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血清NY-ESO-1自身抗体在乳腺癌中的诊断价值 被引量:1

Diagnostic value of autoantibody against NY-ESO-1 for breast cancer
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摘要 目的探讨血清癌-睾丸抗原NY-ESO-1自身抗体在乳腺癌中的诊断意义。方法采用酶联免疫吸附试验检测NY-ESO-1自身抗体在125例乳腺癌患者、33例乳腺良性肿瘤患者和116例健康体检者血清中的水平。结果乳腺癌患者组血清NY-ESO-1自身抗体的水平高于乳腺良性肿瘤和健康体检组,差异均有统计学意义(P﹤0.05)。当以0.226为诊断临界值时,NY-ESO-1自身抗体对乳腺癌的诊断曲线下面积为0.575(95%置信区间:0.695~0.816),敏感度为31.2%,特异度为96.6%。更重要的是,检测NY-ESO-1自身抗体能够区分乳腺癌和乳腺良性肿瘤,其诊断曲线下面积为0.629(95%置信区间:0.531~0.728),敏感度为31.2%,特异度为87.9%。结论血清NY-ESO-1自身抗体对乳腺癌具有诊断价值,是一种潜在的乳腺癌诊断血清标志物。 Objective To assess the diagnostic value of serum autoantibody against NY-ESO-1 in patients with breast cancer. Methods Levels of serum autoantibody against NY-ESO-1 were detected for 125 patients with breast cancer,33 patients with benign breast tumor and 116 healthy controls by using enzyme linked immunosorbent assay( ELISA). Results The serum levels of autoantibody against NY-ESO-1 were significantly higher in breast cancer than those in benign breast tumor and in healthy controls( P〈0. 05). Based on a cut-off value of 0. 226,measurement of autoantibody against NY-ESO-1 provided an area under the curve of 0. 575( 95% confidence interval:0. 695—0. 816),a sensitivity of 31. 2% and a specificity of 96. 6%. Importantly,autoantibody against NY-ESO-1 could differentiate breast cancer from benign breast tumor with an area under the curve of 0. 629( 95% confidence interval: 0. 531—0. 728),a sensitivity of 31. 2% and a specificity of 87. 9%. Conclusion Autoantibody against NY-ESO-1 has diagnostic value for breast cancer,and has potential to be used as a diagnostic biomarker for breast cancer.
作者 谢长乐 罗育豪 黄旭纯 许镒洧 XIE Changle;LUO Yuhao;HUANG Xuchun;XU Yiwei(Department of Surgical Oncology,the Central Hospital of Kaiping City,Kaiping Guangdong 529300,China;Department ol Laboratory Medicine,the Cancer Hospital of Shantou University Medical College,Shantou Guangdong 515041,China)
出处 《转化医学杂志》 2018年第3期137-139,共3页 Translational Medicine Journal
基金 广东省普通高校青年创新人才项目(2015KQNCX044) 汕头大学医学院临床提升计划(201428)
关键词 NY-ESO-1 自身抗体 乳腺癌 诊断 NY- ESO-1 Autoantibody Breast cancer Diagnosis
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