Literature DB >> 18311905

Plasma proteome profiling of a mouse model of breast cancer identifies a set of up-regulated proteins in common with human breast cancer cells.

Sharon J Pitteri1, Vitor M Faca, Karen S Kelly-Spratt, A Erik Kasarda, Hong Wang, Qing Zhang, Lisa Newcomb, Alexei Krasnoselsky, Sophie Paczesny, Gina Choi, Matthew Fitzgibbon, Martin W McIntosh, Christopher J Kemp, Samir M Hanash.   

Abstract

We have applied an in-depth quantitative proteomic approach, combining isotopic labeling extensive intact protein separation and mass spectrometry, for high confidence identification of protein changes in plasmas from a mouse model of breast cancer. We hypothesized that a wide spectrum of proteins may be up-regulated in plasma with tumor development and that comparisons with proteins expressed in human breast cancer cell lines may identify a subset of up-regulated proteins in common with proteins expressed in breast cancer cell lines that may represent candidate biomarkers for breast cancer. Plasma from PyMT transgenic tumor-bearing mice and matched controls were obtained at two time points during tumor growth. A total of 133 proteins were found to be increased by 1.5-fold or greater at one or both time points. A comparison of this set of proteins with published findings from proteomic analysis of human breast cancer cell lines yielded 49 proteins with increased levels in mouse plasma that were identified in breast cancer cell lines. Pathway analysis comparing the subset of up-regulated proteins known to be expressed in breast cancer cell lines with other up-regulated proteins indicated a cancer related function for the former and a host-response function for the latter. We conclude that integration of proteomic findings from mouse models of breast cancer and from human breast cancer cell lines may help identify a subset of proteins released by breast cancer cells into the circulation and that occur at increased levels in breast cancer.

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Year:  2008        PMID: 18311905     DOI: 10.1021/pr7007994

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  31 in total

Review 1.  How to Choose a Mouse Model of Breast Cancer, a Genomic Perspective.

Authors:  Matthew R Swiatnicki; Eran R Andrechek
Journal:  J Mammary Gland Biol Neoplasia       Date:  2019-06-21       Impact factor: 2.673

2.  Concordant release of glycolysis proteins into the plasma preceding a diagnosis of ER+ breast cancer.

Authors:  Lynn M Amon; Sharon J Pitteri; Christopher I Li; Martin McIntosh; Jon J Ladd; Mary Disis; Peggy Porter; Chee Hong Wong; Qing Zhang; Paul Lampe; Ross L Prentice; Samir M Hanash
Journal:  Cancer Res       Date:  2012-02-24       Impact factor: 12.701

3.  Tumor microenvironment-derived proteins dominate the plasma proteome response during breast cancer induction and progression.

Authors:  Sharon J Pitteri; Karen S Kelly-Spratt; Kay E Gurley; Jacob Kennedy; Tina Busald Buson; Alice Chin; Hong Wang; Qing Zhang; Chee-Hong Wong; Lewis A Chodosh; Peter S Nelson; Samir M Hanash; Christopher J Kemp
Journal:  Cancer Res       Date:  2011-06-08       Impact factor: 12.701

4.  Integrative proteomic analysis of serum and peritoneal fluids helps identify proteins that are up-regulated in serum of women with ovarian cancer.

Authors:  Lynn M Amon; Wendy Law; Matthew P Fitzgibbon; Jennifer A Gross; Kathy O'Briant; Amelia Peterson; Charles Drescher; Daniel B Martin; Martin McIntosh
Journal:  PLoS One       Date:  2010-06-15       Impact factor: 3.240

Review 5.  Targeted proteomic strategy for clinical biomarker discovery.

Authors:  Ralph Schiess; Bernd Wollscheid; Ruedi Aebersold
Journal:  Mol Oncol       Date:  2008-12-11       Impact factor: 6.603

Review 6.  Early detection of breast cancer: new biomarker tests on the horizon?

Authors:  Aparna C Jotwani; Julie R Gralow
Journal:  Mol Diagn Ther       Date:  2009-12-01       Impact factor: 4.074

7.  Reevaluating cathepsin D as a biomarker for breast cancer: serum activity levels versus histopathology.

Authors:  Daniel E Abbott; Naira V Margaryan; Jacqueline S Jeruss; Seema Khan; Virginia Kaklamani; David J Winchester; Nora Hansen; Alfred Rademaker; Zhila Khalkhali-Ellis; Mary J C Hendrix
Journal:  Cancer Biol Ther       Date:  2010-01-15       Impact factor: 4.742

8.  Lipocalin 2: a multifaceted modulator of human cancer.

Authors:  Jiang Yang; Marsha A Moses
Journal:  Cell Cycle       Date:  2009-08-08       Impact factor: 4.534

9.  A mouse model repository for cancer biomarker discovery.

Authors:  Karen S Kelly-Spratt; A Erik Kasarda; Mark Igra; Christopher J Kemp
Journal:  J Proteome Res       Date:  2008-07-15       Impact factor: 4.466

10.  Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.

Authors:  Sharon J Pitteri; Lellean JeBailey; Vitor M Faça; Jason D Thorpe; Melissa A Silva; Reneé C Ireton; Marc B Horton; Hong Wang; Liese C Pruitt; Qing Zhang; Kuang H Cheng; Nicole Urban; Samir M Hanash; Daniela M Dinulescu
Journal:  PLoS One       Date:  2009-11-19       Impact factor: 3.240

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