Department of Obstetrics and Gynecology, Haidian Women's and Children's Hospital, Beijing 100080, China.
Int J Gynecol Cancer. 2013 May;23(4):667-72. doi: 10.1097/IGC.0b013e31827e1989.
The purpose of this study was to screen potential serum tumor biomarkers for the diagnosis of ovarian cancer.
The study includes 3 sets. The first set of patients included 37 ovarian cancers and 31 healthy women (healthy controls). The second set included 42 ovarian cancers, 33 patients with benign ovarian tumor, and 29 healthy women (noncancer controls). The third set included 39 ovarian cancers and 35 patients with benign ovarian tumor (benign controls). Serum samples from ovarian cancers, healthy controls, noncancer controls, and benign controls were analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.
A 3-peak model (peaks of mass-to-charge ratio values at 5766.379 d, 5912.586 d, and 11695.56 d) was established in the training set that discriminated cancer from noncancer with high sensitivity (10/11, 90.90%) and specificity (19/20, 95.00%). The peaks corresponding to 3 potential biomarkers increased significantly with the degree of malignancy.
The proteins represented by these 3 peaks are biomarker candidates for ovarian cancer diagnosis and/or monitoring treatment response.
本研究旨在筛选用于卵巢癌诊断的潜在血清肿瘤标志物。
本研究包括 3 组。第一组患者包括 37 例卵巢癌和 31 名健康女性（健康对照组）。第二组包括 42 例卵巢癌、33 例良性卵巢肿瘤患者和 29 名健康女性（非癌症对照组）。第三组包括 39 例卵巢癌和 35 例良性卵巢肿瘤患者（良性对照组）。采用表面增强激光解吸电离飞行时间质谱法分析卵巢癌、健康对照组、非癌症对照组和良性对照组的血清样本。
在训练集中建立了一个 3 峰模型（质荷比数值分别为 5766.379、5912.586 和 11695.56 的峰），该模型能够以高灵敏度（11/11，90.90%）和特异性（20/20，95.00%）区分癌症与非癌症。与恶性程度呈正相关的 3 个潜在生物标志物峰所对应的蛋白质。
这 3 个峰所代表的蛋白质是卵巢癌诊断和/或监测治疗反应的候选生物标志物。
