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目的:探讨筛选并建立新疆维吾尔族子宫颈癌血清蛋白质组图谱诊断模型可能的临床价值。方法:采用CM10蛋白芯片和SELDI-TOF-MS技术检测40例子宫颈鳞癌、30例宫颈上皮内瘤变Ⅲ级和15例健康人的血清蛋白质组图谱,ZUCI-蛋白芯片数据分析系统分析并建立维吾尔族子宫颈癌蛋白质组图谱诊断模型。结果:宫颈癌与宫颈上皮内瘤变Ⅲ级患者和健康人存在139种差异蛋白质质谱峰,有分类意义的蛋白质7种。其中质荷比为6 467.26、6 993.199在正常对照组、上皮内瘤变组和宫颈癌组中表达逐渐降低;1 081.275、1 083.193、1 122.849、8 929.189、15 939.86在正常对照组、上皮内瘤变组和宫颈癌组中表达逐渐增高。这7个质荷比峰建立了维吾尔族宫颈癌蛋白质组图谱诊断模型,其准确度85.00%,敏感度72.73%。结论:该组建立的诊断模型可以有效区分维吾尔族宫颈癌患者和正常妇女,为新疆维吾尔族宫颈癌癌的诊断与筛查提供了一条崭新途径。
Objective: To explore the possible clinical value of screening and establishing a diagnostic model of serum proteome in Uygur cervical cancer in Xinjiang. Methods: Serum proteome profiles of 40 cases of cervical squamous cell carcinoma, 30 cases of cervical intraepithelial neoplasia grade Ⅲ and 15 healthy people were detected by CM10 protein chip and SELDI-TOF-MS technique. The data of ZUCI-protein chip were analyzed and analyzed To establish a diagnostic model of Uygur cervical cancer proteome map. Results: There were 139 differential protein peaks in cervical cancer and cervical intraepithelial neoplasia grade Ⅲ patients and healthy individuals, and 7 proteins with classified significance. Which mass-to-charge ratio of 6 467.26,6 993.199 in the normal control group, intraepithelial neoplasia group and cervical cancer group decreased gradually; 1 081.275,1 083.193,1 122.849,8 929.189,15 939.86 in the normal control group, intraepithelial The tumorigenesis group and cervical cancer group expression gradually increased. These seven peaks of mass-to-charge ratio established a diagnostic model of Uygur cervical cancer proteome map, with an accuracy of 85.00% and a sensitivity of 72.73%. Conclusion: The diagnostic model established by this group can effectively distinguish Uigur cervical cancer patients and normal women, providing a new way for the diagnosis and screening of Uigur cervical cancer in.