Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study
A five-gene signature is established robustly and has utility in diagnostics and therapeutic targeting. These findings lay a foundation for developing diagnostic tests and targeted therapies, potentially offering a pathway toward improved outcomes in pancreatic cancer management.
Authors
- Zhougui Ling
- Bingbing Wan (ORCID: https://orcid.org/0000-0001-8629-0616)
- Yangyang Tang
- Xiaoyan Wang (ORCID: https://orcid.org/0000-0002-8229-0798)
- Wei Jia (ORCID: https://orcid.org/0000-0003-1248-4519)
- Pengcheng Yu (ORCID: https://orcid.org/0000-0003-3645-0639)
Institutions
- Shanghai Jiao Tong University (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-01-09
- DOI
- https://doi.org/10.3389/fphar.2024.1539120
- Citations
- 1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- Shanghai Jiao Tong University
- National Key Research and Development Program of China