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Large-Scale Proteomics Analysis of Human Ovarian Cancer for Biomarkers

Author:
  • S Bengtsson
  • Morten Krogh
  • C Al-Khalili Szigyarto
  • M Uhlen
  • K Schedvins
  • C Silfversward
  • S Linder
  • G Auer
  • A Alaiya
  • Peter James
Publishing year: 2007
Language: English
Pages: 1440-1450
Publication/Series: Journal of Proteome Research
Volume: 6
Issue: 4
Document type: Journal article
Publisher: The American Chemical Society

Abstract english

Ovarian cancer is usually found at a late stage when the prognosis is often bad. Relative survival rates decrease with tumor stage or grade, and the 5-year survival rate for women with carcinoma is only 38%. Thus, there is a great need to find biomarkers that can be used to carry out routine screening, especially in high-risk patient groups. Here, we present a large-scale study of 64 tissue samples taken from patients at all stages and show that we can identify statistically valid markers using nonsupervised methods that distinguish between normal, benign, borderline, and malignant tissue. We have identified 217 of the significantly changing protein spots. We are expressing and raising antibodies to 35 of these. Currently, we have validated 5 of these antibodies for use in immunohistochemical analysis using tissue microarrays of healthy and diseased ovarian, as well as other, human tissues.

Keywords

  • Immunology in the medical area
  • Biophysics

Other

Published
  • ISSN: 1535-3893
Peter James
E-mail: peter.james [at] immun.lth.se

Professor

Department of Immunotechnology

+46 46 222 14 96

+46 70 247 79 60

MV406411E1

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