Intelligent identification and targeted intervention of GRP75-caused drug resistant hepatocellular carcinoma, a study based on radiomics, machine learning, and molecular pharmacology
This study established an AI-based radiomics system for identifying HCC patients with poor prognosis associated with high expression of GRP75, and revealed a novel therapeutic approach utilizing the TCM monomer baicalin to reverse multi-drug resistance through GRP75 targeting, further clarifying its mechanism.
Authors
- Jianguo G. Zhu (ORCID: https://orcid.org/0000-0002-9763-4047)
- Yan Gao (ORCID: https://orcid.org/0009-0007-2701-2115)
- Qinliang Mo
- Ziyi Wang (ORCID: https://orcid.org/0000-0002-9604-0335)
- Zhendong Wang
- Chunxiao Zhou
- Chengwu Tang
- Sha Liu
- Yue Ma
- Xinru Du
- Yuan Li
- Yan Wang
- Hongquan Zhang
Institutions
- Huzhou Normal University (CN)
- Suzhou Municipal Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Third People's Hospital of Huzhou (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2026-02-19
- DOI
- https://doi.org/10.1097/js9.0000000000004913
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00