Effect of hypertension on bacteria composition of prostate biopsy in patients with benign prostatic hyperplasia and prostate cancer in PSA grey-zone

  • Authors:
    • Xiaofeng Ni
    • Hongzhou Meng
    • Feng Zhou
    • Haining Yu
    • Jianjian Xiang
    • Shengrong Shen
  • View Affiliations

  • Published online on: April 14, 2016     https://doi.org/10.3892/br.2016.655
  • Pages: 765-769
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Diagnostic prostate cancer (PC) is difficult to diagnose by prostate biopsy, even in patients with markedly elevated PSA levels. Therefore, we aimed to identify a new, better technique to detect PC in a more consistent manner. A variety of steps were employed to validate this proposed method, including DNA extraction, polymerase chain reaction (PCR) amplification, denaturing gradient gel electrophoresis (DGGE) and DGGE band sequencing. Four transperineal prostate biopsy specimens were obtained from male patients. The patients were under the age of 65 and PSA levels were 4-10 ng/ml. We also investigated the bacteria composition of transperineal prostate biopsy in patients with benign prostatic hyperplasia (BPH) and PC by PCR-DGGE profiling. Sequences from selected bands 2 and 4 both matched with Sphingomonas, which is present in lower amounts in PC without hypertension as compared to PC with hypertension, while there were no particular differences in the BPH group. Specific bacteria from the prostate biopsy tissues provide further confidence in PC diagnosis based on a PCR approach as a diagnostic tool, while hypertension was found to be a disturbing factor that can affect the diagnosis of BPH and PC in grey-zone.

Introduction

Prostate cancer (PC) is one of the most common cancer types inflicting men, only second to cutaneous cancer, and the second leading cause of cancer-related mortalities for men (1). In 2014, an estimated number of 233,000 men were diagnosed with PC and 29,480 men succumbed to the disease in the USA (2). This indicated the need to further investigate PC.

Hypertension is the largest attributable risk factor for mortality worldwide (3), and is responsible for >50% of stroke and coronary heart disease (CHD). The risk factors of hypertension include sedentary lifestyle, stress, visceral obesity, potassium deficiency, obesity, salt sensitivity, alcohol intake and vitamin D deficiency (4). Previous studies suggested that men with hypertension are more likely to be diagnosed with PC than those without hypertension (5). However, the number of studies exploring the correlation between hypertension and PC risk are rather limited. Han et al and Takeshita et al considered that high blood pressure is positively associated with concurrent serum PSA levels (6,7).

Previous findings showed that the microbial population in EPS, urine and seminal fluid between the subjects with PC and benign prostatic hyperplasia (BPH) are significantly different, indicating a correlation between PC with urinary microbiota (8).

A small number of investigations regarding the relationship between hypertension and intestinal bacteria have been conducted whereas few studies focus on the effect of hypertension on prostate. A hypothesis was posited in the present study that hypertension can affect the intestinal bacteria of PC.

Use of traditional culture methods does not allow for detection of many anaerobic bacteria present in various human body fluids and tissues (9,10). The 16S rDNA-based polymerase chain reaction (PCR) is more sensitive than the traditional PCR, depending on microbial culture techniques (11,12). Bacterial species are identified by generating clone libraries of the 16S rDNA followed by sequencing and comparison with databases containing thousands of ribosomal sequences (13,14). This method has previously utilized by researchers to evaluate bacterial 16S rDNA sequences in prostatic tissue from patients with PC (1517).

The aim of the present study was to compare the bacterial composition in the biopsy of PC patients in PSA grey-zone with hypertension with that of the patients without hypertension by PCR-denaturing gradient gel electrophoresis (DGGE) with 16S rDNA methods.

Materials and methods

Sample collection

Four biopsy samples were collected from male patients diagnosed with PC in the First Affiliated Hospital of Medical School of Zhejiang University (Zhejiang, China). An ultrasound-guided instrument was used to obtain transperineal prostate biopsies. All the patients included in the study were under the age of 65 and the tPSA levels were 4–10 ng/ml. Four samples were selected from 37 patients and divided into two groups: i) patients with PC (with and without hypertension); and ii) patients with BPH (with and without hypertension). The prostate biopsy samples were placed in sterile centrifuge tubes and stored at −80°C prior to use.

Procedures performed in studies involving human participants were in accordance with the Ethical Standards of the Institutional and/or National Research Committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

DNA extraction

Total genomic DNA was isolated from the biopsy samples according to the instructions of the QIAamp® DNA mini kit (Qiagen, Hilden, Germany). The extracted DNA was packed into three tubes to avoid multi-gelation and stored at −20°C.

