Machine learning-driven prognostic model based on sphingolipid-related gene signature in pancreatic cancer: development and validation
The sphingolipid-based model accurately predicts pancreatic cancer survival and suggests sphingolipids promote tumor progression by mediating immune-suppressive microenvironments, aiding prognostic prediction and personalized treatment.
Authors
- Hailin Jiang (ORCID: https://orcid.org/0000-0002-5597-8431)
- Wei Bin Fang (ORCID: https://orcid.org/0000-0002-9019-3322)
- Keping Xie (ORCID: https://orcid.org/0000-0001-7887-9586)
- Qi Zou (ORCID: https://orcid.org/0000-0002-8154-9382)
- Jie He (ORCID: https://orcid.org/0000-0001-5001-664X)
- Qian Peng (ORCID: https://orcid.org/0000-0002-2529-5867)
- Qihui Sun
Institutions
- Third Affiliated Hospital of Southern Medical University (CN)
- General Hospital of Guangzhou Military Command (CN)
- Southern Command Hospital (IN)
- Guangzhou First People's Hospital (CN)
- South China University of Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.21037/tcr-24-1893
- Citations
- 2
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 1.61