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Cancer Biomarkers - New Methods of Discovery

17th January 2012, 5pm-7pm at BioCity Nottingham

Scientists have been searching for cancer biomarkers for many years, but the methods of discovery have changed as new technologies have been developed.

Professor Graham Ball PhD BSc (hons)FSB
NottinghamTrent University/ CompanDX Ltd

Title: Development of prognostics models form clinical population models to genomic personalised predictions.

Cancer is a complex disease with a myriad of forms and prognoses occurring within each type. For example in breast cancer using genomic profiling in excess of 80 sub types have been identified. The ability to characterise the disease for each patient may offer the potential to assess the molecular sub-type of the disease and thus accurately determine the patients’ prognostic outcome. Methodologies such as mass spectrometry based proteomics and gene expression arrays offer the potential for characterisation of disease derived samples using a huge number of proteins or genes. This depth of information while providing a comprehensive overview of a disease state also proves problematic in its complexity. One has to search through potentially hundreds of thousands of pieces of information for consistent features that address a clinical question in the population.

Andrew McEwen, PhD, Chief Scientist,
Department of Metabolism

Quotient Bioresearch

Title: MALDI – The Alternative to QWBA

Imaging mass spectrometry offers the promise of direct examination of molecules, metabolites and biomarkers in cells and tissues. Using MALDI thespatial distribution information can be obtained which makes it potentially anideal tool for diagnostic and molecular histology studies. This presentation will provide an overview of the technology involved from sample preparation toimage generation and discuss whether the MALDI technique will be provide newinsights in to molecular processes in living tissue.


To register for this free event, please click here

This is a joint event with Medilink East Midlands


    



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