PCR amplification

Each DNA sample used in this study was first amplified with universal bacterial primers. The forward primer 341 (5′-GTATTACCGCGGCTGCTGG-3′) containing a 40-bp GC clamp (5′-CGCCCGCCGCGCGCGGCGGGCGGGGCGGGGGCACGGGGGG-3′) and the reverse primer 534 (5′-ACTCCTACGGGAGGCAGCAG-3′) resulted in fragments of approximately 200 bp to test the quality of the template and to exlude the presence of PCR inhibitors. The GC clamp increased the sensitivity of the DGGE analysis (18). The total PCR reaction volume was 50 µl. The PCR mixture comprised 1 µl of Bestar Taq DNA polymerase (2.5 U/µl), 5 µl of deoxynucleoside triphosphates (dNTPs, 2 mM each), 5 µl of 10X Bestar Taq buffer (all from DBI Bioscience, Shanghai, China), 1 µl of each primer (10 µM; Sangon, Shanghai, China) and 2 µl of extracted bacterial DNA (~60 ng). The thermal cycling program was set at 94°C for 5 min, with 35 cycles of touchdown PCR denaturation at 94°C for 30 sec, annealing at 60°C for 30 sec, and 72°C extension for 30 sec and a final extension at 72°C for 5 min, prior to incubation at 4°C.

PCR products were tested by electrophoresis on 1.0% (w/v) agarose gel. Electrophoresis was performed at 100 V for 20 min with 1X TAE buffer, and visualized by ethidium bromide staining using a gel imaging system (JS-780; Pei Qing Technology Co., Ltd., Shanghai, China). PCR products were stored at −20°C prior to DGGE electrophoresis.

DGGE electrophoresis

DNA fragments with different sequences were separated in 8% polyacrylamide (acrylamide: bisacrylamide = 37.5:1; w/v) gels in 1X TAE buffer with 200 ng of each PCR product. A denaturing gradient of 40–60% was applied in the DGGE electrophoresis, formed with deionized formamide and urea. Gels were electrophorised in 1X TAE buffer at 60°C and 200 V for 3.5 h. Subsequently, the gels were washed with ultrapure water and stained with 5% GoldView™ dye for 30 min and photographed. DGGE graphs were digitized by Quantity One Analysis software (Gene Genius; Syngene, Frederick, MD, USA).

DGGE band sequencing

Selected DGGE bands (2 and 4) were cut with a sterile surgical blade under UV and purified with DNA Gel Extraction kit (SK1135; Sangon). Purified DNA was then amplified again with the primers described earlier. PCR products were ligated into the pUCm-T vector and transformed into competent E. coli DH5α cells (both from Sangon). Recombinant cells were selected and inoculated into the fluid medium that was loaded with antibiotic ampicillin and were cultured overnight at 37°C. Subsequently, bacteria were collected and DNA with the plasmid was extracted using a UNIQ-10 column kit (Sangon) as per the manufacturer's protocol. Clones that migrated to the same position as the original DGGE bands were sequenced (Sangon).

Obtained sequences were searched online based on the NCBI GenBank database (http://www.ncbi.nlm.nih.gov) BLAST to identify the closest relative for the partial 16S rRNA gene. The same sequences were identified when the similarity of the sequence was >97%. Based on the BLAST results, reference sequences of phylogenetic neighbor species (up to 97% similarity) were included for construction of the phylogenetic tree using the MEGA 5 software package, ver. 5.05, according to the method of neighbor-joining based on evolutionary distances. The consistency of the tree was validated by bootstrapping (n=1,000).

Results

PCR efficiency detection

Patient characteristics are provided in Table I. PSA analysis was performed before prostate biopsy. The total DNA of each biopsy tissue was successfully extracted and the amplified fragments of PCR were ~230 bp (Fig. 1). Based on the results obtained, it is evident that 16s RNA gene fragments of bacteria in the specimens had good amplification efficiency.

Table I.

Characteristics of patients with PC groups.

Table I.

Characteristics of patients with PC groups.

GroupNumberPSA (T/F)DiagnosisRemarks
PC  7   9.47/1.425PCNone
167.035/0.309PCHypertension
BPH285.14/0.69BPHHypertension
467.29/0.63BPHNone

[i] PC, prostate cancer; BPH, benign prostatic hyperplasia.

DGGE analysis and sequencing results

DGGE fingerprinting with primer pair F341-GC and R534, amplified the total microbial community. The results were presented with separated bands of different DNA sequences (Fig. 2) and there were 14 discernible bands. According to the DGGE profile, band 2 and 4 were selected for sequencing since there was obvious difference between the hypertension and non-hypertension groups. The two bands were amplified again and the lengths of fragments were ~180 bp. The amplification results are shown in Fig. 3. Sequences of selected bands 2 and 4 both matched that of Sphingomonas (Fig. 4). The result showed that presence of Sphingomonas was less in PC patients without hypertension compared with PC patients with hypertension.

