Document Detail


Towards proteome standards: the use of absolute quantitation in high-throughput biomarker discovery.
MedLine Citation:
PMID:  20399287     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The use of proteomics to profile biological fluids and identify therein biomarkers for cancer and other diseases was initially received with considerable excitement. However, results have fallen short of the expectations. Traditionally, protein biomarkers have been identified by measurement of relative expression changes between case and control samples from which differentially expressed proteins are then considered to represent biomarker candidates. We argue that current individual proteomics-based biomarker discovery studies lack the statistical strength for the identification of high-confidence biomarkers. Instead, multi-group efforts are necessary to facilitate the generation of sufficient sample sizes. This is contingent on the ability to collate and cross-compare data from different studies, which will require the use of a common metric or standards. Though profound, the technical challenges for absolute protein quantification can be overcome. The use of matrix specific, shared standards for absolute quantitation presents an opportunity to facilitate the much needed, but currently impossible, comparisons of different studies. In addition to community-wide approaches to standardize pre-analytical biomarker research studies, it is also important to establish means to integrate experimental data from different studies in order to assess the usefulness of proposed biomarkers with sufficient statistical certainty.
Authors:
Tzu-Chiao Chao; Nicole Hansmeier; Rolf U Halden
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Publication Detail:
Type:  Letter; Research Support, N.I.H., Extramural     Date:  2010-04-22
Journal Detail:
Title:  Journal of proteomics     Volume:  73     ISSN:  1876-7737     ISO Abbreviation:  J Proteomics     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-06-14     Completed Date:  2010-09-13     Revised Date:  2013-05-29    
Medline Journal Info:
Nlm Unique ID:  101475056     Medline TA:  J Proteomics     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1641-6     Citation Subset:  IM    
Copyright Information:
Copyright 2010 Elsevier B.V. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Biological Markers / analysis*,  metabolism
Humans
Proteome / standards*
Proteomics / methods,  standards*
Validation Studies as Topic
Grant Support
ID/Acronym/Agency:
1R01ES015445/ES/NIEHS NIH HHS; R01 ES015445-03/ES/NIEHS NIH HHS; R01 ES015445-04/ES/NIEHS NIH HHS; R01 ES015445-04S1/ES/NIEHS NIH HHS; R01 ES015445-04S2/ES/NIEHS NIH HHS; R01 ES015445-04S3/ES/NIEHS NIH HHS
Chemical
Reg. No./Substance:
0/Biological Markers; 0/Proteome
Comments/Corrections

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