Multivariate meta-analysis of proteomics data from human prostate and colon tumours

Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of methods can be used to obtain systemic information on protein and pathway level on cells and tissues. One fundamental tool in analysing protein expression has been two-dimensional gel electrophoresis (2DE). Several cancer 2DE studies have reported partially redundant lists of differently expressed proteins. To be able to further extract valuable information from existing 2DE data, the power of a multivariate meta-analysis will be evaluated in this work. Results: We here demonstrate a multivariate meta-analysis of 2DE proteomics data from human prostate and colon tumours. We developed a bioinformatic workflow for identifying common patterns over two tumour types. This included dealing with pre-processing of data and handling of missing values followed by the development of a multivariate Partial Least Squares (PL...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Lina Hultin Rosenberg, Bo Franzén, Gert Auer, Janne Lehtiö, Jenny Forshed
• Keywords: BMCBI 2010, Protein, Tumour, Tumour Types