Literature DB >> 18712711

Tissue culture-based breast cancer biomarker discovery platform.

Vathany Kulasingam1, Eleftherios P Diamandis.   

Abstract

Current cancer biomarkers suffer from low diagnostic sensitivity and specificity and have not yet made a major impact on reducing cancer burden. Proteomic methods based on mass spectrometry have matured significantly over the past few years and hold promise to deliver candidate markers for diagnosis, prognosis or monitoring therapeutic response. Because of the complex nature of biological fluids such as plasma, biomarker discovery efforts using proteomics have not as yet delivered any novel tumor markers. Recently, there has been a rise in the number of publications utilizing a cell culture-based model of cancer to identify novel candidate tumor markers. The secretome of cancer cell lines constitutes an important class of proteins that can act locally and systemically in the body. Secreted proteins, in addition to serving as serological markers, play a central role in physiology and pathophysiology. In this review, we focus on the proteomics of breast cancer and the different strategies to mine for biomarkers, with particular emphasis on a cell culture-based model developed in our laboratory. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18712711     DOI: 10.1002/ijc.23844

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  17 in total

1.  Proteomic analysis identification of a pattern of shared alterations in the secretome of dermal fibroblasts from systemic sclerosis and nephrogenic systemic fibrosis.

Authors:  Francesco Del Galdo; M Alexander Shaw; Sergio A Jimenez
Journal:  Am J Pathol       Date:  2010-08-19       Impact factor: 4.307

Review 2.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

3.  Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic cancer biomarkers.

Authors:  Shalini Makawita; Chris Smith; Ihor Batruch; Yingye Zheng; Felix Rückert; Robert Grützmann; Christian Pilarsky; Steven Gallinger; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2011-06-07       Impact factor: 5.911

4.  In situ proteomic analysis of human breast cancer epithelial cells using laser capture microdissection: annotation by protein set enrichment analysis and gene ontology.

Authors:  Sangwon Cha; Marcin B Imielinski; Tomas Rejtar; Elizabeth A Richardson; Dipak Thakur; Dennis C Sgroi; Barry L Karger
Journal:  Mol Cell Proteomics       Date:  2010-08-25       Impact factor: 5.911

5.  Galectin-3 Binding Protein Secreted by Breast Cancer Cells Inhibits Monocyte-Derived Fibrocyte Differentiation.

Authors:  Michael J V White; David Roife; Richard H Gomer
Journal:  J Immunol       Date:  2015-07-01       Impact factor: 5.422

6.  Up-regulated proteins in the fluid bathing the tumour cell microenvironment as potential serological markers for early detection of cancer of the breast.

Authors:  Pavel Gromov; Irina Gromova; Jakob Bunkenborg; Teresa Cabezon; José M A Moreira; Vera Timmermans-Wielenga; Peter Roepstorff; Fritz Rank; Julio E Celis
Journal:  Mol Oncol       Date:  2009-11-23       Impact factor: 6.603

7.  Profiling pancreatic cancer-secreted proteome using 15N amino acids and serum-free media.

Authors:  Jing Xiao; Wai-Nang Paul Lee; Yingchun Zhao; Rui Cao; Vay Liang W Go; Robert R Recker; Qi Wang; Gary Guishan Xiao
Journal:  Pancreas       Date:  2010-01       Impact factor: 3.327

8.  Leucine-rich alpha-2-glycoprotein-1 is upregulated in sera and tumors of ovarian cancer patients.

Authors:  John D Andersen; Kristin Lm Boylan; Ronald Jemmerson; Melissa A Geller; Benjamin Misemer; Katherine M Harrington; Starchild Weivoda; Bruce A Witthuhn; Peter Argenta; Rachel Isaksson Vogel; Amy Pn Skubitz
Journal:  J Ovarian Res       Date:  2010-09-10       Impact factor: 4.234

9.  Differential secreted proteome approach in murine model for candidate biomarker discovery in colon cancer.

Authors:  Kannan Rangiah; Montri Tippornwong; Vineet Sangar; David Austin; Marie-Pier Tétreault; Anil K Rustgi; Ian A Blair; Kenneth H Yu
Journal:  J Proteome Res       Date:  2009-11       Impact factor: 4.466

Review 10.  The evolving role of mass spectrometry in cancer biomarker discovery.

Authors:  Pei Wang; Jeffrey R Whiteaker; Amanda G Paulovich
Journal:  Cancer Biol Ther       Date:  2009-06-06       Impact factor: 4.742

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