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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
Novel molecular signatures and potential therapeutics in renal cell carcinomas: Insights from a comparative analysis
Aysegul Caliskan1, Ahmet Cenk Andac2, Kazim Yalcin Arga3
1Department of Bioengineering, Marmara University, Istanbul, Turkey; Faculty of Pharmacy, Istinye University, Istanbul, Turkey.
Abstract:
Renal cell carcinomas (RCCs) are among the highest causes of cancer mortality. Although transcriptome profiling studies in the last decade have made significant molecular findings on RCCs, effective diagnosis and treatment strategies have yet to be achieved due to lack of adequate screening and comparative profiling of RCC subtypes. In this study, a comparative analysis was performed on RNA-seq based transcriptome data from each RCC subtype, namely clear cell RCC (KIRC), papillary RCC (KIRP) and kidney chromophobe (KICH), and mutual or subtype-specific reporter biomolecules were identified at RNA, protein, and metabolite levels by the integration of expression profiles with genome-scale biomolecular networks. This approach revealed already-known biomarkers in RCCs as well as novel biomarker candidates and potential therapeutic targets. Our findings also pointed out the incorporation of the molecular mechanisms of KIRC and KIRP, whereas KICH was shown to have distinct molecular signatures. Furthermore, considering the Dipeptidyl Peptidase 4 (DPP4) receptor as a potential therapeutic target specific to KICH, several drug candidates such as ZINC6745464 were identified through virtual screening of ZINC molecules. In this study, we reported valuable data for further experimental and clinical efforts, since the proposed molecules have significant potential for screening and therapeutic purposes in RCCs.
Insights
This study compared RNA sequencing data from kidney cancer subtypes, identifying novel biomarkers and therapeutic targets. Distinct molecular signatures were found for kidney chromophobe (KICH), with DPP4 identified as a potential target.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Renal cell carcinoma (RCC) is a leading cause of cancer mortality, with limited diagnostic and therapeutic strategies.
- Previous transcriptome profiling has yielded molecular insights but lacked comparative analysis across RCC subtypes.
- Effective screening and treatment require a deeper understanding of subtype-specific molecular characteristics.
Purpose of the Study:
- To perform a comparative transcriptome analysis of clear cell RCC (KIRC), papillary RCC (KIRP), and kidney chromophobe (KICH).
- To identify mutual and subtype-specific reporter biomolecules at RNA, protein, and metabolite levels.
- To discover novel biomarker candidates and potential therapeutic targets for RCC subtypes.
Main Methods:
- Comparative analysis of RNA-seq transcriptome data from KIRC, KIRP, and KICH.
- Integration of expression profiles with genome-scale biomolecular networks.
- Virtual screening of drug candidates against identified targets, such as Dipeptidyl Peptidase 4 (DPP4) for KICH.
Main Results:
- Identification of known and novel biomarkers and potential therapeutic targets across RCC subtypes.
- Demonstration of molecular mechanism integration in KIRC and KIRP.
- Distinct molecular signatures identified for KICH, differentiating it from KIRC and KIRP.
- Identification of ZINC6745464 as a potential drug candidate targeting DPP4 in KICH.
Conclusions:
- The study provides valuable data for experimental and clinical research in RCC.
- Identified molecules show significant potential for screening and therapeutic applications in kidney cancer.
- Comparative molecular profiling is crucial for advancing RCC diagnosis and treatment strategies.
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