Machine learning identifies disulfidptosis-related gene signature for pancreatic cancer prognosis and immune infiltration
This study establishes a disulfidptosis-based prognostic model for PC, identifying RPN1 and PML as key biomarkers. These findings provide novel insights into PC prognosis and immune dynamics, supporting the development of targeted diagnostic and therapeutic strategies.
Authors
- Xiaohan Sun
- Yue Pei
- Jiajia Li
- Meijia Cheng
- Jingyan Zhang
- Yingchao Qi
- Hewen Hu
- Yichen Wang
- Yutong Zhou
- Wenkai Li
- Tong Yu
- Yunen Liu
- Wenjing Ma
Institutions
- Shenyang Medical College (CN)
- Liaoning University of Traditional Chinese Medicine (CN)
- Yanshan University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2026-01-27
- DOI
- https://doi.org/10.1007/s12672-026-04463-w
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00