| Literature DB >> 35510078 |
Makito Miyake1, Yoshihiro Tatsumi1, Kenta Ohnishi1, Tomomi Fujii2, Yasushi Nakai1, Nobumichi Tanaka1,3, Kiyohide Fujimoto1.
Abstract
The microbiome in various organs involves a vast network that plays a key role in the health and wellness of the human body. With recent advances in biological technologies such as high-throughput sequencing, transcriptomics, and metabolomics, it appears that the microbial signature varies dynamically among individuals, creating various roles in metabolism, local and systemic inflammation, and host immunity. Urinary and genital organs, including the prostate, seminal vesicles, and urinary bladder, are reservoirs of several bacterial, viral, and fungal communities. Accumulating evidence has suggested profound roles for the gut, urinary, and intraprostate microbiomes in genitourinary benign and malignant diseases. This review article addresses microbiome-related evidence for three major diseases involved in prostate cancer: chronic prostatitis (CP), benign prostatic hyperplasia (BPH), and prostate cancer (PCa). Symptomatic CP is known as CP/chronic pelvic pain syndrome. CP is one of the most common prostate diseases in young men, accounting for 8% of all men visiting a urologic clinic. Although oral medication is the gold standard therapy for patients with BPH, approximately 13% of men present with clinical progression within 4 years after the initiation of treatment, with 5% requiring surgical intervention. The identification of proinflammatory cytokines and pathogens responsible for the clinical progression of BPH is still underway. Several topics regarding the association between PCa and the microbiome are discussed in this review as follows: i) intraprostatic microbiome and the risk of PCa, ii) gut microbiome and PCa, iii) gut microbiome and the risk of radiation-induced side effects, iv) isoflavone intake and equol-producing intestinal flora on PCa, and v) the inhibitory effect of daidzein and equol on tumor growth and progression of PCa. Further studies are required for a comprehensive understanding between the urogenital microbiome and prostate pathogenesis to facilitate the development of preventive and therapeutic approaches for prostate diseases.Entities:
Keywords: Inflammation; Isoflavones; Microbiome; Prostate cancer; Prostatic hyperplasia
Year: 2022 PMID: 35510078 PMCID: PMC9052083 DOI: 10.1016/j.prnil.2022.03.004
Source DB: PubMed Journal: Prostate Int ISSN: 2287-8882
Representative studies for the association between chronic prostatitis/chronic pelvic pain syndrome and microbiome.
| The first author (Published year) | Material | No. of patients | Methods Aassays | Major findings ( | Clinical relevance and interpretation | Reference No. |
|---|---|---|---|---|---|---|
| Ivanov et al. (2009) | Seminal fluid | 60 men with CP/CPPS and 48 healthy men from 20 to 35 years-old | Aerobic culture | Enterobacteriaceae, enterococci and | Important to discriminate between different forms of persistent infection of prostate | |
| Ivanov et al. (2010) | Seminal fluid | 137 men with CP and 48 healthy men | Phenotyping of coagulase-negative staphylococci | A significantly higher proportion of CP/CPPS strains demonstrated inhibition of lysozyme and platelet microbicidal protein. Bacteria isolated from the control men, strains isolated from men with CPS demonstratedmore intensive inhibition of the bactericidal activity of lysozyme (3.8 ± 0.9 microgram⁄mL vs. 0.7 ± 0.5 microgram⁄mL, p < 0.05). | Identifying these phenotypic characteristics inclinical laboratories would be helpful to differentiate which staphylococcal bacteriospermia case should be treated and which should not. | |
| Choi et al. (2013) | Expressed prostatic secretion (EPS) Post-massage urine (VB3) | 293 men with CP (105 in a general hospital and 188 in a primary care clinic) | Bacterial culture of EPS or VB3 PCR of EPS or VB3 | Routine EPS or VB3 culture detected 12 positive culture of 105 patients (11%) in the general hospital, but 77 positive culture of 188 patients (41%) in the primary care clinic. The PCR diagnosis detected 37 positive PCR of 105 patients (35%) in the general hospital, and 65 positive PCR of 188 patients (35%) in the primary care clinic. The proportions of bacterial CP were 47% and 68% in the general hospital and primary care clinic, respectively. The total portion of bacterial CP was 59%. | Culture-positive patients in the primary care clinic were significantly higher than in the general hospital. The number of PCR positive patients in the primary care clinic was similar to that in the general hospital. | |
