Department of Obstetrics & Gynecology, Skanes University Hospital, Lund, Sweden.
J Ovarian Res. 2012 Aug 21;5(1):20. doi: 10.1186/1757-2215-5-20.
The aim of this study was to assess the clinical value of preoperative blood levels of HE4 as a predictor of overall survival in patients with ovarian cancer and to validate previous data of HE4 and the ROMA algorithm including HE4 and CA125 in discriminating benign and malignant ovarian tumors.
The preoperative plasma levels of HE4 and CA125 were analyzed with ELISA in 312 patients with adnexal lesions. Tumors were classified as benign (n= 206), borderline (i.e. low malignant potential tumors) (n= 25), and well (n= 14), moderately (n= 15), and poorly (n= 51) differentiated malignant.
In univariate Cox regression analyses high levels (dichotomized at the median) of HE4, CA125, increased age (continuous variable), advanced-stage of disease 2-4, histological grade 3 and non-optimal tumor debulking at primary surgery were all significantly associated with shorter overall survival. A multivariate Cox regression model including pre-operative available covariates HE4 and CA125 both dichotomized at median in addition to age as continuous variable showed that high levels of HE4 was an independent prognostic marker for worse prognosis HR 2.02 (95% CI 1.1-3.8). In postmenopausal women the ROMA algorithm gave the highest AUC of 0.94 (95% CI, 0.90-0.97) which was higher than the separate markers HE4 AUC 0.91 (95% CI 0.86-0.95) and CA125 AUC 0.91(95% CI 0.87-0.96).
High concentration of plasma HE4 is an independent preoperative marker of poor prognosis in patients with ovarian cancer. The algorithm ROMA discriminates in postmenopausal women between malignant and benign tumors with an AUC of 0.94.
本研究旨在评估术前 HE4 血水平作为卵巢癌患者总生存率的预测因子的临床价值,并验证先前关于 HE4 和包括 HE4 和 CA125 的 ROMA 算法的数据,以区分良性和恶性卵巢肿瘤。
用 ELISA 分析了 312 例附件病变患者的术前血浆 HE4 和 CA125 水平。肿瘤分为良性(n=206)、交界性(即低恶性潜能肿瘤)(n=25)、交界性(n=14)、中(n=15)和差(n=51)分化恶性。
在单因素 Cox 回归分析中,高水平(中位数二分法)的 HE4、CA125、年龄增加(连续变量)、疾病分期 2-4、组织学分级 3 级和初次手术时非最佳肿瘤减瘤均与总生存率缩短显著相关。一个包括术前可获得的协变量的多变量 Cox 回归模型 HE4 和 CA125 均按中位数二分法以及年龄作为连续变量显示,高水平的 HE4 是预后不良的独立预后标志物 HR 2.02(95%CI 1.1-3.8)。在绝经后妇女中,ROMA 算法的 AUC 最高为 0.94(95%CI,0.90-0.97),高于单独标志物 HE4 AUC 0.91(95%CI 0.86-0.95)和 CA125 AUC 0.91(95%CI 0.87-0.96)。
高浓度的血浆 HE4 是卵巢癌患者预后不良的独立术前标志物。ROMA 算法在绝经后妇女中区分恶性和良性肿瘤的 AUC 为 0.94。