Belzutifan: A Breakthrough in Targeted Therapy for ccRCC
Research Article
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Belzutifan: A Breakthrough in Targeted Therapy for ccRCC

Gejia Tian 1*
1 Johns Hopkins University
*Corresponding author: Gtian2@jh.edu
Published on 9 September 2025
Journal Cover
TNS Vol.135
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-371-0
ISBN (Online): 978-1-80590-372-7
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Abstract

Belzutifan, a novel orally bioavailable small-molecule inhibitor of hypoxia-inducible factor 2α (HIF-2α), represents a mechanistically distinct and clinically promising therapy for clear cell renal cell carcinoma (ccRCC), particularly in patients with von Hippel–Lindau (VHL) disease. By selectively disrupting the VHL–HIF–2α signaling axis, Belzutifan effectively inhibits hypoxia-driven transcriptional programs that promote tumor progression. Unlike traditional therapies such as VEGF inhibitors and immune checkpoint blockade, Belzutifan directly targets a core oncogenic pathway unique to VHL-deficient tumors. Clinical trials have demonstrated encouraging response rates and manageable safety profiles, both as monotherapy and in combination with agents like cabozantinib. However, emerging resistance, limited efficacy in pre-treated populations, and concerns about long-term toxicity highlight areas that require further investigation. This article reviews the underlying molecular mechanism, clinical trial data, therapeutic advantages, and key limitations of Belzutifan, while also exploring its future potential in broader contexts of renal cell carcinoma and in rational combination strategies.

Keywords:

Belzutifan, HIF-2α inhibition, clear cell renal cell carcinoma, VHL disease, targeted therapy

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Tian,G. (2025). Belzutifan: A Breakthrough in Targeted Therapy for ccRCC. Theoretical and Natural Science,135,1-6.

References

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Cite this article

Tian,G. (2025). Belzutifan: A Breakthrough in Targeted Therapy for ccRCC. Theoretical and Natural Science,135,1-6.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

ISBN: 978-1-80590-371-0(Print) / 978-1-80590-372-7(Online)
Editor: Alan Wang
Conference date: 17 October 2025
Series: Theoretical and Natural Science
Volume number: Vol.135
ISSN: 2753-8818(Print) / 2753-8826(Online)