Related Experiment Video
Updated: Jul 4, 2026

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
Published on: July 5, 2019
An Affordable and Efficient In-House Approach for Detecting Gene Fusions in Bone and Soft Tissue Tumors Using a
Yoji Kukita1, Ken-Ichi Yoshida2, Satoshi Takenaka3
1Laboratory of Genomic Pathology, Next-Generation Precision Cancer Research Center, Osaka International Cancer Institute, Osaka, Japan.
Abstract:
Accurate detection of gene fusions is critical for the diagnosis of bone and soft tissue tumors, yet conventional gene panel testing remains costly and impractical when processing small sample numbers. Here, we present a cost-effective and scalable in-house workflow using a custom capture panel combined with nanopore sequencing and TEQUILA-based probe synthesis. We analyzed 24 sarcoma samples with known gene fusions, comprising frozen and formalin-fixed paraffin-embedded (FFPE) specimens. Expected fusions were detected in all 7 frozen samples and in 16 of 17 FFPE samples. Long-read sequencing enabled direct characterization of full-length fusion transcripts, providing structural information beyond fusion junctions. Gene expression quantification showed strong concordance with short-read sequencing (Spearman r = 0.770-0.976), supporting quantitative reliability. Down-sampling analysis demonstrated that 100-200 Mb of sequencing data per sample was sufficient for reliable fusion detection, while deeper sequencing improved sensitivity for lowly expressed fusions. In addition, reuse of flow cells supported flexible and efficient sequencing for small sample batches. This approach provides a practical and extensible framework for in-house fusion detection and improves the accessibility of molecular diagnostics for rare cancers.
More Related Videos
11:02Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016