U.T. M.D. Anderson Cancer Center, Houston, TX 77030-4009, USA.
Gynecol Oncol. 2011 Sep;122(3):548-53. doi: 10.1016/j.ygyno.2011.06.002. Epub 2011 Jun 25.
The low prevalence of ovarian cancer demands both high sensitivity (>75%) and specificity (99.6%) to achieve a positive predictive value of 10% for successful early detection. Utilizing a two stage strategy where serum marker(s) prompt the performance of transvaginal sonography (TVS) in a limited number (2%) of women could reduce the requisite specificity for serum markers to 98%. We have attempted to improve sensitivity by combining CA125 with proteomic markers.
Sera from 41 patients with early stage (I/II) and 51 with late stage (III/IV) epithelial ovarian cancer, 40 with benign disease and 99 healthy individuals, were analyzed to measure 7 proteins [Apolipoprotein A1 (Apo-A1), truncated transthyretin (TT), transferrin, hepcidin, ß-2-microglobulin (ß2M), Connective Tissue Activating Protein III (CTAPIII), and Inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4)]. Statistical models were fit by logistic regression, followed by optimization of factors retained in the models determined by optimizing the Akaike Information Criterion. A validation set included 136 stage I ovarian cancers, 140 benign pelvic masses and 174 healthy controls.
In a training set analysis, the 3 most effective biomarkers (Apo-A1, TT and CTAPIII) exhibited 54% sensitivity at 98% specificity, CA125 alone produced 68% sensitivity and the combination increased sensitivity to 88%. In a validation set, the marker panel plus CA125 produced a sensitivity of 84% at 98% specificity (P=0.015, McNemar's test).
Combining a panel of proteomic markers with CA125 could provide a first step in a sequential two-stage strategy with TVS for early detection of ovarian cancer.
卵巢癌的低发病率要求敏感性(>75%)和特异性(99.6%)都要高,以实现 10%的阳性预测值,从而成功进行早期检测。利用两阶段策略,其中血清标志物促使对少数(2%)女性进行经阴道超声(TVS)检查,可以将血清标志物的特异性要求降低到 98%。我们试图通过结合 CA125 来提高敏感性。
分析了 41 例早期(I/II 期)和 51 例晚期(III/IV 期)上皮性卵巢癌、40 例良性疾病和 99 例健康个体的血清,以测量 7 种蛋白质[载脂蛋白 A1(Apo-A1)、截短转甲状腺素蛋白(TT)、转铁蛋白、hepcidin、ß-2-微球蛋白(ß2M)、连接组织激活蛋白 III(CTAPIII)和α-胰蛋白酶抑制剂重链 4(ITIH4)]。使用逻辑回归拟合统计模型,然后通过优化信息准则确定的保留在模型中的因素来优化模型。验证集包括 136 例 I 期卵巢癌、140 例良性盆腔肿块和 174 例健康对照。
在训练集分析中,3 种最有效的生物标志物(Apo-A1、TT 和 CTAPIII)在 98%特异性时的敏感性为 54%,CA125 单独的敏感性为 68%,联合使用可将敏感性提高到 88%。在验证集中,标志物组合加 CA125 的敏感性为 98%特异性(P=0.015,McNemar 检验)。
结合一组蛋白质标志物和 CA125 可以为使用 TVS 的卵巢癌早期检测的两步连续策略提供第一步。