Longitudinal prediction of drug response in high-grade serous ovarian cancer organoid cultures aligning with clinical responses
This study underscores the clinical significance of organoid models in predicting drug resistance and therapeutic response. These models demonstrated their utility in screening novel treatments, such as Peptidylprolyl Cis/Trans Isomerase, NIMA-Interacting 1 (Pin1) inhibitors, which show potential in overcoming resistance to standard ovarian cancer therapies. The organoid platform offers a powerful tool for advancing personalized treatment approaches, with the capability to guide therapeutic decisions and optimize patient outcomes.
Authors
- Vincenzo Canzonieri (ORCID: https://orcid.org/0000-0001-6010-0976)
- Isabella Caligiuri (ORCID: https://orcid.org/0000-0002-4355-5597)
- Flavio Rizzolio (ORCID: https://orcid.org/0000-0002-3400-4363)
- Antonino Ditto (ORCID: https://orcid.org/0000-0002-5684-8225)
- Michele Bartoletti (ORCID: https://orcid.org/0000-0002-9631-5693)
- Antonio Palumbo (ORCID: https://orcid.org/0000-0003-4588-1772)
- Tommaso Occhiali (ORCID: https://orcid.org/0000-0002-0316-1008)
- Tiziana Perin (ORCID: https://orcid.org/0000-0002-9823-0167)
- Enrico Cavarzerani (ORCID: https://orcid.org/0000-0001-9322-0878)
- Giuseppe Corona (ORCID: https://orcid.org/0000-0003-3619-7709)
Institutions
- Ca' Foscari University of Venice (IT)
- Centro di Riferimento Oncologico (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1016/j.jare.2025.08.009
- Citations
- 1
- Primary Topic
- Cancer Cells and Metastasis
- Type
- article
- Field-Weighted Citation Impact
- 1.05