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Updated: May 20, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Combinatorial drug therapy for cancer in the post-genomic era
Bissan Al-Lazikani1, Udai Banerji, Paul Workman
1Cancer Research UK Cancer Therapeutics Unit, Division of Cancer Therapeutics, The Institute of Cancer Research, Haddow Laboratories, Sutton, UK. bissan.al-lazikani@icr.ac.uk
Abstract:
Over the past decade, whole genome sequencing and other 'omics' technologies have defined pathogenic driver mutations to which tumor cells are addicted. Such addictions, synthetic lethalities and other tumor vulnerabilities have yielded novel targets for a new generation of cancer drugs to treat discrete, genetically defined patient subgroups. This personalized cancer medicine strategy could eventually replace the conventional one-size-fits-all cytotoxic chemotherapy approach. However, the extraordinary intratumor genetic heterogeneity in cancers revealed by deep sequencing explains why de novo and acquired resistance arise with molecularly targeted drugs and cytotoxic chemotherapy, limiting their utility. One solution to the enduring challenge of polygenic cancer drug resistance is rational combinatorial targeted therapy.
Insights
Personalized cancer medicine uses
Area of Science:
- 'Omics' technologies and cancer genomics
- Translational oncology and drug discovery
- Tumorigenesis and cancer genetics
Background:
- Whole genome sequencing and 'omics' technologies identify tumor vulnerabilities.
- Cancer cells exhibit dependencies on specific mutations, termed 'addictions'.
- These vulnerabilities offer targets for precision cancer therapies.
Purpose of the Study:
- To discuss the shift from conventional chemotherapy to personalized cancer medicine.
- To address the challenge of drug resistance driven by intratumor heterogeneity.
- To propose combinatorial targeted therapy as a solution for polygenic resistance.
Main Methods:
- Review of advances in whole genome sequencing and 'omics' technologies.
- Analysis of genetic heterogeneity in tumors.
- Conceptual framework for rational combinatorial targeted therapy.
Main Results:
- Personalized medicine targets genetically defined patient subgroups.
- Intratumor genetic heterogeneity drives resistance to targeted and cytotoxic drugs.
- Combinatorial targeted therapy is a promising strategy to overcome polygenic resistance.
Conclusions:
- Personalized cancer medicine offers an alternative to traditional chemotherapy.
- Overcoming drug resistance requires addressing tumor heterogeneity.
- Rational combinatorial targeted therapy is essential for durable cancer treatment.
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