Circulating proteins and metabolites panel for noninvasive preoperative diagnosis of epithelial ovarian cancer
Our findings provide novel insights into the EOC metabolic and protein landscape. We developed and validated a plasma classifier demonstrating high sensitivity and specificity, which effectively distinguishes EOC patients from non-OC individuals. This classifier could enhance preoperative diagnostic accuracy and aid in differential diagnosis.
Authors
- Qiong Wu (ORCID: https://orcid.org/0000-0002-6063-0800)
- Shuzhong Yao (ORCID: https://orcid.org/0000-0002-5145-5705)
- Xueyuan Zhao
- Chunyu Zhang (ORCID: https://orcid.org/0009-0001-5626-0528)
- Chaoyun Pan (ORCID: https://orcid.org/0000-0002-4255-9318)
- Weijia Wen (ORCID: https://orcid.org/0000-0003-3784-7494)
- Linna Chen
- Yuan Li (ORCID: https://orcid.org/0000-0002-6245-9437)
- Caixia Shao
- Yan Jia (ORCID: https://orcid.org/0000-0002-0841-5097)
- Yan Liao
Institutions
- Sun Yat-sen University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1186/s12916-025-04341-2
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province