Anti-Angiogenesis Therapeutic Indicators in Breast Cancer

Abstract

This project was proposed to study therapeutic indicators for anti-angiogenic therapy. Two different animal tumor models were studied, R323O AC adenocarcinoma and carcinogen ENU induced tumors. Longitudinal MRI studies were performed before and during therapy to monitor the changes occurring over the entire treatment period. Immunohistochemical analysis was performed to measure 4 molecular markers p53, TSP-l, VEGF and factor VIII microvessel density in pre-treatment and post-treatment specimens. ENU induced tumors came with different types, thus could simulate the wide variation of human breast cancer. However, the tumor also showed a very complicated response pattern. All MRI markers and IHC markers were correlated with final treatment outcome. Unlike in humans, the early volumetric changes did not predict outcome. The contrast enhancement kinetics measured using the blood pool agent Gadomer-l7 may provide an indication for therapy response. The vascular volume measured by Gadomer-l7 decreased in responder, and increased in non-responders. Also the baseline vascularity measured by Gadomer-l7 was associated with future response, possibly due to a higher blood supply thus more delivery of therapeutic agents. The developed methodology is currently applied in human studies, and that is expected to yield more interesting results in understanding chemotherapy induced changes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA429932

Entities

People

  • Min-ying L. Su

Organizations

  • University of California, Irvine

Tags

DTIC Thesaurus Topics

  • Adenocarcinoma
  • Angiogenesis
  • Blood
  • Blood Coagulation Factors
  • Blood Vessels
  • Blood Volume
  • Breast Cancer
  • Cancer
  • Carcinogens
  • Carcinoma
  • Chemotherapy
  • Medical Personnel
  • Microvessels
  • Neoplasms
  • Oncology
  • Statistical Analysis
  • Therapy

Fields of Study

  • Medicine

Readers

  • Immunology
  • Oncology (Cancer Research).
  • Oncology and Biomarker-Based Cancer Detection.