Related Experiment Video
Updated: May 10, 2026
12:21
MicroRNA In situ Hybridization for Formalin Fixed Kidney Tissues
Published on: November 30, 2013
MicroRNA profiles classify papillary renal cell carcinoma subtypes
1Department of Urology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany. sven.wach@uk-erlangen.de
British Journal of Cancer
|June 27, 2013
Summary
Five microRNAs accurately classify renal cell carcinoma (RCC) subtypes, revealing potential links to chemotherapy resistance and MYC signaling in papillary RCC type 2. This advances understanding of kidney cancer molecular characteristics.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Papillary renal cell carcinoma (pRCC) is the second most common kidney cancer.
- pRCC has two subtypes with clinical relevance but unknown molecular differences.
- Clear-cell RCC (ccRCC) is the most common type.
Purpose of the Study:
- To investigate the molecular characteristics of pRCC subtypes.
- To develop a classification model for RCC subtypes using microRNA (miRNA) expression.
- To identify potential therapeutic targets in RCC.
Main Methods:
- Microarray-based miRNA expression profiling of ccRCC, pRCC types 1 and 2, and normal kidney tissue.
- Development of a miRNA-based classification model.
- Gene set enrichment analysis of predicted miRNA target genes.
Main Results:
- A panel of five miRNAs (miR-145, -200c, -210, -502-3p, let-7c) accurately classified RCC samples (73.9% accuracy).
- Enrichment of multidrug-resistance protein genes was observed in all tumor samples.
- Potential miRNA targets in the Jak-STAT signaling pathway were identified for pRCC subtypes.
Conclusions:
- MicroRNAs can accurately classify RCC samples.
- Deregulated miRNAs may contribute to chemotherapy resistance in RCC.
- pRCC type 2 tumors may rely on oncogenic MYC signaling.
