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Related Experiment Video

Updated: Jun 18, 2026

The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
12:22

The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

Microarray gene expression profiling using core biopsies of renal neoplasia.

Craig G Rogers, Jonathon A Ditlev, Min-Han Tan

    American Journal of Translational Research
    |December 8, 2009
    PubMed
    Summary

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    Microarray gene expression profiling of renal tumor core biopsies is feasible for classifying histology. This technology accurately distinguishes between different kidney tumor types, aiding in diagnosis.

    Area of Science:

    • Oncology
    • Molecular Biology
    • Genomics

    Background:

    • Accurate classification of renal tumor histology is crucial for effective treatment.
    • Minimally invasive diagnostic techniques are needed for renal tumor analysis.

    Purpose of the Study:

    • To assess the feasibility of using microarray gene expression profiling on renal tumor core biopsies for histological classification.
    • To determine if gene expression patterns from core biopsies can accurately represent the histology of the entire tumor.

    Main Methods:

    • Obtained ex-vivo core biopsies from seven renal tumors of four histological subtypes.
    • Isolated RNA, amplified it via in vitro transcription, and performed microarray analysis.
    • Quantified mRNA expression, identified variable genes, and used Euclidean distance and hierarchical clustering for analysis.
    Keywords:
    amplificationbiopsycDNA microarraygene expression profilingkidney tumor

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    Last Updated: Jun 18, 2026

    The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
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    Published on: January 22, 2013

    Microfluidic Co-culture of Renal Healthy and Tumor Epithelium to Model Kidney Cancer Progression
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    Published on: January 31, 2025

    Main Results:

    • Gene expression profiling successfully classified renal tumor histology.
    • Five of seven biopsy samples showed high similarity in gene expression to their corresponding resected tumors.
    • Hierarchical clustering accurately assigned all seven biopsies to their correct histological class.

    Conclusions:

    • Microarray gene expression profiling of renal tumor core biopsies is a feasible method for classifying tumor histology.
    • This technique holds promise for improving the diagnostic accuracy of kidney tumors.