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Characterisation of microbial communities within aggressive prostate cancer tissues

Overview of attention for article published in Infectious Agents and Cancer, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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Citations

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45 Dimensions

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49 Mendeley
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Title
Characterisation of microbial communities within aggressive prostate cancer tissues
Published in
Infectious Agents and Cancer, January 2017
DOI 10.1186/s13027-016-0112-7
Pubmed ID
Authors

Melissa A. Yow, Sepehr N. Tabrizi, Gianluca Severi, Damien M. Bolton, John Pedersen, Australian Prostate Cancer BioResource, Graham G. Giles, Melissa C. Southey

Abstract

An infectious aetiology for prostate cancer has been conjectured for decades but the evidence gained from questionnaire-based and sero-epidemiological studies is weak and inconsistent, and a causal association with any infectious agent is not established. We describe and evaluate the application of new technology to detect bacterial and viral agents in high-grade prostate cancer tissues. The potential of targeted 16S rRNA gene sequencing and total RNA sequencing was evaluated in terms of its utility to characterise microbial communities within high-grade prostate tumours. Two different Massively Parallel Sequencing (MPS) approaches were applied. First, to capture and enrich for possible bacterial species, targeted-MPS of the V2-V3 hypervariable regions of the 16S rRNA gene was performed on DNA extracted from 20 snap-frozen prostate tissue cores from ten "aggressive" prostate cancer cases. Second, total RNA extracted from the same prostate tissue samples was also sequenced to capture the sequence profile of both bacterial and viral transcripts present. Overall, 16S rRNA sequencing identified Enterobacteriaceae species common to all samples and P. acnes in 95% of analyzed samples. Total RNA sequencing detected endogenous retroviruses providing proof of concept but there was no evidence of bacterial or viral transcripts suggesting active infection, although it does not rule out a previous 'hit and run' scenario. As these new investigative methods and protocols become more refined, MPS approaches may be found to have significant utility in identifying potential pathogens involved in disease aetiology. Further studies, specifically designed to detect associations between the disease phenotype and aetiological agents, are required.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 7 14%
Unknown 16 33%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Biochemistry, Genetics and Molecular Biology 6 12%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 6%
Unknown 20 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 February 2017.
All research outputs
#4,010,625
of 22,940,083 outputs
Outputs from Infectious Agents and Cancer
#55
of 520 outputs
Outputs of similar age
#80,453
of 421,731 outputs
Outputs of similar age from Infectious Agents and Cancer
#1
of 11 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 520 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 89% 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 421,731 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 80% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.