1. Repositório Institucional da UFMG
  2. Publicações Científicas e Culturais
  3. Artigo de Periódico
Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/77351
Registro completo de metadatos
Campo DCValorIdioma
dc.creatorDaniela Paola Santos de Paula Souzapt_BR
dc.creatorLorena dos Reis Pereira Queirozpt_BR
dc.creatorMarcela Gonçalves de Souzapt_BR
dc.creatorSabrina Ferreira de Jesuspt_BR
dc.creatorEmisael StênioBatista Gomespt_BR
dc.creatorRogério Trancoso Vitorinopt_BR
dc.creatorSérgio Henrique Sousa Santospt_BR
dc.creatorLucyana Conceição Fariaspt_BR
dc.creatorAlfredo Maurício Batista de Paulapt_BR
dc.creatorMarcos Flávio Silveira Vasconcelos D'Angelopt_BR
dc.creatorCarlos Alberto de Carvalho Fragapt_BR
dc.creatorAndré Luiz Sena Guimarãespt_BR
dc.date.accessioned2024-10-09T21:35:07Z-
dc.date.available2024-10-09T21:35:07Z-
dc.date.issued2023-10-
dc.citation.volume29pt_BR
dc.citation.issue7pt_BR
dc.citation.spage2463pt_BR
dc.citation.epage2984pt_BR
dc.identifier.doihttps://doi.org/10.1111/odi.14302pt_BR
dc.identifier.issn1601-0825pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/77351-
dc.description.resumoObjective: oral squamous cell carcinoma (OSCC) is one of the most common neoplasms worldwide. The current study aimed to identify potential biomarkers associated with OSCC survival. Materials and methods: differentially expressed genes (DEGs) in atypical OSCC cases were identified using two public datasets: The Cancer Genome Atlas and the Gene Expression Omnibus database. Receiver operating characteristic (ROC) analysis was performed to identify the cutoff, and the candidate DEGs related to survival. Kaplan–Meier and Cox regression analysis using the categorized genes were employed to identify genes that impact the overall survival in OSCC. Results: a total of 263 OSCC samples and 105 healthy tissues were used to identify 295 upregulated and 131 downregulated genes expressed only in non-smokers. ROC analyses identified 25 candidate genes associated with death. Survival analyses demonstrated that the following DEGs, namely CSTA, FGFR2, MMP19, OLR1, PCSK1, RAMP2, and CGB5, are potential OSCC prognostic factors. Conclusion: we found that CSTA, FGFR2, MMP19, OLR1, PCSK1, RAMP2, and CGB5 are associated with a low survival rate in OSCC. However, further studies are needed to validate our findings and facilitate the development of these factors as potential biomarkers for OSCC survival.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofOral Diseases-
dc.rightsAcesso Restritopt_BR
dc.subject.otherBoca - Câncerpt_BR
dc.subject.otherCarcinoma de células escamosaspt_BR
dc.subject.otherTumorespt_BR
dc.subject.otherBioinformáticapt_BR
dc.titleIdentification of potential biomarkers and survival analysis for oral squamous cell carcinoma: a transcriptomic studypt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://onlinelibrary.wiley.com/doi/10.1111/odi.14302pt_BR
Aparece en las colecciones:Artigo de Periódico

archivos asociados a este elemento:
no existem archivos asociados a este elemento.
Mostrar registro simple del elemento Visualizar estadísticas


Los elementos en el repositorio están protegidos por copyright, con todos los derechos reservados, salvo cuando es indicado lo contrario.