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Updated: May 25, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Array-based pharmacogenomics of molecular-targeted therapies in oncology
D Sanoudou1, G Mountzios, D A Arvanitis
1Department of Pharmacology, Medical School, University of Athens, Athens, Greece. dsanoudo@enders.tch.harvard.edu
Abstract:
The advent of microarrays over the past decade has transformed the way genome-wide studies are designed and conducted, leading to an unprecedented speed of acquisition and amount of new knowledge. Microarray data have led to the identification of molecular subclasses of solid tumors characterized by distinct oncogenic pathways, as well as the development of multigene prognostic or predictive models equivalent or superior to those of established clinical parameters. In the field of molecular-targeted therapy for cancer, in particular, the application of array-based methodologies has enabled the identification of molecular targets with 'key' roles in neoplastic transformation or tumor progression and the subsequent development of targeted agents, which are most likely to be active in the specific molecular setting. Herein, we present a summary of the main applications of whole-genome expression microarrays in the field of molecular-targeted therapies for solid tumors and we discuss their potential in the clinical setting. An emphasis is given on deciphering the molecular mechanisms of drug action, identifying novel therapeutic targets and suitable agents to target them with, and discovering molecular markers/signatures that predict response to therapy or optimal drug dose for each patient.
Insights
Whole-genome expression microarrays accelerate cancer research, identifying tumor subclasses and aiding targeted therapy development. These tools help discover drug targets and predict patient response to treatment.
Area of Science:
- Genomics
- Oncology
- Molecular Biology
Background:
- Microarray technology has revolutionized genome-wide studies over the past decade.
- Microarray data has identified molecular subclasses in solid tumors and developed prognostic models.
- Array-based methods are crucial for identifying molecular targets in cancer therapy.
Purpose of the Study:
- To summarize whole-genome expression microarray applications in molecular-targeted cancer therapies.
- To discuss the clinical potential of these array-based methodologies.
- To highlight the role of microarrays in deciphering drug mechanisms and identifying predictive markers.
Main Methods:
- Application of whole-genome expression microarrays.
- Analysis of microarray data for identifying molecular subclasses and targets.
- Review of studies on molecular-targeted therapies for solid tumors.
Main Results:
- Identification of distinct oncogenic pathways in solid tumor subclasses.
- Development of multigene prognostic and predictive models.
- Enabling the discovery of molecular targets and targeted therapeutic agents.
Conclusions:
- Whole-genome expression microarrays are vital for advancing molecular-targeted cancer therapies.
- These technologies facilitate the identification of novel therapeutic targets and drug candidates.
- Microarrays aid in discovering biomarkers for predicting treatment response and optimizing drug dosage.
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