Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, USA.
The US Oncology Network, Tyler, USA.
Ann Oncol. 2021 Sep;32(9):1167-1177. doi: 10.1016/j.annonc.2021.05.806. Epub 2021 Jun 24.
A multi-cancer early detection (MCED) test used to complement existing screening could increase the number of cancers detected through population screening, potentially improving clinical outcomes. The Circulating Cell-free Genome Atlas study (CCGA; NCT02889978) was a prospective, case-controlled, observational study and demonstrated that a blood-based MCED test utilizing cell-free DNA (cfDNA) sequencing in combination with machine learning could detect cancer signals across multiple cancer types and predict cancer signal origin (CSO) with high accuracy. The objective of this third and final CCGA substudy was to validate an MCED test version further refined for use as a screening tool.
This pre-specified substudy included 4077 participants in an independent validation set (cancer: n = 2823; non-cancer: n = 1254, non-cancer status confirmed at year-one follow-up). Specificity, sensitivity, and CSO prediction accuracy were measured.
Specificity for cancer signal detection was 99.5% [95% confidence interval (CI): 99.0% to 99.8%]. Overall sensitivity for cancer signal detection was 51.5% (49.6% to 53.3%); sensitivity increased with stage [stage I: 16.8% (14.5% to 19.5%), stage II: 40.4% (36.8% to 44.1%), stage III: 77.0% (73.4% to 80.3%), stage IV: 90.1% (87.5% to 92.2%)]. Stage I-III sensitivity was 67.6% (64.4% to 70.6%) in 12 pre-specified cancers that account for approximately two-thirds of annual USA cancer deaths and was 40.7% (38.7% to 42.9%) in all cancers. Cancer signals were detected across >50 cancer types. Overall accuracy of CSO prediction in true positives was 88.7% (87.0% to 90.2%).
In this pre-specified, large-scale, clinical validation substudy, the MCED test demonstrated high specificity and accuracy of CSO prediction and detected cancer signals across a wide diversity of cancers. These results support the feasibility of this blood-based MCED test as a complement to existing single-cancer screening tests.
NCT02889978.
一种用于补充现有筛查的多癌种早期检测(MCED)测试可以通过人群筛查检测到更多的癌症,从而有可能改善临床结局。Circulating Cell-free Genome Atlas 研究(CCGA;NCT02889978)是一项前瞻性、病例对照、观察性研究,表明一种基于血液的 MCED 测试,利用无细胞游离 DNA(cfDNA)测序与机器学习相结合,能够检测多种癌症类型的癌症信号,并能够准确预测癌症信号来源(CSO)。本研究的第三个也是最后一个 CCGA 子研究旨在验证进一步优化的 MCED 测试版本,以作为筛查工具使用。
本预先指定的子研究纳入了独立验证组的 4077 名参与者(癌症:n=2823;非癌症:n=1254,在第一年随访时确认非癌症状态)。评估了检测癌症信号的特异性、敏感性和 CSO 预测准确性。
检测癌症信号的特异性为 99.5%[95%置信区间(CI):99.0%至 99.8%]。检测癌症信号的总敏感性为 51.5%(49.6%至 53.3%);敏感性随分期而增加[I 期:16.8%(14.5%至 19.5%),II 期:40.4%(36.8%至 44.1%),III 期:77.0%(73.4%至 80.3%),IV 期:90.1%(87.5%至 92.2%)]。在约占美国每年癌症死亡人数三分之二的 12 种预先指定的癌症中,I-III 期的敏感性为 67.6%(64.4%至 70.6%),在所有癌症中为 40.7%(38.7%至 42.9%)。在多种癌症中均检测到癌症信号。在真阳性中 CSO 预测的总体准确性为 88.7%(87.0%至 90.2%)。
在这项预先指定的大规模临床验证子研究中,MCED 测试表现出高特异性和 CSO 预测准确性,并能检测到广泛的癌症类型的癌症信号。这些结果支持将这种基于血液的 MCED 测试作为现有单一癌症筛查测试的补充具有可行性。
NCT02889978。