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FLT3-ITD Measurable Residual Disease Monitoring in Acute Myeloid Leukemia Using Next-Generation Sequencing.


ABSTRACT: The in-frame internal tandem duplication (ITD) of the FMS-like tyrosine kinase 3 (FLT3) gene is an important negative prognostic marker in acute myeloid leukemia (AML). FLT3-ITD monitoring is essential for patients at relapse or those receiving FLT3-targeted therapies. Fragment analysis (FA) is commonly used to detect and quantify FLT3-ITDs; however, detecting low-burden FLT3-ITDs after a treatment is challenging. We, therefore, developed a customized, next-generation sequencing (NGS)-based FLT3-ITD assay that includes a new ITD-tracing algorithm, "SEED", optimized for measurable residual disease (MRD) monitoring. NGS-SEED showed an enhanced sensitivity (0.001%) and has a superior performance over conventional fragment analysis. We further investigated the prognostic impact of MRD analyzed by NGS-SEED in AML patients who underwent allogeneic hematopoietic stem cell transplantation (HSCT). Our assay showed that the MRD assessed before and after HSCT were significantly associated with a risk of relapse and a poor overall survival, respectively, in a time-dependent analysis. Thus, this report highlighted the prognostic value of serial MRD monitoring using a sensitive method in a clinical setting of AML patients with FLT3-ITD.

SUBMITTER: Lee JM 

PROVIDER: S-EPMC9776673 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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<i>FLT3</i>-ITD Measurable Residual Disease Monitoring in Acute Myeloid Leukemia Using Next-Generation Sequencing.

Lee Jong-Mi JM   Park Silvia S   Hwang Insik I   Kang Dain D   Cho Byung Sik BS   Kim Hee-Je HJ   Ahn Ari A   Kim Myungshin M   Kim Yonggoo Y  

Cancers 20221212 24


The in-frame internal tandem duplication (ITD) of the FMS-like tyrosine kinase 3 (<i>FLT3</i>) gene is an important negative prognostic marker in acute myeloid leukemia (AML). <i>FLT3</i>-ITD monitoring is essential for patients at relapse or those receiving <i>FLT3</i>-targeted therapies. Fragment analysis (FA) is commonly used to detect and quantify <i>FLT3</i>-ITDs; however, detecting low-burden <i>FLT3</i>-ITDs after a treatment is challenging. We, therefore, developed a customized, next-gen  ...[more]

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