Discussion

At present, many microorganisms cannot be cultivated under the most refined conditions (19), and most bacteria in existence do not multiply on conventional media according to environmental studies (2022). Due to difficult cloning or the lack of a cloning technique and sequencing of 16S products, very few 16S sequences from prostate tissue of PC patients have been reported. Species belonging to the bacterial family Enterobacteriaceae (and specifically sequences related to E. coli) appear to be the most commonly detected organism at present (23).

The advent of molecular-based methods for identifying and characterizing microorganisms has led to a new era of microbial discovery. The 16S rDNA-based techniques have been proven to be more substantially sensitive and accurate than traditional techniques that depend on microbial culture (11,12). Several studies have evaluated the presence of multiple and diverse bacterial 16S rDNA sequences in prostate biopsy tissue from BPH and PC patients (15,2426). In the present study, we used PCR-DGGE with 16S rDNA finger printing analysis to investigate bacterial composition in the biopsy of PC patients in the PSA grey-zone with or without hypertension.

Comprehending the composition and richness of the microbial ecosystem in the prostate biopsy tissue which is related to prostate health is essential for understanding the cause of prostate diseases, as well as for determining its prevention and treatment. Exploring the effect of hypertension on the prostate patients and detection of bacteria in prostate tissue may be useful to make an important step in determining the etiology of these syndromes (27).

According to a statistical analysis based on the clinical data and the PCR-DGGE profiles, the structure of the bacterial community differed in the PC group. Two bands were identified as the key variable factors for the discrepancy of BPH and PC patients. This proved that the Sphingomonas were greater in BPH than PC. The Sphingomonas is a group of gram-negative bacteria that belongs to the Alphaproteobacteria which is one of the most common strains involved in urinary tract infection. It is likely that bacteria in the male reproductive tract and urethra may approach prostate tissue, thus its analysis may more likely reflect shift in the type of bacterial presence in the prostate with different diseases. We found that Sphingomonas in PC patients with hypertension was greater than that in PC patients without hypertension, and there was no difference between BPH and PC with hypertension. Therefore, hypertension has become a factor that affects diagnosis of PC in grey-zone.

The sequencing results showed that particular types of bacteria exist in the prostate biopsy tissue and these bacteria were not usually detected in other parts of the human body. We can predict that the ecological balance of microenvironment in the prostate biopsy tissue may be important in the manifestation of BPH and PC. More studies should be performed to detect any opportunistic, pathogenic bacteria in BPH and PC, to investigate the potential molecular and cellular mechanisms underpinning the protective effect of the commensal bacterial and the destructive mechanism of the pathogenic bacteria.

In addition, common diseases such as hypertension should be considered in the diagnosis in order to increase accuracy in the future. Such studies should include many more patients with BPH and PC with other comorbidity. Bacterial composition from BPH and PC biopsy tissues may provide further confidence in a broad-spectrum PCR approach due to its efficiency and less time-consumption.

In conclusion, Sphingomonas was present in lower amounts in PC without hypertension when compared to PC with hypertension. The result may be significant for revealing the relationship between hypertension with PC.

Acknowledgements

The present study was funded by a grant from the Medicine and Health Science and Technology Plan Projects of Zhejiang Province (2012RCA022).

References

1 

Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh JW, Comber H, Forman D and Bray F: Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer. 49:1374–1403. 2013. View Article : Google Scholar : PubMed/NCBI

2 

National Cancer Institute: What you need to know about TM prostate cancer. http://www.cancer.gov/cancertopicsAccessed. September 25–2014

3 

Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, et al: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 380:2224–2260. 2012. View Article : Google Scholar : PubMed/NCBI

4 

Kyrou I, Chrousos GP and Tsigos C: Stress, visceral obesity, and metabolic complications. Ann N Y Acad Sci. 1083:77–110. 2006. View Article : Google Scholar : PubMed/NCBI

5 

Beebe-Dimmer JL, Dunn RL, Sarma AV, Montie JE and Cooney KA: Features of the metabolic syndrome and prostate cancer in African-American men. Cancer. 109:875–881. 2007. View Article : Google Scholar : PubMed/NCBI

6 

Han JH, Choi NY, Bang SH, Kwon OJ, Jin YW, Myung SC, Chang IH, Kim TH and Ahn SH: Relationship between serum prostate-specific antigen levels and components of metabolic syndrome in healthy men. Urology. 72:749–754; discussion 754–755. 2008. View Article : Google Scholar : PubMed/NCBI

7 

Takeshita K, Takahashi S, Tang M, Seeni A, Asamoto M and Shirai T: Hypertension is positively associated with prostate cancer development in the TRAP transgenic rat model. Pathol Int. 61:202–209. 2011. View Article : Google Scholar : PubMed/NCBI

