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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
Genomic Fabrics of the Excretory System's Functional Pathways Remodeled in Clear Cell Renal Cell Carcinoma
Dumitru Andrei Iacobas1, Ehiguese Alade Obiomon1, Sanda Iacobas2
1Personalized Genomics Laboratory, Undergraduate Medical Academy, Prairie View A&M University, Prairie View, TX 77446, USA.
Abstract:
Clear cell renal cell carcinoma (ccRCC) is the most frequent form of kidney cancer. Metastatic stages of ccRCC reduce the five-year survival rate to 15%. In this report, we analyze the ccRCC-induced remodeling of the five KEGG-constructed excretory functional pathways in a surgically removed right kidney and its metastasis in the chest wall from the perspective of the Genomic Fabric Paradigm (GFP). The GFP characterizes every single gene in each region by these independent variables: the average expression level (AVE), relative expression variability (REV), and expression correlation (COR) with each other gene. While the traditional approach is limited to only AVE analysis, the novel REV analysis identifies the genes whose correct expression level is critical for cell survival and proliferation. The COR analysis determines the real gene networks responsible for functional pathways. The analyses covered the pathways for aldosterone-regulated sodium reabsorption, collecting duct acid secretion, endocrine and other factor-regulated sodium reabsorption, proximal tubule bicarbonate reclamation, and vasopressin-regulated water reabsorption. The present study confirms the conclusion of our previously published articles on prostate and kidney cancers that even equally graded cancer nodules from the same tumor have different transcriptomic topologies. Therefore, the personalization of anti-cancer therapy should go beyond the individual, to his/her major cancer nodules.
Insights
Clear cell renal cell carcinoma (ccRCC) exhibits distinct genomic alterations across different tumor nodules. Personalized anti-cancer therapies must account for this intra-tumor heterogeneity for improved patient outcomes.
Area of Science:
- Oncology
- Genomics
- Systems Biology
Background:
- Clear cell renal cell carcinoma (ccRCC) is the predominant kidney cancer subtype.
- Metastatic ccRCC significantly lowers the five-year survival rate to 15%.
Purpose of the Study:
- To analyze ccRCC-induced remodeling of excretory functional pathways using the Genomic Fabric Paradigm (GFP).
- To investigate gene expression variability (REV) and correlation (COR) beyond average expression (AVE).
Main Methods:
- Application of the Genomic Fabric Paradigm (GFP) to analyze gene expression in primary ccRCC and its metastasis.
- Assessment of Average Expression (AVE), Relative Expression Variability (REV), and Expression Correlation (COR) for genes within five KEGG excretory pathways.
- Comparative analysis of transcriptomic topologies between primary tumors and metastatic sites.
Main Results:
- ccRCC significantly alters gene expression profiles within key excretory pathways.
- Novel REV and COR analyses reveal critical genes and networks involved in ccRCC pathogenesis.
- Transcriptomic analysis confirmed significant differences in gene expression patterns even between nodules of the same tumor.
Conclusions:
- Genomic Fabric Paradigm (GFP) offers a comprehensive approach to understanding cancer transcriptomics.
- Therapeutic strategies for ccRCC should consider the unique transcriptomic landscape of individual tumor nodules.
- Personalized medicine in oncology needs to extend to the nodule level for maximum efficacy.
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