Development of a relapse-related RiskScore model to predict the drug sensitivity and prognosis for patients with ovarian cancer
This study established a relapse-related RiskScore model based on five prognostic genes (<i>LDHA</i>, <i>NOP58</i>, <i>NMU</i>, <i>KRT19</i>, and <i>RPS23</i>), offering novel insights into the recurrence mechanisms in OC and contributing to the development of individualized treatment strategies.
Authors
- Chengli Dou
- Jiaojiao Fei
- Xuegu Wang
- Shasha Yang (ORCID: https://orcid.org/0000-0002-6646-5332)
- Xiao‐Jing Wang (ORCID: https://orcid.org/0000-0001-8695-7361)
- Xiang Li (ORCID: https://orcid.org/0000-0002-5942-7282)
- Biao Ding (ORCID: https://orcid.org/0000-0003-3431-5214)
- Zhixin Jin
Institutions
- Bengbu Medical College (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-08-11
- DOI
- https://doi.org/10.7717/peerj.19764
- Citations
- 1
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.70