Literature DB >> 17260003

Antibody validation by quantitative analysis of protein expression using expression of Met in breast cancer as a model.

Sharon Pozner-Moulis1, Melissa Cregger, Robert L Camp, David L Rimm.   

Abstract

Expression of Met, the Hepatocyte Growth Factor receptor, has been shown to have prognostic value in numerous types of cancer including breast, gastric, cervical and head and neck carcinomas. However, traditional analyses of expression have shown variable results and a lack of reproducibility. The AQUA system is a method of quantitative in situ analysis of protein expression that allows the assessment of reproducibility of both antibodies and assay conditions. Here, we illustrate the necessity for antibody validation when assaying the prognostic value of a potential biomarker. Using five antibodies to the intracellular domain of the Met receptor and 10 cell line controls, we quantitatively assess reproducibility of protein expression. We show that many antibodies are not reproducible at a quantitative level from lot to lot or assay to assay, suggesting new criteria for antibody validation. We also build upon past literature addressing the prognostic value of Met in a cohort of 640 cases of invasive breast cancer on a tissue microarray. We show that high levels of expression of nuclear Met, as determined by antibodies to the intracellular domain and defined as nuclear by subcellular compartmental analysis, is associated with shorter disease-specific survival in breast cancer.

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Year:  2007        PMID: 17260003     DOI: 10.1038/labinvest.3700515

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  22 in total

Review 1.  Antibody validation.

Authors:  Jennifer Bordeaux; Allison Welsh; Seema Agarwal; Elizabeth Killiam; Maria Baquero; Jason Hanna; Valsamo Anagnostou; David Rimm
Journal:  Biotechniques       Date:  2010-03       Impact factor: 1.993

Review 2.  Fluorescence two-dimensional difference gel electrophoresis for biomaterial applications.

Authors:  Laura E McNamara; Matthew J Dalby; Mathis O Riehle; Richard Burchmore
Journal:  J R Soc Interface       Date:  2009-07-01       Impact factor: 4.118

3.  Editorial: Antibody can get it right: confronting problems of antibody specificity and irreproducibility.

Authors:  Agnes Schonbrunn
Journal:  Mol Endocrinol       Date:  2014-09

4.  Site-specific DNA-antibody conjugates for specific and sensitive immuno-PCR.

Authors:  Stephanie A Kazane; Devin Sok; Edward H Cho; Maria Loressa Uson; Peter Kuhn; Peter G Schultz; Vaughn V Smider
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-15       Impact factor: 11.205

5.  Raman nanoparticle probes for antibody-based protein detection in tissues.

Authors:  Barry Lutz; Claire Dentinger; Lei Sun; Lienchi Nguyen; Jingwu Zhang; Aj Chmura; April Allen; Selena Chan; Beatrice Knudsen
Journal:  J Histochem Cytochem       Date:  2007-12-10       Impact factor: 2.479

6.  Developing a Phosphospecific IHC Assay as a Predictive Biomarker for Topoisomerase I Inhibitors.

Authors:  Koji Ando; Yara Hamade Tohme; Adithi Srinivasiah; Julian Taylor-Parker; Yevgeniya Harrington; Ankur K Shah; Eiji Oki; Mohan Brahmandam; Ajit K Bharti
Journal:  J Histochem Cytochem       Date:  2018-03-27       Impact factor: 2.479

7.  Anti-c-Met antibodies recognising a temperature sensitive epitope, inhibit cell growth.

Authors:  Julin S Wong; Emma Warbrick; Borek Vojtesk; Jeffrey Hill; David P Lane
Journal:  Oncotarget       Date:  2013-07

8.  A novel multipurpose monoclonal antibody for evaluating human c-Met expression in preclinical and clinical settings.

Authors:  Beatrice S Knudsen; Ping Zhao; James Resau; Sandra Cottingham; Ermanno Gherardi; Eric Xu; Bree Berghuis; Jennifer Daugherty; Tessa Grabinski; Jose Toro; Troy Giambernardi; R Scot Skinner; Milton Gross; Eric Hudson; Eric Kort; Ernst Lengyel; Aviva Ventura; Richard A West; Qian Xie; Rick Hay; George Vande Woude; Brian Cao
Journal:  Appl Immunohistochem Mol Morphol       Date:  2009-01

9.  MET canonical transcript expression is a predictive biomarker for chemo-sensitivity to MET-inhibitors in hepatocellular carcinoma cell lines.

Authors:  Wafaa M Rashed; Mohamed A Kandeil; Mohamed O Mahmoud; Doha Maher; Sameera Ezzat; Mohamed H Abdel-Rahman
Journal:  J Cancer Res Clin Oncol       Date:  2020-09-26       Impact factor: 4.553

10.  Development of [89Zr]ZrDFO-amivantamab bispecific to EGFR and c-MET for PET imaging of triple-negative breast cancer.

Authors:  Alessandra Cavaliere; Suxia Sun; Supum Lee; Jacob Bodner; Ziqi Li; Yiyun Huang; Sheri L Moores; Bernadette Marquez-Nostra
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-08-08       Impact factor: 9.236

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