Portal de Periódicos da CAPES

Artigo Produção Nacional Revisado por pares

BIBTEX RIS

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

2022; Wiley; Volume: 29; Issue: 7 Linguagem: Inglês

10.1111/odi.14302

1601-0825

Daniela Paola Santos de Paula Souza, Lorena dos Reis Pereira Queiroz, Marcela Gonçalves de Souza, Sabrina Ferreira de Jesus, Emisael Stênio Batista Gomes, Rogério Trancoso Vitorino, Sérgio Henrique Sousa Santos, Lucyana Conceição Farias, Alfredo Maurício Batista de Paula, Marcos Flávio Silveira Vasconcelos D’Ângelo, Carlos Alberto de Carvalho Fraga, André Luiz Sena Guimarães,

Cancer-related molecular mechanisms research

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.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.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.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.