Cancer Cell International (May 2024)

Comprehensive insights into AML relapse: genetic mutations, clonal evolution, and clinical outcomes

  • Namsoo Kim,
  • Seungmin Hahn,
  • Yu Jeong Choi,
  • Hyunsoo Cho,
  • Haerim Chung,
  • Ji Eun Jang,
  • Chuhl Joo Lyu,
  • Seung-Tae Lee,
  • Jong Rak Choi,
  • June-Won Cheong,
  • Saeam Shin

DOI
https://doi.org/10.1186/s12935-024-03368-4
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 9

Abstract

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Abstract Introduction Acute myeloid leukemia (AML) is a complex hematologic malignancy characterized by uncontrolled proliferation of myeloid precursor cells within bone marrow. Despite advances in understanding of its molecular underpinnings, AML remains a therapeutic challenge due to its high relapse rate and clonal evolution. Methods In this retrospective study, we analyzed data from 24 AML patients diagnosed at a single institution between January 2017 and August 2023. Comprehensive genetic analyses, including chromosomal karyotyping, next-generation sequencing, and gene fusion assays, were performed on bone marrow samples obtained at initial diagnosis and relapse. Clinical data, treatment regimens, and patient outcomes were also documented. Results Mutations in core genes of FLT3, NPM1, DNMT3A, and IDH2 were frequently discovered in diagnostic sample and remained in relapse sample. FLT3-ITD, TP53, KIT, RUNX1, and WT1 mutation were acquired at relapse in one patient each. Gene fusion assays revealed stable patterns, while chromosomal karyotype analyses indicated a greater diversity of mutations in relapsed patients. Clonal evolution patterns varied, with some cases showing linear or branching evolution and others exhibiting no substantial change in core mutations between diagnosis and relapse. Conclusions Our study integrates karyotype, gene rearrangements, and gene mutation results to provide a further understanding of AML heterogeneity and evolution. We demonstrate the clinical relevance of specific mutations and clonal evolution patterns, emphasizing the need for personalized therapies and measurable residual disease monitoring in AML management. By bridging the gap between genetics and clinical outcome, we move closer to tailored AML therapies and improved patient prognoses.

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