| Nickel et al. (2015) | Initial and midstream urine (VB1 and VB2) Post-massage urine (VB3) | 110 men with CP and 115 controls | Next-generation, culture-independent methodology and Multidisciplinary Approach to the study of Pelvic Pain (MAPP) | Overall species and genus composition differed significantly between CP/CPPS and control participants in VB1 (p = 0.002 species level, p = 0.004 genus level) with | Assessment of baseline culture-independent microbiological data from male subjects enrolled in the MAPP Network has identified over representation of B cenocepacia in CP/CPPS. | |
| Shoskes et al. (2016) | Fecal DNA | 25 men with CP/CPPS and 25 controls | MiSeq sequencing of bacterial specific 16S rRNA capture and Taxonomic and bioinformatic analyses using principal coordinate analysis | Patients with CP/CPPS have significantly less gut microbiome diversity which clusters differently from controls, and robustly lower counts of Prevotella, with separation sufficient to serve as a potential biomarker. | The gut microbiome may serve as disease biomarker and potential therapeutic target in CP/CPPS. | |
| Shoskes et al. (2016) | Urine DNA | 25 patients with CP/CPPS and 25 controls | MiSeq sequencing of bacterial specific 16S rRNA capture, and taxonomic and functional bioinformatic analyses used principal coordinate analysis | Urinary microbiomes from patients with CP/CPPS have significantly higher diversity which cluster differently from controls, and higher counts of Clostridia compared with controls. | Predicted perturbations of functional pathways suggest metabolite-specific targeted treatment. Several measures of severity and clinical phenotype have significant microbiome differences. | |
| Mändar et al. (2017) | Seminal fluid DNA | 21 men with CP/CPPS and 46 healthy controls | Sequenced using an Illumina paired-end protocol on HiSeq2000 platform | The most abundant phylum in semen was Firmicutes. The counts of lactobacilli were higher in controls than CP/CPPS patients, especially for Lactobacillus iners. Proteobacteria comprised higher proportions in CP/CPPS patients than controls. The species richness was higher in CP/CPPS patients than controls. | The seminal fluid of CP/CPPS patients contains fewer health-supporting lactobacilli, and has higher species diversity than that of healthy controls. | |
| Choi et al. (2020) | Seminal fluid | 17 men diagnosed with CP/CPPS and four healthy volunteers | Bacterial culture and DNA pyrosequencing | None of the semen samples showed colony formation in conventional bacterial cultures. Pyrosequencing revealed multiple bacterial genera in all samples, including an abundance of fastidious bacteria. Corynebacterium, Pseudomonas, Sphingomonas, Staphylococcus, and Streptococcus were frequently detected nonspecifically in both the patient and control groups. However, Achromobacter, Stenotrophomonas, and Brevibacillus were more frequently found in the CP/CPPS patients. | The identification of dominant species in the CP/CPPS group other than those reported in previous studies might be helpful for future etiological analysis of CP/CPPS. | |
| Wu et al. (2020) | Urethral secretions Expressed prostatic secretion (EPS) | 33 men with CP/CPPS III and 30 healthy men | Next-generation sequencing | The microbial compositions of the urethral secretions and EPS collected from the same subject were essentially the same. | Changes in the urinary tract microbiome may disrupt the microecological balance of the urinary system, leading to inflammation. Conversely, the true pathogens of CP/CPPS may not be prokaryotic or eukaryotic microorganisms. | |
| Suárez et al. (2021) | Urine Seminal fluid | 5 men with CP/CPPS 5 and fertile volunteers | Sequencing and Nitric oxide levels and proinflammatory cytokines in seminal and serum | The microbiota present in the semen and urine samples of fertile men presents more operational taxonomical units. Less microbial diversity could be associated with chronic prostatitis symptoms. | CP does not seem to affect male fertility. | |
| Kogan et al. (2021) | Post-massage urine (VB3) | 170 with a history of CP/CPPS from 18 to 45 years-old | Meares-Stamey test | In patients with CP/CPPS, a predominance of anaerobes or a combination of aerobes and anaerobes in a titer of ≥ 103 colony-forming units per mL in post-massage urine is associated with worse clinical status. | The main components that determine the severity of symptoms are an increase in microbial load and qualitative differences in the composition of the microbiota. |
CP/CPPS, chronic prostatitis/chronic pelvic pain syndrome; CP, Chronic prostatitis.
