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Performance of Liquid Biopsy‐Based Multi‐Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE‐I)
Author(s) -
Feng Zheng,
Ge Huijuan,
Wang Jingshu,
Wang Yanan,
Sun Xiaoran,
Yang Bo,
Cao Siyu,
Quan Chenlian,
Guo Qinhao,
Han Yusheng,
Duan Feidie,
liu Fang,
Zhao Jing,
Wang Guoqiang,
Zhang Yuzi,
Cai Shangli,
Wu Xiaohua,
Wen Hao
Publication year - 2025
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202401760
Subject(s) - liquid biopsy , methylation , omics , dna methylation , biopsy , cpg site , cancer , medicine , bioinformatics , oncology , biomarker , computational biology , biology , pathology , gene , genetics , gene expression
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.

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