Proteomic analysis of biomarkers associated with immunotherapy in murine tumour models

Vafadar-Isfahani, B., 2009. Proteomic analysis of biomarkers associated with immunotherapy in murine tumour models. PhD, Nottingham Trent University.

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Abstract

Emergence of proteomics and high-throughput technologies has allowed the identification of protein expression patterns of disease that potentially hold clinical importance in predictive medicine. The analysis of complex data generated by these technologies incorporates the use of computer algorithms for data mining and identification of important protein biomarkers. Such candidate biomarkers can potentially be used for diagnosis, prognosis and monitoring a variety of diseases as well as the prediction of therapy response. Mass spectrometry has been used widely, for the discovery and quantitation of disease associated biomarkers using a variety of samples such as serum and tissue. In particular, matrix assisted laser desorption/ionisation time of flight mass spectrometry (MALDI-TOF MS) has been used to generate proteomic profiles or “fingerprints” from serum to distinguish patients at different clinical stages of disease. Currently, early stage disease is difficult to diagnose in most cancers as current cancer markers have limited sensitivity and specificity. In advanced stage metastatic disease, treatment options are limited, although it is recognised that some patients may benefit from immunotherapy and in particular vaccine therapy. The use of animal models is critical to evaluate the efficacy of immunotherapies and to investigate tumour immunity in general and the mechanisms involved in tumour progression. These models provide an in vivo environment which cannot be reproduced in vitro, which results in more accurate and reliable information on the host response to immunotherapy and the mechanisms involved.

Item Type: Thesis
Creators: Vafadar-Isfahani, B.
Date: 2009
Rights: This work is the intellectual property of the author, and may also be owned by the research sponsor(s) and/or Nottingham Trent University. You may copy up to 5% of this work for private study, or personal, non-commercial research. Any re-use of the information contained within this document should be fully referenced, quoting the author, title, university, degree level and pagination. Queries or requests for any other use, or if a more substantial copy is required, should be directed in the first instance to the author.
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 09:33
Last Modified: 09 Oct 2015 09:33
URI: http://irep.ntu.ac.uk/id/eprint/5

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