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Updated: Jun 22, 2026
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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
Predictors of response to interferon therapy
1First Department of Internal Medicine, University of Athens, Greece. hgogas@hol.gr
Current Opinion in Oncology
|June 18, 2009
Summary
Identifying biomarkers for interferon alfa-2b therapy is crucial. This helps select patients likely to benefit, avoiding toxicity in non-responders and improving treatment efficacy.
Area of Science:
- Oncology
- Immunology
- Pharmacogenomics
Background:
- Interferon alfa-2b is a critical treatment in oncology.
- Predicting patient response to interferon alfa-2b remains a challenge.
- Current treatment strategies may expose non-responders to unnecessary toxicity.
Purpose of the Study:
- To identify immunological and disease-related variables predicting clinical benefit from interferon alfa-2b.
- To enable patient selection for interferon alfa-2b therapy, maximizing therapeutic index.
- To avoid exposing non-responsive patients to treatment-related toxicity.
Main Methods:
- Analysis of subgroup data from European Organization for Research and Treatment of Cancer adjuvant trials.
- Translational research on tissue from neoadjuvant high-dose interferon trials.
- Correlative serum and DNA studies from multiple clinical trials (e.g., E1690, E1694, E2696, EORTC 18952, Hellenic Cooperative Oncology Group).
Main Results:
- Discusses subgroup analyses from key adjuvant and neoadjuvant interferon trials.
- Highlights translational research and correlative biomarker studies.
- Presents findings from European and Hellenic cooperative oncology groups.
Conclusions:
- Findings require validation in prospective adjuvant trials.
- Further corroboration in larger patient cohorts is necessary.
- The identified biomarkers hold potential for personalized cancer therapy.
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