Department of Experimental Therapeutics, University of Texas M.D. Anderson Cancer Center, Houston, Texas.
Department of Gynaecological Cancer Research Centre, Department of Women's Cancer, Institute for Women's Health, University College London, London, United Kingdom.
Cancer Prev Res (Phila). 2019 Jun;12(6):391-400. doi: 10.1158/1940-6207.CAPR-18-0377. Epub 2019 Apr 9.
Early detection of ovarian cancer has the potential to impact mortality. A multimodal screening strategy where rising CA125 values over time, analyzed with the risk of ovarian cancer algorithm (ROCA), triggers transvaginal sonography and possible surgery has high sensitivity and specificity, but still fails to detect the 20% of early-stage cases that do not express CA125. Use of multiple biomarkers could detect cases missed by CA125. We have studied the sensitivity and lead time of a multi-marker panel (CA125, HE4, MMP-7, and CA 72-4) compared with CA125 alone. We used PRoBE design principles to select preclinical longitudinal specimens from 75 women (50 screen-positive, 25 screen-negative) who developed invasive epithelial ovarian cancer (3-5 serial specimens each) and 547 corresponding healthy controls (1-10 serial specimens each) from the ovarian cancer screening trial, UKCTOCS, in a blinded fashion. We measured the multi-marker concentrations in ultra-low serum volumes (16 μL) utilizing multiplexed bead-based immunoassays with low detection limits, high inter- and intra-assay precision, negligible cross-reactivity, and good correlation with standard immunoassays. While, at least one of the complementary biomarkers rose with CA125 in 44% (22/50) of screen-positive cases, there was no advantage in lead time over CA125. Therefore, we developed single-marker longitudinal algorithms (ROCA-like) to determine the presence of a change point to distinguish between the cases and controls. Using these algorithms, at 98% specificity, HE4 and CA72-4 identified 16% (4/25) of screen-negative cases, while MMP-7 identified none. Taken together, HE4 and CA72-4 show promise as complementary biomarkers to CA125 for longitudinal screening.
早期发现卵巢癌有可能影响死亡率。一种多模式筛查策略,即随着时间的推移,CA125 值升高,结合卵巢癌风险算法(ROCA)进行分析,触发经阴道超声检查和可能的手术,具有高灵敏度和特异性,但仍无法检测到 20%不表达 CA125 的早期病例。使用多种生物标志物可以检测到 CA125 漏诊的病例。我们研究了多标志物组合(CA125、HE4、MMP-7 和 CA72-4)与 CA125 单独使用的灵敏度和领先时间。我们使用 PRoBE 设计原则,从卵巢癌筛查试验 UKCTOCS 中选择了 75 名(50 名筛查阳性,25 名筛查阴性)患有侵袭性上皮性卵巢癌的女性(每例 3-5 个连续标本)和 547 名相应的健康对照者(每例 1-10 个连续标本)的临床前纵向标本进行盲法研究。我们利用基于微珠的多重免疫分析,以超低血清量(16 μL)测量多标志物浓度,具有低检测限、高内和间分析精度、可忽略的交叉反应性以及与标准免疫分析的良好相关性。虽然在 44%(22/50)的筛查阳性病例中,至少有一种互补生物标志物与 CA125 一起升高,但在领先时间方面没有优于 CA125 的优势。因此,我们开发了单标志物纵向算法(类似于 ROCA)来确定变化点的存在,以区分病例和对照。使用这些算法,在特异性为 98%的情况下,HE4 和 CA72-4 可以识别出 16%(4/25)的筛查阴性病例,而 MMP-7 则无法识别。总之,HE4 和 CA72-4 作为 CA125 的补充生物标志物,具有用于纵向筛查的潜力。