ArticleData in brief2025
Dataset on characterisation of microbiome of prostate tissue and expressed prostatic secretions.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Dataset on characterisation of microbiome of prostate tissue and expressed prostatic secretions.Data in brief · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PCa) is the second most prevalent cancer in men, particularly affecting those of Black African descent. Nigeria currently has the fourth highest risk for PCa mortality in the world. The microbiome of the prostate has emerged as a critical factor in understanding the aetiology and progression of prostate diseases, such as prostate cancer (PCa), benign prostatic hyperplasia (BPH) , benign stromal hyperplasia (BSH) and prostatitis (PRO). This study to comparatively characterise the microbiome present in prostate tissue and expressed prostatic secretion (EPS) from 30 study subjects diagnosed with PCa, BPH, BSH and PRO and sampled from the urology clinic of Lagos State University Teaching Hospital Ikeja. Bacterial species community composition and diversity were analysed based on 16S rRNA metagenome nucleotide data to ensure the accuracy, reproducibility, and broader applicability of microbiological and genomic research. Data information allows for precise identification of organisms at the species or strain level, essential for verifying experimental results and comparisons of the isolated organism's genome with related strains, providing insights into genetic diversity, virulence factors, and metabolic pathways of the sample population microbiome.
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Registered trials
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