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Fusion Gene Detection and Quantification by Asymmetric Capture Sequencing (aCAP-Seq)
Guillaume Gricourt1, Violaine Tran Quang2, Jean-Michel Cayuela3
1Department of Hematology and Immunology, Henri Mondor University Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Creteil, France.
The Journal of Molecular Diagnostics : JMD
|August 13, 2022
Summary
A new next-generation sequencing (NGS) method accurately detects and quantifies leukemia fusion genes. This advance aids in understanding myeloid malignancy clonal architecture and patient treatment.
Area of Science:
- Hematology
- Molecular Biology
- Genetics
Background:
- Targeted therapies for leukemia fusion genes (e.g., BCR::ABL1) have improved outcomes.
- Leukemia relapse and progression persist as clinical challenges.
- Current myeloid next-generation sequencing (NGS) panels often fail to detect or quantify these critical fusion genes, hindering clonal architecture analysis.
Purpose of the Study:
- To develop and validate a sensitive and cost-efficient NGS method for detecting and quantifying key leukemia fusion genes.
- To enable comprehensive analysis of clonal architecture and dynamics in myeloid malignancies.
Main Methods:
- Development of an asymmetric capture sequencing strategy (aCAP-Seq) coupled with a bioinformatics algorithm (HmnFusion).
- Targeting of 41 genes within an NGS panel to detect BCR::ABL1, PML::RARA, and FIP1L1::PDGFRA fusions.
- Analysis of 119 DNA samples from 106 patients using the developed NGS panel and comparison with conventional methods.
Main Results:
- The aCAP-Seq method demonstrated 100% specificity and 98.1% sensitivity for fusion detection.
- A limit of detection as low as 0.1% was achieved, with linear quantification from 0.1% to 50%.
- NGS-identified breakpoint locations and sequences were highly concordant with Sanger sequencing results.
Conclusions:
- The novel NGS method provides sensitive, specific, and cost-efficient detection and quantification of leukemia fusion genes.
- This approach facilitates integrated analysis of myeloid malignancies, including resistant chronic myeloid leukemia.
- The method is valuable for elucidating the mutational landscape and clonal architecture at various disease stages.
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