Identification of potential biomarkers and survival analysis for oral squamous cell carcinoma: a transcriptomic study

Página do item simplificado
dc.creatorDaniela Paola Santos de Paula Souza
dc.creatorLorena dos Reis Pereira Queiroz
dc.creatorMarcela Gonçalves de Souza
dc.creatorSabrina Ferreira de Jesus
dc.creatorEmisael StênioBatista Gomes
dc.creatorRogério Trancoso Vitorino
dc.creatorSérgio Henrique Sousa Santos
dc.creatorLucyana Conceição Farias
dc.creatorAlfredo Maurício Batista de Paula
dc.creatorMarcos Flávio Silveira Vasconcelos D'Angelo
dc.creatorCarlos Alberto de Carvalho Fraga
dc.creatorAndré Luiz Sena Guimarães
dc.date.accessioned2024-10-09T21:35:07Z
dc.date.accessioned2025-09-09T00:27:24Z
dc.date.available2024-10-09T21:35:07Z
dc.date.issued2023-10
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttps://doi.org/10.1111/odi.14302
dc.identifier.issn1601-0825
dc.identifier.urihttps://hdl.handle.net/1843/77351
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofOral Diseases
dc.rightsAcesso Restrito
dc.subjectBoca - Câncer
dc.subjectCarcinoma de células escamosas
dc.subjectTumores
dc.subjectBioinformática
dc.titleIdentification of potential biomarkers and survival analysis for oral squamous cell carcinoma: a transcriptomic study
dc.typeArtigo de periódico
local.citation.epage2984
local.citation.issue7
local.citation.spage2463
local.citation.volume29
local.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.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://onlinelibrary.wiley.com/doi/10.1111/odi.14302

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG