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Residual tissue repositories as a resource for population-based cancer proteomic studies

Overview of attention for article published in Clinical Proteomics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 285)
  • High Attention Score compared to outputs of the same age (89th percentile)

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1 news outlet
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21 X users

Citations

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38 Dimensions

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63 Mendeley
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Title
Residual tissue repositories as a resource for population-based cancer proteomic studies
Published in
Clinical Proteomics, August 2018
DOI 10.1186/s12014-018-9202-4
Pubmed ID
Authors

Paul D. Piehowski, Vladislav A. Petyuk, Ryan L. Sontag, Marina A. Gritsenko, Karl K. Weitz, Thomas L. Fillmore, Jamie Moon, Hala Makhlouf, Rodrigo F. Chuaqui, Emily S. Boja, Henry Rodriguez, Jerry S. H. Lee, Richard D. Smith, Danielle M. Carrick, Tao Liu, Karin D. Rodland

Abstract

Mass spectrometry-based proteomics has become a powerful tool for the identification and quantification of proteins from a wide variety of biological specimens. To date, the majority of studies utilizing tissue samples have been carried out on prospectively collected fresh frozen or optimal cutting temperature (OCT) embedded specimens. However, such specimens are often difficult to obtain, in limited in supply, and clinical information and outcomes on patients are inherently delayed as compared to banked samples. Annotated formalin fixed, paraffin embedded (FFPE) tumor tissue specimens are available for research use from a variety of tissue banks, such as from the surveillance, epidemiology and end results (SEER) registries' residual tissue repositories. Given the wealth of outcomes information associated with such samples, the reuse of archived FFPE blocks for deep proteomic characterization with mass spectrometry technologies would provide a valuable resource for population-based cancer studies. Further, due to the widespread availability of FFPE specimens, validation of specimen integrity opens the possibility for thousands of studies that can be conducted worldwide. To examine the suitability of the SEER repository tissues for proteomic and phosphoproteomic analysis, we analyzed 60 SEER patient samples, with time in storage ranging from 7 to 32 years; 60 samples with expression proteomics and 18 with phosphoproteomics, using isobaric labeling. Linear modeling and gene set enrichment analysis was used to evaluate the impacts of collection site and storage time. All samples, regardless of age, yielded suitable protein mass after extraction for expression analysis and 18 samples yielded sufficient mass for phosphopeptide analysis. Although peptide, protein, and phosphopeptide identifications were reduced by 50, 20 and 76% respectively, from comparable OCT specimens, we found no statistically significant differences in protein quantitation correlating with collection site or specimen age. GSEA analysis of GO-term level measurements of protein abundance differences between FFPE and OCT embedded specimens suggest that the formalin fixation process may alter representation of protein categories in the resulting dataset. These studies demonstrate that residual FFPE tissue specimens, of varying age and collection site, are a promising source of protein for proteomic investigations if paired with rigorously verified mass spectrometry workflows.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Ph. D. Student 10 16%
Student > Bachelor 5 8%
Student > Postgraduate 5 8%
Student > Master 5 8%
Other 8 13%
Unknown 18 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 24%
Agricultural and Biological Sciences 10 16%
Unspecified 4 6%
Medicine and Dentistry 4 6%
Chemistry 3 5%
Other 4 6%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 30 August 2018.
All research outputs
#1,607,594
of 23,099,576 outputs
Outputs from Clinical Proteomics
#8
of 285 outputs
Outputs of similar age
#35,727
of 331,034 outputs
Outputs of similar age from Clinical Proteomics
#1
of 4 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,034 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them