Skip to main navigation Skip to search Skip to main content

Engineered model of t(7;12)(q36;p13) AML recapitulates patient-specific features and gene expression profiles

  • Denise Ragusa
  • , Ylenia Cicirò
  • , Concetta Federico
  • , Salvatore Saccone
  • , Francesca Bruno
  • , Reza Saeedi
  • , Cristina Sisu
  • , Cristina Pina*
  • , Arturo Sala*
  • , Sabrina Tosi*
  • *Corresponding author for this work
  • Brunel University London
  • University of Catania

Research output: Contribution to journalArticleAcademicpeer-review

23 Downloads (Pure)

Abstract

Acute myeloid leukaemia carrying the translocation t(7;12)(q36;p13) is an adverse-risk leukaemia uniquely observed in infants. Despite constituting up to 30% of cases in under 2-year-olds, it remains poorly understood. Known molecular features are ectopic overexpression of the MNX1 gene and generation of a fusion transcript in 50% of patients. Lack of research models has hindered understanding of t(7;12) biology, which has historically focused on MNX1 overexpression rather than the cytogenetic entity itself. Here, we employed CRISPR/Cas9 to generate t(7;12) in the human K562 cell line, and in healthy CD34+ haematopoietic progenitors where the translocation was not sustained in long-term cultures or through serial replating. In contrast, in K562 cells, t(7;12) was propagated in self-renewing clonogenic assays, with sustained myeloid bias in colony formation and baseline depletion of erythroid signatures. Nuclear localisation analysis revealed repositioning of the translocated MNX1 locus to the interior of t(7;12)-harbouring K562 nuclei — a known phenomenon in t(7;12) patients which associates with ectopic overexpression of MNX1. Crucially, the K562-t(7;12) model successfully recapitulated the transcriptional landscape of t(7;12) patient leukaemia. In summary, we engineered a clinically-relevant model of t(7;12) acute myeloid leukaemia with the potential to unravel targetable molecular mechanisms of disease.
Original languageEnglish
Article number50
JournalOncogenesis
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Engineered model of t(7;12)(q36;p13) AML recapitulates patient-specific features and gene expression profiles'. Together they form a unique fingerprint.

Cite this