Transcriptomic and Functional Screens Reveal MicroRNAs That Modulate Prostate Cancer Metastasis

Srinivasa R Rao1, Alison Howarth2, Patrick Kratschmer1

  • 1Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.

Frontiers in Oncology
|April 2, 2020
PubMed

Insights

This study identifies specific microRNAs that suppress prostate cancer (PCa) cell migration and promote epithelial morphology. These findings reveal novel therapeutic targets for combating metastatic prostate cancer progression.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Metastasis is a critical, fatal step in prostate cancer (PCa) progression.
  • Small non-coding RNAs, particularly microRNAs, are increasingly recognized as key regulators of tumor cell biology and metastasis.
  • Understanding the role of microRNAs in PCa metastasis is vital for developing effective therapeutic strategies.

Purpose of the Study:

  • To elucidate the contribution of microRNAs to prostate cancer metastatic progression.
  • To identify specific microRNAs that modulate cancer cell migration and morphology.
  • To integrate transcriptomic data with functional screening to discover clinically relevant microRNAs in PCa.

Main Methods:

  • Development of high-content microscopy and high-throughput functional screens for cell migration and morphology using a microRNA library in PCa cells.
  • RNA-sequencing (RNA-Seq) analysis of paired epithelial and mesenchymal PCa cells to identify differentially expressed microRNAs.
  • Integration of transcriptomic data with functional screening results and analysis of published PCa patient datasets.

Main Results:

  • RNA-Seq identified differential expression of 200 microRNAs between epithelial and mesenchymal PCa cells.
  • Data integration pinpointed two microRNAs that significantly inhibited cell migration and induced an epithelial-like morphology.
  • These identified microRNAs were found to be upregulated in epithelial PCa cells, with a notable overrepresentation of the AAGUGC seed sequence across datasets.

Conclusions:

  • The study successfully integrated high-throughput functional and expression analyses to identify microRNAs with clinical significance in PCa.
  • Identified microRNAs modulate metastatic behavior, offering potential as therapeutic targets for prostate cancer.
  • The findings highlight the clinical relevance of specific microRNAs in regulating PCa cell metastasis.