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Updated: Mar 12, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
New strategies for targeting drug combinations to overcome mutation-driven drug resistance
Linyan Wang1, Haiyun Wang2, Dongli Song1
1Zhongshan Hospital Institute of Clinical Science, Fudan University, Shanghai Institute of Clinical Bioinformatics, Biomedical Research Center, Shanghai, China.
Abstract:
Targeted therapies are suggested as an effective alternative for patients with cancer that harbor mutations, but treatment outcomes are frequently limited by primary or acquired drug resistance. The present review describes potential mechanisms of primary or acquired drug resistances to provide a resource for considering how to be overcome. We focus on strategies of targeted drug combinations to minimize the development of drug resistance within the context how resistance develops. Strategies benefit from the combined use of "omics" technologies, i.e., high-throughput functional genomics data, pharmacogenomics, or genome-wide CRISPR-Cas9 screening, to analyze and design targeted drug combinations for mutation-driven drug resistance. We also introduce new insights towards pathway-centric combined therapies as an alternative to overcome the heterogeneity and benefit patient prognoses.
Insights
Targeted cancer therapies face resistance. This review explores drug resistance mechanisms and highlights targeted drug combinations and omics technologies to overcome resistance and improve patient outcomes.
Area of Science:
- Oncology
- Pharmacology
- Genomics
Background:
- Targeted therapies offer promise for mutation-driven cancers.
- Drug resistance, both primary and acquired, limits treatment efficacy.
- Understanding resistance mechanisms is crucial for improving patient outcomes.
Purpose of the Study:
- To review mechanisms of drug resistance in targeted cancer therapy.
- To explore strategies for overcoming drug resistance, focusing on drug combinations.
- To highlight the role of omics technologies in designing effective combination therapies.
Main Methods:
- Literature review of drug resistance mechanisms.
- Analysis of targeted drug combination strategies.
- Discussion of omics technologies (functional genomics, pharmacogenomics, CRISPR-Cas9 screening) for resistance analysis.
Main Results:
- Identified key mechanisms of primary and acquired drug resistance.
- Proposed targeted drug combinations as a strategy to minimize resistance.
- Emphasized the utility of omics data in designing combination therapies.
Conclusions:
- Drug resistance remains a significant challenge in targeted cancer therapy.
- Combination therapies, guided by omics data, offer a promising approach to overcome resistance.
- Pathway-centric therapies may improve patient prognosis by addressing heterogeneity.
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