Anti-Angiogenic Therapeutic Indictors in Breast Cancer

Abstract

This project studies the therapeutic indicators in ant-angiogenic therapy. Every animal with mammary tumor was scheduled to receive a baseline MRI, core biopsy, then followed by 4 treatments with weekly MRI follow-up. The tumors were categorized into responders, stabilizers, and non-responders depending on the final tumor size compared to the baseline size. The results obtained so far indicated that majority of infiltrating adenocarcinomas were responders and all papillary adenocarcinomas were responders and all papillary adenocarcinomas were stabilizer. The relationship between response and tumor type will be fully investigated when all data are available. In the responders, the Gd-DTPA-BMA enhancement at 2-min after injection showed a decreasing trend with treatment, which was not observed in the non-responders. However, the changes of MRI enhancement parameters with treatment did not show a significant differences among different response groups. We also completed the immunohistochemical staining study using available specimens of ENU induced tumors from another project. The ductal adenocarcinoma had the highest microvessel density, then in order were papillary adenocarcinoma, fibroadenoma, and the adenosis had the lowest microvessel density, which was consistent with the degree of malignancy and benignity. The IHC study on the tumors undergoing chemotherapy are currently in progress.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA421413

Entities

People

  • Min-ying L. Su

Organizations

  • University of California, Irvine

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Adenocarcinoma
  • Biological Staining And Labeling
  • Blood
  • Blood Coagulation Factors
  • Blood Volume
  • Breast Cancer
  • Cancer
  • Carcinogens
  • Carcinoma
  • Chemotherapy
  • Color Coding
  • Contrast Media
  • Demography
  • Drug Therapy
  • Statistical Analysis
  • Therapy

Fields of Study

  • Medicine

Readers

  • Mathematics or Statistics
  • Oncology (Cancer Research).
  • Oncology and Biomarker-Based Cancer Detection.