Performance of Liquid Biopsy‐Based Multi‐Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE‐I)

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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Publication Details

Journal
Advanced Science
Published
2025-04-03
DOI
https://doi.org/10.1002/advs.202401760
Citations
2
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
3.40

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article

Performance of Liquid Biopsy‐Based Multi‐Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE‐I)

Yuzi Zhang, Fang Liu, Chenlian Quan, Siyu Cao et al.
2 citations
Advanced Science
Ovarian cancer diagnosis and treatment
3.40
article

Performance of Liquid Biopsy‐Based Multi‐Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE‐I)

Yuzi Zhang, Fang Liu, Chenlian Quan, Siyu Cao, Feidie Duan, Jing Zhao, Qinhao Guo, Huijuan Ge, Jingshu Wang, Guoqiang Wang, Yanan Wang, Bo Yang, Zheng Feng, Hao Wen, Xiaoran Sun, Xiaohua Wu, Yusheng Han, Shangli Cai
article en
2 citations

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.

Advanced ScienceVol. 12(20)
Shanghai Medical College of Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Burning Rock Biotech (China) (CN)
Natural Science Foundation of Shanghai
Good health and well-being
Openalex Percentile: Top 9%
Ovarian cancer diagnosis and treatment
3.40
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