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Updated: Aug 27, 2025

Ex Vivo Treatment Response of Primary Tumors and/or Associated Metastases for Preclinical and Clinical Development of Therapeutics
Published on: October 2, 2014
Precision oncology using ex vivo technology: a step towards individualised cancer care?
Sophie T Williams1,2, Greg Wells1, Samantha Conroy1,2,3
1Department of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.
Abstract:
Despite advances in cancer genomics and the increased use of genomic medicine, metastatic cancer is still mostly an incurable and fatal disease. With diminishing returns from traditional drug discovery strategies, and high clinical failure rates, more emphasis is being placed on alternative drug discovery platforms, such as ex vivo approaches. Ex vivo approaches aim to embed biological relevance and inter-patient variability at an earlier stage of drug discovery, and to offer more precise treatment stratification for patients. However, these techniques also have a high potential to offer personalised therapies to patients, complementing and enhancing genomic medicine. Although an array of approaches are available to researchers, only a minority of techniques have made it through to direct patient treatment within robust clinical trials. Within this review, we discuss the current challenges to ex vivo approaches within clinical practice and summarise the contemporary literature which has directed patient treatment. Finally, we map out how ex vivo approaches could transition from a small-scale, predominantly research based technology to a robust and validated predictive tool. In future, these pre-clinical approaches may be integrated into clinical cancer pathways to assist in the personalisation of therapy choices and to hopefully improve patient experiences and outcomes.
Insights
Ex vivo approaches offer promising personalized cancer therapies by incorporating patient variability early in drug discovery. Challenges remain in translating these research tools into validated clinical predictive models for improved patient outcomes.
Area of Science:
- Oncology
- Genomic Medicine
- Drug Discovery
Background:
- Metastatic cancer remains largely incurable despite advances in cancer genomics and genomic medicine.
- Traditional drug discovery faces diminishing returns and high clinical failure rates.
- Ex vivo approaches are emerging as alternative platforms for cancer drug discovery.
Purpose of the Study:
- To review the challenges and current literature for ex vivo approaches in clinical practice.
- To explore the potential of ex vivo methods to enhance genomic medicine and personalize cancer therapy.
- To outline the transition of ex vivo approaches from research tools to validated predictive clinical tools.
Main Methods:
- Literature review of contemporary research on ex vivo approaches in cancer drug discovery.
- Analysis of challenges hindering the clinical translation of ex vivo techniques.
- Mapping the potential pathway for ex vivo approaches to become robust predictive tools.
Main Results:
- Ex vivo approaches embed biological relevance and inter-patient variability early in drug discovery.
- These techniques have the potential to offer personalized therapies and improve treatment stratification.
- A minority of ex vivo techniques have progressed to direct patient treatment in clinical trials.
Conclusions:
- Ex vivo approaches can complement and enhance genomic medicine for personalized cancer treatment.
- Overcoming current challenges is crucial for the clinical integration of ex vivo methods.
- Future integration of ex vivo approaches into clinical cancer pathways may improve patient outcomes and experiences.
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