Representative studies for the association between benign prostatic hyperplasia/lower urinary tract symptoms and microbiome.
| The first author (Published year) | Material | No. of patients | Methods Aassays | Major findings (ex, specifiic pathogens) | Clinical relevance and interpretation | Reference No. |
|---|---|---|---|---|---|---|
| Yu et al. (2014) | Urine, seminal fluid expressed prostatic secretion (EPS) | 21 men with BPH and 13 men with PCa | 16S rRNA gene sequencing with PCR-DGGE analysis | Bacterial flora in expressed prostatic secretions of patients with BPH differ from those with PCa. | Significant changes in the microbial population in EPS, urine and seminal fluid of subjects with prostate cancer and BPH, indicating a possible role for these bacteria in BPH and PCa | |
| Bajic et al. (2018) | Midstream voided urine, Catheterized urine | 49 men with BPH | EQUC, 16S rRNA gene sequencing | Increased symptom score severity associated with detectable bacteria on catheterized urine, voided urine is inadequate to sample the bladder microbiome. | Voided urine does not adequately characterize the male bladder microbiome. In males with and without BPE, IPSS severity was associated with detectable bacteria in catheterized urine. | |
| Holland et al. (2019) | DNA from urine and fecal samples | 30 men with LUTS | 16S ribosomal RNA gene high-throughput next-generation sequencing platform. The microbial profiles for taxonomy examining the correlation between the different operational taxonomy units (OTUs). | The most substantial negative correlation was between Lachnospiraceae Blautia, a bacteria that increases the availability of gut anxiolytic and antidepressant short-chain fatty acids, and bother. The abundance of L. Blautia continued to have a protective correlation against LUTS when looking at the different levels of IPSS severity. | Ten unique urinary OTUs showed significant correlation with LUTS. No fecal OUT had more than a low correlation with the outcomes of interest. | |
| Jain et al. (2020) | DNA and sections from resected tissue | 36 men with BPH | Culture and/or next-generation sequencing Immunohistological evaluation of tissue sections | Microbial culture of tissue samples showed the presence of live bacteria in 55.5% of the patient tissues. Majority of the isolates were CPS, E. coli and Micrococcus spp. the presence of multiple bacteria and the most common phylum in the BPH tissues were found to be Proteobacteria, Actinobacteria, Firmicutes, and Bacteroidetes. staining confirmed the presence of cells with damaged DNA lesion in BPH tissues and also correlated with the severity of inflammation. | BPH tissues do have a divergent microbial composition including the commonly found E. coli and these bacteria might contribute to the BPH-associated inflammation and/or tissue damage. The BPH-associated E. coli induced NF-κB signaling and DNA damage in prostate epithelial cells in vitro. | |
| Lee et al. (2021) | Midstream voided urine DNA | 77 men with BPH and 30 controls | 16S Metagenomic Sequencing. Operational taxonomic unit (OTU) clusters are obtained. | Some of bacterial genera present in the samples of the BPH group. Some of bacterial genera correlated with a high IPSS, and severe storage and voiding symptoms. | Dysbiosis of urine microbiota may be related to the development of BPH and the severity of LUTS. |
BPH, benign prostatic hyperplasia; IPSS, International Prostate Symptom Score; LUTS, lower urinary tract symptoms; PCa, prostate cancer.
Figure 1Association between age and the Data for patient age at surgery for the Mycoplasma genitalium-positive and Mycoplasma genitalium-negative groups are shown as scatterplots in the PCa cohort (A) and the PCa/BPH cohort (B) analysis. The Mann–Whitney U test was used to compare the two groups. This figure is cited from Reference number 9. PCa, prostate cancer; BPH, benign prostatic hyperplasia; M. genitalium, Mycoplasma genitalium.
