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  4. The impact of FOXP3 polymorphisms on oral cancer progression and clinicopathological characteristics
 
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The impact of FOXP3 polymorphisms on oral cancer progression and clinicopathological characteristics

Journal
Journal of Cancer
Date Issued
2023-01-01
Author(s)
CHIAO-WEN LIN  
HSUEH-JU LU  
CHUN-YI CHUANG  
SHUN-FA YANG  
YING-ERH CHOU  
DOI
10.7150/jca.84470
URI
https://www.scopus.com/pages/publications/85156230946
https://scholars.csmu.edu.tw/handle/123456789/26346
Abstract
Oral cancer is the sixth leading cause of cancer mortality worldwide. Genetic, epigenetic, and epidemiological risk factors were suggested to be correlated with the carcinogenesis of oral cancer. In this study, we focused on the correlations of FOXP3 single-nucleotide polymorphisms (SNPs) to oral cancer susceptibility and clinicopathological characteristics. The FOXP3 SNPs rs3761547, rs3761548, rs3761549, and rs2232365 in 1053 controls and 1175 male patients with oral cancer were analyzed with real-time polymerase chain reaction. The results showed that the betel quid chewer who carried the FOXP3 rs3761548 polymorphic variant “T” were significantly associated with lower risk to develop oral cancer [AOR (95% CI) = 0.649 (0.437-0.964); p = 0.032]. The betel quid chewers with genotypic variant “T” of FOXP3 rs3761548 in male oral cancer patients were associated with lower risk of cell differentiated grade [AOR (95% CI) = 0.592 (0.377-0.930); p = 0.023]. The carriers of FOXP3 rs3761548 polymorphic variant “T” in male oral cancer patients with alcohol consumption were associated with lower risk to develop greater tumor [AOR (95% CI) = 0.609 (0.378-0.983); p = 0.042] and lower risk of cell differentiated grade [AOR (95% CI) = 0.440 (0.248-0.779); p = 0.005]. In conclusion, our results have revealed that the FOXP3 rs3761548 polymorphic variant “T” was associated with lower risk of oral cancer susceptibility, greater tumor size, and cell differentiated grade among betel quid chewers. The FOXP3 rs3761548 polymorphisms may play a role as pivotal biomarkers to predict oral cancer disease development and prognosis.
Type
journal article
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