Evidence map›Paper›PMID 32884579›Full record

ReviewInfectious agents and cancer2020

The human microbiome and its link in prostate cancer risk and pathogenesis.

Paul Katongole, Obondo J Sande, Moses Joloba, Steven J Reynolds, Nixon Niyonzima

Abstract readReview
In one paragraph

Review in Infectious agents and cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–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

39 citing papers in PubMed.

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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

5 authors.

Paul KatongoleDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda.ORCID 0000-0003-4952-801X
Obondo J SandeDepartment of Immunology and Molecular biology, College of Health Sciences Makerere University, Kampala, Uganda.
Moses JolobaDepartment of Immunology and Molecular biology, College of Health Sciences Makerere University, Kampala, Uganda.
Steven J ReynoldsDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD USA.
Nixon NiyonzimaUganda Cancer Institute, Kampala, Uganda.

Funding

NURTURE:Research Training and Mentoring Program for Career Development of Faculty at Makerere University College of Health SciencesD43TW010132 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI SEWANKAMBO, NELSON K · 2015 to 2019
$4.3M
FIC NIH HHS D43 TW010132
6 · The paper itself

Abstract

There is growing evidence of the microbiome's role in human health and disease since the human microbiome project. The microbiome plays a vital role in influencing cancer risk and pathogenesis. Several studies indicate microbial pathogens to account for over 15-20% of all cancers. Furthermore, the interaction of the microbiota, especially the gut microbiota in influencing response to chemotherapy, immunotherapy, and radiotherapy remains an area of active research. Certain microbial species have been linked to the improved clinical outcome when on different cancer therapies. The recent discovery of the urinary microbiome has enabled the study to understand its connection to genitourinary malignancies, especially prostate cancer. Prostate cancer is the second most common cancer in males worldwide. Therefore research into understanding the factors and mechanisms associated with prostate cancer etiology, pathogenesis, and disease progression is of utmost importance. In this review, we explore the current literature concerning the link between the gut and urinary microbiome and prostate cancer risk and pathogenesis.

Indexed as

And urinary microbiomeGut microbiomeMicrobiomeMicrobiotaProstate cancer

Identifiers

PMID32884579
PMCPMC7460756

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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.