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Protein expression patterns in primary carcinoma of the vagina

Authors
Journal
British Journal of Cancer
0007-0920
Publisher
Nature Publishing Group
Publication Date
Identifiers
DOI: 10.1038/sj.bjc.6601944
Keywords
  • Molecular And Cellular Pathology
Disciplines
  • Biology
  • Ecology
  • Medicine

Abstract

Protein expression patterns in primary carcinoma of the vagina K Hellman*,1, AA Alaiya*,2, K Schedvins3, W Steinberg4, A-C Hellstro¨m1 and G Auer2 1Department of Gynecologic Oncology, Radiumhemmet, Karolinska Hospital, S-171 76 Stockholm, Sweden; 2Unit of Cancer Proteomics, Department of Oncology and Pathology, Karolinska Institute and Hospital, Stockholm, Sweden; 3Division of Obstetrics and Gynecology, Department of Woman and Child Health, Karolinska Institute and Hospital, S-171 76 Stockholm, Sweden; 4Institution of Cytological Diagnosis (Kloster-Paradiese), Im Stiftsfeld 159494 Soest, Germany Protein patterns in six samples from primary vaginal cancers, in five from normal vaginal tissue and in five primary cervical cancers, were analysed using two-dimensional polyacrylamide gel electrophoresis (2-DE). Protein expression profile was evaluated by computer-assisted image analysis (PDQUEST) and proteins were subsequently identified using matrix-assisted laser desorption/ ionisation mass spectrometry. The aim was to analyse the protein expression profiles using the hierarchical clustering method in vaginal carcinoma and to compare them with the protein pattern in cervical carcinoma in order to find a helpful tool for correct classification and for increased biomedical knowledge. Protein expression data of a distinct set of 33 protein spots were differentially expressed. These differences were statistically significant (Mann–Whitney signed-Ranked Test, Po0.05) between normal tissue, vaginal and cervical cancer. Furthermore, protein profiles of pairs of primary vaginal and cervical cancers were found to be very similar. Some of the protein spots that have so far been identified include Tropomyosin 1, cytokeratin 5, 15 and 17, Apolipoprotein A1, Annexin V, Glutathione-S-transferase. Others are the stress-related proteins, calreticulin, HSP 27 and HSP 70. We conclude that cluster analysis of proteomics data allows accurate discrimination between normal vaginal mucosa, primary vaginal and prima

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