Cargando…

Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma

Herein, we aimed at identifying global transcriptome microRNA (miRNA) changes and miRNA target genes in lung adenocarcinoma. Samples were selected as training (N = 24) and independent validation (N = 34) sets. Tissues were microdissected to obtain >90% tumor or normal lung cells, subjected to miR...

Descripción completa

Detalles Bibliográficos
Autores principales: Cinegaglia, Naiara C., Andrade, Sonia Cristina S., Tokar, Tomas, Pinheiro, Maísa, Severino, Fábio E., Oliveira, Rogério A., Hasimoto, Erica N., Cataneo, Daniele C., Cataneo, Antônio J.M., Defaveri, Júlio, Souza, Cristiano P., Marques, Márcia M.C., Carvalho, Robson F., Coutinho, Luiz L., Gross, Jefferson L., Rogatto, Silvia R., Lam, Wan L., Jurisica, Igor, Reis, Patricia P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045367/
https://www.ncbi.nlm.nih.gov/pubmed/27081085
http://dx.doi.org/10.18632/oncotarget.8713
_version_ 1782457102639300608
author Cinegaglia, Naiara C.
Andrade, Sonia Cristina S.
Tokar, Tomas
Pinheiro, Maísa
Severino, Fábio E.
Oliveira, Rogério A.
Hasimoto, Erica N.
Cataneo, Daniele C.
Cataneo, Antônio J.M.
Defaveri, Júlio
Souza, Cristiano P.
Marques, Márcia M.C.
Carvalho, Robson F.
Coutinho, Luiz L.
Gross, Jefferson L.
Rogatto, Silvia R.
Lam, Wan L.
Jurisica, Igor
Reis, Patricia P.
author_facet Cinegaglia, Naiara C.
Andrade, Sonia Cristina S.
Tokar, Tomas
Pinheiro, Maísa
Severino, Fábio E.
Oliveira, Rogério A.
Hasimoto, Erica N.
Cataneo, Daniele C.
Cataneo, Antônio J.M.
Defaveri, Júlio
Souza, Cristiano P.
Marques, Márcia M.C.
Carvalho, Robson F.
Coutinho, Luiz L.
Gross, Jefferson L.
Rogatto, Silvia R.
Lam, Wan L.
Jurisica, Igor
Reis, Patricia P.
author_sort Cinegaglia, Naiara C.
collection PubMed
description Herein, we aimed at identifying global transcriptome microRNA (miRNA) changes and miRNA target genes in lung adenocarcinoma. Samples were selected as training (N = 24) and independent validation (N = 34) sets. Tissues were microdissected to obtain >90% tumor or normal lung cells, subjected to miRNA transcriptome sequencing and TaqMan quantitative PCR validation. We further integrated our data with published miRNA and mRNA expression datasets across 1,491 lung adenocarcinoma and 455 normal lung samples. We identified known and novel, significantly over- and under-expressed (p ≤ 0.01 and FDR≤0.1) miRNAs in lung adenocarcinoma compared to normal lung tissue: let-7a, miR-10a, miR-15b, miR-23b, miR-26a, miR-26b, miR-29a, miR-30e, miR-99a, miR-146b, miR-181b, miR-181c, miR-421, miR-181a, miR-574 and miR-1247. Validated miRNAs included let-7a-2, let-7a-3, miR-15b, miR-21, miR-155 and miR-200b; higher levels of miR-21 expression were associated with lower patient survival (p = 0.042). We identified a regulatory network including miR-15b and miR-155, and transcription factors with prognostic value in lung cancer. Our findings may contribute to the development of treatment strategies in lung adenocarcinoma.
format Online
Article
Text
id pubmed-5045367
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-50453672016-10-13 Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma Cinegaglia, Naiara C. Andrade, Sonia Cristina S. Tokar, Tomas Pinheiro, Maísa Severino, Fábio E. Oliveira, Rogério A. Hasimoto, Erica N. Cataneo, Daniele C. Cataneo, Antônio J.M. Defaveri, Júlio Souza, Cristiano P. Marques, Márcia M.C. Carvalho, Robson F. Coutinho, Luiz L. Gross, Jefferson L. Rogatto, Silvia R. Lam, Wan L. Jurisica, Igor Reis, Patricia P. Oncotarget Research Paper Herein, we aimed at identifying global transcriptome microRNA (miRNA) changes and miRNA target genes in lung adenocarcinoma. Samples were selected as training (N = 24) and independent validation (N = 34) sets. Tissues were microdissected to obtain >90% tumor or normal lung cells, subjected to miRNA transcriptome sequencing and TaqMan quantitative PCR validation. We further integrated our data with published miRNA and mRNA expression datasets across 1,491 lung adenocarcinoma and 455 normal lung samples. We identified known and novel, significantly over- and under-expressed (p ≤ 0.01 and FDR≤0.1) miRNAs in lung adenocarcinoma compared to normal lung tissue: let-7a, miR-10a, miR-15b, miR-23b, miR-26a, miR-26b, miR-29a, miR-30e, miR-99a, miR-146b, miR-181b, miR-181c, miR-421, miR-181a, miR-574 and miR-1247. Validated miRNAs included let-7a-2, let-7a-3, miR-15b, miR-21, miR-155 and miR-200b; higher levels of miR-21 expression were associated with lower patient survival (p = 0.042). We identified a regulatory network including miR-15b and miR-155, and transcription factors with prognostic value in lung cancer. Our findings may contribute to the development of treatment strategies in lung adenocarcinoma. Impact Journals LLC 2016-04-12 /pmc/articles/PMC5045367/ /pubmed/27081085 http://dx.doi.org/10.18632/oncotarget.8713 Text en Copyright: © 2016 Cinegaglia 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
Cinegaglia, Naiara C.
Andrade, Sonia Cristina S.
Tokar, Tomas
Pinheiro, Maísa
Severino, Fábio E.
Oliveira, Rogério A.
Hasimoto, Erica N.
Cataneo, Daniele C.
Cataneo, Antônio J.M.
Defaveri, Júlio
Souza, Cristiano P.
Marques, Márcia M.C.
Carvalho, Robson F.
Coutinho, Luiz L.
Gross, Jefferson L.
Rogatto, Silvia R.
Lam, Wan L.
Jurisica, Igor
Reis, Patricia P.
Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma
title Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma
title_full Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma
title_fullStr Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma
title_full_unstemmed Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma
title_short Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma
title_sort integrative transcriptome analysis identifies deregulated microrna-transcription factor networks in lung adenocarcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045367/
https://www.ncbi.nlm.nih.gov/pubmed/27081085
http://dx.doi.org/10.18632/oncotarget.8713
work_keys_str_mv AT cinegaglianaiarac integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT andradesoniacristinas integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT tokartomas integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT pinheiromaisa integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT severinofabioe integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT oliveirarogerioa integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT hasimotoerican integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT cataneodanielec integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT cataneoantoniojm integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT defaverijulio integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT souzacristianop integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT marquesmarciamc integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT carvalhorobsonf integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT coutinholuizl integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT grossjeffersonl integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT rogattosilviar integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT lamwanl integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT jurisicaigor integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma
AT reispatriciap integrativetranscriptomeanalysisidentifiesderegulatedmicrornatranscriptionfactornetworksinlungadenocarcinoma