, Cristiane Jeyce, Wartofsky, Leonard, Burman, Kenneth Dale, Vasko, Vasyl V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966523/
https://www.ncbi.nlm.nih.gov/pubmed/31810221
http://dx.doi.org/10.3390/cancers11121916
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author Ylli, Dorina
Patel, Aneeta
Jensen, Kirk
Li, Zhao-Zhang
Mendonca-Torres, Maria Cecilia
Costello, John
Gomes-Lima, Cristiane Jeyce
Wartofsky, Leonard
Burman, Kenneth Dale
Vasko, Vasyl V.
author_facet Ylli, Dorina
Patel, Aneeta
Jensen, Kirk
Li, Zhao-Zhang
Mendonca-Torres, Maria Cecilia
Costello, John
Gomes-Lima, Cristiane Jeyce
Wartofsky, Leonard
Burman, Kenneth Dale
Vasko, Vasyl V.
author_sort Ylli, Dorina
collection PubMed
description We examined the utility of microfluidic digital PCR (dPCR) for detection of BRAF and TERT mutations in thyroid tumors. DNA extracted from 100 thyroid tumors (10 follicular adenomas, 10 follicular cancers, 5 medullary cancers, and 75 papillary thyroid cancer (PTC) were used for detection of BRAF and TERT mutations. Digital PCRs were performed using rare mutation SNP genotyping assays on QuantStudio 3D platform. In PTCs, BRAFV600E was detected by dPCR and Sanger sequencing in 42/75 (56%) and in 37/75 (49%), respectively. BRAFV600E was not detected in other tumors. The ratio of mutant/total BRAF alleles varied from 4.7% to 47.5%. These ratios were higher in classical PTCs (27.1%) as compared to follicular variant PTCs (9.4%) p = 0.001. In PTCs with and without metastases, the ratios of mutant/total BRAF alleles were 27.6% and 18.4%, respectively, (p = 0.03). In metastatic lesions percentages of mutant/total BRAF alleles were similar to those detected in primary tumors. TERTC228T and TERTC250T were found in two and one cases, respectively, and these tumors concomitantly harbored BRAFV600E. These tumors exhibited gross extra-thyroidal extension, metastases to lymph nodes, and pulmonary metastases (one case). Our results showed that dPCR allows quantitative assessment of druggable targets in PTCs and could be helpful in a molecular-based stratification of prognosis in patients with thyroid cancer.
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spelling pubmed-69665232020-01-27 Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas Ylli, Dorina Patel, Aneeta Jensen, Kirk Li, Zhao-Zhang Mendonca-Torres, Maria Cecilia Costello, John Gomes-Lima, Cristiane Jeyce Wartofsky, Leonard Burman, Kenneth Dale Vasko, Vasyl V. Cancers (Basel) Article We examined the utility of microfluidic digital PCR (dPCR) for detection of BRAF and TERT mutations in thyroid tumors. DNA extracted from 100 thyroid tumors (10 follicular adenomas, 10 follicular cancers, 5 medullary cancers, and 75 papillary thyroid cancer (PTC) were used for detection of BRAF and TERT mutations. Digital PCRs were performed using rare mutation SNP genotyping assays on QuantStudio 3D platform. In PTCs, BRAFV600E was detected by dPCR and Sanger sequencing in 42/75 (56%) and in 37/75 (49%), respectively. BRAFV600E was not detected in other tumors. The ratio of mutant/total BRAF alleles varied from 4.7% to 47.5%. These ratios were higher in classical PTCs (27.1%) as compared to follicular variant PTCs (9.4%) p = 0.001. In PTCs with and without metastases, the ratios of mutant/total BRAF alleles were 27.6% and 18.4%, respectively, (p = 0.03). In metastatic lesions percentages of mutant/total BRAF alleles were similar to those detected in primary tumors. TERTC228T and TERTC250T were found in two and one cases, respectively, and these tumors concomitantly harbored BRAFV600E. These tumors exhibited gross extra-thyroidal extension, metastases to lymph nodes, and pulmonary metastases (one case). Our results showed that dPCR allows quantitative assessment of druggable targets in PTCs and could be helpful in a molecular-based stratification of prognosis in patients with thyroid cancer. MDPI 2019-12-02 /pmc/articles/PMC6966523/ /pubmed/31810221 http://dx.doi.org/10.3390/cancers11121916 Text en © 2019 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
Ylli, Dorina
Patel, Aneeta
Jensen, Kirk
Li, Zhao-Zhang
Mendonca-Torres, Maria Cecilia
Costello, John
Gomes-Lima, Cristiane Jeyce
Wartofsky, Leonard
Burman, Kenneth Dale
Vasko, Vasyl V.
Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas
title Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas
title_full Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas
title_fullStr Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas
title_full_unstemmed Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas
title_short Microfluidic Droplet Digital PCR Is a Powerful Tool for Detection of BRAF and TERT Mutations in Papillary Thyroid Carcinomas
title_sort microfluidic droplet digital pcr is a powerful tool for detection of braf and tert mutations in papillary thyroid carcinomas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966523/
https://www.ncbi.nlm.nih.gov/pubmed/31810221
http://dx.doi.org/10.3390/cancers11121916
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