Related Experiment Video
Updated: May 28, 2026

09:49
Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
Published on: July 5, 2019
Detection of Gene Fusions in Soft Tissue Sarcoma Using Next-Generation Sequencing
Piotr Remiszewski1,2, Klaudia Bobak1, Jakub Piątkowski3
1Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, 00-001 Warsaw, Poland.
Genes
|May 27, 2026
Summary
Next-generation sequencing identified gene fusions in one-third of soft tissue sarcoma (STS) patients, exclusively in high-grade tumors. These genomic alterations did not impact treatment or outcomes in this study.
Area of Science:
- Oncology
- Genomics
- Molecular Pathology
Background:
- Soft tissue sarcomas (STS) present significant molecular heterogeneity.
- Recurrent gene fusions are crucial for STS diagnosis and targeted therapy, but their clinical impact needs further elucidation.
Purpose of the Study:
- To investigate the utility of next-generation sequencing (NGS) for detecting gene fusions in STS.
- To explore the clinical implications of identified gene fusions in patients receiving neoadjuvant chemoradiotherapy.
Main Methods:
- NGS (FusionPlex Sarcoma v2) and bioinformatic analysis were performed on FFPE core needle biopsy specimens.
- The study included patients from a phase II clinical trial receiving neoadjuvant chemoradiotherapy (UNRESARC protocol).
Main Results:
- Gene fusions were detected in 3 of 9 patients (33%), exclusively in high-grade (G3) tumors.
- Identified fusions included SGSH-PRKCA, LINC01133-OGA, and JAZF1-MYH7B with a concurrent PRKCA rearrangement.
- Fusion-positive cases exhibited stable radiological disease and moderate pathological response, while fusion-negative cases showed varied outcomes.
Conclusions:
- Broad genomic profiling can offer valuable molecular insights in challenging STS cases.
- In this series, detected gene fusions did not alter systemic treatment or demonstrate prognostic/predictive value.

