Literature DB >> 21137031

Reconstructing the pipeline by introducing multiplexed multiple reaction monitoring mass spectrometry for cancer biomarker verification: an NCI-CPTC initiative perspective.

Henry Rodriguez1, Robert Rivers, Christopher Kinsinger, Mehdi Mesri, Tara Hiltke, Amir Rahbar, Emily Boja.   

Abstract

Proteomics holds great promise in personalized medicine for cancer in the post-genomic era. In the past decade, clinical proteomics has significantly evolved in terms of technology development, optimization and standardization, as well as in advanced bioinformatics data integration and analysis. Great strides have been made for characterizing a large number of proteins qualitatively and quantitatively in a proteome, including the use of sample fractionation, protein microarrays and MS. It is believed that differential proteomic analysis of high-quality clinical biospecimen (tissue and biofluids) can potentially reveal protein/peptide biomarkers responsible for cancer by means of their altered levels of expression and/or PTMs. Multiple reaction monitoring, a multiplexed platform using stable isotope dilution-MS with sensitivity and reproducibility approaching that of traditional ELISAs commonly used in the clinical setting, has emerged as a potentially promising technique for next-generation high-throughput protein biomarker measurements for diagnostics and therapeutics.
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2010        PMID: 21137031      PMCID: PMC4035121          DOI: 10.1002/prca.201000057

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  55 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.

Authors:  Amanda G Paulovich; Jeffrey R Whiteaker; Andrew N Hoofnagle; Pei Wang
Journal:  Proteomics Clin Appl       Date:  2008-10-01       Impact factor: 3.494

3.  The path to personalized medicine.

Authors:  Margaret A Hamburg; Francis S Collins
Journal:  N Engl J Med       Date:  2010-06-15       Impact factor: 91.245

Review 4.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

5.  ABRF-PRG05: de novo peptide sequence determination.

Authors:  Arnold M Falick; Jeffrey A Kowalak; William S Lane; Brett S Phinney; Christoph W Turck; Susan T Weintraub; Karen A West; Thomas A Neubert
Journal:  J Biomol Tech       Date:  2008-09

6.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

Authors:  Terri A Addona; Susan E Abbatiello; Birgit Schilling; Steven J Skates; D R Mani; David M Bunk; Clifford H Spiegelman; Lisa J Zimmerman; Amy-Joan L Ham; Hasmik Keshishian; Steven C Hall; Simon Allen; Ronald K Blackman; Christoph H Borchers; Charles Buck; Helene L Cardasis; Michael P Cusack; Nathan G Dodder; Bradford W Gibson; Jason M Held; Tara Hiltke; Angela Jackson; Eric B Johansen; Christopher R Kinsinger; Jing Li; Mehdi Mesri; Thomas A Neubert; Richard K Niles; Trenton C Pulsipher; David Ransohoff; Henry Rodriguez; Paul A Rudnick; Derek Smith; David L Tabb; Tony J Tegeler; Asokan M Variyath; Lorenzo J Vega-Montoto; Asa Wahlander; Sofia Waldemarson; Mu Wang; Jeffrey R Whiteaker; Lei Zhao; N Leigh Anderson; Susan J Fisher; Daniel C Liebler; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

Review 7.  Integration of proteomic-based tools for improved biomarkers of myocardial injury.

Authors:  Robert E Gerszten; Steven A Carr; Marc Sabatine
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

8.  Comparative analyses of gene copy number and mRNA expression in glioblastoma multiforme tumors and xenografts.

Authors:  J Graeme Hodgson; Ru-Fang Yeh; Amrita Ray; Nicholas J Wang; Ivan Smirnov; Mamie Yu; Sujatmi Hariono; Joachim Silber; Heidi S Feiler; Joe W Gray; Paul T Spellman; Scott R Vandenberg; Mitchel S Berger; C David James
Journal:  Neuro Oncol       Date:  2009-01-12       Impact factor: 12.300

