Recurrent fusion transcripts detected by whole-transcriptome sequencing of 120 primary breast cancer samples

Jisun Kim1, Sehwan Kim2, Seyoon Ko3

  • 1Department of Surgery, Asan Medical Center, Seoul, Korea.

Insights

Researchers identified novel gene fusions in breast cancer using whole-transcriptome sequencing. The EEF1DP3-FRY fusion was found in 6.7% of samples, potentially impacting mitosis. This study advances understanding of breast cancer genomics.

Area of Science:

  • Genomics and Molecular Biology
  • Oncology
  • Bioinformatics

Background:

  • Recurrent gene fusions are infrequently associated with breast cancer.
  • Identifying novel fusion transcripts is crucial for understanding breast cancer pathogenesis.

Purpose of the Study:

  • To uncover novel gene fusion transcripts in primary breast cancer.
  • To compare the efficacy of different fusion-detection tools.
  • To identify recurrent and potentially functional gene fusions.

Main Methods:

  • Whole-transcriptome sequencing of 120 primary breast cancer samples and 5 normal tissues.
  • Utilized three fusion-detecting tools: deFuse, Chimerascan, and TopHatFusion.
  • Validated fusion candidates using RT-PCR and Sanger sequencing.

Main Results:

  • Over 3,800 fusion transcripts were detected, with deFuse identifying the most.
  • More fusion transcripts were found in HER2-subtype breast cancers.
  • 32 out of 70 candidates (45.7%) were validated; EEF1DP3-FRY was a novel recurrent fusion in 6.7% of samples.

Conclusions:

  • Whole-transcriptome sequencing is effective for identifying novel gene fusions in breast cancer.
  • The novel EEF1DP3-FRY fusion may have functional implications due to FRY gene truncation.
  • This study expands the landscape of known breast cancer gene fusions.

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