PathNetDRP: a novel biomarker discovery framework using pathway and protein–protein interaction networks for immune checkpoint inhibitor response prediction
The biomarkers identified by PathNetDRP demonstrated robust predictive performance across cross-validation and independent validation datasets, suggesting their potential utility in clinical applications. Furthermore, enrichment analysis highlighted key immune-related pathways, providing a deeper understanding of their role in ICI response regulation. While these findings underscore the promise of PathNetDRP, future work will explore the integration of additional predictive features, such as tumor mutational burden and microsatellite instability, to further refine its applicability.
Authors
- Jaegyoon Ahn (ORCID: https://orcid.org/0000-0002-7020-7002)
- Dohee Lee (ORCID: https://orcid.org/0000-0001-7162-9592)
- Jonghwan Choi (ORCID: https://orcid.org/0000-0002-8429-4135)
Institutions
- Incheon National University (KR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1186/s12859-025-06125-0
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion