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Platelet protein biomarker panel for ovarian cancer diagnosis

机译:血小板蛋白生物标志物组用于卵巢癌诊断

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BackgroundPlatelets support cancer growth and spread making platelet proteins candidates in the search for biomarkers. MethodsTwo-dimensional (2D) gel electrophoresis, Partial Least Squares Discriminant Analysis (PLS-DA), Western blot, DigiWest. ResultsPLS-DA of platelet protein expression in 2D gels suggested differences between the International Federation of Gynaecology and Obstetrics (FIGO) stages III-IV of ovarian cancer, compared to benign adnexal lesions with a sensitivity of 96% and a specificity of 88%. A PLS-DA-based model correctly predicted 7 out of 8 cases of FIGO stages I-II of ovarian cancer after verification by western blot. Receiver-operator curve (ROC) analysis indicated a sensitivity of 83% and specificity of 76% at cut-off >0.5 (area under the curve (AUC)?=?0.831, p ConclusionWe identified a group of platelet protein biomarker candidates that can quantify the differential expression between ovarian cancer cases as compared to benign adnexal lesions.
机译:背景血小板在寻找生物标志物时支持癌症的生长和扩散,使血小板蛋白成为候选。方法二维(2D)凝胶电泳,偏最小二乘判别分析(PLS-DA),蛋白质印迹,DigiWest。结果2D凝胶中血小板蛋白表达的PLS-DA表明,与妇科良性附件病变相比,国际妇产科学联合会(FIGO)卵巢癌III-IV期之间存在差异,敏感性为96%,特异性为88%。经过Western blot验证后,基于PLS-DA的模型正确预测了8例FIGO I-II期卵巢癌患者中的7例。接收者-操作者曲线(ROC)分析表明,截止值> 0.5时灵敏度为83%,特异性为76%(曲线下面积(AUC)?=?0.831,p结论)我们确定了一组血小板蛋白生物标志物候选物量化与良性附件病变相比卵巢癌病例之间的差异表达。

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