Tumor Oxygen Dynamics as a Prognostic Indicator of Effective Antiangiogenic Therapy

Abstract

Tumor survival, growth and metastasis depend critically on the development of new blood vessels: so called angiogenesis. One major goal of this project is to fully understand and precisely assess the dynamic changes in blood perfusion and oxygenation, both during normal growth and following anti-angiogenic therapy in several prostate tumors with differential characteristics, so that we may predict response and optimize the therapy. Combined BOLD (Blood oxygen level dependent) MRI with our FREDOM (Fluorocarbon Relaxometry using Echo planar imaging for Dynamic Oxygen Mapping) MR, our results showed that significantly better oxygenation was found in the well differentiated and slower growing H and HI tumors, compared with anaplastic or metastatic, faster growing ATl and MAT-Lu tumors. These MRI data has been compared and validated by cellular and molecular biology. Compared with the level of hypoxia (pimonidazole) and vasculature (CD3l) in H and HI tumors, the ATl tumors have a higher labelling index for pimonidazole and lower vascular density. An interesting finding is that expression of HIF-la and VEGF was found in relatively well differentiated and oxygenated H and HI tumors, which did not overlap with hypoxic regions recognized by pimonidazole. However, there was no expression in the ATl tumors.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2002
Accession Number
ADA407194

Entities

People

  • Dawen Zhao
  • Ralph P. Mason

Organizations

  • University of Texas at Dallas

Tags

DTIC Thesaurus Topics

  • Biology
  • Blood
  • Blood Vessels
  • Breast Cancer
  • Chemistry
  • Health Services
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Molecules
  • Neoplasms
  • Oncology
  • Operating Systems
  • Prostate
  • Prostate Cancer
  • Radiation Oncology
  • Resonance

Fields of Study

  • Biology
  • Medicine

Readers

  • Cardiovascular Physiology
  • Medical Imaging.
  • Oncology (Cancer Research).