Machine learning-based cell death marker for predicting prognosis and identifying tumor immune microenvironment in prostate cancer
This study developed an effective prognostic indicator for prostate cancer, PCDI, using machine learning approaches. PCDI reflects the link between aberrant programmed cell death pathways and disease progression and treatment response.
Authors
- Yueshu Cai
- Feng Gao (ORCID: https://orcid.org/0000-0002-4902-7429)
- Yasheng Huang (ORCID: https://orcid.org/0000-0003-0183-6312)
- Bingjun Lu
- Qiqi Yu (ORCID: https://orcid.org/0009-0004-0708-3336)
- Liping He
- Mei Yang (ORCID: https://orcid.org/0000-0003-1741-1853)
- Jie Shen (ORCID: https://orcid.org/0000-0003-1768-8748)
Institutions
- Hangzhou Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e37554
- Citations
- 2
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.84