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Meta-data analysis as a strategy to evaluate individual and common features of proteomic changes in breast cancer
Department of Oncology-Pathology, Karolinska Biomics Center, Karolinska Institute, Stockholm.
Helen Rollason Research Laboratory, Anglia Ruskin University, Chelmsford, United Kingdom.
Faculty of Biology, University of Warmia and Mazury, Olsztyn, Poland.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm , Ludwig Institute for Cancer Research.
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2011 (English)In: Cancer Genomics & Proteomics, ISSN 1109-6535, Vol. 8, no 1, 1-14 p.Article in journal (Refereed) Published
Abstract [en]

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 (meta-data). RESULTS: Proteomic 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 CK2α, PDGFRα, PYK and p53 proteins. CONCLUSION: Meta-data analysis allowed efficient evaluation of both individual and common features of the breast cancer proteome.

Place, publisher, year, edition, pages
2011. Vol. 8, no 1, 1-14 p.
Keyword [en]
Proteomics, breast cancer, signalling, meta-data analysis
URN: urn:nbn:se:uu:diva-149878ISI: 000288314000001PubMedID: 21289332OAI: oai:DiVA.org:uu-149878DiVA: diva2:405870
Available from: 2011-03-24 Created: 2011-03-24 Last updated: 2012-02-15Bibliographically approved

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