Multi-parametric single cell evaluation defines distinct drug responses in healthy hematologic cells that are

Muntasir M Majumder1, Aino-Maija Leppä2, Monica Hellesøy3

  • 1Institute for Molecular Medicine Finland FIMM, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland muntasir.mamun@helsinki.fi.

Haematologica
|August 24, 2019
PubMed

Insights

Understanding healthy cell drug sensitivity helps identify precise anti-cancer therapies and avoid side effects. This study reveals distinct drug responses across hematopoietic cell types, aiding targeted treatment development.

Area of Science:

  • Hematology
  • Pharmacology
  • Cancer Biology

Background:

  • Innate drug sensitivity in healthy cells can guide anti-cancer therapy selection and predict off-target effects.
  • Characterizing drug responses in major hematopoietic cell types is crucial for developing lineage-specific treatments.

Purpose of the Study:

  • To map the diversity of drug responses across healthy hematopoietic cell types.
  • To correlate drug sensitivity with proteomic and signaling profiles.
  • To assess the predictive value of healthy cell drug responses for neoplastic cells.

Main Methods:

  • Simultaneous assessment of sensitivity to 71 small molecules using multi-parametric flow cytometry.
  • Proteomic and basal signaling profiling of major hematopoietic cell types.
  • Unsupervised hierarchical clustering to identify distinct drug response patterns.

Main Results:

  • Distinct drug responses were observed in healthy hematopoietic cell subsets, clustered by lineage.
  • CD19+/B and CD56+/NK cells showed higher sensitivity to dexamethasone, venetoclax, and midostaurin; monocytes were more sensitive to trametinib.
  • Healthy cell drug responses predicted responses in corresponding malignant cells, with lineage-specific effects of midostaurin noted.

Conclusions:

  • Understanding healthy cell drug sensitivity offers a novel approach for precise anti-cancer therapy.
  • This knowledge can help in avoiding off-target toxicities by predicting drug effects on healthy cells.
  • Drug sensitivity profiling in healthy cells provides a foundation for personalized cancer treatment strategies.

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