Metabolic heterogeneity and survival outcomes in papillary renal cell carcinoma: insights from multi-datasets and machine learning analyses
This study revealed the heterogeneity of metabolic molecules in KIRP and established a prognostic machine learning model that enhances risk stratification and may optimize chemotherapy strategies in the management of KIRP.
Authors
- Jian Hu (ORCID: https://orcid.org/0000-0002-9494-9828)
- Yiheng Liu (ORCID: https://orcid.org/0000-0002-7778-2368)
- Ke‐Qin Zhang (ORCID: https://orcid.org/0000-0002-7615-6509)
- Gui‐lian Xu (ORCID: https://orcid.org/0000-0002-8816-8769)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Hereditas
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s41065-025-00571-9
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00