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Updated: Jun 25, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Genomancy: predicting tumour response to cancer therapy based on the oracle of genetics
P D Williams1, J K Lee, D Theodorescu
1Department of Public Health Sciences, Paul Mellon Urologic Cancer Institute, University of Virginia, Charlottesville, VA, U.S.A.
Abstract:
Cells are complex systems that regulate a multitude of biologic pathways involving a diverse array of molecules. Cancer can develop when these pathways become deregulated as a result of mutations in the genes coding for these proteins or of epigenetic changes that affect gene expression, or both1,2. The diversity and interconnectedness of these pathways and their molecular components implies that a variety of mutations may lead to tumorigenic cellular deregulation3-6. This variety, combined with the requirement to overcome multiple anticancer defence mechanisms7, contributes to the heterogeneous nature of cancer. Consequently, tumours with similar histology may vary in their underlying molecular circuitry8-10, with resultant differences in biologic behaviour, manifested in proliferation rate, invasiveness, metastatic potential, and unfortunately, response to cytotoxic therapy. Thus, cancer can be thought of as a family of related tumour subtypes, highlighting the need for individualized prediction both of disease progression and of treatment response, based on the molecular characteristics of the tumour.
Insights
Cancer arises from complex cellular pathway dysregulation due to genetic mutations or epigenetic changes. Understanding tumor molecular characteristics is crucial for predicting disease progression and personalizing treatment response.
Area of Science:
- Molecular Biology
- Oncology
- Genetics
Background:
- Cells possess intricate biological pathways regulated by diverse molecules.
- Cancer develops when these cellular pathways deregulate due to genetic mutations or epigenetic alterations.
- Pathway interconnectedness and multiple anticancer defenses contribute to cancer's heterogeneity.
Purpose of the Study:
- To highlight the molecular basis of cancer heterogeneity.
- To emphasize the need for individualized cancer treatment strategies.
- To underscore the importance of molecular profiling for predicting tumor behavior and therapy response.
Main Methods:
- Review of existing literature on cancer biology and molecular mechanisms.
- Analysis of genetic and epigenetic factors contributing to tumorigenesis.
- Correlation of molecular circuitry with tumor characteristics and treatment outcomes.
Main Results:
- Diverse mutations and epigenetic changes can lead to deregulated cellular pathways and tumorigenesis.
- Tumor heterogeneity arises from variations in molecular circuitry, impacting biological behavior.
- Similar histology tumors can exhibit distinct molecular profiles, affecting clinical outcomes.
Conclusions:
- Cancer is a family of related tumor subtypes, not a single disease.
- Individualized prediction of disease progression and treatment response is essential.
- Molecular characteristics of a tumor are key to personalized oncology.
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