Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis
Abstract Papillary Thyroid Cancer (PTC) is an endocrine malignancy in which BRAFV600E oncogenic mutation induces the most aggressive phenotype. In this way, considering that lncRNAs are arising as key players in oncogenesis, it is of high interest the identification of BRAFV600E-associated long nonc...
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oai:doaj.org-article:f4a4450c424b478681599744cc5276c62021-12-02T16:06:17ZIdentification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis10.1038/s41598-017-01957-02045-2322https://doaj.org/article/f4a4450c424b478681599744cc5276c62017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01957-0https://doaj.org/toc/2045-2322Abstract Papillary Thyroid Cancer (PTC) is an endocrine malignancy in which BRAFV600E oncogenic mutation induces the most aggressive phenotype. In this way, considering that lncRNAs are arising as key players in oncogenesis, it is of high interest the identification of BRAFV600E-associated long noncoding RNAs, which can provide possible candidates for secondary mechanisms of BRAF-induced malignancy in PTC. In this study, we identified differentially expressed lncRNAs correlated with BRAFV600E in PTC and, also, extended the cohort of paired normal and PTC samples to more accurately identify differentially expressed lncRNAs between these conditions. Indirectly validated targets of the differentially expressed lncRNAs in PTC compared to matched normal samples demonstrated an involvement in surface receptors responsible for signal transduction and cell adhesion, as well as, regulation of cell death, proliferation and apoptosis. Targets of BRAFV600E-correlated lncRNAs are mainly involved in calcium signaling pathway, ECM-receptor interaction and MAPK pathway. In summary, our study provides candidate lncRNAs that can be either used for future studies related to diagnosis/prognosis or as targets for PTC management.Lucas GoedertJessica Rodrigues PlaçaCesar Seigi FuziwaraMaiaro Cabral Rosa MachadoDesirée Rodrigues PlaçaPalloma Porto AlmeidaTalita Perez SanchesJair Figueredo dos SantosAmanda Cristina CorveloniIlly Enne Gomes PereiraMarcela Motta de CastroEdna Teruko KimuraWilson Araújo Silva Jr.Enilza Maria EspreaficoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017) |
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Medicine R Science Q Lucas Goedert Jessica Rodrigues Plaça Cesar Seigi Fuziwara Maiaro Cabral Rosa Machado Desirée Rodrigues Plaça Palloma Porto Almeida Talita Perez Sanches Jair Figueredo dos Santos Amanda Cristina Corveloni Illy Enne Gomes Pereira Marcela Motta de Castro Edna Teruko Kimura Wilson Araújo Silva Jr. Enilza Maria Espreafico Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis |
| description |
Abstract Papillary Thyroid Cancer (PTC) is an endocrine malignancy in which BRAFV600E oncogenic mutation induces the most aggressive phenotype. In this way, considering that lncRNAs are arising as key players in oncogenesis, it is of high interest the identification of BRAFV600E-associated long noncoding RNAs, which can provide possible candidates for secondary mechanisms of BRAF-induced malignancy in PTC. In this study, we identified differentially expressed lncRNAs correlated with BRAFV600E in PTC and, also, extended the cohort of paired normal and PTC samples to more accurately identify differentially expressed lncRNAs between these conditions. Indirectly validated targets of the differentially expressed lncRNAs in PTC compared to matched normal samples demonstrated an involvement in surface receptors responsible for signal transduction and cell adhesion, as well as, regulation of cell death, proliferation and apoptosis. Targets of BRAFV600E-correlated lncRNAs are mainly involved in calcium signaling pathway, ECM-receptor interaction and MAPK pathway. In summary, our study provides candidate lncRNAs that can be either used for future studies related to diagnosis/prognosis or as targets for PTC management. |
| format |
article |
| author |
Lucas Goedert Jessica Rodrigues Plaça Cesar Seigi Fuziwara Maiaro Cabral Rosa Machado Desirée Rodrigues Plaça Palloma Porto Almeida Talita Perez Sanches Jair Figueredo dos Santos Amanda Cristina Corveloni Illy Enne Gomes Pereira Marcela Motta de Castro Edna Teruko Kimura Wilson Araújo Silva Jr. Enilza Maria Espreafico |
| author_facet |
Lucas Goedert Jessica Rodrigues Plaça Cesar Seigi Fuziwara Maiaro Cabral Rosa Machado Desirée Rodrigues Plaça Palloma Porto Almeida Talita Perez Sanches Jair Figueredo dos Santos Amanda Cristina Corveloni Illy Enne Gomes Pereira Marcela Motta de Castro Edna Teruko Kimura Wilson Araújo Silva Jr. Enilza Maria Espreafico |
| author_sort |
Lucas Goedert |
| title |
Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis |
| title_short |
Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis |
| title_full |
Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis |
| title_fullStr |
Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis |
| title_full_unstemmed |
Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis |
| title_sort |
identification of long noncoding rnas deregulated in papillary thyroid cancer and correlated with brafv600e mutation by bioinformatics integrative analysis |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/f4a4450c424b478681599744cc5276c6 |
| work_keys_str_mv |
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1718385064037842944 |