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The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
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A genomic algorithm for the molecular classification of common renal cortical neoplasms: development and validation
Banumathy Gowrishankar1, Christopher G Przybycin2, Charles Ma1
1Cancer Genetics, Inc., Rutherford, New Jersey.
The Journal of Urology
|December 16, 2014
Summary
This study developed a genomic algorithm to accurately classify renal neoplasms, distinguishing between benign oncocytoma and malignant renal cell carcinoma. The algorithm achieved high diagnostic sensitivity and specificity, aiding in clinical diagnosis.
Area of Science:
- Genitourinary pathology
- Genomic medicine
- Oncology
Background:
- Histopathological classification of renal neoplasms can be challenging, particularly differentiating oncocytoma from chromophobe renal cell carcinoma.
- Accurate classification is crucial for effective treatment planning in patients with renal masses.
Purpose of the Study:
- To develop and validate a genomic alteration-based algorithm for classifying common renal neoplasms.
- To improve the diagnostic accuracy of renal tumor classification.
Main Methods:
- A classification algorithm was developed using TCGA renal cell carcinoma copy number profiles and literature data.
- Targeted array comparative genomic hybridization and fluorescence in situ hybridization were used to validate the algorithm on 191 surgically resected renal neoplasms.
Main Results:
- The optimal algorithm included 15 genomic markers, identifying specific losses and gains.
- The algorithm correctly classified 93% of clear cell, 91% of papillary, and 97% of chromophobe renal cell carcinomas.
- It also correctly classified 33 of 36 oncocytoma specimens, achieving 93% diagnostic sensitivity and 97% specificity.
Conclusions:
- Genome-based molecular classification can serve as an ancillary tool in clinical diagnostics.
- This approach assists in the histological classification of common renal neoplasms, improving diagnostic confidence.
