Evidence map›Paper›PMID 28101126›Full record

ArticleInfectious agents and cancer2017

Characterisation of microbial communities within aggressive prostate cancer tissues.

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

Open access · goldAbstract read
In one paragraph

Article in Infectious agents and cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  6. Biology · 2025
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  15. Prostate and urinary microbiomes in prostate cancer development: focus onFrontiers in cellular and infection microbiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Melissa A YowGenetic Epidemiology Laboratory, Department of Pathology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, VIC, Australia 3010.
Sepehr N TabriziDepartment of Microbiology and Infectious Diseases, Royal Women's Hospital, Parkville, VIC Australia 3052 ; Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC Australia 3010 ; Murdoch Childrens Research Institute, Parkville, VIC Australia 3052.
Gianluca SeveriHuman Genetics Foundation (HuGeF), Via Nizza, 52-10126 Torino, Italy.
Damien M BoltonDepartment of Surgery, University of Melbourne, Austin Health, 145 Studley Road, Heidelberg, VIC Australia 3084.
John PedersenTissuPath, 92-96 Ricketts Road, Mount Waverley, VIC Australia 3149.
Australian Prostate Cancer BioResource
Graham G GilesCancer Epidemiology and Intelligence Division, Cancer Epidemiology Centre, Cancer Council Victoria, Level 2, 615 St Kilda Road, Melbourne, VIC Australia 3004 ; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC Australia 3053.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, VIC, Australia 3010.
The University of Melbourne · AUAustin Health · AURoyal Children's Hospital · AURoyal Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn 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.

methodsTwo 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.

resultsOverall, 16S rRNA sequencing identified

conclusionsAs 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.

Indexed as

16S rRNAcDNAInfectionPropionibacterium acnesProstate cancerRNASexually transmitted infection

Identifiers

PMID28101126
PMCPMC5237345
OpenAlexW2577549478

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.