Nanoparticles and ultrasound for delivery of model macromolecular anti-cancer drugs in tumors

Y. Ivanova, B. M. Evers, R. Thomas, T. V. Ashitkov, R. O. Esenaliev

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


Penetration of macromolecular anti-cancer agents from blood into tumor cells is poor due to the physiological barriers: tumor capillary wall, interstitium, and cancer cell membrane. We proposed to use laser- or ultrasound-induced cavitation to enhance anti-cancer drug delivery through these barriers. Interaction of ultrasound with exogenous nanoparticles with certain acoustic properties may provide cavitation selectively in tumors and, therefore, may provide safe and efficient delivery of anti-cancer drugs in cancer cells without damage to normal tissues. In this paper, we studied enhanced delivery of model macromolecular anti-cancer drugs with ultrasound-induced cavitation in mice bearing human colon (KM20) and breast (MCF-7) tumors. Fluorescent rhodamine-dextrans of different molecular weight (10, 70, and 2,000 kDa) served as model drugs simulating antisense oligonucleotides, antibodies, and genes, respectively. Immunohistochemical staining of tumor vasculature with CD31 was used to visualize tumor blood vessels. Our studies demonstrated enhanced penetration of the drugs from blood vessels into tumor interstitium when ultrasound was applied in combination with polymer nanoparticle injections. Our results suggest that this drug delivery technique can potentially be used for efficient cancer chemo- and biotherapy.

Original languageEnglish
Pages (from-to)504-505
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002


  • Cancer therapy
  • Drug delivery
  • Nanoparticle
  • Ultrasound

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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