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Updated: Apr 29, 2026

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
Published on: July 5, 2019
Sequential combination of karyotyping and RNA-sequencing in the search for cancer-specific fusion genes
Ioannis Panagopoulos1, Jim Thorsen1, Ludmila Gorunova1
1Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Abstract:
Cancer-specific fusion genes are often caused by cytogenetically visible chromosomal rearrangements such as translocations, inversions, deletions or insertions, they can be the targets of molecular therapy, they play a key role in the accurate diagnosis and classification of neoplasms, and they are of prognostic impact. The identification of novel fusion genes in various neoplasms therefore not only has obvious research importance, but is also potentially of major clinical significance. The "traditional" methodology to detect them began with cytogenetic analysis to find the chromosomal rearrangement, followed by utilization of fluorescence in situ hybridization techniques to find the probe which spans the chromosomal breakpoint, and finally molecular cloning to localize the breakpoint more precisely and identify the genes fused by the chromosomal rearrangement. Although laborious, the above-mentioned sequential approach is robust and reliable and a number of fusion genes have been cloned by such means. Next generation sequencing (NGS), mainly RNA sequencing (RNA-Seq), has opened up new possibilities to detect fusion genes even when cytogenetic aberrations are cryptic or information about them is unknown. However, NGS suffers from the shortcoming of identifying as "fusion genes" also many technical, biological and, perhaps in particular, clinical "false positives," thus making the assessment of which fusions are important and which are noise extremely difficult. The best way to overcome this risk of information overflow is, whenever reliable cytogenetic information is at hand, to compare karyotyping and sequencing data and concentrate exclusively on those suggested fusion genes that are found in chromosomal breakpoints. This article is part of a Directed Issue entitled: Rare Cancers.
Insights
Cancer fusion genes, crucial for diagnosis and therapy, are identified using traditional methods or next-generation sequencing (NGS). Combining karyotyping and sequencing data refines fusion gene detection, minimizing false positives.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Cancer-specific fusion genes, arising from chromosomal rearrangements, are vital for neoplasm diagnosis, classification, and prognosis.
- These fusion genes can serve as targets for molecular therapies, highlighting their clinical significance.
- Traditional methods for detecting fusion genes involve cytogenetics, fluorescence in situ hybridization, and molecular cloning.
Purpose of the Study:
- To explore the identification of novel fusion genes in neoplasms.
- To compare traditional and next-generation sequencing (NGS) approaches for fusion gene detection.
- To address the challenge of false positives in NGS-based fusion gene identification.
Main Methods:
- Review of traditional cytogenetic and molecular techniques for fusion gene detection.
- Analysis of next-generation sequencing (NGS), specifically RNA sequencing (RNA-Seq), for identifying fusion genes.
- Integration of karyotyping and sequencing data to validate fusion gene candidates.
Main Results:
- Traditional methods are robust but laborious.
- NGS (RNA-Seq) offers new possibilities, especially for cryptic aberrations.
- NGS can generate numerous false positives, complicating the assessment of clinically relevant fusion genes.
Conclusions:
- Comparing karyotyping and sequencing data is essential to overcome NGS limitations.
- Focusing on fusion genes identified at chromosomal breakpoints enhances accuracy.
- This integrated approach improves the reliable detection of clinically significant fusion genes.
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