生存分析
比例危险模型
转录组
肿瘤科
基因
基底细胞
生物
癌症
接收机工作特性
存活率
癌症研究
内科学
医学
基因表达
遗传学
作者
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
出处
期刊:Oral Diseases
[Wiley]
日期:2022-07-22
卷期号:29 (7): 2658-2666
被引量:3
摘要
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.
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