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Identification of Multiple Novel Protein Biomarkers Shed by Human Serous Ovarian Tumors into the Blood of Immunocompromised Mice and Verified in Patient Sera

Overview of attention for article published in PLOS ONE, March 2013
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Title
Identification of Multiple Novel Protein Biomarkers Shed by Human Serous Ovarian Tumors into the Blood of Immunocompromised Mice and Verified in Patient Sera
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0060129
Pubmed ID
Authors

Lynn A. Beer, Huan Wang, Hsin-Yao Tang, Zhijun Cao, Tony Chang-Wong, Janos L. Tanyi, Rugang Zhang, Qin Liu, David W. Speicher

Abstract

The most cancer-specific biomarkers in blood are likely to be proteins shed directly by the tumor rather than less specific inflammatory or other host responses. The use of xenograft mouse models together with in-depth proteome analysis for identification of human proteins in the mouse blood is an under-utilized strategy that can clearly identify proteins shed by the tumor. In the current study, 268 human proteins shed into mouse blood from human OVCAR-3 serous tumors were identified based upon human vs. mouse species differences using a four-dimensional plasma proteome fractionation strategy. A multi-step prioritization and verification strategy was subsequently developed to efficiently select some of the most promising biomarkers from this large number of candidates. A key step was parallel analysis of human proteins detected in the tumor supernatant, because substantially greater sequence coverage for many of the human proteins initially detected in the xenograft mouse plasma confirmed assignments as tumor-derived human proteins. Verification of candidate biomarkers in patient sera was facilitated by in-depth, label-free quantitative comparisons of serum pools from patients with ovarian cancer and benign ovarian tumors. The only proteins that advanced to multiple reaction monitoring (MRM) assay development were those that exhibited increases in ovarian cancer patients compared with benign tumor controls. MRM assays were facilely developed for all 11 novel biomarker candidates selected by this process and analysis of larger pools of patient sera suggested that all 11 proteins are promising candidate biomarkers that should be further evaluated on individual patient blood samples.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 41%
Student > Master 4 13%
Student > Ph. D. Student 3 9%
Student > Postgraduate 2 6%
Lecturer 1 3%
Other 3 9%
Unknown 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Biochemistry, Genetics and Molecular Biology 7 22%
Medicine and Dentistry 6 19%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Unspecified 1 3%
Other 2 6%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 March 2013.
All research outputs
#20,187,333
of 22,703,044 outputs
Outputs from PLOS ONE
#172,974
of 193,827 outputs
Outputs of similar age
#172,993
of 197,839 outputs
Outputs of similar age from PLOS ONE
#4,397
of 5,337 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5,337 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.