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dc.contributor.authorVieira, Lucas Maciel-
dc.contributor.authorJorge, Natasha Andressa Nogueira-
dc.contributor.authorSousa, João Batista-
dc.contributor.authorSetubal, João Carlos-
dc.contributor.authorStadler, Peter Florian-
dc.contributor.authorWalter, Maria Emília Machado Telles-
dc.date.accessioned2024-05-20T12:30:52Z-
dc.date.available2024-05-20T12:30:52Z-
dc.date.issued2021-
dc.identifier.citationVIEIRA, Lucas Maciel et al. Competing endogenous RNA in colorectal cancer: an analysis for colon, rectum, and rectosigmoid junction. Frontiers in oncology, 09 jun. 2021. DOI: https://doi.org/10.3389/fonc.2021.681579. Disponível em: https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2021.681579/full0. Acesso em: 20 maio 2024.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/48102-
dc.language.isoengpt_BR
dc.publisherFrontierspt_BR
dc.rightsAcesso Abertopt_BR
dc.titleCompeting endogenous RNA in colorectal cancer : an analysis for colon, rectum, and rectosigmoid junctionpt_BR
dc.typeArtigopt_BR
dc.subject.keywordColón (Anatomia) - câncerpt_BR
dc.subject.keywordReto - câncerpt_BR
dc.subject.keywordRNA endógeno concorrentept_BR
dc.subject.keywordRNAs não-codificadorespt_BR
dc.subject.keywordmiRNApt_BR
dc.rights.licenseCopyright © 2021 Vieira, Jorge, de Sousa, Setubal, Stadler and Walter. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.pt_BR
dc.identifier.doihttps://doi.org/10.3389/fonc.2021.681579pt_BR
dc.description.abstract1Background: Colorectal cancer (CRC) is a heterogeneous cancer. Its treatment depends on its anatomical site and distinguishes between colon, rectum, and rectosigmoid junction cancer. This study aimed to identify diagnostic and prognostic biomarkers using networks of CRC-associated transcripts that can be built based on competing endogenous RNAs (ceRNA). Methods: RNA expression and clinical information data of patients with colon, rectum, and rectosigmoid junction cancer were obtained from The Cancer Genome Atlas (TCGA). The RNA expression profiles were assessed through bioinformatics analysis, and a ceRNA was constructed for each CRC site. A functional enrichment analysis was performed to assess the functional roles of the ceRNA networks in the prognosis of colon, rectum, and rectosigmoid junction cancer. Finally, to verify the ceRNA impact on prognosis, an overall survival analysis was performed. Results: The study identified various CRC site-specific prognosis biomarkers: hsa-miR-1271-5p, NRG1, hsa-miR-130a-3p, SNHG16, and hsa-miR-495-3p in the colon; E2F8 in the rectum and DMD and hsa-miR-130b-3p in the rectosigmoid junction. We also identified different biological pathways that highlight differences in CRC behavior at different anatomical sites, thus reinforcing the importance of correctly identifying the tumor site. Conclusions: Several potential prognostic markers for colon, rectum, and rectosigmoid junction cancer were found. CeRNA networks could provide better understanding of the differences between, and common factors in, prognosis of colon, rectum, and rectosigmoid junction cancer.pt_BR
dc.contributor.affiliationUniversity of Brasília, Instituto de Ciência Exatas, Departamento de Ciência da Computaçãopt_BR
dc.contributor.affiliationBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig, Germanypt_BR
dc.contributor.affiliationBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig, Germanypt_BR
dc.contributor.affiliationUniversity of Brasília School of Medicine, Department of Surgery, Division of Coloproctologypt_BR
dc.contributor.affiliationUniversity of São Paulo, Institute of Chemistry, Department of Biochemistrypt_BR
dc.contributor.affiliationBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig, Germanypt_BR
dc.contributor.affiliationMax Planck Institute for Mathematics in the Science, Leipzig, Germanypt_BR
dc.contributor.affiliationInstitute for Theoretical Chemistry, University of Vienna, Wien, Austriapt_BR
dc.contributor.affiliationFacultad de Ciencias, Universidad National de Colombia, Sede Bogotá, Colombiapt_BR
dc.contributor.affiliationSanta Fe Institute, Santa Fe, CA, United Statespt_BR
dc.contributor.affiliationUniversity of Brasília, Instituto de Ciência Exatas, Departamento de Ciência da Computaçãopt_BR
dc.description.unidadeFaculdade de Medicina (FM)pt_BR
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