Login / Signup

CD93 is expressed on chronic myeloid leukemia stem cells and identifies a quiescent population which persists after tyrosine kinase inhibitor therapy.

Ross KinstrieGillian A HorneHeather MorrisonDavid IrvineChinmay MunjeEduardo Gómez CastañedaHothri A MokaKaren M DunnJennifer E CasselsNarissa ParryCassie J ClarkeMary T ScottRichard E ClarkTessa L HolyoakeHelen WheadonMhairi Copland
Published in: Leukemia (2020)
The introduction of BCR-ABL tyrosine kinase inhibitors has revolutionized the treatment of chronic myeloid leukemia (CML). A major clinical aim remains the identification and elimination of low-level disease persistence, termed "minimal residual disease". The phenomenon of disease persistence suggests that despite targeted therapeutic approaches, BCR-ABL-independent mechanisms exist which sustain the survival of leukemic stem cells (LSCs). Although other markers of a primitive CML LSC population have been identified in the preclinical setting, only CD26 appears to offer clinical utility. Here we demonstrate consistent and selective expression of CD93 on a lin-CD34+CD38-CD90+ CML LSC population and show in vitro and in vivo data to suggest increased stem cell characteristics, as well as robust engraftment in patient-derived xenograft models in comparison with a CD93- CML stem/progenitor cell population, which fails to engraft. Through bulk and single-cell analyses of selected stem cell and cell survival-specific genes, we confirmed the quiescent character and demonstrate their persistence in a population of CML patient samples who demonstrate molecular relapse on TKI withdrawal. Taken together, our results identify that CD93 is consistently and selectively expressed on a lin-CD34+CD38-CD90+ CML LSC population with stem cell characteristics and may be an important indicator in determining poor TKI responders.
Keyphrases
  • chronic myeloid leukemia
  • stem cells
  • cell therapy
  • single cell
  • nk cells
  • genome wide
  • tyrosine kinase
  • poor prognosis
  • mesenchymal stem cells
  • electronic health record
  • bone marrow
  • artificial intelligence
  • single molecule