Abstract Background: Recent studies have demonstrated that blood-based multi-cancer early detection (MCED) approaches may hold promise for identifying asymptomatic cancer patients from general population. However, most studies only exploit a single aspect of cancer hallmarks, which is challenging for the biological reasons as cancer is a heterogenous disease with a wide spectrum of pathological and clinical behaviors. Here we report a multi-omics MCED assay named SeekInCare, a CE-IVD Mark blood test, which incorporates genomic hallmarks: copy number aberrations, fragment size, end motifs and oncogenic viruses via shallow whole genome sequencing from cfDNA, and seven plasma protein tumor markers in 8 ml blood. Methods: SeekInCare was developed using several retrospective cohorts and the method has been described in a publication (DOI: 10.1016/j.jmoldx.2021.06.003) IF: 4.1 Q2. Results: We present the validation in a retrospective cohort consisting of 584 non-cancer individuals and 617 cancer patients covering 27 cancer types. SeekInCare achieved 65.5% sensitivity at 97.9% specificity, resulting in an AUC of 0.936. The sensitivities were 46.9%, 60.0%, 68.9%, 81.8% in stage I, II, III, IV patients. The sensitivities of 10 common cancer types are as the following: breast (46.2%), stomach (46.4%), colorectum (56.5%), gallbladder (60.0%), lung (62.8%), pancreas (64.7%), lymphoma (68.5%), esophagus (70.0%), liver (77.5%), and leukemia (86.7%). These cancer types account for 73.5% of cancer incidence and 81.8% of cancer-related mortality in China. We prospectively evaluated SeekInCare in a real-world cohort consisting of 1203 individuals who received the test as a laboratory developed test (median follow-up time: 753 days) in which it achieved 60.0% sensitivity, 96.1% specificity, 11.5% PPV and 99.7% NPV. Conclusion: The performances of SeekInCare in both retrospective and prospective studies demonstrate that SeekInCare is an effective blood-based MCED test with similar performance as Grail’s Galleri test, which paves the way for clinical utility as a cancer screening test in average-risk populations. Citation Format: Mao Mao, Shiyong Li, Qingqi Ren, Yi Luan, Weijie Liang, Shuaipeng Geng, Dao-Ling Huang, Dandan Zhu, Yinyin Chang, Wei Wu, Yingying Zhang, Linfeng Zhang, Yan Wang, Yumin Feng, Bing Wei, Jie Ma, Chaohui Duan, Guanghui Long. A blood-based multi-omics test for multicancer early detection: Combined retrospective and prospective studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1057.
Read full abstract