School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
PLoS One. 2019 Aug 29;14(8):e0220719. doi: 10.1371/journal.pone.0220719. eCollection 2019.
Genetic polymorphisms and social factors (alcohol consumption, betel quid (BQ) usage, and cigarette consumption), both separately or jointly, play a crucial role in the occurrence of oral malignant disorders such as oral and pharyngeal cancers and oral potentially malignant disorders (OPMD).
Simultaneous analyses of multiple single nucleotide polymorphisms (SNPs) and environmental effects on oral malignant disorders are essential to examine, albeit challenging. Thus, we conducted a case-control study (N = 576) to analyze the risk of occurrence of oral malignant disorders by using binary particle swarm optimization (BPSO) with an odds ratio (OR)-based method.
We demonstrated that a combination of SNPs (CYP26B1 rs887844 and CYP26C1 rs12256889) and socio-demographic factors (age, ethnicity, and BQ chewing), referred to as the combined effects of SNP-environment, correlated with maximal risk diversity of occurrence observed between the oral malignant disorder group and the control group. The risks were more prominent in the oral and pharyngeal cancers group (OR = 10.30; 95% confidence interval (CI) = 4.58-23.15) than in the OPMD group (OR = 5.42; 95% CI = 1.94-15.12).
Simulation-based "SNP-environment barcodes" may be used to predict the risk of occurrence of oral malignant disorders. Applying simulation-based "SNP-environment barcodes" may provide insight into the importance of screening tests in preventing oral and pharyngeal cancers and OPMD.
遗传多态性和社会因素(饮酒、咀嚼槟榔和吸烟),无论是单独还是共同作用,都在口腔恶性疾病(如口咽癌和口腔潜在恶性疾病)的发生中起着关键作用。
同时分析多个单核苷酸多态性(SNP)和环境对口腔恶性疾病的影响至关重要,尽管具有挑战性。因此,我们进行了一项病例对照研究(N=576),使用基于优势比(OR)的二进制粒子群优化(BPSO)方法分析口腔恶性疾病发生的风险。
我们证明了 SNP(CYP26B1 rs887844 和 CYP26C1 rs12256889)和社会人口因素(年龄、种族和咀嚼槟榔)的组合,称为 SNP-环境的综合效应,与口腔恶性疾病组和对照组之间观察到的最大风险多样性相关。在口咽癌组(OR=10.30;95%置信区间[CI]:4.58-23.15)的风险比在口腔潜在恶性疾病组(OR=5.42;95%CI:1.94-15.12)更为显著。
基于模拟的“SNP-环境条码”可用于预测口腔恶性疾病的发生风险。应用基于模拟的“SNP-环境条码”可能有助于深入了解筛查测试在预防口咽癌和口腔潜在恶性疾病中的重要性。