Salivary Biomarkers for Detection of Oral Squamous Cell Carcinoma in a Taiwanese Population.
Salivary Biomarkers for Detection of Oral Squamous Cell Carcinoma in a Taiwanese Population.
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DOI：
10.1158/1078-0432.ccr-15-1761
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发表时间：
2016-07-01
期刊：
影响因子：
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通讯作者：
Wong DT
中科院分区：
文献类型：
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作者：
Gleber-Netto FO;Yakob M;Li F;Feng Z;Dai J;Kao HK;Chang YL;Chang KP;Wong DT
本研究评估了唾液转录组学和蛋白质组学生物标志物在区分口腔癌（OSCC）病例与对照和潜在恶性口腔疾病（PMOD）中的区分能力。共180例样本（60例OSCC患者，60例对照组和60例PMOD患者）用于本研究。采用真实的PCR方法检测IL-8、IL-1β、SAT 1、OAZ 1、DUSP 1、S100 P、H3 F3 A等7种转录组标志物，采用ELISA方法检测IL-8和IL-1β等2种蛋白质组标志物。在7个转录组标记中，DUSP 1在口腔鳞癌患者中的转录水平显著低于对照组和PMOD患者。在蛋白质组学标记物中，IL-8和IL-1β的蛋白质浓度在OSCC患者中显著高于对照组和异型增生患者。单变量分数多项式模型显示，唾液IL-8蛋白在OSCC患者和对照组之间（0.74）以及OSCC和PMOD患者之间（0.72）具有最高的AUC值。应用2-标记分数多项式模型，IL-8蛋白联合IL-1β的AUC值最能区分OSCC患者和对照组，IL-8蛋白联合H3 F3 A mRNA的AUC值最能区分OSCC患者和PMOD患者。结合唾液分析物和与口腔癌发生相关的风险因素暴露的多变量模型分析形成了OSCC与PMOL（AUC=0.80）、OSCC与对照（AUC=0.87）和PMOD与对照（AUC=0.78）之间区分的最佳组合变量。转录组学和蛋白质组学唾液标志物的组合对于PMOD患者和对照的口腔癌检测和鉴别具有重要价值。
This study evaluated the discriminatory power of salivary transcriptomic and proteomic biomarkers in distinguishing oral cancer (OSCC) cases from controls and potentially malignant oral disorders (PMOD). A total of 180 samples (60 OSCC patients, 60 controls and 60 PMOD patients) were used in the study. Seven transcriptomic markers (IL-8, IL-1β, SAT1, OAZ1, DUSP1, S100P, H3F3A) were measured using quantitative real time PCR and two proteomic markers (IL-8 and IL-1β) were evaluated by ELISA. Among 7 transcriptomic markers, transcript level of DUSP1 was significantly lower in OSCC patients than in controls and PMOD patients. Between the proteomic markers, the protein concentration of IL-8 and IL-1β was significantly higher in OSCC patients than controls and dysplasia patients. Univariate fractional polynomial models revealed that salivary IL-8 protein has the highest AUC value between OSCC patients and controls (0.74) and between OSCC and PMOD patients (0.72). Applying a 2-markers fractional polynomial model, salivary IL-8 protein combined with IL-1β gave the best AUC value for discrimination between OSCC patients and controls, as well as the IL-8 protein combined with H3F3A mRNA gave the best AUC value for discrimination between OSCC and PMOD patients. Multivariate models analysis combining salivary analytes and risk factor exposure related to oral carcinogenesis formed the best combinatory variables for differentiation between OSCC vs PMOL (AUC=0.80), OSCC vs controls (AUC=0.87) and PMOD vs. controls (AUC=0.78). Combination of transcriptomic and proteomic salivary markers is of great value for oral cancer detection and differentiation from PMOD patients and controls.