Development and Validation of a Novel Plasma Metabolomic Signature for the Detection of Renal Cell Carcinoma
This study identified metabolic alterations in RCC and developed a promising AI-based plasma metabolic model with potential clinical application for RCC diagnosis.
Authors
- Xiaowei Tang (ORCID: https://orcid.org/0009-0007-7375-9885)
- Yang Zou (ORCID: https://orcid.org/0000-0002-1320-004X)
- Heng Guo (ORCID: https://orcid.org/0000-0002-5252-5015)
- Haixia Li (ORCID: https://orcid.org/0000-0003-0778-4322)
- Yanfei Yu
- Ye Tian (ORCID: https://orcid.org/0009-0004-1945-4229)
- Yuxin Yin (ORCID: https://orcid.org/0000-0003-4102-0043)
- Yuyao Yuan (ORCID: https://orcid.org/0000-0002-8893-0696)
- Guangxi Wang (ORCID: https://orcid.org/0000-0002-4884-2990)
- Huajie Song
- Shiming He (ORCID: https://orcid.org/0000-0002-7697-9337)
- Xuesong Li (ORCID: https://orcid.org/0000-0002-7030-0856)
- Cong Huang (ORCID: https://orcid.org/0000-0002-1119-431X)
- Liqun Zhou (ORCID: https://orcid.org/0000-0003-2795-9038)
- Chunhua Chi
- Wenzhi Gao (ORCID: https://orcid.org/0000-0002-5944-017X)
- Aimei Dong (ORCID: https://orcid.org/0000-0003-3743-7479)
- Aixiang Wang
Institutions
- King University (US)
- Capital Medical University (CN)
- Peking University (CN)
- Beijing Hospital (CN)
- Peking University Shenzhen Hospital (CN)
- Peking University First Hospital (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- European Urology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.eururo.2025.09.4148
- Citations
- 3
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.42