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High-throughput Quantitative Real-time RT-PCR Assay for Determining Expression Profiles of Types I and III Interferon Subtypes
Published on: March 24, 2015
Interferon receptor expression regulates the antiproliferative effects of interferons on cancer cells and solid
T Charis Wagner1, Sharlene Velichko, Steven K Chesney
1Department of Immunology, Berlex Bioscience Inc., Richmond, CA 94804, USA.
Abstract:
In addition to antiviral effects, Type I interferons (IFN) have potent antiproliferative and immunomodulatory activities. Because of these properties IFNs have been evaluated as therapeutics for the treatment of a number of human diseases, including cancer. Currently, IFNs have been shown to be efficacious for the treatment of only a select number of cancers. The reason for this is unclear. Recent evidence has demonstrated that some cancer cell types seem to be defective in their ability to respond to IFN. It has been suggested that defects in IFN signaling is one mechanism by which cancer cells escape responsiveness to Type I IFNs and growth control in general. We report that transfection and enhanced expression of the Type I IFN receptor chain (IFNAR2c) in 3 different human cancer cell lines markedly increases the sensitivity of these cells to the antiproliferative effects of IFNs. In cancer cells transfected with IFNAR2c, dose response curves demonstrate a significant decrease in the concentrations of IFN required to achieve maximum cell death. Furthermore, in these transfected cells, we observe a significant increase in the number of cells undergoing apoptosis, as measured by DNA fragmentation and Caspase 3 activation. In addition, using an in vivo xenograft tumor model we show an increase in the effectiveness of systemically delivered Betaseron in decreasing tumor burden in animals in which solid tumors were generated from IFNAR2c transfected cells. These data show that specific regulation of IFN receptor expression can play a major role in determining the clinical outcome of IFN-based cancer therapeutics by regulating the relative sensitivity of cancer cells to IFN-dependent growth control.
Insights
Enhancing Type I Interferon receptor (IFNAR2c) expression in cancer cells increases their sensitivity to Type I Interferon (IFN) therapy, leading to reduced tumor growth and increased apoptosis. This suggests a strategy for improving IFN-based cancer treatments.
Area of Science:
- Immunology
- Oncology
- Molecular Biology
Background:
- Type I interferons (IFN) possess antiproliferative and immunomodulatory properties, making them candidates for cancer therapy.
- However, IFN efficacy is limited to specific cancers, potentially due to defective IFN response in some cancer cells.
- Defects in IFN signaling may allow cancer cells to evade growth control.
Purpose of the Study:
- To investigate if enhancing Type I IFN receptor (IFNAR2c) expression can restore cancer cell sensitivity to IFN's antiproliferative effects.
- To evaluate the impact of increased IFNAR2c expression on IFN-induced apoptosis and in vivo tumor growth.
Main Methods:
- Transfection of three human cancer cell lines to enhance IFNAR2c expression.
- Assessment of IFN dose-response curves for cell death.
- Measurement of apoptosis via DNA fragmentation and Caspase 3 activation.
- In vivo studies using a xenograft tumor model with IFNAR2c-transfected cells.
Main Results:
- Enhanced IFNAR2c expression significantly increased cancer cell sensitivity to IFN's antiproliferative effects.
- Lower IFN concentrations were required to induce maximum cell death in transfected cells.
- Increased apoptosis and Caspase 3 activation were observed in IFNAR2c-expressing cells.
- Systemic Betaseron treatment was more effective in reducing tumor burden in vivo for tumors derived from IFNAR2c-transfected cells.
Conclusions:
- Specific regulation of IFN receptor expression is crucial for determining the clinical effectiveness of IFN-based cancer therapeutics.
- Restoring or enhancing IFNAR2c expression can overcome resistance to IFN-dependent growth control in cancer cells.
- This approach holds potential for improving outcomes in IFN-based cancer therapy.
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