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目的:建立口腔黏膜白斑(OLK)基因诊断方法,为临床OLK的早期诊断提供研究基础。方法:采用RT-PCR技术检测OLK组织和非OLK组织的肿瘤相关基因(NF-1、ACP-2、BCL-2、CLK-3、FKBP-8、SOCS-3、XRCC-1、CTNNB-1、GDF-15)表达水平,使用SPSS 11.5软件建立数据库,采用Fisher判别分析建立口腔黏膜白斑基因诊断方法,采用Cross-validated(a)法对本判别方法进行评价。结果:本研究建立了口腔黏膜组织是否为OLK组织的判别公式为:Y=-27.503+0.094XGDF-15-0.122XNF-1+0.368XSOCS-3,确定了判别界值Yc=-1.186,即大于-1.186为非OLK组织,小于-1.186为OLK组织。总判别符合率为、交互判别符合率、灵敏度、特异度均为100%。结论:本研究为临床OLK的基因诊断提供了简便易行的操作方法。
Objective: To establish a method for the diagnosis of oral leukoplakia (OLK) gene and provide the basis for the early diagnosis of clinical OLK. Methods: Tumor-related genes (NF-1, ACP-2, BCL-2, CLK-3, FKBP-8, SOCS-3, XRCC-1 and CTNNB-1 in OLK and non-OLK tissues were detected by RT- , GDF-15), and established the database using SPSS 11.5 software. Fisher’s discriminant analysis was used to establish the diagnostic method of oral leukoplakia. Cross-validated (a) method was used to evaluate the discriminant method. Results: The discriminant formula of whether oral mucosa tissues are OLK tissue was established in this study: Y = -27.503 + 0.094XGDF-15-0.122XNF-1 + 0.368XSOCS-3, and the discriminant cutoff value Yc = -1.186 was determined, -1.186 for non-OLK organizations, less than -1.186 for OLK organizations. The total discriminant compliance rate was 90%. The coincidence rate, sensitivity and specificity of interaction discrimination were all 100%. Conclusion: This study provides a simple and convenient method for gene diagnosis of clinical OLK.