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Updated: Mar 28, 2026

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
Published on: July 5, 2019
Novel kinase fusion transcripts found in endometrial cancer
Ryo Tamura1, Kosuke Yoshihara1, Kaoru Yamawaki1
1Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Abstract:
Recent advances in RNA-sequencing technology have enabled the discovery of gene fusion transcripts in the transcriptome of cancer cells. However, it remains difficult to differentiate the therapeutically targetable fusions from passenger events. We have analyzed RNA-sequencing data and DNA copy number data from 25 endometrial cancer cell lines to identify potential therapeutically targetable fusion transcripts, and have identified 124 high-confidence fusion transcripts, of which 69% are associated with gene amplifications. As targetable fusion candidates, we focused on three in-frame kinase fusion transcripts that retain a kinase domain (CPQ-PRKDC, CAPZA2-MET, and VGLL4-PRKG1). We detected only CPQ-PRKDC fusion transcript in three of 122 primary endometrial cancer tissues. Cell proliferation of the fusion-positive cell line was inhibited by knocking down the expression of wild-type PRKDC but not by blocking the CPQ-PRKDC fusion transcript expression. Quantitative real-time RT-PCR demonstrated that the expression of the CPQ-PRKDC fusion transcript was significantly lower than that of wild-type PRKDC, corresponding to a low transcript allele fraction of this fusion, based on RNA-sequencing read counts. In endometrial cancers, the CPQ-PRKDC fusion transcript may be a passenger aberration related to gene amplification. Our findings suggest that transcript allele fraction is a useful predictor to find bona-fide therapeutic-targetable fusion transcripts.
Insights
Identifying therapeutically targetable gene fusions in endometrial cancer is challenging. Analysis suggests transcript allele fraction can help distinguish driver fusions from passenger events, improving cancer therapy selection.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- RNA-sequencing advances enable gene fusion discovery in cancer.
- Differentiating therapeutically targetable fusions from passenger events remains a challenge.
Purpose of the Study:
- To identify potentially targetable fusion transcripts in endometrial cancer.
- To evaluate the utility of transcript allele fraction in identifying driver fusions.
Main Methods:
- Analysis of RNA-sequencing and DNA copy number data from endometrial cancer cell lines.
- Identification and characterization of fusion transcripts, focusing on kinase fusions.
- Validation in primary endometrial cancer tissues using quantitative real-time RT-PCR.
Main Results:
- 124 high-confidence fusion transcripts identified, 69% linked to gene amplifications.
- CPQ-PRKDC fusion transcript detected in a small subset of primary tumors.
- CPQ-PRKDC fusion expression was low, suggesting a passenger event, unlike wild-type PRKDC.
Conclusions:
- Transcript allele fraction is a valuable metric for identifying bona-fide therapeutic-targetable fusion transcripts.
- The CPQ-PRKDC fusion in endometrial cancer may be a passenger aberration.
- Distinguishing driver from passenger fusions is crucial for effective cancer therapy.
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