Early Changes in Apoptosis and Proliferation to Predict Response and Resistance to Chemotherapy in the Treatment of Breast Cancer.

Abstract

The project has 2 interconnecting aims: (1) to confirm and extend the observations, that apoptosis is increased and proliferation is decreased in primary breast cancer shortly after chemo and endocrine therapy, such that the predictive power of these changes for clinical response can be assessed, (2) to develop an automated method for analyzing apoptosis in fine needle aspirates (FNAs) taken from breast carcinomas. Aim (1): we have confirmed that apoptosis significantly increases 24 hours after starting chemotherapy and demonstrated that proliferation also falls by a mean of approximately 30% at this time. We have shown that significant changes in proliferation after 21 days chemo, endocrine- or chemoendocrine-therapy occur only in groups responding to treatment. Predictive power remains to be assessed. Aim (2): initially encouraging findings from the application of flow cytometry to apoptotic measurements in FNAs involved the derivation of a statistical approach to the definition of the apoptotic population. The measurements correlated significantly with those made by conventional techniques on tissue sections. Further work indicates that flow cytometry is unlikely reliably to separate the apoptotic population but our preliminary work with Laser Scanning Cytometry indicates that this approach should be applicable to FNAs.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA368573

Entities

People

  • Mitchell Dowsett

Organizations

  • Royal Marsden Hospital

Tags

DTIC Thesaurus Topics

  • Alkanes
  • Apoptosis
  • Biological Staining And Labeling
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Chemistry
  • Chemotherapy
  • Health Services
  • Laboratory Animals
  • Materials
  • Measurement
  • Neoplasms
  • Resistance
  • Therapy

Readers

  • Molecular Biology and Genetics
  • Oncology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Directed Energy