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.
Authors
- Yuzi Zhang (ORCID: https://orcid.org/0000-0001-7999-093X)
- Fang Liu (ORCID: https://orcid.org/0000-0002-2913-6580)
- Chenlian Quan (ORCID: https://orcid.org/0009-0001-3138-5682)
- Siyu Cao (ORCID: https://orcid.org/0000-0002-4886-7071)
- Feidie Duan
- Jing Zhao (ORCID: https://orcid.org/0000-0002-9583-9284)
- Qinhao Guo (ORCID: https://orcid.org/0000-0003-4661-481X)
- Huijuan Ge (ORCID: https://orcid.org/0000-0003-1059-4212)
- Jingshu Wang (ORCID: https://orcid.org/0000-0002-1968-6888)
- Guoqiang Wang (ORCID: https://orcid.org/0000-0003-3224-3261)
- Yanan Wang (ORCID: https://orcid.org/0000-0001-7401-047X)
- Bo Yang (ORCID: https://orcid.org/0000-0002-2069-3305)
- Zheng Feng
- Hao Wen (ORCID: https://orcid.org/0000-0002-9587-8742)
- Xiaoran Sun (ORCID: https://orcid.org/0000-0002-5892-4471)
- Xiaohua Wu (ORCID: https://orcid.org/0000-0002-2271-2514)
- Yusheng Han
- Shangli Cai
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Burning Rock Biotech (China) (CN)
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
Funders
- Natural Science Foundation of Shanghai