Circulating Tumor DNA in Tracking Minimal Residual Disease and Recurrence in Ovarian Cancer: A Retrospective Cohort
PURPOSE: After radical treatment for ovarian cancer, the presence of minimal residual disease (MRD) remains a major obstacle to achieving cure. We explored the prognostic and translational value of MRD assessment by tracking circulating tumor DNA (ctDNA) in blood using the tumor-free approach. METHODS: We retrospectively enrolled 34 ovarian cancer patients who underwent surgical treatment at our hospital, all with available postoperative and serial blood samples. ctDNA-based MRD status was analyzed to evaluate its association with recurrence risk and disease-free survival (DFS). RESULTS: In our study, the longitudinal monitoring of ctDNA showed satisfactory performance, with the sensitivity and specificity were 85% and 92.9%, respectively. 47.06%(16/34) patients had ctDNA-negative status. Patients with ctDNA positive in longitudinal monitoring have significantly worse prognosis and shorter DFS compared to those with ctDNA negative (p < 0.0001, DFS: unreached vs. 14.55 months; HR = 0.11; 95% CI, 0.05 to 0.27). A tumor-informed approach was compared with a tumor-free approach, revealing that when referring to the primary tumor mutation, 30.4% of originally positive samples were corrected to negative during MRD monitoring. CONCLUSION: ctDNA holds potential in predicting recurrence risk in ovarian cancer patients, particularly through longitudinal monitoring.
Authors
- Hongmei Ding (ORCID: https://orcid.org/0000-0003-0805-8322)
- Fangrong Shen
- Fei Meng (ORCID: https://orcid.org/0009-0009-0943-8651)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Sun Y
- J Zhou
- Qingyang Liu
- Youguo Chen
- Chenchen Cheng
- Yuange He
- Yanyu Li
Institutions
- Soochow University (CN)
- Second Affiliated Hospital of Soochow University (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Cancer Investigation
- Published
- 2026-05-22
- DOI
- https://doi.org/10.1080/07357907.2026.2675657
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00