OGT’s latest NGS solution provides a flexible NGS workflow for the detection of ultra-low frequency measurable residual disease (MRD)-associated biomarkers in acute myeloid leukemia (AML).
By employing our unparalleled bait design process, informed by our unique expertise, OGT has developed the SureSeq™ Myeloid MRD Panel enabling the detection of 13 key AML MRD-associated biomarkers.
Our ultra-sensitive NGS panel leverages our expertise in hybrid capture to enhance the detection of the largest and most complex AML associated variants in key genes such as large FLT3-ITDs that often go undetected by previous generations of PCR-based enrichment technologies.
Overall, we were very happy with the promising results we obtained using the SureSeq Myeloid MRD Panel which has led us to implement this panel for MRD analysis in our ongoing and planned clinical trials. In our hands this panel was able to detect all variants found by a comparator NGS panel, generating no false positive calls, and most importantly, several additional clinically relevant variants, including FLT3-ITDs, that had not been detected by the comparator were found.
Dr. Klaus H. Metzeler, MD
Professor of Translational Hematology, Dept. of Hematology, Cell Therapy, Hemostaseology and Infectious Diseases, University of Leipzig, Germany
Prof. Dr. med. Klaus. H. Metzeler, MD describes the current technology landscape and prognostic relevance of minimal residual disease (MRD) detection and demonstrates his experience using NGS-based MRD detection in AML, including OGT’s NGS-based SureSeq Myeloid MRD Panel.
This study evaluated the suitability of the SureSeq Myeloid MRD Complete NGS Workflow Solution V2 for detection of low-level variants in MRD monitoring. The results show that this NGS approach can reliably detect AML-related genetic variants for SNVs, indels and FLT3-ITDs as low as 0.05% VAF, enabling stronger characterization of the AML status of research samples.
Learn more about existing technologies in MRD detection for AML and how next-generation sequencing has emerged as a promising new approach to detect MRD with high sensitivity.
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