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Serum proteome profiling of metastatic breast cancer using recombinant antibody microarrays.

  • Anders Carlsson
  • Christer Wingren
  • Johan Ingvarsson
  • Peter Ellmark
  • Bo Baldetorp
  • Mårten Fernö
  • Håkan Olsson
  • Carl Borrebaeck
Publishing year: 2008
Language: English
Pages: 472-480
Publication/Series: European Journal of Cancer
Volume: 44
Issue: 3
Document type: Journal article
Publisher: IFAC & Elsevier Ltd.

Abstract english

The driving force behind oncoproteomics is to identify biomarker signatures associated with a particular malignancy. Here, we have for the first time used large-scale recombinant scFv antibody microarrays in an attempt to classify metastatic breast cancer versus healthy controls, based on differential protein expression profiling of whole serum samples. Using this multiplexed and miniaturised assay set-up providing pM range sensitivities, breast cancer could be classified with a specificity and sensitivity of 85% based on 129 serum analytes. However, by adopting a condensed 11 analyte biomarker signature, composed of nine non-redundant serum proteins, we were able to distinguish cancer versus healthy serum proteomes with a 95% sensitivity and specificity, respectively. When a subgroup of patients, not receiving anti-inflammatory drugs, was analysed, a novel eight analyte biomarker signature with a further improved predictive power was indicated. In a longer perspective, antibody microarray analysis could provide a tool for the development of improved diagnostics and intensified biomarker discovery for breast cancer patients.


  • Cancer and Oncology


  • CREATE Health
  • ISSN: 1879-0852
Carl Borrebaeck
E-mail: carl [dot] borrebaeck [at] immun [dot] lth [dot] se


Department of Immunotechnology




Create Health

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