Related Experiment Video
Updated: Jan 2, 2026

Detection of MicroRNA Expression in the Kidneys of Immunoglobulin A Nephropathic Mice
Published on: July 8, 2020
Molecular classification of adult renal epithelial neoplasms using microRNA expression and virtual karyotyping
Martin P Powers1, Karla Alvarez, Hyun-Jung Kim
1Department of Pathology and Laboratory Medicine, The Methodist Hospital and The Methodist Hospital Research Institute, Houston, TX, USA.
Abstract:
Oncocytoma, chromophobe renal cell carcinoma (chRCC), and the eosinophilic variant of clear cell RCC (ccRCC) are morphologically similar tumors with significantly different clinical courses. These renal tumor subtypes show characteristic structural genetic changes; however, the mRNA expression patterns of oncocytoma and chRCC are strikingly similar. MicroRNAs (miRNA) are small RNA molecules that regulate the expression of many genes and have been shown to be useful for tumor classification and identification. The miRNA expression was analyzed from formalin-fixed paraffin-embedded tissue in 5 cases each of oncocytoma, ccRCC, papillary RCC, chRCC, and 4 normal kidney tissues using microarrays. Affymetrix single-nucleotide polymorphism arrays were used to detect chromosomal imbalances in each of the tumors. Eighteen miRNAs were significantly different among the 4 tumor types. The microRNA miR-21, a known oncogenic miRNA, was found to be upregulated in papillary and clear cell carcinomas. Four miRNAs could differentiate oncocytomas from chRCCs and the 3 could differentiate papillary RCC from ccRCC, including miR-126, a known vasculogenic miRNA. Of the 18 differentially expressed miRNAs, only 2 correlated with copy number changes in the chromosomal region harboring these genes. One tumor, originally diagnosed as an oncocytoma by morphology, showed a virtual karyotype and miRNA expression pattern consistent with chromophobe carcinoma. Further investigation of the tumor showed vascular invasion. Our study suggests that miRNA expression can be used to differentiate the common subtypes of renal epithelial neoplasms but further validation is necessary. In addition, the lack of correlation between miRNA expression and virtual karyotype suggests a non-copy-number-related mechanism for miRNA gene expression regulation in renal neoplasia.
Insights
MicroRNA (miRNA) expression profiling effectively distinguishes common renal cancer subtypes, including oncocytoma, chromophobe, and clear cell renal cell carcinomas. This molecular approach aids in accurate tumor classification, even when morphology is ambiguous.
Area of Science:
- Urology
- Oncology
- Molecular Biology
Background:
- Renal tumor subtypes like oncocytoma, chromophobe renal cell carcinoma (chRCC), and clear cell RCC (ccRCC) exhibit similar morphology but distinct clinical behaviors.
- While genetic changes are known, mRNA expression patterns for oncocytoma and chRCC are notably similar, posing diagnostic challenges.
- MicroRNAs (miRNAs) are key regulators of gene expression and have shown promise in classifying and identifying tumors.
Purpose of the Study:
- To investigate the utility of miRNA expression profiling in differentiating common subtypes of renal epithelial neoplasms.
- To compare miRNA expression patterns with chromosomal imbalances in these tumor types.
Main Methods:
- Microarray analysis of miRNA expression in formalin-fixed paraffin-embedded tissues from oncocytoma, ccRCC, papillary RCC, chRCC, and normal kidney samples.
- Affymetrix single-nucleotide polymorphism arrays to detect chromosomal imbalances in the tumors.
Main Results:
- Eighteen miRNAs showed significant differential expression among the four renal tumor types.
- miR-21 was upregulated in papillary and clear cell RCCs; specific miRNA panels differentiated oncocytoma from chRCC and papillary RCC from ccRCC.
- One case misdiagnosed morphologically as oncocytoma was reclassified as chRCC based on miRNA and virtual karyotype analysis, revealing vascular invasion.
Conclusions:
- miRNA expression profiling is a valuable tool for differentiating common renal epithelial neoplasm subtypes.
- The findings suggest potential non-copy-number-related mechanisms regulating miRNA gene expression in renal tumors.
- Further validation is required to establish miRNA profiling as a standard diagnostic method for renal tumors.

