Structural regression modelling of peptide based drug delivery vectors for targeted anti-cancer therapy

Yvonne Christian1, Amay Sanjay Redkar1, Naveen Kumar1

  • 1Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.

Insights

Engineered peptides show promise for targeted cancer drug delivery, overcoming resistance and reducing side-effects. These novel peptides enhance drug uptake and efficacy in cancer cells, leading to significant tumor reduction in vivo.

Area of Science:

  • Biochemistry and Molecular Biology
  • Drug Delivery Systems
  • Cancer Research

Background:

  • Drug resistance in cancer presents a significant challenge to effective treatment.
  • Conventional therapies often cause adverse side effects due to their lack of specificity.
  • Peptide-based drug delivery vectors face challenges in stability and specificity.

Purpose of the Study:

  • To design, synthesize, and characterize peptides with modulated electrostatic signatures for targeted cancer therapy.
  • To evaluate the efficacy of peptide-drug conjugates in enhancing cancer cell uptake and cytotoxicity.
  • To investigate the in vivo performance of optimized peptides in reducing tumor growth.

Main Methods:

  • Utilized structural regression modeling for peptide design.
  • Synthesized and characterized peptides with varying amino acid positioning and electrostatic properties.
  • Conjugated peptides with a fluorophore (5(6)-carboxyfluorescein) for cellular uptake studies and with methotrexate for cytotoxicity assays.
  • Performed in vitro studies on cancer cell lines and in vivo studies on tumor-bearing mice.

Main Results:

  • Peptides exhibited differential uptake in cancer cells, with some localizing in lysosomes.
  • Methotrexate-conjugated peptides demonstrated enhanced cytotoxicity and induced apoptosis in triple-negative breast cancer cells.
  • Peptides showed comparable uptake in lung cancer side-population cells with stem-cell-like properties.
  • In vivo studies revealed significant tumor size reduction in mice treated with the most optimized peptide.

Conclusions:

  • Peptides can be engineered for targeted drug delivery in cancer treatment.
  • Stereochemical engineering of the peptide backbone can enhance resistance to proteolytic enzymes.
  • Modulating peptide electrostatic signatures can control cellular penetration into cancer cells, offering a promising strategy for overcoming drug resistance.