2011 - Transplantomics and Biomarkers in Transplantation


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Bioinformatics and Biostatistics

10.1 - Prediction of Transplant Outcomes Using Microarray Data

Presenter: Irene, Rebollo-Mesa, London, UK
Authors: Irene Rebollo-Mesa

Prediction of Transplant Outcomes Using Microarray Data

Irene Rebollo-Mesa, MRC Centre for Transplantation, King's College London, London, UK

In transplantation, there is an unmet clinical need to predict transplant outcome. Thus, developing prognostic tests of tolerance and rejection, a well as tests to predict the patients response to immunosuppression are essential to move towards personalised medicine. Microarray assays of gene expression have become a popular route of discovery of novel biomarkers. The usual challenges of the analysis of microarray data are further increased by the complexities of the transplantation setting, i.e. donor-recipient interactions, different types of donors, intense -unavoidable- immunosuppression, infections, etc. In this context a careful research design and a detailed methodological planning can determine a successful outcome of research projects that are often long-term and highly intense in management needs. Additionally, the use of appropriate validation methods, internal and external are essential to ensure a seamless translation from basic discovery research to clinical trials and application into the clinic.


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