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Updated: Apr 6, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
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.
Abstract:
Relatively few recurrent gene fusion events have been associated with breast cancer to date. In an effort to uncover novel fusion transcripts, we performed whole-transcriptome sequencing of 120 fresh-frozen primary breast cancer samples and five adjacent normal breast tissues using the Illumina HiSeq2000 platform. Three different fusion-detecting tools (deFuse, Chimerascan, and TopHatFusion) were used, and the results were compared. These tools detected 3,831, 6,630 and 516 fusion transcripts (FTs) overall. We primarily focused on the results obtained using the deFuse software. More FTs were identified from HER2 subtype breast cancer samples than from the luminal or triple-negative subtypes (P < 0.05). Seventy fusion candidates were selected for validation, and 32 (45.7%) were confirmed by RT-PCR and Sanger sequencing. Of the validated fusions, six were recurrent (found in 2 or more samples), three were in-frame (PRDX1-AKR1A1, TACSTD2-OMA1, and C2CD2-TFF1) and three were off-frame (CEACAM7-CEACAM6, CYP4X1-CYP4Z2P, and EEF1DP3-FRY). Notably, the novel read-through fusion, EEF1DP3-FRY, was identified and validated in 6.7% (8/120) of the breast cancer samples. This off-frame fusion results in early truncation of the FRY gene, which plays a key role in the structural integrity during mitosis. Three previously reported fusions, PPP1R1B-STARD3, MFGE8-HAPL, and ETV6-NTRK3, were detected in 8.3, 3.3, and 0.8% of the 120 samples, respectively, by both deFuse and Chimerascan. The recently reported MAGI3-AKT3 fusion was not detected in our analysis. Although future work will be needed to examine the biological significance of our new findings, we identified a number of novel fusions and confirmed some previously reported fusions.
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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