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Updated: May 4, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Drug resistance missense mutations in cancer are subject to evolutionary constraints
1Department of Chemistry and Biomedical Sciences, Linnæus University, Kalmar, Sweden ; Linnæus University Centre for Biomaterials Chemistry, Linnæus University, Kalmar, Sweden.
Abstract:
Several tumour types are sensitive to deactivation of just one or very few genes that are constantly active in the cancer cells, a phenomenon that is termed 'oncogene addiction'. Drugs that target the products of those oncogenes can yield a temporary relief, and even complete remission. Unfortunately, many patients receiving oncogene-targeted therapies relapse on treatment. This often happens due to somatic mutations in the oncogene ('resistance mutations'). 'Compound mutations', which in the context of cancer drug resistance are defined as two or more mutations of the drug target in the same clone may lead to enhanced resistance against the most selective inhibitors. Here, it is shown that the vast majority of the resistance mutations occurring in cancer patients treated with tyrosin kinase inhibitors aimed at three different proteins follow an evolutionary pathway. Using bioinformatic analysis tools, it is found that the drug-resistance mutations in the tyrosine kinase domains of Abl1, ALK and exons 20 and 21 of EGFR favour transformations to residues that can be identified in similar positions in evolutionary related proteins. The results demonstrate that evolutionary pressure shapes the mutational landscape in the case of drug-resistance somatic mutations. The constraints on the mutational landscape suggest that it may be possible to counter single drug-resistance point mutations. The observation of relatively many resistance mutations in Abl1, but not in the other genes, is explained by the fact that mutations in Abl1 tend to be biochemically conservative, whereas mutations in EGFR and ALK tend to be radical. Analysis of Abl1 compound mutations suggests that such mutations are more prevalent than hitherto reported and may be more difficult to counter. This supports the notion that such mutations may provide an escape route for targeted cancer drug resistance.
Insights
Cancer drug resistance mutations often follow evolutionary paths, driven by evolutionary pressure. Understanding these patterns may help counter resistance, especially complex compound mutations in genes like Abl1.
Area of Science:
- Oncology
- Genetics
- Evolutionary Biology
Background:
- Oncogene addiction describes cancer cell dependence on specific genes.
- Targeted therapies offer temporary relief but often face relapse due to resistance mutations.
- Compound mutations (≥2 mutations in a single clone) can cause significant drug resistance.
Purpose of the Study:
- To investigate the evolutionary pathways of drug resistance mutations in cancer.
- To analyze how evolutionary pressure shapes the mutational landscape of targeted cancer therapies.
- To explore the prevalence and implications of compound mutations in drug resistance.
Main Methods:
- Bioinformatic analysis of somatic mutations in tyrosine kinase inhibitors.
- Examination of resistance mutations in Abl1, ALK, and EGFR (exons 20 and 21).
- Comparative analysis of mutation types (conservative vs. radical) across different genes.
Main Results:
- The majority of resistance mutations follow predictable evolutionary pathways.
- Mutations favor amino acid substitutions found in related evolutionary proteins.
- Abl1 mutations are often biochemically conservative, while ALK and EGFR mutations are radical.
- Compound mutations in Abl1 appear more prevalent and harder to counteract than previously thought.
Conclusions:
- Evolutionary pressure significantly shapes the landscape of cancer drug resistance mutations.
- Understanding these evolutionary constraints may enable strategies to overcome single point mutations.
- Compound mutations represent a significant challenge and potential escape route in targeted cancer therapy.
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