Dataset Information

The urinary microbiome associated with bladder cancer.

ABSTRACT: Recent findings suggest that human microbiome can influence the development of cancer, but the role of microorganisms in bladder cancer pathogenesis has not been explored yet. The aim of this study was to characterize and compare the urinary microbiome of bladder cancer patients with those of healthy controls. Bacterial communities present in urine specimens collected from 12 male patients diagnosed with bladder cancer, and from 11 healthy, age-matched individuals were analysed using 16S sequencing. Our results show that the most abundant phylum in both groups was Firmicutes, followed by Actinobacteria, Bacteroidetes and Proteobacteria. While microbial diversity and overall microbiome composition were not significantly different between groups, we could identify operational taxonomic units (OTUs) that were more abundant in either group. Among those that were significantly enriched in the bladder cancer group, we identified an OTU belonging to genus Fusobacterium, a possible protumorigenic pathogen. In an independent sample of 42 bladder cancer tissues, 11 had Fusobacterium nucleatum sequences detected by PCR. Three OTUs from genera Veillonella, Streptococcus and Corynebacterium were more abundant in healthy urines. However, due to the limited number of participants additional studies are needed to determine if urinary microbiome is associated with bladder cancer.

SUBMITTER: Bucevic Popovic V

PROVIDER: S-EPMC6092344 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The urinary microbiome associated with bladder cancer.

Bučević Popović Viljemka V Šitum Marijan M Chow Cheryl-Emiliane T CT Chan Luisa S LS Roje Blanka B Terzić Janoš J

Scientific reports 20180814 1

Recent findings suggest that human microbiome can influence the development of cancer, but the role of microorganisms in bladder cancer pathogenesis has not been explored yet. The aim of this study was to characterize and compare the urinary microbiome of bladder cancer patients with those of healthy controls. Bacterial communities present in urine specimens collected from 12 male patients diagnosed with bladder cancer, and from 11 healthy, age-matched individuals were analysed using 16S sequenc ...[more]

PMID: 30108246

Similar Datasets

Project description:There are a total of 82,290 new cases and 16,710 deaths estimated for bladder cancer in the United States in 2023. Currently, urine cytology tests are widely used for bladder cancer diagnosis, though they suffer from variable sensitivity, ranging from 45 to 97%. More recently, the microbiome has become increasingly recognized for its role in human diseases, including cancers. This study attempts to characterize urinary microbiome bladder cancer-specific dysbiosis to explore its diagnostic potential. RNA-sequencing data of urine samples from patients with bladder cancer (n = 18) and matched controls (n = 12) were mapped to bacterial sequences to yield species-level abundance approximations. Urine samples were analyzed at both the population and species level to reveal dysbiosis associated with bladder cancer. A panel of 35 differentially abundant species was discovered, which may be useful as urinary biomarkers for this disease. We further assessed whether these species were of similar significance in a validation dataset (n = 81), revealing that the genera Escherichia, Acinetobacter, and Enterobacter were consistently differentially abundant. We discovered distinct patterns of microbial-associated immune modulation in these samples. Several immune pathways were found to be significantly enriched with respect to the abundance of these species, including antigen processing and presentation, cytosolic DNA sensing, and leukocyte transendothelial migration. Differential cytokine activity was similarly observed, suggesting the urinary microbiome's correlation to immune modulation. The adherens junction and WNT signaling pathways, both implicated in the development and progression of bladder cancer, were also enriched with these species. Our findings indicate that the urinary microbiome may reflect both microbial and immune dysregulations of the tumor microenvironment in bladder cancer. Given the potential biomarker species identified, the urinary microbiome may provide a non-invasive, more sensitive, and more specific diagnostic tool, allowing for the earlier diagnosis of patients with bladder cancer.

Project description:Objectives: Emerging evidence indicates that alterations to the urinary microbiome are related to lower urinary tract symptoms. Overactive bladder (OAB) is a common disorder with complex etiologies and usually accompanied by psychological diseases. More information concerning the urinary microbiome and psychological factors in OAB is required. The aim of this study was to characterize the female urinary microbiome associated with OAB and investigate the relationships between urinary microbiome and psychological factors. Methods: Thirty women with OAB and 25 asymptomatic controls were recruited and asked to finish the Overactive Bladder Symptom Score, Self-Rating Anxiety Scale and Self-Rating Depression Scale. Urine specimens were collected by transurethral catheterization and processed for 16S rRNA gene sequencing using Illumina MiSeq. Sequencing reads were processed using QIIME. LEfSe revealed significant differences in bacterial genera between controls and OAB patients. The relationships between the diversity of the urinary microbiome and psychological scores were identified by Pearson's correlation coefficient. Results: We found that bacterial diversity (Simpson index) and richness (Chao1) were lower in OAB samples compared to controls (P both = 0.038). OAB and control bacterial communities were significantly different (based on weighted UniFrac distance metric, R = 0.064, P = 0.037). LEfSe demonstrated that 7 genera were increased (e.g., Proteus and Aerococcus) and 13 were reduced (e.g., Lactobacillus and Prevotella) in OAB group compared to controls. There were negative correlations between scores on Self-Rating Depression Scale and both richness (Chao1, r = -0.458, P = 0.011) and diversity (Shannon index, r = -0.516, P = 0.003) of urinary microbiome in OAB group. Some bacterial genera of OAB women with anxiety or depression were significantly different from those without. Conclusions: The aberrant urinary microbiome with decreased diversity and richness may have strong implications in pathogenesis and treatment of OAB. Psychological conditions were correlated with characteristics of urinary microbiome in women with OAB. Further research is needed to understand the connection between central nervous system and urinary microbiome.

Dataset Information

The urinary microbiome associated with bladder cancer.

Publications

The urinary microbiome associated with bladder cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets