Literature DB >> 20720569

Antibody-based proteomics: fast-tracking molecular diagnostics in oncology.

Donal J Brennan1, Darran P O'Connor, Elton Rexhepaj, Fredrik Ponten, William M Gallagher.   

Abstract

The effective implementation of personalized cancer therapeutic regimens depends on the successful identification and translation of informative biomarkers to aid clinical decision making. Antibody-based proteomics occupies a pivotal space in the cancer biomarker discovery and validation pipeline, facilitating the high-throughput evaluation of candidate markers. Although the clinical utility of these emerging technologies remains to be established, the traditional use of antibodies as affinity reagents in clinical diagnostic and predictive assays suggests that the rapid translation of such approaches is an achievable goal. Furthermore, in combination with, or as alternatives to, genomic and transcriptomic methods for patient stratification, antibody-based proteomics approaches offer the promise of additional insight into cancer disease states. In this Review, we discuss the current status of antibody-based proteomics and its contribution to the development of new assays that are crucial for the realization of individualized cancer therapy.

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Year:  2010        PMID: 20720569     DOI: 10.1038/nrc2902

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  140 in total

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Journal:  Mol Cell Proteomics       Date:  2004-01-12       Impact factor: 5.911

3.  Shifting paradigms: the seeds of oncogene addiction.

Authors:  Charles L Sawyers
Journal:  Nat Med       Date:  2009-10       Impact factor: 53.440

4.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

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5.  Converting a breast cancer microarray signature into a high-throughput diagnostic test.

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Journal:  BMC Genomics       Date:  2006-10-30       Impact factor: 3.969

6.  Identification of prognostic biomarkers for prostate cancer.

Authors:  Farhad Kosari; Jan Marie A Munz; C Dilara Savci-Heijink; Craig Spiro; Eric W Klee; Dagmar Marie Kube; Lori Tillmans; Jeff Slezak; R Jeffrey Karnes; John C Cheville; George Vasmatzis
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7.  Double-blind randomized phase II study of the combination of sorafenib and dacarbazine in patients with advanced melanoma: a report from the 11715 Study Group.

Authors:  David F McDermott; Jeffrey A Sosman; Rene Gonzalez; F Stephen Hodi; Gerald P Linette; Jon Richards; James W Jakub; Muralidhar Beeram; Stefano Tarantolo; Sanjiv Agarwala; Gary Frenette; Igor Puzanov; Lee Cranmer; Karl Lewis; John Kirkwood; J Michael White; Chenghua Xia; Kiran Patel; Evan Hersh
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8.  Serum proteome profiling of metastatic breast cancer using recombinant antibody microarrays.

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Journal:  Eur J Cancer       Date:  2008-01-02       Impact factor: 9.162

9.  Quantitative measurement of epidermal growth factor receptor is a negative predictive factor for tamoxifen response in hormone receptor positive premenopausal breast cancer.

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10.  Antibody-based proteomics for esophageal cancer: Identification of proteins in the nuclear factor-kappaB pathway and mitotic checkpoint.

Authors:  Norihisa Uemura; Yukihiro Nakanishi; Hoichi Kato; Masato Nagino; Setsuo Hirohashi; Tadashi Kondo
Journal:  Cancer Sci       Date:  2009-05-28       Impact factor: 6.716

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  59 in total

1.  Wash-free, electrochemical platform for the quantitative, multiplexed detection of specific antibodies.

Authors:  Ryan J White; Hannah M Kallewaard; Wen Hsieh; Adriana S Patterson; Jesse B Kasehagen; Kevin J Cash; Takanori Uzawa; H Tom Soh; Kevin W Plaxco
Journal:  Anal Chem       Date:  2012-01-03       Impact factor: 6.986

2.  The cocaine- and amphetamine-regulated transcript mediates ligand-independent activation of ERα, and is an independent prognostic factor in node-negative breast cancer.

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Journal:  Oncogene       Date:  2011-12-05       Impact factor: 9.867

3.  An efficient method for variable region assembly in the construction of scFv phage display libraries using independent strand amplification.

Authors:  Pablo Sotelo; Noberto Collazo; Roberto Zuñiga; Matías Gutiérrez-González; Diego Catalán; Carolina Hager Ribeiro; Juan Carlos Aguillón; María Carmen Molina
Journal:  MAbs       Date:  2012-07-01       Impact factor: 5.857

Review 4.  Functional proteomics to dissect tyrosine kinase signalling pathways in cancer.

Authors:  Walter Kolch; Andrew Pitt
Journal:  Nat Rev Cancer       Date:  2010-08-19       Impact factor: 60.716

5.  Tissue proteomics of the human mammary gland: towards an abridged definition of the molecular phenotypes underlying epithelial normalcy.

Authors:  José M A Moreira; Teresa Cabezón; Irina Gromova; Pavel Gromov; Vera Timmermans-Wielenga; Isidro Machado; Antonio Llombart-Bosch; Niels Kroman; Fritz Rank; Julio E Celis
Journal:  Mol Oncol       Date:  2010-10-08       Impact factor: 6.603

6.  Has discovery-based cancer research been a bust?

Authors:  R J Epstein
Journal:  Clin Transl Oncol       Date:  2013-09-04       Impact factor: 3.405

Review 7.  Imaging flow cytometry: coping with heterogeneity in biological systems.

Authors:  Natasha S Barteneva; Elizaveta Fasler-Kan; Ivan A Vorobjev
Journal:  J Histochem Cytochem       Date:  2012-06-27       Impact factor: 2.479

Review 8.  Precision diagnostics: moving towards protein biomarker signatures of clinical utility in cancer.

Authors:  Carl A K Borrebaeck
Journal:  Nat Rev Cancer       Date:  2017-02-03       Impact factor: 60.716

9.  Deciphering Phosphotyrosine-Dependent Signaling Networks in Cancer by SH2 Profiling.

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Journal:  Genes Cancer       Date:  2012-05

10.  Validation of cytoplasmic-to-nuclear ratio of survivin as an indicator of improved prognosis in breast cancer.

Authors:  Elton Rexhepaj; Karin Jirstrom; Darran P O'Connor; Sallyann L O'Brien; Goran Landberg; Michael J Duffy; Donal J Brennan; William M Gallagher
Journal:  BMC Cancer       Date:  2010-11-23       Impact factor: 4.430

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