CONTEXT: Focusing on mitochondrial function and thyroid tumorigenesis, we used an integrative approach to identify relevant biomarkers for borderline thyroid lesions. DESIGN: Using cDNA and microRNA (miRNA) microarrays and quantitative RT-PCR analysis (qPCR), we explored samples of various types of thyroid tumors including 25 benign follicular adenomas represented by macrofollicular variants of thyroid adenomas, 38 oncocytic variants of follicular thyroid tumors, 19 papillary thyroid carcinomas, and 10 tumors of uncertain malignant potential, together with 53 normal thyroid tissue samples. RESULTS: Our transcriptomic analysis, which highlighted discrepancies between controls and tumor tissues, as well as between various tumor types, led to the identification of 13 genes, allowing discrimination between the thyroid adenomas, oncocytic variants of follicular thyroid tumors, and papillary thyroid carcinomas, whereas the tumors of uncertain malignant potential were found to overlap these classes. Five of these genes (TP53, HOXA9, RUNX1, MYD88, and CITED1), with a differential expression confirmed by qPCR analysis, are implicated in tumorigenesis, 4 in mitochondrial metabolism (MRPL14, MRPS2, MRPS28, and COX6A1), and 2 in thyroid metabolic pathways (CaMKIINalpha and TPO). The global miRNA analysis revealed 62 differential miRNAs, the expression level for 10 of these being confirmed by qPCR. The differential expression of the miRNAs was in accordance with the modulation of gene expression and the ontologies revealed by our transcriptomic analysis. CONCLUSIONS: These findings reinforce the classification of follicular thyroid tumors established by the World Health Organization, and our technique offers a novel molecular approach to refine the classification of thyroid tumors of uncertain malignant potential.
CONTEXT: Focusing on mitochondrial function and thyroid tumorigenesis, we used an integrative approach to identify relevant biomarkers for borderline thyroid lesions. DESIGN: Using cDNA and microRNA (miRNA) microarrays and quantitative RT-PCR analysis (qPCR), we explored samples of various types of thyroid tumors including 25 benign follicular adenomas represented by macrofollicular variants of thyroid adenomas, 38 oncocytic variants of follicular thyroid tumors, 19 papillary thyroid carcinomas, and 10 tumors of uncertain malignant potential, together with 53 normal thyroid tissue samples. RESULTS: Our transcriptomic analysis, which highlighted discrepancies between controls and tumor tissues, as well as between various tumor types, led to the identification of 13 genes, allowing discrimination between the thyroid adenomas, oncocytic variants of follicular thyroid tumors, and papillary thyroid carcinomas, whereas the tumors of uncertain malignant potential were found to overlap these classes. Five of these genes (TP53, HOXA9, RUNX1, MYD88, and CITED1), with a differential expression confirmed by qPCR analysis, are implicated in tumorigenesis, 4 in mitochondrial metabolism (MRPL14, MRPS2, MRPS28, and COX6A1), and 2 in thyroid metabolic pathways (CaMKIINalpha and TPO). The global miRNA analysis revealed 62 differential miRNAs, the expression level for 10 of these being confirmed by qPCR. The differential expression of the miRNAs was in accordance with the modulation of gene expression and the ontologies revealed by our transcriptomic analysis. CONCLUSIONS: These findings reinforce the classification of follicular thyroid tumors established by the World Health Organization, and our technique offers a novel molecular approach to refine the classification of thyroid tumors of uncertain malignant potential.
Authors: Gillian Browne; Julie A Dragon; Deli Hong; Terri L Messier; Jonathan A R Gordon; Nicholas H Farina; Joseph R Boyd; Jennifer J VanOudenhove; Andrew W Perez; Sayyed K Zaidi; Janet L Stein; Gary S Stein; Jane B Lian Journal: Tumour Biol Date: 2016-01-09
Authors: Anna Wojcicka; Agnieszka Piekielko-Witkowska; Hanna Kedzierska; Beata Rybicka; Piotr Poplawski; Joanna Boguslawska; Adam Master; Alicja Nauman Journal: PLoS One Date: 2014-05-21 Impact factor: 3.240
Authors: Manuel Saiselet; Jaime M Pita; Alice Augenlicht; Geneviève Dom; Maxime Tarabichi; Danai Fimereli; Jacques E Dumont; Vincent Detours; Carine Maenhaut Journal: Oncotarget Date: 2016-08-09
Authors: Martin Hysek; Johan O Paulsson; Kenbugul Jatta; Ivan Shabo; Adam Stenman; Anders Höög; Catharina Larsson; Jan Zedenius; Carl Christofer Juhlin Journal: Cancers (Basel) Date: 2019-09-26 Impact factor: 6.639
Authors: Miguel Melo; Adriana Gaspar da Rocha; João Vinagre; Rui Batista; Joana Peixoto; Catarina Tavares; Ricardo Celestino; Ana Almeida; Catarina Salgado; Catarina Eloy; Patrícia Castro; Hugo Prazeres; Jorge Lima; Teresina Amaro; Cláudia Lobo; Maria João Martins; Margarida Moura; Branca Cavaco; Valeriano Leite; José Manuel Cameselle-Teijeiro; Francisco Carrilho; Manuela Carvalheiro; Valdemar Máximo; Manuel Sobrinho-Simões; Paula Soares Journal: J Clin Endocrinol Metab Date: 2014-01-29 Impact factor: 5.958