Proteomic analysis of archival breast cancer serum
Proteomic analysis of archival breast cancer serum
Large cohorts of archival samples are stored in tissue banks worldwide yet their contribution to biomarker discovery is limited. Proteomic profiling technologies have potential for early screening and diagnosis of cancer, and data from such samples can be the answer for many clinical questions. Here we introduce the notion of archival samples proteomics. Using SELDI-TOF MS analysis, we compared 30-year-old archival serum samples of healthy volunteers and patients diagnosed with non metastatic breast cancer. To validate the reproducibility of our results, analysis of the same samples was repeated in a different centre under standardised settings. Plausible differentially expressed protein peaks between the breast cancer and control groups were repeatedly detected. Our pilot study showed highly reproducible and concordant results between two independent analyses conducted in different centres. The feasibility and reliability of profiling serum archives of women with breast cancer was tested in this pilot study. Our results imply that proteomic profiling of serum may have an important role in biomarkers discovery regardless of the storage period. Clearly, multicentre validation of larger archival cohorts is vital
141-147
Zeidan, Bashar A.
acd18415-22ee-43b8-a102-a36ea22dd0af
Cutress, Ramsey I.
68ae4f86-e8cf-411f-a335-cdba51797406
Murray, Nick
0ab49492-4445-442a-a542-1d8d937a7fc2
Coulton, Gary R.
60caa51d-1141-4790-af23-0344e23c1465
Hastie, Claire
00b5a5a1-da64-4c54-be0e-06e2e6ffe6a0
Packham, Graham
fdabe56f-2c58-469c-aadf-38878f233394
Townsend, Paul A.
a2680443-664e-46d0-b4dd-97456ba810db
May 2009
Zeidan, Bashar A.
acd18415-22ee-43b8-a102-a36ea22dd0af
Cutress, Ramsey I.
68ae4f86-e8cf-411f-a335-cdba51797406
Murray, Nick
0ab49492-4445-442a-a542-1d8d937a7fc2
Coulton, Gary R.
60caa51d-1141-4790-af23-0344e23c1465
Hastie, Claire
00b5a5a1-da64-4c54-be0e-06e2e6ffe6a0
Packham, Graham
fdabe56f-2c58-469c-aadf-38878f233394
Townsend, Paul A.
a2680443-664e-46d0-b4dd-97456ba810db
Zeidan, Bashar A., Cutress, Ramsey I., Murray, Nick, Coulton, Gary R., Hastie, Claire, Packham, Graham and Townsend, Paul A.
(2009)
Proteomic analysis of archival breast cancer serum.
Cancer Genomics Proteomics, 6 (3), .
Abstract
Large cohorts of archival samples are stored in tissue banks worldwide yet their contribution to biomarker discovery is limited. Proteomic profiling technologies have potential for early screening and diagnosis of cancer, and data from such samples can be the answer for many clinical questions. Here we introduce the notion of archival samples proteomics. Using SELDI-TOF MS analysis, we compared 30-year-old archival serum samples of healthy volunteers and patients diagnosed with non metastatic breast cancer. To validate the reproducibility of our results, analysis of the same samples was repeated in a different centre under standardised settings. Plausible differentially expressed protein peaks between the breast cancer and control groups were repeatedly detected. Our pilot study showed highly reproducible and concordant results between two independent analyses conducted in different centres. The feasibility and reliability of profiling serum archives of women with breast cancer was tested in this pilot study. Our results imply that proteomic profiling of serum may have an important role in biomarkers discovery regardless of the storage period. Clearly, multicentre validation of larger archival cohorts is vital
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Published date: May 2009
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Local EPrints ID: 69817
URI: http://eprints.soton.ac.uk/id/eprint/69817
ISSN: 1109-6535
PURE UUID: 20c4a272-c313-43ca-b7bb-5023d08f7c74
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Date deposited: 08 Dec 2009
Last modified: 23 Jul 2022 01:46
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Contributors
Author:
Bashar A. Zeidan
Author:
Nick Murray
Author:
Gary R. Coulton
Author:
Claire Hastie
Author:
Paul A. Townsend
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