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Updated: Mar 17, 2026

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
The prospect of precision therapy for renal cell carcinoma
Chiara Ciccarese1, Matteo Brunelli2, Rodolfo Montironi3
1Medical Oncology, Azienda Ospedaliera Universitaria Integrata, University of Verona, Verona, Italy.
Abstract:
The therapeutic landscape of renal cell carcinoma (RCC) has greatly expanded in the last decade. From being a malignancy orphan of effective therapies, kidney cancer has become today a tumor with several treatment options. Renal cell carcinoma (RCC) is a metabolic disease, being characterized by the dysregulation of metabolic pathways involved in oxygen sensing (VHL/HIF pathway alterations and the subsequent up-regulation of HIF-responsive genes such as VEGF, PDGF, EGF, and glucose transporters GLUT1 and GLUT4, which justify the RCC reliance on aerobic glycolysis), energy sensing (fumarate hydratase-deficient, succinate dehydrogenase-deficient RCC, mutations of HGF/MET pathway resulting in the metabolic Warburg shift marked by RCC increased dependence on aerobic glycolysis and the pentose phosphate shunt, augmented lipogenesis, and reduced AMPK and Krebs cycle activity) and/or nutrient sensing cascade (deregulation of AMPK-TSC1/2-mTOR and PI3K-Akt-mTOR pathways). In this complex scenario it is important to find prognostic and predictive factors that can help in decision making in the treatment of mRCC.
Insights
Renal cell carcinoma (RCC) is a metabolic disease driven by dysregulated metabolic pathways. Identifying prognostic and predictive factors is crucial for effective treatment decisions in metastatic RCC.
Area of Science:
- Oncology
- Metabolic Diseases
- Cancer Biology
Background:
- Renal cell carcinoma (RCC) treatment has evolved significantly, moving from limited options to a broader therapeutic landscape.
- RCC is fundamentally a metabolic disease characterized by dysregulated oxygen, energy, and nutrient sensing pathways.
- Key metabolic alterations include VHL/HIF pathway dysregulation, Warburg effect, and aberrant signaling cascades (e.g., mTOR, AMPK).
Purpose of the Study:
- To highlight the metabolic underpinnings of renal cell carcinoma (RCC).
- To underscore the importance of identifying prognostic and predictive factors in managing metastatic RCC (mRCC).
Main Methods:
- Review of current understanding of RCC metabolic pathways.
- Analysis of key signaling cascades involved in RCC pathogenesis.
- Discussion of the role of metabolic dysregulation in cancer progression.
Main Results:
- RCC exhibits characteristic metabolic dysregulations, including altered oxygen sensing (VHL/HIF), energy sensing (e.g., FH-deficient RCC, MET pathway mutations), and nutrient sensing (mTOR, AMPK pathways).
- These metabolic shifts promote aerobic glycolysis, pentose phosphate shunt activity, and lipogenesis, while reducing Krebs cycle function.
- The identified metabolic characteristics provide a basis for understanding RCC's therapeutic vulnerabilities.
Conclusions:
- Understanding the metabolic complexity of RCC is essential for advancing treatment strategies.
- Prognostic and predictive factors related to these metabolic pathways are critical for optimizing patient management in metastatic RCC.
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