Critical clinical gaps in cancer precision nanomedicine development

Wendy Wei Gan1, Lai Wah Chan1, Wenji Li2

  • 1Department of Pharmacy, Faculty of Science, National University of Singapore, 18 Science Drive 4, 117543, Republic of Singapore.

Insights

Personalized nanomedicine for cancer requires matching targeting ligands and matrix materials to patient-specific cancer omics profiles. This ensures effective drug delivery by avoiding premature digestion and receptor mismatches.

Area of Science:

  • Nanomedicine
  • Cancer Research
  • Precision Medicine

Background:

  • Active targeting strategies are crucial in nanomedicine for cancer treatment.
  • Personalizing nanomedicine based on patient omics data faces challenges in selecting appropriate targeting ligands and matrix materials.
  • Current literature indicates a gap in selecting nanoparticulate components based on individual cancer omics profiles.

Purpose of the Study:

  • To address the challenges in selecting targeting ligands and matrix materials for personalized nanomedicine.
  • To highlight the influence of patient demographics (age, gender, ethnicity, geography) on cancer-related molecular targets.
  • To emphasize the need for omics analysis in nanomedicine development for effective cancer treatment.

Main Methods:

  • Review of nanomedicine literature from the past five years focusing on material selection.
  • Analysis of factors influencing the expression of cancer cellular target receptors and metabolizing enzymes.
  • Correlation of patient omics data with nanomedicine component selection.

Main Results:

  • Nanoparticulate targeting ligand and matrix material selection is not currently based on patient-specific cancer omics profiles.
  • Patient-specific metabolizing enzymes can prematurely degrade nanomedicine components, and targeting ligands may not match overexpressed cancer cell receptors.
  • Individual omics analysis of metabolizing enzymes and cell surface receptors is essential.

Conclusions:

  • Personalized nanomedicine development requires integrating patient omics data for informed selection of targeting ligands and matrix materials.
  • Addressing patient-specific factors like enzyme expression and receptor profiles is critical for successful nanomedicine efficacy.
  • Omics-driven selection facilitates the realization of personalized nanomedicine strategies in cancer therapy.