Evidence map›Paper›PMID 31454437›Full record

ArticleThe Prostate2019

Metagenomic analysis reveals a rich bacterial content in high-risk prostate tumors from African men.

Ye Feng, Weerachai Jaratlerdsiri, Sean M Patrick, Ruth J Lyons, Anne-Maree Haynes, Colin C Collins, Phillip D Stricker, M S Riana Bornman, Vanessa M Hayes

Abstract read
In one paragraph

Article in The Prostate, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. Microbial dysbiosis and inferred functional profiling reveals the potential role ofFrontiers in cellular and infection microbiology · 2026
    Article
  9. Article
  10. Review
  11. Prostate and urinary microbiomes in prostate cancer development: focus onFrontiers in cellular and infection microbiology · 2025
    Review
  12. Review
  13. Review
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  15. Review
  16. Article
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  18. Microbiota and the landscape of the prostate tumor microenvironment.American journal of clinical and experimental urology · 2023
    Review
  19. Article
  20. Review
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

9 authors.

Ye FengSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Weerachai JaratlerdsiriLaboratory for Human Comparative and Prostate Cancer Genomics, Garvan Institute of Medical Research, The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia.
Sean M PatrickSchool of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
Ruth J LyonsLaboratory for Human Comparative and Prostate Cancer Genomics, Garvan Institute of Medical Research, The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia.
Anne-Maree HaynesLaboratory for Human Comparative and Prostate Cancer Genomics, Garvan Institute of Medical Research, The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia.
Colin C CollinsVancouver Prostate Centre, Vancouver, Canada.
Phillip D StrickerDepartment of Urology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia.
M S Riana BornmanSchool of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
Vanessa M HayesLaboratory for Human Comparative and Prostate Cancer Genomics, Garvan Institute of Medical Research, The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia.ORCID 0000-0002-4524-7280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation is a hallmark of prostate cancer (PCa), yet no pathogenic agent has been identified. Men from Africa are at increased risk for both aggressive prostate disease and infection. We hypothesize that pathogenic microbes may be contributing, at least in part, to high-risk PCa presentation within Africa and in turn the observed ethnic disparity.

methodsHere we reveal through metagenomic analysis of host-derived whole-genome sequencing data, the microbial content within prostate tumor tissue from 22 men. What is unique about this study is that patients were separated by ethnicity, African vs European, and environments, Africa vs Australia.

resultsWe identified 23 common bacterial genera between the African, Australian, and Chinese prostate tumor samples, while nonbacterial microbes were notably absent. While the most abundant genera across all samples included: Escherichia, Propionibacterium, and Pseudomonas, the core prostate tumor microbiota was enriched for Proteobacteria. We observed a significant increase in the richness of the bacterial communities within the African vs Australian samples (t = 4.6-5.5; P = .0004-.001), largely driven by eight predominant genera. Considering core human gut microbiota, African prostate tissue samples appear enriched for Escherichia and Acidovorax, with an abundance of Eubacterium associated with host tumor hypermutation.

conclusionsOur study provides suggestive evidence for the presence of a core, bacteria-rich, prostate microbiome. While unable to exclude for fecal contamination, the observed increased bacterial content and richness within the African vs non-African samples, together with elevated tumor mutational burden, suggests the possibility that bacterially-driven oncogenic transformation within the prostate microenvironment may be contributing to aggressive disease presentation in Africa.

Indexed as

MetagenomeBlack PeopleGenome, BacterialHumansMaleMiddle AgedProstateProstatic NeoplasmsWhite PeopleWhole Genome SequencingAfricabacterial burdenethnic disparitymicrobiomeprostate cancerprostate microenvironmenttumor mutational burden

Identifiers

PMID31454437
PMCPMC6790596

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LicenceCC BY-NC-ND
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Registered trials

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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.