Machine learning-driven dissection of the obesity-ccRCC interface: FCGR2A emerges as a central coordinator of tumor-immune crosstalk
Our study establishes FCGR2A-mediated myeloid reprogramming as a critical interface between metabolic dysfunction and ccRCC progression, serving as both a prognostic biomarker and therapeutic target. This dual-disease modeling paradigm provides actionable insights for precision management of obesity-associated malignancies.
Authors
- Wenjie Liu (ORCID: https://orcid.org/0000-0003-3220-5820)
- X. Yin
- Guiying Guo (ORCID: https://orcid.org/0009-0006-4959-2459)
- Zhongyuan He (ORCID: https://orcid.org/0000-0002-6194-0720)
- Shuai Liu (ORCID: https://orcid.org/0000-0001-6233-4055)
- Zheng Wang (ORCID: https://orcid.org/0000-0003-4519-0795)
- Dawang Zheng
- Shi-Ying Lai (ORCID: https://orcid.org/0009-0009-2124-8498)
Institutions
- Harbin Medical University (CN)
- Qujiang People's Hospital (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
- Qiqihar Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-22
- DOI
- https://doi.org/10.3389/fonc.2025.1598007
- Primary Topic
- Receptor Mechanisms and Signaling
- Type
- article
- Field-Weighted Citation Impact
- 0.00