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.

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.

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