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Updated: Jun 6, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Preclinical development of molecular-targeted agents for cancer
Alberto Ocana1, Atanasio Pandiella, Lillian L Siu
1Medical Oncology Department and AECC Unit, Albacete University Hospital, Hermanos Falco 37, 2006 Albacete, Spain.
Abstract:
Molecular-targeted agents are increasingly used for the treatment of cancer. However, the attrition rate for drugs that enter early clinical trials is higher than for other branches of internal medicine, suggesting that preclinical development has not been successful in identifying agents that can modify the outcome of human cancer. New preclinical strategies including genetically engineered mouse models and small-interfering RNAs are being used to evaluate novel agents, and have aided in the development of compounds, such as inhibitors of phosphatidylinositol 3-kinase or poly(ADP-ribose) polymerase. In addition, these techniques have helped in the identification of promising combinations of targeted drugs. In this Review, we describe methods for the preclinical evaluation of novel agents, their limitations, and strategies for improvement.
Insights
Preclinical strategies for cancer drugs face high failure rates. New methods like genetically engineered mouse models and small-interfering RNAs improve the evaluation of molecular-targeted agents and drug combinations.
Area of Science:
- Oncology
- Pharmacology
- Biotechnology
Background:
- Molecular-targeted agents are crucial in cancer therapy.
- High attrition rates in early clinical trials indicate preclinical development challenges.
- Identifying effective agents to improve human cancer outcomes remains difficult.
Purpose of the Study:
- To review current preclinical strategies for evaluating novel molecular-targeted agents in cancer.
- To discuss the limitations of existing preclinical methods.
- To propose strategies for enhancing preclinical drug development.
Main Methods:
- Genetically engineered mouse models (GEMMs) for in vivo testing.
- Small-interfering RNAs (siRNAs) for target validation and drug screening.
- Evaluation of novel agents, including phosphatidylinositol 3-kinase (PI3K) and poly(ADP-ribose) polymerase (PARP) inhibitors.
- Identification of promising targeted drug combinations.
Main Results:
- GEMMs and siRNAs aid in developing novel targeted compounds.
- These techniques facilitate the discovery of effective drug combinations.
- Preclinical models are evolving to better predict clinical efficacy.
Conclusions:
- Improved preclinical evaluation methods are essential for reducing drug attrition rates.
- Advanced techniques like GEMMs and RNA interference offer promising avenues for cancer drug development.
- Optimizing preclinical strategies can lead to more successful targeted cancer therapies.
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