Literature DB >> 20821805

Development of selected reaction monitoring-MS methodology to measure peptide biomarkers in prostate cancer.

Anastasia K Yocum1, Amjad P Khan, Rong Zhao, Arul M Chinnaiyan.   

Abstract

Prostate cancer is a leading cause of cancer-related death. The current modality of diagnosis, the measurement of serum PSA, not only suffers from lack of specificity, but does not distinguish clinical cases in which current treatment measures would be most successful, i.e. aggressive, life-threatening tumors. A multiplexed MS methodology, selected reaction monitoring-MS/MS coupled with stable isotope dilution (SID), was developed and tested in both cells lines and clinical tissue samples. Standard curves were generated for two peptides representing PSA and one peptide from each of two additional orthogonally validated biomarkers, AMACR and EZH2. The standard curves show high reproducibility, sensitivity, and good linearity. All four peptides were then measured in six clinically relevant cell lines and are in agreement with the biochemical characteristics of each individual cell line. The SID selected reaction monitoring-MS/MS methodology was then transferred to tissue samples, in which the assay shows potential to differentiate benign disease from localized cancer and localized cancer from aggressive metastatic disease. These results establish the preliminary development of a rational targeted MS platform that strives to bridge the gap between discovery and validation of biomarkers for the detection of prostate cancer.

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Year:  2010        PMID: 20821805     DOI: 10.1002/pmic.201000023

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


  9 in total

1.  Identification of a novel proteoform of prostate specific antigen (SNP-L132I) in clinical samples by multiple reaction monitoring.

Authors:  Akos Végvári; Karin Sjödin; Melinda Rezeli; Johan Malm; Hans Lilja; Thomas Laurell; György Marko-Varga
Journal:  Mol Cell Proteomics       Date:  2013-07-10       Impact factor: 5.911

2.  Quantification of peptides from immunoglobulin constant and variable regions by LC-MRM MS for assessment of multiple myeloma patients.

Authors:  Elizabeth R Remily-Wood; Kaaron Benson; Rachid C Baz; Y Ann Chen; Mohamad Hussein; Monique A Hartley-Brown; Robert W Sprung; Brianna Perez; Richard Z Liu; Sean J Yoder; Jamie K Teer; Steven A Eschrich; John M Koomen
Journal:  Proteomics Clin Appl       Date:  2014-09-15       Impact factor: 3.494

Review 3.  Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.

Authors:  Tujin Shi; Dian Su; Tao Liu; Keqi Tang; David G Camp; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

Review 4.  Novel approaches for the identification of biomarkers of aggressive prostate cancer.

Authors:  Yunee Kim; Thomas Kislinger
Journal:  Genome Med       Date:  2013-06-28       Impact factor: 11.117

5.  Utility of RNA-seq and GPMDB protein observation frequency for improving the sensitivity of protein identification by tandem MS.

Authors:  Avinash K Shanmugam; Anastasia K Yocum; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2014-07-28       Impact factor: 4.466

Review 6.  The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer.

Authors:  Claire L Tonry; Emma Leacy; Cinzia Raso; Stephen P Finn; John Armstrong; Stephen R Pennington
Journal:  Diagnostics (Basel)       Date:  2016-07-18

Review 7.  Prostate cancer proteomics: Current trends and future perspectives for biomarker discovery.

Authors:  Cristiana Pistol Tanase; Elena Codrici; Ionela Daniela Popescu; Simona Mihai; Ana-Maria Enciu; Laura Georgiana Necula; Adrian Preda; Gener Ismail; Radu Albulescu
Journal:  Oncotarget       Date:  2017-03-14

8.  Exploiting the transcriptional specificity of the alpha-methylacyl-CoA racemase AMACR promoter for the molecular imaging of prostate cancer.

Authors:  Mariya Shapovalova; Julia Davydova; Christine Henzler; Mark Daniel; Scott M Dehm; Christopher A Warlick; Aaron M LeBeau
Journal:  Oncotarget       Date:  2018-11-30

9.  Application of clinical proteomics in acute respiratory distress syndrome.

Authors:  Maneesh Bhargava; LeeAnn Higgins; Christine H Wendt; David H Ingbar
Journal:  Clin Transl Med       Date:  2014-10-15
  9 in total

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