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Updated: Sep 20, 2025

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Papillary renal cell carcinoma: current and controversial issues.
Silvia Angori1, João Lobo2,3,4, Holger Moch1,5
1Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Papillary renal cell carcinoma (pRCC) classification is evolving with new tumor entities. Understanding molecular complexity is key for improved diagnosis and targeted treatments in pRCC.
Area of Science:
- Oncology
- Renal Cell Carcinoma Research
- Molecular Pathology
Background:
- Papillary renal cell carcinoma (pRCC) is the second most common subtype of renal cell carcinoma (RCC), accounting for 15-20% of all cases.
- The traditional classification of pRCC into type 1 and type 2, established 25 years ago, is being challenged by recent discoveries.
- Novel tumor entities and a molecularly defined classification system are emerging for pRCC.
Purpose of the Study:
- To review recent studies on the molecular complexity of pRCC.
- To discuss the evolving differential diagnosis of pRCC in light of new findings.
- To highlight the importance of understanding molecular aberrations for future pRCC classification and treatment.
Main Methods:
- Literature review of recent studies on pRCC.
- Analysis of novel tumor entities described in the 2022 WHO classification.
- Examination of the molecular background of emerging pRCC subtypes.
Main Results:
- New tumor entities like biphasic hyalinizing psammomatous RCC and papillary renal neoplasm with reversed polarity are recognized.
- The 2022 WHO classification provides a new perspective on the molecular basis of pRCC.
- Immune checkpoint inhibitors and tyrosine kinase inhibitors are now standard first-line treatments for advanced pRCC.
Conclusions:
- A deeper understanding of molecular aberrations in new pRCC subtypes is crucial.
- Improved classification of pRCC patients may result from correlating molecular data with new subtypes.
- Potential predictive biomarkers for pRCC subgroups could be identified through further research.
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