University of Texas Health Science Center at Houston
A Novel NGS Assay to Detect Any KMT2A Fusion Transcript at Low Levels
Abstract
dc:description.abstract<p>Measurable residual disease (MRD) detection is associated with cancer relapse. Leukemias with rearrangement of the lysine methyltransferase 2 A gene (<em>KMT2Ar</em>) have an adverse prognosis with more than 80 possible fusion partner genes (FPG) identified. With the advent of effective targeted therapies for <em>KMT2Ar</em> leukemia such as menin inhibitors, there is an unmet need for sensitive assays to detect these various fusions. Standard next-generation sequencing (NGS) methods cannot accurately detect genetic alterations at low frequencies because of inherent technical errors and the need for high sequencing depth. Blocker Displacement Amplification (BDA) technology enables selective detection of such rare alterations with NGS. Here, we demonstrate the effective detection of <em>KMT2Ar </em>and its various FPG with a novel NGS assay leveraging BDA. Primers were designed to flank any known exon junction of cDNA corresponding to transcripts of the gene of interest, while non-extensible oligonucleotides (blockers) span the wildtype (WT) exon junction, therefore suppressing amplification of WT while differentially amplifying fusion junctions. We tested this assay in cell line, establishing limits of detection and input and subsequently validated our findings in clinical samples from patients with <em>KMT2Ar </em>leukemia. In conclusion, FusionBDA is a novel, sensitive, and specific assay for <em>KMT2Ar</em> acute leukemia. This assay can agnostically detect <em>KMT2Ar </em>with various fusions at a predicted sensitivity of at least 0.005%, therefore allowing both MRD detection and target identification.</p>
Degree
thesis:*- Name thesis:degree_name
- Masters of Science (MS)
- Level thesis:degree_level
- Thesis (MS)
- Year dc:date.available
- 2023
Author and committee
dc:creator, dc:contributor.*- Authors dc:creator
-
- Issa, Ghayas
- <p>0000-0002-4339-8683</p>
- Contributors dc:contributor
-
- Andy Futreal, PhD
- Courtney DiNardo, MD
- Marina Konopleva, MD, PhD
Subjects
dc:subject × 6Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.library.tmc.edu/utgsbs_dissertations/1320
- OAI identifier oai:identifier
- oai:digitalcommons.library.tmc.edu:utgsbs_dissertations-2377