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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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Proteomic approaches for characterizing renal cell carcinoma
1Department of Pathology, The Johns Hopkins University, Baltimore, MD 21231 USA.
Clinical Proteomics
|August 4, 2020
Summary
Proteomics offers new ways to understand kidney cancer (renal cell carcinoma) by analyzing proteins in patient samples. This approach can help find better diagnostics and treatments for this common cancer.
Area of Science:
- Oncology
- Proteomics
- Biochemistry
Background:
- Renal cell carcinoma is a common cancer with diverse subtypes.
- Genomic and transcriptomic studies have advanced understanding, but curative treatments remain elusive.
- Proteomic analysis provides direct insights into disease-driving molecular mechanisms.
Purpose of the Study:
- To review proteomic studies on renal cell carcinoma.
- To highlight proteomic approaches for analyzing patient samples (tissue, blood, urine).
- To discuss the role of proteomics in addressing clinical needs and advancing renal cell carcinoma research.
Main Methods:
- Literature review of studies utilizing proteomic technologies.
- Characterization of proteomic approaches applied to renal cell carcinoma.
- Analysis of proteomic data in the context of renal cell carcinoma biology.
Main Results:
- Proteomic methodologies detect and quantify protein profiles linked to renal cell carcinoma.
- Studies have characterized proteomic signatures in tissue, blood, and urine.
- Emerging proteomic approaches show potential for diagnostics and therapeutics.
Conclusions:
- Proteomics is crucial for understanding the functional aspects of renal cell carcinoma pathobiology.
- Protein profiles have significant potential applications in diagnostics and patient stratification.
- Proteomics can guide the identification of novel therapeutic targets for renal cell carcinoma.
Keywords:
Protein characterizationProteomicsRenal cell carcinomaSerum/plasma profilingTissue profilingUrine profiling
