Selective in vivo metabolic cell-labeling-mediated cancer targeting

Hua Wang1, Ruibo Wang1, Kaimin Cai1

  • 1Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

Nature Chemical Biology
|February 14, 2017
PubMed

Insights

Researchers developed novel sugars for precise cancer cell labeling, enhancing targeted therapy. This method uses cancer-specific enzymes to activate sugar modification, improving drug delivery and treatment efficacy in various cancer models.

Area of Science:

  • Biochemistry
  • Chemical Biology
  • Molecular Oncology

Background:

  • Distinguishing cancer cells from normal cells is crucial for effective cancer diagnosis and targeted therapies.
  • Metabolic glycoengineering allows the introduction of chemical receptors on cell surfaces, but achieving cancer-selectivity remains challenging.
  • Current methods lack the specificity needed for precise cancer cell targeting in vivo.

Purpose of the Study:

  • To design and synthesize novel sugar analogs for selective cancer cell labeling.
  • To develop a metabolic glycoengineering strategy that targets cancer cells based on their unique enzymatic environment.
  • To demonstrate the in vitro and in vivo efficacy of cancer-selective labeling for enhanced targeted therapy.

Main Methods:

  • Synthesized an enzymatically activatable analog of tetraacetyl-N-azidoacetylmannosamine (Ac4ManAz) with a caged ether bond.
  • Utilized cancer-overexpressed enzymes (histone deacetylase and cathepsin L) for selective cleavage of the cage.
  • Applied click chemistry to link cell-surface azide groups to a doxorubicin conjugate for targeted drug delivery.

Main Results:

  • The developed azidomannosamine analog selectively labeled cancer cells in vitro and in vivo.
  • Enzymatic cleavage of the caged ether bond led to cancer-specific overexpression of azide groups on cell surfaces.
  • Enhanced tumor accumulation of the doxorubicin conjugate was observed in LS174T colon, MDA-MB-231 triple-negative breast, and 4T1 metastatic breast cancer models.
  • Successful targeted therapy was demonstrated in mouse models.

Conclusions:

  • Developed a novel strategy for cancer-selective metabolic glycoengineering.
  • Demonstrated the potential of enzymatically activatable sugars for precise cancer cell targeting.
  • This approach significantly enhances the efficacy of targeted cancer therapy by improving drug delivery and accumulation.