Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study

Willemijne A M E Schrijver1, Paul J van Diest1,

  • 1Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.

Oncotarget
|December 1, 2016
PubMed

Insights

This study identified microRNA (miR) signatures specific to breast cancer metastasis sites. These findings could lead to new biomarkers for predicting metastasis location and personalized therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Distant metastasis remains the primary cause of breast cancer mortality.
  • MicroRNAs (miRs) are key regulators in physiological and pathological processes, including cancer metastasis.
  • Distinct molecular subtypes of breast cancer exhibit characteristic patterns of metastasis site formation.

Purpose of the Study:

  • To investigate the molecular mechanisms driving site-specific breast cancer metastasis.
  • To identify microRNA (miR) signatures that predict the localization of distant metastases.
  • To explore the potential of miRs as biomarkers for metastasis prediction and targeted therapy.

Main Methods:

  • Global microRNA expression profiling was performed on primary breast cancer specimens and their corresponding distant metastases (ovary, skin, lung, brain, gastrointestinal tract).
  • MicroRNA expression arrays (miRCURY) were used for initial discovery.
  • Quantitative real-time PCR (qRT-PCR) was employed for validation in independent cohorts.

Main Results:

  • MicroRNA expression patterns were highly patient-specific.
  • Primary tumor miR signatures were generally maintained in metastases, with notable exceptions of location-specific miRs.
  • Hsa-miR-106b-5p was identified as a predictor for lung metastasis development.
  • Upregulation of miRs was observed in sequential metastases over time.

Conclusions:

  • A novel metastatic site-specific microRNA was discovered.
  • MicroRNA expression is highly individualized in breast cancer patients.
  • These findings may facilitate the development of novel biomarkers for predicting metastasis sites.
  • The study suggests potential for personalized, targeted adjuvant therapies to prevent clinically manifest metastases.

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