Unveiling prognostic biomarkers and immunotherapeutic insights in prostate cancer through multi-omics and machine learning
We selected a collection of genes relevant to PCa prognosis and immune characteristics, which may serve as potential biomarkers with certain clinical translational value.
Authors
- Yukui Gao (ORCID: https://orcid.org/0009-0009-7527-3031)
- Huarui Tang
- Wenqiang Zhang (ORCID: https://orcid.org/0000-0002-1938-1312)
- Zechen Yan
- Yanping Wang (ORCID: https://orcid.org/0009-0009-9498-2124)
- Yifei Zhang
- Zhenxing Zhang (ORCID: https://orcid.org/0000-0002-4946-0492)
- Jianping Tao (ORCID: https://orcid.org/0000-0001-5511-6834)
- Fawang Xing
Institutions
- First Affiliated Hospital of Zhengzhou University (CN)
- First Affiliated Hospital of Wannan Medical College (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s40001-025-03363-z
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00