Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, Tianjin, 300060, China.
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
J Ovarian Res. 2024 Oct 26;17(1):210. doi: 10.1186/s13048-024-01535-9.
Cancer antigen 125 (CA125) is widely used for screening ovarian cancer (OC), yet its effectiveness remains debated. Potential factors may include ineffective cut-off value for CA125 in screening, as well as a lack of consideration for CA125 trajectories and trajectory-specific progression.
Based on data from multiple rounds of CA125 tests and transvaginal ultrasound (TVU) examinations conducted on 28,456 women in the PLCO Trial, time-dependent receiver-operating-characteristic curves (ROCs) and area-under-the-curves (tdAUCs) analyses were employed to identify the optimal CA125 cut-off values for OC screening. Participants were categorized into four CA125 trajectories: stable negative CA125 (CA125), loss of positive CA125 (CA125), stable positive CA125 (CA125), and gain of positive CA125 (CA125). The associations between different CA125 trajectories, trajectory-specific progression indicators, and OC risk were explored. The effectiveness of risk-stratified CA125 screening, incorporating CA125 trajectories, trajectory-specific progression, and TVU, was evaluated using hazard ratio and 95% confidence intervals [HR (95%CIs)], with adjustments for potential confounders.
After a median follow-up of 14.8 years for OC incidence and 23.8 years for OC mortality, 250 OC cases and 218 OC deaths were identified. The tdAUC for 10-year OC incidence with CA125 was 0.663, with an optimal cut-off value of 13.00 U/ml. Trajectory analyses showed that both CA125 and CA125 were significantly associated with increased risks of OC incidence [HRs (95%CIs): 2.00(1.47-2.73) and 3.06(2.25-4.16)] and mortality [HRs (95%CIs):1.58(1.13-2.21) and 2.60(1.87-3.62)] compared to CA125. Trajectory-specific progression analyses identified relative velocity as the optimal progression indicators for both CA125 and CA125 (tdAUCs: 0.712 and 0.767), with optimal cut-off values of 9% and 32% per year, respectively. Positive progression was associated with significantly increased risks of OC incidence [HRs (95%CI): 7.26(4.00-13.17) and 3.83(1.96-7.51) CA125 and CA125] and mortality [HRs (95%CI): 8.03(4.15-15.56) and 6.04(2.78-13.14)] compared to negative progression. Optimized risk-stratified CA125 screening, which integrated CA125 trajectories, trajectory-specific progression, and TVU, reduced missed OC by 3.6% and improved accuracy compared to traditional screening methods.
Incorporating CA125 trajectories and trajectory-specific progression into screening protocols enhances the identification of the population at high-risk of OC. An optimized screening strategy, which includes these factors along with TVU, is recommended to improve the effectiveness of OC screening.
癌症抗原 125(CA125)广泛用于卵巢癌(OC)筛查,但其效果仍存在争议。潜在因素可能包括 CA125 在筛查中的截断值效果不佳,以及缺乏对 CA125 轨迹和轨迹特异性进展的考虑。
基于 PLCO 试验中 28456 名女性多次进行 CA125 检测和经阴道超声(TVU)检查的数据,采用时间依赖性受试者工作特征曲线(ROCs)和曲线下面积(tdAUCs)分析,确定 CA125 用于 OC 筛查的最佳截断值。将参与者分为四种 CA125 轨迹:CA125 稳定阴性(CA125)、CA125 阳性丧失(CA125)、CA125 稳定阳性(CA125)和 CA125 阳性获得(CA125)。探讨不同 CA125 轨迹、轨迹特异性进展指标与 OC 风险之间的关系。利用风险分层 CA125 筛查,结合 CA125 轨迹、轨迹特异性进展和 TVU,通过危害比和 95%置信区间[HR(95%CI)]进行评估,并对潜在混杂因素进行调整。
在 OC 发病的中位随访时间为 14.8 年,OC 死亡的中位随访时间为 23.8 年,共发现 250 例 OC 病例和 218 例 OC 死亡。CA125 用于 10 年 OC 发病的 tdAUC 为 0.663,最佳截断值为 13.00 U/ml。轨迹分析显示,CA125 和 CA125 均与 OC 发病风险的增加显著相关[风险比(95%CI):2.00(1.47-2.73)和 3.06(2.25-4.16)]和死亡率[风险比(95%CI):1.58(1.13-2.21)和 2.60(1.87-3.62)]与 CA125 相比。轨迹特异性进展分析确定相对速度为 CA125 和 CA125 的最佳进展指标(tdAUCs:0.712 和 0.767),最佳截断值分别为每年 9%和 32%。阳性进展与 OC 发病风险的显著增加相关[风险比(95%CI):7.26(4.00-13.17)和 3.83(1.96-7.51)CA125 和 CA125]和死亡率[风险比(95%CI):8.03(4.15-15.56)和 6.04(2.78-13.14)]与阴性进展相比。与传统筛查方法相比,优化后的风险分层 CA125 筛查,将 CA125 轨迹、轨迹特异性进展和 TVU 相结合,降低了 3.6%的 OC 漏诊率,提高了准确性。
将 CA125 轨迹和轨迹特异性进展纳入筛查方案可提高 OC 高危人群的识别能力。建议采用包括这些因素以及 TVU 的优化筛查策略,以提高 OC 筛查的效果。