9.  Multiplex immune serum biomarker profiling in sarcoidosis and systemic sclerosis.

Authors:  P Beirne; P Pantelidis; P Charles; A U Wells; D J Abraham; C P Denton; K I Welsh; P L Shah; R M du Bois; P Kelleher
Journal:  Eur Respir J       Date:  2009-06-18       Impact factor: 16.671

10.  A list of candidate cancer biomarkers for targeted proteomics.

Authors:  Malu Polanski; N Leigh Anderson
Journal:  Biomark Insights       Date:  2007-02-07
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  14 in total

1.  18O-labeled proteome reference as global internal standards for targeted quantification by selected reaction monitoring-mass spectrometry.

Authors:  Jong-Seo Kim; Thomas L Fillmore; Tao Liu; Errol Robinson; Mahmud Hossain; Boyd L Champion; Ronald J Moore; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Mol Cell Proteomics       Date:  2011-10-11       Impact factor: 5.911

Review 2.  Mass spectrometry based biomarker discovery, verification, and validation--quality assurance and control of protein biomarker assays.

Authors:  Carol E Parker; Christoph H Borchers
Journal:  Mol Oncol       Date:  2014-03-20       Impact factor: 6.603

3.  Cardiac myosin binding protein-C: a potential early-stage, cardiac-specific biomarker of ischemia-reperfusion injury.

Authors:  Sakthivel Sadayappan
Journal:  Biomark Med       Date:  2012-02       Impact factor: 2.851

Review 4.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

Review 5.  Clinical review: improving the measurement of serum thyroglobulin with mass spectrometry.

Authors:  Andrew N Hoofnagle; Mara Y Roth
Journal:  J Clin Endocrinol Metab       Date:  2013-02-28       Impact factor: 5.958

6.  Proteomic classification of acute leukemias by alignment-based quantitation of LC-MS/MS data sets.

Authors:  Eric J Foss; Dragan Radulovic; Derek L Stirewalt; Jerald Radich; Olga Sala-Torra; Era L Pogosova-Agadjanyan; Shawna M Hengel; Keith R Loeb; H Joachim Deeg; Soheil Meshinchi; David R Goodlett; Antonio Bedalov
Journal:  J Proteome Res       Date:  2012-09-11       Impact factor: 4.466

7.  Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.

Authors:  Steven J Skates; Michael A Gillette; Joshua LaBaer; Steven A Carr; Leigh Anderson; Daniel C Liebler; David Ransohoff; Nader Rifai; Marina Kondratovich; Živana Težak; Elizabeth Mansfield; Ann L Oberg; Ian Wright; Grady Barnes; Mitchell Gail; Mehdi Mesri; Christopher R Kinsinger; Henry Rodriguez; Emily S Boja
Journal:  J Proteome Res       Date:  2013-10-28       Impact factor: 4.466

8.  Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N-Linked Glycosite-Containing Peptides in Serum.

Authors:  Stefani N Thomas; Robert Harlan; Jing Chen; Paul Aiyetan; Yansheng Liu; Lori J Sokoll; Ruedi Aebersold; Daniel W Chan; Hui Zhang
Journal:  Anal Chem       Date:  2015-10-21       Impact factor: 6.986

9.  A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples.

Authors:  Catherine P Riley; Xiang Zhang; Harikrishna Nakshatri; Bryan Schneider; Fred E Regnier; Jiri Adamec; Charles Buck
Journal:  J Transl Med       Date:  2011-05-27       Impact factor: 5.531

10.  The effect of pre-analytical variability on the measurement of MRM-MS-based mid- to high-abundance plasma protein biomarkers and a panel of cytokines.

Authors:  Adriana Aguilar-Mahecha; Michael A Kuzyk; Dominik Domanski; Christoph H Borchers; Mark Basik
Journal:  PLoS One       Date:  2012-06-06       Impact factor: 3.240

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