A novel signature predicts prognosis in pancreatic cancer based on tumor membrane-associated genes
The MaGPS model, based on bulk RNA-seq, scRNA-seq, and spatial transcriptomics data, effectively evaluated the prognosis of pancreatic cancer and provided valuable insights for better therapeutic targets.
Authors
- Yongqing Ye
- Yunlong Zhong (ORCID: https://orcid.org/0000-0003-3648-6746)
- Ping Wang (ORCID: https://orcid.org/0000-0001-9632-4314)
- Lei Yan (ORCID: https://orcid.org/0000-0001-7075-0438)
- Jun Wu (ORCID: https://orcid.org/0000-0002-3381-2561)
- Zhaowei Ding
Institutions
- Hunan University (CN)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Education Department of Hunan Province (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1016/j.heliyon.2025.e42791
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangzhou Municipal Science and Technology Project