Shiyong Li, Shuaipeng Geng, Yan Chen, Qingqi Ren, Yi Luan, Weijie Liang, Yinyin Chang, Lijuan Zhang, Dandan Zhu, Wei Wu, Yingying Zhang, Linfeng Zhang, Yan Wang, Guolin Zhong, Bing Wei, Jie Ma, Yu Chang, Xinhua Wang, Zhiming Li, Chaohui Duan, Guanghui Long, Mao Mao
{"title":"一种无创多组学方法在回顾性和前瞻性队列中用于多种癌症早期检测的临床验证。","authors":"Shiyong Li, Shuaipeng Geng, Yan Chen, Qingqi Ren, Yi Luan, Weijie Liang, Yinyin Chang, Lijuan Zhang, Dandan Zhu, Wei Wu, Yingying Zhang, Linfeng Zhang, Yan Wang, Guolin Zhong, Bing Wei, Jie Ma, Yu Chang, Xinhua Wang, Zhiming Li, Chaohui Duan, Guanghui Long, Mao Mao","doi":"10.1016/j.jmoldx.2025.04.001","DOIUrl":null,"url":null,"abstract":"<p><p>Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogeneity. Here, a blood-based multi-omics test named SeekInCare for MCED is reported. SeekInCare incorporates multiple genomic and epigenetic hallmarks, including copy number aberration, fragment size, end motif, and oncogenic virus, via shallow whole-genome sequencing from cell-free DNA, alongside seven protein tumor markers in one tube of blood. Artificial intelligence algorithms were developed to distinguish patients with cancer from individuals without cancer and to predict the likely affected organ. The retrospective study included 617 patients with cancer and 580 individuals without cancer, covering 27 cancer types. SeekInCare achieved 60.0% sensitivity at 98.3% specificity, resulting in an area under the curve of 0.899. Sensitivities were 37.7%, 50.4%, 66.7%, and 78.1% in patients with stage I, II, III, and IV disease, respectively. Additionally, SeekInCare was evaluated in a prospective cohort consisting of 1203 individuals who received the test as a laboratory-developed test (median follow-up time, 753 days) in which it achieved 70.0% sensitivity at 95.2% specificity. The performances of SeekInCare in both retrospective and prospective studies demonstrate that SeekInCare is a blood-based MCED test, showing comparable performance to the other tests currently in development. These findings support its potential clinical utility as a cancer screening test in high-risk populations.</p>","PeriodicalId":50128,"journal":{"name":"Journal of Molecular Diagnostics","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.\",\"authors\":\"Shiyong Li, Shuaipeng Geng, Yan Chen, Qingqi Ren, Yi Luan, Weijie Liang, Yinyin Chang, Lijuan Zhang, Dandan Zhu, Wei Wu, Yingying Zhang, Linfeng Zhang, Yan Wang, Guolin Zhong, Bing Wei, Jie Ma, Yu Chang, Xinhua Wang, Zhiming Li, Chaohui Duan, Guanghui Long, Mao Mao\",\"doi\":\"10.1016/j.jmoldx.2025.04.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogeneity. Here, a blood-based multi-omics test named SeekInCare for MCED is reported. SeekInCare incorporates multiple genomic and epigenetic hallmarks, including copy number aberration, fragment size, end motif, and oncogenic virus, via shallow whole-genome sequencing from cell-free DNA, alongside seven protein tumor markers in one tube of blood. Artificial intelligence algorithms were developed to distinguish patients with cancer from individuals without cancer and to predict the likely affected organ. The retrospective study included 617 patients with cancer and 580 individuals without cancer, covering 27 cancer types. SeekInCare achieved 60.0% sensitivity at 98.3% specificity, resulting in an area under the curve of 0.899. Sensitivities were 37.7%, 50.4%, 66.7%, and 78.1% in patients with stage I, II, III, and IV disease, respectively. Additionally, SeekInCare was evaluated in a prospective cohort consisting of 1203 individuals who received the test as a laboratory-developed test (median follow-up time, 753 days) in which it achieved 70.0% sensitivity at 95.2% specificity. The performances of SeekInCare in both retrospective and prospective studies demonstrate that SeekInCare is a blood-based MCED test, showing comparable performance to the other tests currently in development. These findings support its potential clinical utility as a cancer screening test in high-risk populations.</p>\",\"PeriodicalId\":50128,\"journal\":{\"name\":\"Journal of Molecular Diagnostics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Diagnostics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jmoldx.2025.04.001\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Diagnostics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jmoldx.2025.04.001","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.
Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogeneity. Here, a blood-based multi-omics test named SeekInCare for MCED is reported. SeekInCare incorporates multiple genomic and epigenetic hallmarks, including copy number aberration, fragment size, end motif, and oncogenic virus, via shallow whole-genome sequencing from cell-free DNA, alongside seven protein tumor markers in one tube of blood. Artificial intelligence algorithms were developed to distinguish patients with cancer from individuals without cancer and to predict the likely affected organ. The retrospective study included 617 patients with cancer and 580 individuals without cancer, covering 27 cancer types. SeekInCare achieved 60.0% sensitivity at 98.3% specificity, resulting in an area under the curve of 0.899. Sensitivities were 37.7%, 50.4%, 66.7%, and 78.1% in patients with stage I, II, III, and IV disease, respectively. Additionally, SeekInCare was evaluated in a prospective cohort consisting of 1203 individuals who received the test as a laboratory-developed test (median follow-up time, 753 days) in which it achieved 70.0% sensitivity at 95.2% specificity. The performances of SeekInCare in both retrospective and prospective studies demonstrate that SeekInCare is a blood-based MCED test, showing comparable performance to the other tests currently in development. These findings support its potential clinical utility as a cancer screening test in high-risk populations.
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.