Literature DB >> 18171715

Multiplexed proximity ligation assays to profile putative plasma biomarkers relevant to pancreatic and ovarian cancer.

Simon Fredriksson1, Joe Horecka, Odd Terje Brustugun, Joerg Schlingemann, Albert C Koong, Rob Tibshirani, Ronald W Davis.   

Abstract

BACKGROUND: Sensitive methods are needed for biomarker discovery and validation. We tested one promising technology, multiplex proximity ligation assay (PLA), in a pilot study profiling plasma biomarkers in pancreatic and ovarian cancer.
METHODS: We used 4 panels of 6- and 7-plex PLAs to detect biomarkers, with each assay consuming 1 microL plasma and using either matched monoclonal antibody pairs or single batches of polyclonal antibody. Protein analytes were converted to unique DNA amplicons by proximity ligation and subsequently detected by quantitative PCR. We profiled 18 pancreatic cancer cases and 19 controls and 19 ovarian cancer cases and 20 controls for the following proteins: a disintegrin and metalloprotease 8, CA-125, CA 19-9, carboxypeptidase A1, carcinoembryonic antigen, connective tissue growth factor, epidermal growth factor receptor, epithelial cell adhesion molecule, Her2, galectin-1, insulin-like growth factor 2, interleukin-1alpha, interleukin-7, mesothelin, macrophage migration inhibitory factor, osteopontin, secretory leukocyte peptidase inhibitor, tumor necrosis factor alpha, vascular endothelial growth factor, and chitinase 3-like 1. Probes for CA-125 were present in 3 of the multiplex panels. We measured plasma concentrations of the CA-125-mesothelin complex by use of a triple-specific PLA with 2 ligation events among 3 probes.
RESULTS: The assays displayed consistent measurements of CA-125 independent of which other markers were simultaneously detected and showed good correlation with Luminex data. In comparison to literature reports, we achieved expected results for other putative markers.
CONCLUSION: Multiplex PLA using either matched monoclonal antibodies or single batches of polyclonal antibody should prove useful for identifying and validating sets of putative disease biomarkers and finding multimarker panels.

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Year:  2008        PMID: 18171715     DOI: 10.1373/clinchem.2007.093195

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  33 in total

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Authors:  Lu Tian; Robert Tibshirani
Journal:  Biostatistics       Date:  2010-07-27       Impact factor: 5.899

2.  Real-time PCR detection of protein analytes with conformation-switching aptamers.

Authors:  Litao Yang; Andrew D Ellington
Journal:  Anal Biochem       Date:  2008-05-20       Impact factor: 3.365

3.  Sensitive plasma protein analysis by microparticle-based proximity ligation assays.

Authors:  Spyros Darmanis; Rachel Yuan Nong; Maria Hammond; Jijuan Gu; Anders Alderborn; Johan Vänelid; Agneta Siegbahn; Sigrun Gustafsdottir; Olle Ericsson; Ulf Landegren; Masood Kamali-Moghaddam
Journal:  Mol Cell Proteomics       Date:  2009-11-27       Impact factor: 5.911

4.  Multiplexed homogeneous proximity ligation assays for high-throughput protein biomarker research in serological material.

Authors:  Martin Lundberg; Stine Buch Thorsen; Erika Assarsson; Andrea Villablanca; Bonnie Tran; Nick Gee; Mick Knowles; Birgitte Sander Nielsen; Eduardo González Couto; Roberto Martin; Olle Nilsson; Christian Fermer; Jörg Schlingemann; Ib Jarle Christensen; Hans-Jorgen Nielsen; Björn Ekström; Claes Andersson; Mats Gustafsson; Nils Brunner; Jan Stenvang; Simon Fredriksson
Journal:  Mol Cell Proteomics       Date:  2011-01-17       Impact factor: 5.911

Review 5.  Proximity ligation assay: an ultrasensitive method for protein quantification and its applications in pathogen detection.

Authors:  Pengzhi Wang; Yi Yang; Tianqi Hong; Guoqiang Zhu
Journal:  Appl Microbiol Biotechnol       Date:  2021-01-11       Impact factor: 4.813

6.  Tissue and plasma levels of galectins in patients with high grade serous ovarian carcinoma as new predictive biomarkers.

Authors:  Marilyne Labrie; Lorenna Oliveira Fernandes De Araujo; Laudine Communal; Anne-Marie Mes-Masson; Yves St-Pierre
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

7.  Simultaneous Measurement of 92 Serum Protein Biomarkers for the Development of a Multiprotein Classifier for Ovarian Cancer Detection.

Authors:  Amy P N Skubitz; Kristin L M Boylan; Kate Geschwind; Qing Cao; Timothy K Starr; Melissa A Geller; Joseph Celestino; Robert C Bast; Karen H Lu; Joseph S Koopmeiners
Journal:  Cancer Prev Res (Phila)       Date:  2019-02-01

Review 8.  The emerging role of galectins in high-fatality cancers.

Authors:  Cherylane Dubé-Delarosbil; Yves St-Pierre
Journal:  Cell Mol Life Sci       Date:  2017-11-08       Impact factor: 9.261

9.  Combined detection of serum matrix metalloproteinase 9, acetyl heparinase and cathepsin L in diagnosis of ovarian cancer.

Authors:  Wei Zhang; Xiao-Xia Hu; Xing-Zhi Yang; Qi Wang; Hong Cheng; Shu-Mei Wang; Yan-Ling Hu; Zhi-Jun Yang; Li Li
Journal:  Chin J Cancer Res       Date:  2012-03       Impact factor: 5.087

10.  Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis.

Authors:  Stephanie T Chang; Jacob M Zahn; Joe Horecka; Pamela L Kunz; James M Ford; George A Fisher; Quynh T Le; Daniel T Chang; Hanlee Ji; Albert C Koong
Journal:  J Transl Med       Date:  2009-12-11       Impact factor: 5.531

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