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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
Multilevel Genomics-Based Taxonomy of Renal Cell Carcinoma
Fengju Chen1, Yiqun Zhang1, Yasin Şenbabaoğlu2
1Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
Abstract:
On the basis of multidimensional and comprehensive molecular characterization (including DNA methalylation and copy number, RNA, and protein expression), we classified 894 renal cell carcinomas (RCCs) of various histologic types into nine major genomic subtypes. Site of origin within the nephron was one major determinant in the classification, reflecting differences among clear cell, chromophobe, and papillary RCC. Widespread molecular changes associated with TFE3 gene fusion or chromatin modifier genes were present within a specific subtype and spanned multiple subtypes. Differences in patient survival and in alteration of specific pathways (including hypoxia, metabolism, MAP kinase, NRF2-ARE, Hippo, immune checkpoint, and PI3K/AKT/mTOR) could further distinguish the subtypes. Immune checkpoint markers and molecular signatures of T cell infiltrates were both highest in the subtype associated with aggressive clear cell RCC. Differences between the genomic subtypes suggest that therapeutic strategies could be tailored to each RCC disease subset.
Insights
This study classified 894 renal cell carcinomas (RCCs) into nine genomic subtypes using comprehensive molecular data. These subtypes show distinct origins, molecular drivers, and survival outcomes, suggesting tailored therapies for renal cancer treatment.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Renal cell carcinoma (RCC) is a heterogeneous cancer with diverse histologic types.
- Understanding the molecular underpinnings of RCC is crucial for developing targeted therapies.
Purpose of the Study:
- To classify a large cohort of renal cell carcinomas (RCCs) into distinct genomic subtypes.
- To identify molecular drivers and pathway alterations associated with each subtype.
- To explore the relationship between genomic subtypes, tumor microenvironment, and patient survival.
Main Methods:
- Multidimensional molecular characterization of 894 RCCs, including DNA methylation, copy number, RNA, and protein expression.
- Genomic subtyping based on integrated molecular data.
- Analysis of pathway alterations, TFE3 gene fusions, and chromatin modifier genes.
- Correlation of genomic subtypes with immune checkpoint markers, T cell infiltrates, and patient survival.
Main Results:
- Nine major genomic subtypes of RCC were identified, reflecting differences in site of origin within the nephron.
- Specific subtypes were characterized by TFE3 gene fusions or alterations in chromatin modifier genes.
- Subtypes differed in pathway alterations (hypoxia, metabolism, immune checkpoint, etc.) and patient survival.
- The subtype associated with aggressive clear cell RCC exhibited the highest immune checkpoint markers and T cell infiltrates.
Conclusions:
- Comprehensive molecular profiling enables the classification of RCC into distinct genomic subtypes.
- These subtypes are associated with specific molecular drivers, pathway alterations, and clinical outcomes.
- Genomic subtyping provides a framework for tailoring therapeutic strategies to individual RCC patient subsets.
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