Literature DB >> 19487543

Proteomic analysis of archival breast cancer serum.

Bashar A Zeidan1, Ramsey I Cutress, Nick Murray, Gary R Coulton, Claire Hastie, Graham Packham, Paul A Townsend.   

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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Year:  2009        PMID: 19487543

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  12 in total

1.  Biomarker discovery and clinical proteomics.

Authors:  Jerzy Silberring; Pawel Ciborowski
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2.  Proteomic studies in breast cancer (Review).

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Journal:  Oncol Lett       Date:  2012-01-18       Impact factor: 2.967

Review 3.  Breast cancer proteomics: a review for clinicians.

Authors:  E R C G N Galvão; L M S Martins; J O Ibiapina; H M Andrade; S J H Monte
Journal:  J Cancer Res Clin Oncol       Date:  2011-04-05       Impact factor: 4.553

4.  Diagnostic and prognostic significance of serum apolipoprotein C-I in triple-negative breast cancer based on mass spectrometry.

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Journal:  Cancer Biol Ther       Date:  2016-06-03       Impact factor: 4.742

Review 5.  The application of SELDI-TOF-MS in clinical diagnosis of cancers.

Authors:  Chibo Liu
Journal:  J Biomed Biotechnol       Date:  2011-05-23

6.  Pathway-based Biomarkers for Breast Cancer in Proteomics.

Authors:  Fan Zhang; Youping Deng; Mu Wang; Li Cui; Renee Drabier
Journal:  Cancer Inform       Date:  2015-02-09

7.  A neural network approach to multi-biomarker panel discovery by high-throughput plasma proteomics profiling of breast cancer.

Authors:  Fan Zhang; Jake Chen; Mu Wang; Renee Drabier
Journal:  BMC Proc       Date:  2013-12-20

8.  Novel alternative splicing isoform biomarkers identification from high-throughput plasma proteomics profiling of breast cancer.

Authors:  Fan Zhang; Mu Wang; Tran Michael; Renee Drabier
Journal:  BMC Syst Biol       Date:  2013-12-09

9.  Breast cancer subtyping from plasma proteins.

Authors:  Fan Zhang; Jake Y Chen
Journal:  BMC Med Genomics       Date:  2013-01-23       Impact factor: 3.063

10.  Multiple biomarker panels for early detection of breast cancer in peripheral blood.

Authors:  Fan Zhang; Youping Deng; Renee Drabier
Journal:  Biomed Res Int       Date:  2013-11-26       Impact factor: 3.411

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