Unravelling key genes and molecular pathways in gastric inflammation-to-cancer transition through causal discovery: implications for early diagnosis and therapy
This study integrates graph neural networks and causal inference to identify critical genes involved in gastric inflammation-cancer progression, providing novel insights into the pathogenesis of gastric cancer and potential biomarkers for validation in future studies.
Authors
- Jinjuan Li (ORCID: https://orcid.org/0000-0002-7033-321X)
- Pengyun Liu (ORCID: https://orcid.org/0009-0001-2874-9131)
- Shisan Bao (ORCID: https://orcid.org/0000-0002-6687-3846)
- Zhen Ren (ORCID: https://orcid.org/0000-0002-2262-4880)
- Xiaochen Li (ORCID: https://orcid.org/0000-0001-7833-8042)
Institutions
- Gansu University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- SAGE Open Medicine
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1177/20503121251380131
- Citations
- 1
- Primary Topic
- Helicobacter pylori-related gastroenterology studies
- Type
- article
- Field-Weighted Citation Impact
- 2.01