Detection of mutant cancer-derived circRNAs in extracellular vesicles by rolling circle amplification

Mikołaj Piotr Zaborowski1,2,3,4, Charles Pin-Kuang Lai1,2, Alessandro Sammarco1,2,5

  • 1Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA.

Insights

Researchers identified mutant circular RNAs (circRNAs) in extracellular vesicles (EVs) from ovarian cancer cells. This discovery may lead to a new diagnostic test for ovarian cancer using these EV-derived mutant circRNAs.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Circular RNAs (circRNAs) are stable RNA molecules released by cells in extracellular vesicles (EVs).
  • The potential of circRNAs within EVs as biomarkers for diseases like ovarian cancer is largely unexplored.
  • Ovarian cancer cells are known to release circRNAs, but their specific role and utility as biomarkers require further investigation.

Purpose of the Study:

  • To investigate the presence and potential utility of mutant circRNAs within EVs as biomarkers for ovarian cancer.
  • To develop a method for detecting and amplifying mutant circRNAs from EVs for diagnostic purposes.

Main Methods:

  • Ovarian cancer cells were analyzed for circRNA release into EVs.
  • Mutant circular transcripts from key cancer genes (TP53, KRAS, PIK3CA) were identified in EVs.
  • A rolling circle amplification (RCA) protocol was optimized by adjusting reverse transcription and PCR elongation times.
  • The optimized RCA protocol was used to detect mutant circRNAs from TP53 in EVs from plasma of tumor-bearing animals.

Main Results:

  • Ovarian cancer cells were confirmed to release and enrich circRNAs in EVs.
  • Mutant circular transcripts of TP53, KRAS, and PIK3CA were detected in EVs derived from cancer cells.
  • Rolling circle amplification (RCA) was observed to intensely amplify mutant circRNAs within EVs.
  • Optimized RCA conditions successfully detected TP53 mutant circRNAs in EVs from plasma of ovarian cancer-bearing animals.

Conclusions:

  • A novel model for amplifying mutant circRNAs from EVs has been established.
  • This amplification method shows promise for developing a diagnostic test for ovarian cancer.
  • EV-derived mutant circRNAs represent a potential new class of biomarkers for ovarian cancer detection.

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