Integrative Analysis Combining Machine Learning and Functional Experiments Uncovers ISG15 As a Key Determinant of Cisplatin Resistance in Gastric Cancer
ISG15 functions as a central regulator of cisplatin resistance and tumor progression in GC. The study highlights the effectiveness of integrating machine learning-driven candidate prioritization with functional validation to identify clinically relevant therapeutic targets.
Authors
- Z. Jeffrey Chen
- Jun Zhou (ORCID: https://orcid.org/0009-0008-7533-8926)
- Songhao Hu (ORCID: https://orcid.org/0000-0001-7382-0489)
- Weiwei Wang (ORCID: https://orcid.org/0000-0001-7194-0057)
- Minghui Ma (ORCID: https://orcid.org/0000-0001-8679-2560)
- Aiwen Feng
- CUNCHUAN WANG
- HAIQUAN LING
Institutions
- Jinan University (CN)
- Anhui Medical University (CN)
- Boxing People's Hospital (CN)
- Lishui City People's Hospital (CN)
- Command Hospital Air Force (IN)
- First Affiliated Hospital of Jinan University (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Anticancer Research
- Published
- 2026-03-27
- DOI
- https://doi.org/10.21873/anticanres.18088
- Primary Topic
- interferon and immune responses
- Type
- article
- Field-Weighted Citation Impact
- 0.00