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Analysis of Expression Patterns of MicroRNAs That Are Closely Associated With Renal Carcinogenesis

Ei Shiomi1,2, Tamotsu Sugai1, Kazuyuki Ishida1

  • 1Department of Molecular Diagnostic Pathology, School of Medicine, Iwate Medical University, Morioka, Japan.

Frontiers in Oncology
|June 20, 2019
PubMed

Insights

MicroRNA (miRNA) expression patterns in clear cell renal cell carcinoma (ccRCC) can stratify patients into subgroups. Lower expression of miRNA-135a-5p is linked to metachronous metastasis in ccRCC patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • MicroRNAs (miRNAs) are critical regulators of gene expression.
  • Dysregulation of miRNAs is a hallmark of various cancers, including clear cell renal cell carcinoma (ccRCC).
  • Understanding miRNA expression patterns can provide insights into tumor development and patient prognosis.

Purpose of the Study:

  • To investigate miRNA expression profiles in ccRCC.
  • To identify specific miRNAs associated with renal carcinogenesis and patient outcomes.
  • To evaluate the potential of miRNA expression patterns as biomarkers for metastasis.

Main Methods:

  • Real-time PCR was used to quantify the expression of 16 selected miRNAs in 96 ccRCC samples.
  • Cluster analysis was employed to stratify ccRCC samples based on miRNA expression patterns.
  • Multivariate analysis was performed to assess the prognostic value of individual miRNAs.

Main Results:

  • Three distinct subgroups of ccRCC were identified based on miRNA expression patterns.
  • Subgroup 1 showed upregulation of specific oncogenic miRNAs, while Subgroup 2 exhibited downregulation of tumor-suppressive miRNAs.
  • Significantly lower expression of miRNA-135a-5p was a distinct feature of Subgroup 3 and was correlated with metachronous metastasis, showing excellent specificity in multivariate analysis.

Conclusions:

  • miRNA expression patterns are valuable for understanding renal carcinogenesis in ccRCC.
  • The identified miRNA expression patterns can aid in predicting metachronous metastasis in ccRCC patients.
  • miRNA-135a-5p serves as a promising biomarker for the prediction of metachronous metastasis in ccRCC.
Keywords:
clear cell renal cell carcinomacluster analysismicroRNAmicroRNA-135a-5prenal carcinogenesis

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