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Updated: May 8, 2026
Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
In vitro and in vivo models for analysis of resistance to anticancer molecular therapies
Roberta Rosa, Francesca Monteleone, Nicola Zambrano
1Dipartimento di Medicina Clinica e Chirurgia and Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Via S. Pansini 5, 80131 Napoli, Italy. robianco@unina.it.
Abstract:
The efficacy of classical and molecular therapies in cancer is hampered by the occurrence of primary (intrinsic) and secondary (acquired) refractoriness of tumours to selected therapeutic regimens. Nevertheless, the increased knowledge of the genetic, molecular and metabolic mechanisms underlying cancer results in the generation of a correspondingly increasing number of druggable targets and molecular drugs. Thus, a current challenge in molecular oncology and medicinal chemistry is to cope with the increased need for modelling, both in cellular and animal systems, the genetic assets associated to cancer resistance to drugs. In this review, we summarize the current strategies for generation and analysis of in vitro and in vivo models, which may reveal useful to extract information on the molecular basis of intrinsic and acquired resistance to anticancer molecular agents.
Insights
This review covers strategies for creating and analyzing cancer models to understand drug resistance. It aims to improve treatments by studying intrinsic and acquired resistance mechanisms in molecular oncology.
Area of Science:
- Molecular Oncology
- Medicinal Chemistry
- Cancer Biology
Background:
- Cancer therapies face challenges due to primary (intrinsic) and secondary (acquired) drug resistance.
- Advances in understanding cancer genetics, molecular pathways, and metabolism yield new drug targets and therapies.
Purpose of the Study:
- To review current strategies for generating and analyzing in vitro and in vivo models of cancer drug resistance.
- To provide insights into the molecular basis of intrinsic and acquired resistance to anticancer drugs.
Main Methods:
- Summarizing existing methodologies for creating cellular and animal models.
- Discussing analytical approaches for studying drug resistance mechanisms in these models.
Main Results:
- Identified various strategies for modeling cancer drug resistance.
- Highlighted the utility of these models in uncovering molecular resistance mechanisms.
Conclusions:
- Effective modeling is crucial for advancing molecular oncology and medicinal chemistry.
- Understanding resistance mechanisms through modeling can lead to improved cancer treatment strategies.
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