Machine learning-based identification of exosome-related biomarkers and drugs prediction in nasopharyngeal carcinoma
This study identifies five exosome-related key genes, utilizing machine learning approaches to develop a diagnostic model and uncover potential drug targets for NPC. These findings offer novel perspectives for both the diagnosis and therapeutic development of NPC.
Authors
- Chongchang Zhou (ORCID: https://orcid.org/0000-0002-8728-6819)
- Yi Shen (ORCID: https://orcid.org/0000-0001-7973-4848)
- Zhengyu Wei (ORCID: https://orcid.org/0000-0002-0001-1231)
- Guoli Wang (ORCID: https://orcid.org/0000-0001-9689-582X)
- Yaowen Wang (ORCID: https://orcid.org/0000-0003-1816-4436)
- Yanghao Hu
- Yuna Zhang (ORCID: https://orcid.org/0000-0003-3083-7752)
Institutions
- Ningbo University (CN)
- Ningbo Medical Center Lihuili Hospital (CN)
- Ningbo University Affiliated Hospital (CN)
- Ningbo First Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1007/s12672-025-02962-w
- Citations
- 2
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Natural Science Foundation of Ningbo