Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis
This study provided a novel CBI for patients with advanced ovarian cancer through network analyses and machine learning. CBI could serve as a prognostic prediction tool for patients with advanced ovarian cancer, and also as a potential indicator for immunotherapy.
Authors
- Senyi Deng (ORCID: https://orcid.org/0000-0002-3278-3375)
- Jiandong Mei (ORCID: https://orcid.org/0000-0003-0842-5540)
- Shuxiao Ma (ORCID: https://orcid.org/0009-0009-1917-7459)
- Lu Zhou
- Yuan‐I Min (ORCID: https://orcid.org/0000-0003-2470-0004)
- Yi Liu (ORCID: https://orcid.org/0000-0002-0223-5714)
- Chuan Li (ORCID: https://orcid.org/0000-0001-9116-450X)
- Lei Zhu (ORCID: https://orcid.org/0000-0001-9262-482X)
- Chenglin Guo
- Hui Jie (ORCID: https://orcid.org/0000-0002-3705-7866)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1371/journal.pone.0322130
- Citations
- 2
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.40
Funders
- West China Hospital, Sichuan University
- Key Research and Development Program of Sichuan Province