Bivariate analysis of the p53 pathway to evaluate Ad-p53 gene therapy efficacy

J W Jacobberger1, R M Sramkoski, D Zhang

  • 1Cancer Research Center, Case Western Reserve University, Cleveland, Ohio.

Cytometry
|October 12, 1999
PubMed
Abstract

Insights

A new flow cytometry method assesses adenovirus-mediated p53 gene therapy (Ad-p53) efficacy. This technique measures gene transfer and p53 protein activity, crucial for cancer treatment research.

Area of Science:

  • Oncology
  • Molecular Biology
  • Gene Therapy

Background:

  • Adenovirus vectors for gene therapy in human tumors face challenges in assessing treatment efficacy.
  • Traditional endpoints lack information on gene transfer, function, and cellular response.
  • A novel flow cytometry approach was developed to address these limitations.

Purpose of the Study:

  • To develop a flow cytometric assay for evaluating adenovirus-mediated p53 gene therapy (Ad-p53).
  • To quantify p53 protein levels, assess p53 activity via mdm2, and estimate infection rates.
  • To provide a comprehensive method for monitoring Ad-p53 vector performance.

Main Methods:

  • Utilized prostate and ovarian cancer cell lines with varying p53 statuses.
  • Developed dual-parameter flow cytometry using anti-p53 (DO-7) and anti-mdm2 (IF2) antibodies.
  • Assessed gene transfer, p53 activity, and cellular effects (G1 arrest, apoptosis) post-infection with Ad-p53 or Ad-luc control.

Main Results:

  • Validated antibody specificity and optimized staining conditions for flow cytometry.
  • Detected increased p53 and mdm2 immunoreactivity post-Ad-p53 infection, indicating gene transfer and activity.
  • Observed G1 arrest and/or apoptosis in cancer cells following Ad-p53 treatment, confirming biological effects.

Conclusions:

  • A robust flow cytometry method was established to measure Ad-p53 gene therapy vector efficacy.
  • The assay successfully detects both the transfer of the p53 gene and the functional activity of the transferred gene product.
  • This approach enhances the evaluation of gene therapy strategies in cancer treatment.