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Evaluation of ex vivo screening methodology

Project Description

Cancer affects over 14M individuals worldwide each year and in the UK only 50% of patients have a 10 year survival following cancer diagnosis. We strongly believe that personalised medicine and predictive testing could significantly improve these survival rates. The approval of targeted therapies for several tumour types has resulted in a paradigm shift from systemic chemotherapy to more targeted approaches. However, only a sub-population of patients will be treated based on their genetic or protein biomarker profile and for many solid tumours there are still no treatment options available other than systemic chemotherapy. Furthermore, even when genetic aberrations with pathogenic importance can be identified, these may not be pharmaceutically actionable suggesting that genetic biomarkers have proven harder to interpret than previously thought. The student will have the opportunity to investigate an ex vivo based screening approach which is ultimately aimed at predicting the most efficacious treatment for each individual patient without the need for stratification through biomarkers. The student will be trained in all aspects of the ex vivo methodology including sample preparation, dissociation, tissue culture, drug treatment, immunofluorescence staining, advanced microscopy and data analysis. The project will be supervised by a highly experienced and successful supervisory team with excellent publication record. More Information regarding the team can be found here:

Funding Notes

This project is open to self-funded students only.

Entry Requirements:
Candidates must have a first or upper second class honors degree or significant research experience.


Interested candidates should in the first instance contact Professor Sarah Danson, [email protected]

How to apply:
Please complete a University Postgraduate Research Application form available here:

Please clearly state the prospective main supervisor in the respective box and select Oncology and Metabolism as the department.

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