{"title":"Performance of Liquid Biopsy-Based Multi-Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE-I).","authors":"Zheng Feng, Huijuan Ge, Jingshu Wang, Yanan Wang, Xiaoran Sun, Bo Yang, Siyu Cao, Chenlian Quan, Qinhao Guo, Yusheng Han, Feidie Duan, Fang Liu, Jing Zhao, Guoqiang Wang, Yuzi Zhang, Shangli Cai, Xiaohua Wu, Hao Wen","doi":"10.1002/advs.202401760","DOIUrl":null,"url":null,"abstract":"<p><p>Liquid biopsy is a promising approach for early detection of gynecological malignancies. In the PERCEIVE-I study, gynecological Cancer cases (n = 249) and age-matched non-cancer controls (n = 249) are randomly divided into training and test sets at a 1:1 ratio. Data derived from multi-omics assays are obtained including a cell-free DNA methylation panel targeting ≈490 000 CpG sites, a mutation panel comprising 168 genes, and eight tumor protein markers. The results showed that the methylation model outperformed the protein and mutation models, demonstrating higher sensitivity (77.2%) while maintaining similar specificity. The multi-omics model combining methylation and protein markers achieved improved sensitivity (81.9%) with a good specificity (96.9%). The sensitivity varied across different stages, ranging from 66.7% to 100%. The model accurately identified the tissue of origin in 72.1% of cases. The superior performance of the methylation model highlights the potential of integrating multi-omics for non-invasive early detection of gynecological malignancies.</p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":" ","pages":"e2401760"},"PeriodicalIF":14.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/advs.202401760","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Liquid biopsy is a promising approach for early detection of gynecological malignancies. In the PERCEIVE-I study, gynecological Cancer cases (n = 249) and age-matched non-cancer controls (n = 249) are randomly divided into training and test sets at a 1:1 ratio. Data derived from multi-omics assays are obtained including a cell-free DNA methylation panel targeting ≈490 000 CpG sites, a mutation panel comprising 168 genes, and eight tumor protein markers. The results showed that the methylation model outperformed the protein and mutation models, demonstrating higher sensitivity (77.2%) while maintaining similar specificity. The multi-omics model combining methylation and protein markers achieved improved sensitivity (81.9%) with a good specificity (96.9%). The sensitivity varied across different stages, ranging from 66.7% to 100%. The model accurately identified the tissue of origin in 72.1% of cases. The superior performance of the methylation model highlights the potential of integrating multi-omics for non-invasive early detection of gynecological malignancies.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.