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Resolving intra-tumor heterogeneity and clonal evolution of core-binding factor acute myeloid leukemia patients with single-cell resolution

Authors

  • Raphael Hablesreiter
  • Paulina M. Strzelecka
  • Klara Kopp
  • Natalia Estrada
  • Anna Dolnik
  • Marlon Tilgner
  • Coral Fustero-Torre
  • Felicitas Thol
  • Florian H. Heidel
  • Michael Heuser
  • Laleh Haghverdi
  • Lars Bullinger
  • Friederike Christen
  • Frederik Damm

Journal

  • Experimental Hematology & Oncology

Citation

  • Exp Hematol Oncol 14 (1): 127

Abstract

  • Reconstructing and understanding intra-tumor heterogeneity, the coexistence of multiple genetically distinct subclones within the tumor of a patient, and tumor development is essential for resolving carcinogenesis and for identifying mechanisms of therapy resistance. While bulk sequencing can provide a broad view on tumoral complexity/heterogeneity of a patient, single-cell analysis remains essential to identify rare subclones that might drive chemotherapy resistance. In this study, we performed an integrated analysis of bulk and single-cell DNA sequencing data of core-binding factor acute myeloid leukemia patients, defined by the presence of a RUNX1::RUNX1T1 or CBFB::MYH11 fusion gene. By single-cell sequencing, we inferred tumor phylogenies for 8 patients at diagnosis including patient-specific somatic variants, somatic copy-number alterations and fusion genes, and studied clonal evolution under the pressure of chemotherapy for 3 patients. As a result, we developed an approach to reliably integrate subclonal somatic copy number alterations into phylogenetic trees and clonal evolution analysis, obtaining unprecedented resolution of intra-tumor heterogeneity in CBF AML. We were able to show that the fusion gene is among the earliest events of leukemogenesis at single-cell level. We identified remaining tumor clones in 6 patients with complete remission samples indicating incomplete eradication of the tumor clones. Here, we show that identifying the order of mutation acquisition can provide valuable insights into evolutionary history, offering a framework to improve drug selection in the era of targeted therapies.


DOI

doi:10.1186/s40164-025-00718-4