Gentry-Maharaj Aleksandra, Blyuss Oleg, Ryan Andy, Burnell Matthew, Karpinskyj Chloe, Gunu Richard, Kalsi Jatinderpal K, Dawnay Anne, Marino Ines P, Manchanda Ranjit, Lu Karen, Yang Wei-Lei, Timms John F, Parmar Max, Skates Steven J, Bast Robert C, Jacobs Ian J, Zaikin Alexey, Menon Usha
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, London WC1V 6LJ, UK.
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield AL10 9AB, UK.
Cancers (Basel). 2020 Jul 17;12(7):1931. doi: 10.3390/cancers12071931.
Longitudinal CA125 algorithms are the current basis of ovarian cancer screening. We report on longitudinal algorithms incorporating multiple markers. In the multimodal arm of United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), 50,640 postmenopausal women underwent annual screening using a serum CA125 longitudinal algorithm. Women (cases) with invasive tubo-ovarian cancer (WHO 2014) following outcome review with stored annual serum samples donated in the 5 years preceding diagnosis were matched 1:1 to controls (no invasive tubo-ovarian cancer) in terms of the number of annual samples and age at randomisation. Blinded samples were assayed for serum human epididymis protein 4 (HE4), CA72-4 and anti-TP53 autoantibodies. Multimarker method of mean trends (MMT) longitudinal algorithms were developed using the assay results and trial CA125 values on the training set and evaluated in the blinded validation set. The study set comprised of 1363 (2-5 per woman) serial samples from 179 cases and 181 controls. In the validation set, area under the curve (AUC) and sensitivity of longitudinal CA125-MMT algorithm were 0.911 (0.871-0.952) and 90.5% (82.5-98.6%). None of the longitudinal multi-marker algorithms (CA125-HE4, CA125-HE4-CA72-4, CA125-HE4-CA72-4-anti-TP53) performed better or improved on lead-time. Our population study suggests that longitudinal HE4, CA72-4, anti-TP53 autoantibodies adds little value to longitudinal serum CA125 as a first-line test in ovarian cancer screening of postmenopausal women.
纵向CA125算法是目前卵巢癌筛查的基础。我们报告了纳入多个标志物的纵向算法。在英国卵巢癌筛查协作试验(UKCTOCS)的多模式组中,50640名绝经后妇女使用血清CA125纵向算法进行年度筛查。对在诊断前5年捐赠的储存年度血清样本进行结局审查后确诊为浸润性输卵管卵巢癌(WHO 2014)的女性(病例),根据年度样本数量和随机分组时的年龄,与对照组(无浸润性输卵管卵巢癌)进行1:1匹配。对盲法样本检测血清人附睾蛋白4(HE4)、CA72-4和抗TP53自身抗体。利用训练集的检测结果和试验CA125值开发了多标志物平均趋势(MMT)纵向算法,并在盲法验证集中进行评估。研究集包括来自179例病例和181例对照的1363份(每位女性2 - 5份)系列样本。在验证集中,纵向CA125 - MMT算法的曲线下面积(AUC)和灵敏度分别为0.911(0.871 - 0.952)和90.5%(82.5 - 98.6%)。纵向多标志物算法(CA125 - HE4、CA125 - HE4 - CA72 - 4、CA125 - HE4 - CA72 - 4 - 抗TP53)在提前期方面均未表现得更好或有所改善。我们的人群研究表明,在绝经后女性卵巢癌筛查中,作为一线检测方法,纵向检测HE4、CA72 - 4、抗TP53自身抗体相对于纵向血清CA125几乎没有增加价值。