Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder cancer
The GNNs predictive model and responseScore constructed in this study can reflect the immunotherapy response and prognosis of bladder cancer patients. ResponseScore can also reflect features such as tumor microenvironment, antitumor immunity, and natural killer cell function status in bladder cancer. PSMB9 was identified as a significant gene for prognosis. High expression of PSMB9 can inhibit bladder cancer cell migration and proliferation while increasing cell apoptosis.
Authors
- Kaizhou Xie (ORCID: https://orcid.org/0000-0002-2788-4323)
- Shuai Ren (ORCID: https://orcid.org/0000-0001-8714-6894)
- Guangping Zhang (ORCID: https://orcid.org/0000-0002-1620-0221)
- X. Cai (ORCID: https://orcid.org/0000-0001-6655-5736)
- Maodong Ye (ORCID: https://orcid.org/0000-0002-7834-9646)
- Yongjian Lu
- Danni Chen (ORCID: https://orcid.org/0000-0002-6003-8284)
Institutions
- Shantou University (CN)
- First Affiliated Hospital of Shantou University Medical College (CN)
- Shantou University Medical College (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1186/s12967-024-05976-0
- Citations
- 8
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 3.35
Funders
- Shantou University
- Shantou University Medical College