Multi-omics approaches for identifying the PANoptosis signature and prognostic model via a multimachine-learning computational framework for intrahepatic cholangiocarcinoma
The present study identified a precise prognostic and treatment strategy for ICC patients prone to PANoptosis, investigated the molecular mechanisms of PANoptosis in ICC cells, and highlighted the potential clinical relevance of the PANoptosis risk score in predicting prognosis and therapy response. These findings will help guide clinical treatment strategies for ICC.
Authors
- Zhongjun Wu (ORCID: https://orcid.org/0000-0002-1627-0633)
- Yuxin Duan
- Kun-Li Yin
- Yan You (ORCID: https://orcid.org/0000-0002-2703-5794)
- Meiqing Kang
- Haolin Wang (ORCID: https://orcid.org/0000-0002-1735-9525)
- Yanxi Yu
- Rui Liao (ORCID: https://orcid.org/0000-0002-0057-2792)
- Wentao Ye
- Baoyong Zhou (ORCID: https://orcid.org/0000-0002-8022-982X)
- Ziqi Zhang (ORCID: https://orcid.org/0000-0002-1814-0779)
- Tao Rui (ORCID: https://orcid.org/0000-0002-4236-9100)
- Ranning Xu
- Jian Yang (ORCID: https://orcid.org/0000-0001-8170-0727)
- Yanyao Liu
- Zuotian Huang
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Hepatology
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1097/hep.0000000000001352
- Citations
- 6
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 12.04