Dynamic changes of the immune microenvironment in ovarian cancer following neoadjuvant chemotherapy
Standard treatment for advanced ovarian cancer involves initial surgery followed by platinum-based chemotherapy. Although most patients are sensitive, most relapses occur at a later stage, highlighting the urgent need to understand the tumour microenvironment following neoadjuvant chemotherapy (NACT). To explore the mechanisms underlying chemotherapy resistance, we analysed published single-cell RNA sequencing (scRNA-seq) data from patients with high-grade serous ovarian cancer and performed several in vitro and in vivo experiments to investigate the role of prostaglandins in immunosuppressive microenvironment formation. Prostaglandin-mediated immunosuppressive microenvironment formation was a critical contributor to chemotherapy resistance following cisplatin treatment. Mechanistically, cisplatin-treated ovarian cancer cells induced the formation of myeloid-derived suppressor cells (MDSCs), which inhibited the cytotoxicity of CD8<sup>+</sup>T cells. Combination therapy with cisplatin and a prostaglandin-specific inhibitor restored CD8<sup>+</sup>T cell function and significantly improved the therapeutic efficacy compared with cisplatin monotherapy. Targeting prostaglandins may be a promising therapeutic strategy for overcoming chemotherapy resistance in ovarian cancer.
Authors
- Ruoyao Zou
- S. ‐S. Wang
- Yi Jin (ORCID: https://orcid.org/0000-0003-4335-6691)
- Jinyi Tong (ORCID: https://orcid.org/0000-0003-2576-8764)
- Fei Lv (ORCID: https://orcid.org/0000-0003-4409-6676)
- Lijun Meng
- Mingjie Wu
Institutions
- Zhejiang Chinese Medical University (CN)
- Westlake University (CN)
- Obstetrics and Gynecology Hospital of Fudan University (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- Cell Death Discovery
- Published
- 2026-03-23
- DOI
- https://doi.org/10.1038/s41420-026-03070-6
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00