Literature DB >> 28127872

Quantitative proteomics of breast tumors: Tissue quality assessment to clinical biomarkers.

Yi Chen1, David Britton2, Elizabeth R Wood1, Stephen Brantley3, Anthony Magliocco3, Ian Pike2, John M Koomen1,4.   

Abstract

Liquid chromatography-selected reaction monitoring mass spectrometry (LC-SRM) is not only a proven tool for clinical chemistry, but also a versatile method to enhance the capability to quantify biomarkers for tumor biology research. As the treatment of cancer continues to evolve, the ability to assess multiple biomarkers to assign cancer phenotypes based on the genetic background and the signaling of the individual tumor becomes paramount to our ability to treat the patient. In breast cancer, the American Society of Clinical Oncology has defined biomarkers for patient assessment to guide selection of therapy: estrogen receptor, progesterone receptor, and the HER2/Neu receptor tyrosine kinase; therefore, these proteins were selected for LC-SRM assay development. Detailed molecular characterization of these proteins is necessary for patient treatment, so expression and phosphorylation assays have been developed and applied. In addition, other LC-SRM assays were developed to further evaluate tumor biology (e.g. Ki-67 for proliferation and vimentin for tumor aggressiveness related to the epithelial-to-mesenchymal transition). These measurements combined with biomarkers for tissue quality and histological content are implemented in a three-tier multiplexed assay platform, which is translated from cell line models into frozen tumor tissues banked from breast cancer patients.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Breast cancer biomarkers; Estrogen receptor; HER2; Liquid chromatography-selected reaction monitoring mass spectrometry; Quantitative proteomics

Mesh:

Substances:

Year:  2017        PMID: 28127872      PMCID: PMC5996774          DOI: 10.1002/pmic.201600335

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  47 in total

1.  Multiple-reaction monitoring-mass spectrometric assays can accurately measure the relative protein abundance in complex mixtures.

Authors:  Andrew N Hoofnagle; Jessica O Becker; Michael N Oda; Giorgio Cavigiolio; Philip Mayer; Tomas Vaisar
Journal:  Clin Chem       Date:  2012-02-03       Impact factor: 8.327

2.  The absolute quantification strategy: a general procedure for the quantification of proteins and post-translational modifications.

Authors:  Donald S Kirkpatrick; Scott A Gerber; Steven P Gygi
Journal:  Methods       Date:  2005-01-12       Impact factor: 3.608

3.  The absolute quantification strategy: application to phosphorylation profiling of human separase serine 1126.

Authors:  Scott A Gerber; Arminja N Kettenbach; John Rush; Steven P Gygi
Journal:  Methods Mol Biol       Date:  2007

4.  Identification and quantification of concentration-dependent biomarkers in MCF-7/BOS cells exposed to 17β-estradiol by 2-D DIGE and label-free proteomics.

Authors:  Mike Collodoro; Pascale Lemaire; Gauthier Eppe; Virginie Bertrand; Rowan Dobson; Gabriel Mazzucchelli; Joëlle Widart; Edwin De Pauw; Marie-Claire De Pauw-Gillet
Journal:  J Proteomics       Date:  2012-05-02       Impact factor: 4.044

5.  Quantification of hormone receptors to guide adjuvant therapy choice in early breast cancer: better methods required for improved utility.

Authors:  John M S Bartlett; Daniel Rea; David L Rimm
Journal:  J Clin Oncol       Date:  2011-08-01       Impact factor: 44.544

6.  Isolation of two human tumor epithelial cell lines from solid breast carcinomas.

Authors:  E Y Lasfargues; W G Coutinho; E S Redfield
Journal:  J Natl Cancer Inst       Date:  1978-10       Impact factor: 13.506

7.  Differential hormone-dependent phosphorylation of progesterone receptor A and B forms revealed by a phosphoserine site-specific monoclonal antibody.

Authors:  D L Clemm; L Sherman; V Boonyaratanakornkit; W T Schrader; N L Weigel; D P Edwards
Journal:  Mol Endocrinol       Date:  2000-01

8.  Identification of a phosphorylation site in the hinge region of the human progesterone receptor and additional amino-terminal phosphorylation sites.

Authors:  T A Knotts; R S Orkiszewski; R G Cook; D P Edwards; N L Weigel
Journal:  J Biol Chem       Date:  2000-12-07       Impact factor: 5.157

9.  Systematic mapping of posttranslational modifications in human estrogen receptor-alpha with emphasis on novel phosphorylation sites.

Authors:  Christian Atsriku; David J Britton; Jason M Held; Birgit Schilling; Gary K Scott; Bradford W Gibson; Christopher C Benz; Michael A Baldwin
Journal:  Mol Cell Proteomics       Date:  2008-11-03       Impact factor: 5.911

10.  Vimentin as a poor prognostic factor for triple-negative breast cancer.

Authors:  Nami Yamashita; Eriko Tokunaga; Hiroyuki Kitao; Yuichi Hisamatsu; Kenji Taketani; Sayuri Akiyoshi; Satoko Okada; Shinichi Aishima; Masaru Morita; Yoshihiko Maehara
Journal:  J Cancer Res Clin Oncol       Date:  2013-01-26       Impact factor: 4.553

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  4 in total

1.  Proteomics for cancer drug design.

Authors:  Amanda Haymond; Justin B Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2019-08-04       Impact factor: 3.940

2.  Quantification of Breast Cancer Protein Biomarkers at Different Expression Levels in Human Tumors.

Authors:  Yi Chen; David Britton; Elizabeth R Wood; Stephen Brantley; Michelle Fournier; Marek Wloch; Vonetta L Williams; Joseph Johnson; Anthony Magliocco; Ian Pike; John M Koomen
Journal:  Methods Mol Biol       Date:  2018

3.  Development of parallel reaction monitoring (PRM)-based quantitative proteomics applied to HER2-Positive breast cancer.

Authors:  Mathilde Guerin; Anthony Gonçalves; Yves Toiron; Emilie Baudelet; Matthieu Pophillat; Samuel Granjeaud; Patrick Fourquet; William Jacot; Carole Tarpin; Renaud Sabatier; Emilie Agavnian; Pascal Finetti; José Adelaide; Daniel Birnbaum; Christophe Ginestier; Emmanuelle Charafe-Jauffret; Patrice Viens; François Bertucci; Jean-Paul Borg; Luc Camoin
Journal:  Oncotarget       Date:  2018-09-18

Review 4.  Proteomic Technology "Lens" for Epithelial-Mesenchymal Transition Process Identification in Oncology.

Authors:  Monica Neagu; Carolina Constantin; Marinela Bostan; Constantin Caruntu; Simona Rebeca Ignat; Sorina Dinescu; Marieta Costache
Journal:  Anal Cell Pathol (Amst)       Date:  2019-10-29       Impact factor: 2.916

  4 in total

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