Deciphering context-specific Axitinib escape pathways via multi-omics and explainable machine learning
Axitinib resistance emerges through tissue- and context-specific adaptations. Multi-omics profiling with explainable machine learning reveals distinct survival strategies, underscoring the need for precision re-sensitization approaches tailored to tumor context.
Authors
- Jaspreet Kaur Dhanjal (ORCID: https://orcid.org/0000-0003-4226-3063)
- Samriddhi Gupta
- Savneet Kaur (ORCID: https://orcid.org/0000-0002-9863-2772)
- Khyati Patni
Institutions
- Indraprastha Institute of Information Technology Delhi (IN)
- Indian Institute of Science Education and Research Thiruvananthapuram (IN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1186/s12967-025-07153-3
- Citations
- 1
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 1.52