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Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma

The search for preoperative biomarkers for thyroid malignancies, in particular for follicular thyroid carcinoma (FTC) diagnostics, is of utmost clinical importance. We thus aimed at screening for potential biomarker candidates for FTC. To evaluate dynamic alterations in molecular patterns as a funct...

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Autores principales: Makhlouf, Anne-Marie, Chitikova, Zhanna, Pusztaszeri, Marc, Berczy, Margaret, Delucinge-Vivier, Celine, Triponez, Frederic, Meyer, Patrick, Philippe, Jacques, Dibner, Charna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216760/
https://www.ncbi.nlm.nih.gov/pubmed/27329729
http://dx.doi.org/10.18632/oncotarget.10166
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author Makhlouf, Anne-Marie
Chitikova, Zhanna
Pusztaszeri, Marc
Berczy, Margaret
Delucinge-Vivier, Celine
Triponez, Frederic
Meyer, Patrick
Philippe, Jacques
Dibner, Charna
author_facet Makhlouf, Anne-Marie
Chitikova, Zhanna
Pusztaszeri, Marc
Berczy, Margaret
Delucinge-Vivier, Celine
Triponez, Frederic
Meyer, Patrick
Philippe, Jacques
Dibner, Charna
author_sort Makhlouf, Anne-Marie
collection PubMed
description The search for preoperative biomarkers for thyroid malignancies, in particular for follicular thyroid carcinoma (FTC) diagnostics, is of utmost clinical importance. We thus aimed at screening for potential biomarker candidates for FTC. To evaluate dynamic alterations in molecular patterns as a function of thyroid malignancy progression, a comparative analysis was conducted in clinically distinct subgroups of FTC and poorly differentiated thyroid carcinoma (PDTC) nodules. NanoString analysis of FFPE samples was performed in 22 follicular adenomas, 56 FTC and 25 PDTC nodules, including oncocytic and non-oncocytic subgroups. The expression levels of CHEK1, c-KIT, SLC26A4, TG and TPO were significantly altered in all types of thyroid carcinomas. Based on collective changes of these biomarkers which correlating among each other, a predictive score has been established, allowing for discrimination between benign and FTC samples with high sensitivity and specificity. Additional transcripts related to thyroid function, cell cycle, circadian clock, and apoptosis regulation were altered in the more aggressive oncocytic subgroups only, with expression levels correlating with disease progression. Distinct molecular patterns were observed for oncocytic and non-oncocytic FTCs and PDTCs. A predictive score correlation coefficient based on collective alterations of identified here biomarkers might help to improve the preoperative diagnosis of FTC nodules.
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spelling pubmed-52167602017-01-15 Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma Makhlouf, Anne-Marie Chitikova, Zhanna Pusztaszeri, Marc Berczy, Margaret Delucinge-Vivier, Celine Triponez, Frederic Meyer, Patrick Philippe, Jacques Dibner, Charna Oncotarget Research Paper The search for preoperative biomarkers for thyroid malignancies, in particular for follicular thyroid carcinoma (FTC) diagnostics, is of utmost clinical importance. We thus aimed at screening for potential biomarker candidates for FTC. To evaluate dynamic alterations in molecular patterns as a function of thyroid malignancy progression, a comparative analysis was conducted in clinically distinct subgroups of FTC and poorly differentiated thyroid carcinoma (PDTC) nodules. NanoString analysis of FFPE samples was performed in 22 follicular adenomas, 56 FTC and 25 PDTC nodules, including oncocytic and non-oncocytic subgroups. The expression levels of CHEK1, c-KIT, SLC26A4, TG and TPO were significantly altered in all types of thyroid carcinomas. Based on collective changes of these biomarkers which correlating among each other, a predictive score has been established, allowing for discrimination between benign and FTC samples with high sensitivity and specificity. Additional transcripts related to thyroid function, cell cycle, circadian clock, and apoptosis regulation were altered in the more aggressive oncocytic subgroups only, with expression levels correlating with disease progression. Distinct molecular patterns were observed for oncocytic and non-oncocytic FTCs and PDTCs. A predictive score correlation coefficient based on collective alterations of identified here biomarkers might help to improve the preoperative diagnosis of FTC nodules. Impact Journals LLC 2016-06-18 /pmc/articles/PMC5216760/ /pubmed/27329729 http://dx.doi.org/10.18632/oncotarget.10166 Text en Copyright: © 2016 Makhlouf et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Makhlouf, Anne-Marie
Chitikova, Zhanna
Pusztaszeri, Marc
Berczy, Margaret
Delucinge-Vivier, Celine
Triponez, Frederic
Meyer, Patrick
Philippe, Jacques
Dibner, Charna
Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma
title Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma
title_full Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma
title_fullStr Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma
title_full_unstemmed Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma
title_short Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma
title_sort identification of chek1, slc26a4, c-kit, tpo and tg as new biomarkers for human follicular thyroid carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216760/
https://www.ncbi.nlm.nih.gov/pubmed/27329729
http://dx.doi.org/10.18632/oncotarget.10166
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