A Partnership Training Program: Studying Targeted Drug Delivery Using Nanoparticles in Breast Cancer Diagnosis and Therapy

Abstract

In the second year of this training grant, 11 faculty members, 7 postdocs, 4 graduate and 6 undergraduate students from 6 departments at the Howard University have been trained in the use of nanoparticles as targeted drug delivery vehicles for cancer diagnosis and therapy. Ten seminars and workshops in cancer, molecular imaging, and nanomedicine have been offered. The trainees have received hands-on training in MRI, optical imaging, cell biology lab techniques, and small animal handling. The two research projects have progressed well. We have improved controlling the size of liposome with a heat sonic method. We studied the stability of surface coating of quantum dots as a model for studying potential toxicity of nanoparticles. We have shown that A-dmDT(390)-scfbDb(PSMA), a single chain Fv fragments of antibody with diphtheria toxin, demonstrates good dual targeted imaging and therapeutic properties. We have shown that a contrast agent encapsulated in liposome with transferrin as a targeting ligand has higher uptake in breast cancer cells and in tumor bearing animals. This year, there are 11 research projects utilizing the facility of the Nanomedicine Core. The Core has become a synergy center, drawing multidisciplinary research using nanotechnology for cancer research.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA568802

Entities

People

  • Paul C Wang

Organizations

  • Howard University

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Cell Physiological Processes
  • Chemical Synthesis
  • Chemistry
  • Health Services
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Medical Personnel
  • Nanotechnology

Fields of Study

  • Medicine

Readers

  • Medical Imaging.
  • Nanoscale Plasmonic Nanotechnology
  • Research Science/Academic Research

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech
  • Quantum Computing