Representative studies investigating compositional differences of bacteria in stool samples or rectal swab of patients with prostate cancer.
| The first author (Published year) | Material | No. of patients | Methods Aassays | Major findings (ex, specifiic pathogens) | Clinical relevance and interpretation | Reference No. |
|---|---|---|---|---|---|---|
| Liss et al. (2018) | Rectal swabs before prostate biopsy | 64 men with PCa and 41 men without cancer | 16S rRNA gene sequencing with Communities by Reconstruction of Unobserved States (PICRUSt) | Higher abundance in PCa: Bacteroides, Streptococcus | The authors formed a novel microbiome-derived risk factor for prostate cancer based on 10 aberrant metabolic pathways (area under curve = 0.64, p = 0.02). | |
| Golombos et al. (2018) | Stool samples before prostate biopsy | 20 men with intermediate or high risk localized PCa 8 men without cancer | Computational genomics analysis using MetaPhlAn2 and HUMAnN2 platforms. | Higher abundance in PCa: Bacteroides massiliensis Higher abundance in controls: Faecalibacterium prausnitzii, Eubacterium rectalie | Biologically significant differences exist in the gut microbial composition of men with PCa and healthy controls. | |
| Sfanos et al. (2018) | Rectal swabs from patients with different clinical states of PCa | 30 men with PCa or without cancer | 16S rDNA amplicon sequencing Functional inference of identified taxa using PICRUSt | Higher in men receiving androgen axis target therapy: Akkermansia muciniphila, Ruminococcaceae spp., Lachnospiraceae spp. Lower in men receiving androgen deprivation therapy: (family) Brevibacteriaceae, Erysipelorichaceae, Streptococcaceae | The authors speculate that oral hormonal therapies may change the gut microbiota, influence clinical responses to therapy, and/or potentially modulate the antitumor effects of future therapies such as immunotherapy. | |
| Alanee et al. (2019) | Rectal swabs before prostate biopsy | 30 men with PCa and 16 men without cancer | 16S rRNA gene high-throughput next-generation sequencing platform Differential analysis of the operational taxonomical units (OTUs) | Higher abundance in PCa: Bacteroides | Analysis of the bacterial taxonomies revealed no clustering in concordance with benign or malignant prostate biopsies. | |
| Matsushita et al. (2021) | Rectal swabs before prostate biopsy | 96 men with PCa and 56 men without cancer | 16S rDNA amplicon sequencing | Higher in high-risk PCa (grade group 2 or higher) group: Rikenellaceae, Alistipes, and Lachnospira (all short-chain fatty acid-producing bacteria | The specific bacterial taxa are associated with high-risk PCa. The gut microbiota profile can be a novel tool for the detection of high-risk PCa. | |
| Liu et al. (2020) | Stool samples before and after castration-resistance | 21 men with PCa treated with ADT | 16S rRNA gene amplicon sequencing Differences in microbiota were determined with α/β-diversity and LefSe analysis. Functional inference of microbiota was performed with PICRUSt. | Increaced abundance in castration-resistant PCa: Phascolarctobacterium and Ruminococcus. | Analysis of the bacterial taxonomies revealed no clustering in concordance with benign or malignant prostate biopsies. |
PCa, prostate cancer; ADT, androgen deprivation therapy.
Figure 2Association between epithelial-mesenchymal transition, high Gleason’ score, and pretreatment serum daidzein level in patients with localized prostate cancer. A) Immunohistochemical staining analysis using primary antibodies against E-cadherin, vimentin, Slug, and Snail. The association between each marker and the Gleason grade are evaluated. B) Pretreatment serum daidzein level among tumors with different Gleason scores is compared using the Mann–Whitney U test. C) Correlation between the pretreatment serum daidzein level and the rate of vimentin-positive cancer cells are tested using Spearman's rank correlation coefficient.
Figure 3Daily intake of equol prolongs survival and inhibits development of prostate cancer. A) Serum level of equol in transgenic adenocarcinoma of the mouse prostate (TRAMP)/FVB mice comparing the equol-containing food group and the standard food group. A P-value is obtained using the Mann–Whitney U test. B) Cancer-specific survival curves of TRAMP/FVB mice comparing the equol-containing food group and the standard food group. A P-value is obtained using the log-rank test. C) Hematoxylin and eosin staining images of 20 week-old mice prostate sections comparing the equol-containing food group and the standard food group. Dashed black lines indicate borders between the cancer lesion and the normal area. Cancer occupation rate in the prostate section was calculated based on hematoxylin and eosin-stained sections and was compared between the equol-containing food group and the standard food group. PCa, prostate cancer; HG-PIN, high-grade prostatic intraepithelial neoplasia.