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Updated: Aug 22, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Pharmacogenomics: road to anticancer therapeutics nirvana?
Apurva A Desai1, Federico Innocenti, Mark J Ratain
1Department of Medicine, The University of Chicago, Chicago, IL, USA.
Abstract:
Interindividual differences in the toxicity and response to anticancer therapies are currently observed for essentially all available treatment regimens. Such 'unpredictable' drug responses are particularly dangerous in the context of anticancer agents that have narrow therapeutic indices. Pharmacogenomics attempts to elucidate the inherited basis of interindividual differences in drug response, with the eventual goal of minimizing such variability through the use of 'individualized' treatments. There are several emerging examples of genetic polymorphisms of drug-metabolizing enzymes, DNA repair genes and drug targets that have been shown to influence the toxicity and efficacy of anticancer treatment. This review discusses the role of genetic variants of UGT1A1, TS and EGFR to exemplify the potential impact of phramacogenomics on the field of anticancer therapeutics.
Insights
Pharmacogenomics helps predict patient responses to cancer drugs by studying genetic variations. This approach aims to personalize treatments, improving efficacy and reducing toxicity for better patient outcomes.
Area of Science:
- Oncology
- Pharmacogenomics
- Genetics
Background:
- Interindividual variability in anticancer drug response and toxicity is a significant clinical challenge.
- Unpredictable drug responses are especially dangerous for anticancer agents with narrow therapeutic indices.
- Pharmacogenomics seeks to understand the genetic basis of these differences to enable individualized cancer treatments.
Purpose of the Study:
- To review the role of pharmacogenomics in anticancer therapeutics.
- To highlight how genetic variants influence the efficacy and toxicity of cancer treatments.
- To exemplify the impact of pharmacogenomics using specific gene variants.
Main Methods:
- Review of existing literature on pharmacogenomics in oncology.
- Analysis of genetic polymorphisms in drug-metabolizing enzymes, DNA repair genes, and drug targets.
- Focus on specific examples including UGT1A1, TS, and EGFR genetic variants.
Main Results:
- Genetic polymorphisms in key genes demonstrably affect anticancer drug toxicity and efficacy.
- Variants in UGT1A1, TS, and EGFR are shown to influence treatment outcomes.
- Pharmacogenomic data provides a basis for predicting and managing interindividual drug responses.
Conclusions:
- Pharmacogenomics holds significant potential for optimizing anticancer therapy.
- Understanding genetic variations can lead to more individualized and effective cancer treatment strategies.
- Personalized medicine approaches guided by pharmacogenomics can improve patient safety and treatment success in oncology.
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