Meta-data analysis as a strategy to evaluate individual and common features of proteome changes in breast cancer
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Background: Individual differences among breast tumours in patients is a significant challenge for the treatment of breast cancer. This study reports a strategy to assess these individual differences and the common regulatory mechanisms that may underlie breast tumourigenesis. Materials and Methods: The two-step strategy was based firstly on a full-scale proteomics analysis of individual cases, and secondly on the analysis of common features of the individual proteome-centred networks (metadata). Results: Proteome profiling of human invasive ductal carcinoma tumours was performed and each case was analysed individually. Analysis of primary datasets for common cancer-related proteins identified keratins. Analysis of individual networks built with identified proteins predicted features and regulatory mechanisms involved in each individual case. Validation of these findings by immunohistochemistry confirmed the predicted deregulation of expression of CK2a, PDGFRa, PYK and p53 proteins. Conclusion: Meta-data analysis allowed efficient evaluation of both individual and common features of the breast cancer proteome.
Cancer Genomics and Proteomics
© 2010 International Institute of Anticancer Research. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Medical Biochemistry: Proteins and Peptides (incl. Medical Proteomics)