Molecular clustering and prognostic features based on integrated databases predict survival and immune status in patients with gastric cancer
Our research establishes a robust molecular signature for predicting survival of patients with GC and characterizing the tumor immune microenvironment. It aims not only to establish a prognostic model, but also to explore immunobiological functions. The identified prognostic features and key genes (CTHRC1, CST6, and AKR1B1) offer potential as biomarkers and therapeutic targets, potentially guiding more effective personalized treatment strategies for patients with GC.
Authors
- Yin Shi (ORCID: https://orcid.org/0000-0003-3858-8500)
- Katrina Jia
- Hao Song (ORCID: https://orcid.org/0000-0003-2197-1562)
- Tianlong Zhang (ORCID: https://orcid.org/0000-0002-1207-6032)
- Jiaying Zhou (ORCID: https://orcid.org/0000-0003-1921-7392)
- Jiahao Ge (ORCID: https://orcid.org/0009-0005-2074-2719)
- Weiwei Yuan (ORCID: https://orcid.org/0009-0004-2686-6918)
Institutions
- Zhejiang International Studies University (CN)
- Anhui Medical University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Maternity and Children's Hospital (SA)
- Jinhua Academy of Agricultural Sciences (CN)
- Guang Fu Hospital (CN)
- Shanghai Traditional Chinese Medicine Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Jinhua Central Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-04
- DOI
- https://doi.org/10.3389/fonc.2025.1642911
- Citations
- 1
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.01