8 

Yu H, Meng H, Zhou F, Ni X, Shen S and Das UN: Urinary microbiota in patients with prostate cancer and benign prostatic hyperplasia. Arch Med Sci. 11:385–394. 2015. View Article : Google Scholar : PubMed/NCBI

9 

Handschur M, Pinar G, Gallist B, Lubitz W and Haslberger AG: Culture free DGGE and cloning based monitoring of changes in bacterial communities of salad due to processing. Food Chem Toxicol. 43:1595–1605. 2005. View Article : Google Scholar : PubMed/NCBI

10 

Vartoukian SR, Palmer RM and Wade WG: Strategies for culture of ‘unculturable’ bacteria. FEMS Microbiol Lett. 309:1–7. 2010.PubMed/NCBI

11 

Clarridge JE III: Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clin Microbiol Rev. 17:840–862. 2004. View Article : Google Scholar : PubMed/NCBI

12 

Harris KA and Hartley JC: Development of broad-range 16S rDNA PCR for use in the routine diagnostic clinical microbiology service. J Med Microbiol. 52:685–691. 2003. View Article : Google Scholar : PubMed/NCBI

13 

Maidak BL, Cole JR, Parker CT Jr, Garrity GM, Larsen N, Li B, Lilburn TG, McCaughey MJ, Olsen GJ, Overbeek R, et al: A new version of the RDP (Ribosomal Database Project). Nucleic Acids Res. 27:171–173. 1999. View Article : Google Scholar : PubMed/NCBI

14 

Ranjard L, Poly F and Nazaret S: Monitoring complex bacterial communities using culture-independent molecular techniques: Application to soil environment. Res Microbiol. 151:167–177. 2000. View Article : Google Scholar : PubMed/NCBI

15 

Leskinen MJ, Rantakokko-Jalava K, Manninen R, Leppilahti M, Marttila T, Kylmälä T and Tammela TL: Negative bacterial polymerase chain reaction (PCR) findings in prostate tissue from patients with symptoms of chronic pelvic pain syndrome (CPPS) and localized prostate cancer. Prostate. 55:105–110. 2003. View Article : Google Scholar : PubMed/NCBI

16 

Liu SJ, Chen GQ, Ye HY and Wang XF: Detection and significance of 16S rDNA in the prostatic secretions of patients with chronic prostatitis. Zhonghua Nan Ke Xue. 12:413–415. 2006.(In Chinese). PubMed/NCBI

17 

Shannon BA, Cohen RJ and Garrett KL: Influence of 16S rDNA primer sequence mismatches on the spectrum of bacterial genera detected in prostate tissue by universal eubacterial PCR. Prostate. 68:1487–1491. 2008. View Article : Google Scholar : PubMed/NCBI

18 

Mahenthiralingam E, Baldwin A, Drevinek P, Vanlaere E, Vandamme P, LiPuma JJ and Dowson CG: Multilocus sequence typing breathes life into a microbial metagenome. PLoS One. 1:e172006. View Article : Google Scholar : PubMed/NCBI

19 

Amann R, Springer N, Ludwig W, Görtz HD and Schleifer KH: Identification in situ and phylogeny of uncultured bacterial endosymbionts. Nature. 351:161–164. 1991. View Article : Google Scholar : PubMed/NCBI

20 

Lane DJ, Pace B, Olsen GJ, Stahl DA, Sogin ML and Pace NR: Rapid determination of 16S ribosomal RNA sequences for phylogenetic analyses. Proc Natl Acad Sci USA. 82:6955–6959. 1985. View Article : Google Scholar : PubMed/NCBI

21 

Ward DM, Weller R and Bateson MM: 16S rRNA sequences reveal uncultured inhabitants of a well-studied thermal community. FEMS Microbiol Rev. 6:105–115. 1990. View Article : Google Scholar : PubMed/NCBI

22 

Wilson KH: Detection of culture-resistant bacterial pathogens by amplification and sequencing of ribosomal DNA. Clin Infect Dis. 18:958–962. 1994. View Article : Google Scholar : PubMed/NCBI

23 

Sfanos KS, Sauvageot J, Fedor HL, Dick JD, De Marzo AM and Isaacs WB: A molecular analysis of prokaryotic and viral DNA sequences in prostate tissue from patients with prostate cancer indicates the presence of multiple and diverse microorganisms. Prostate. 68:306–320. 2008. View Article : Google Scholar : PubMed/NCBI

24 

Hochreiter WW, Duncan JL and Schaeffer AJ: Evaluation of the bacterial flora of the prostate using a 16S rRNA gene based polymerase chain reaction. J Urol. 163:127–130. 2000. View Article : Google Scholar : PubMed/NCBI

25 

Keay S, Zhang CO, Baldwin BR and Alexander RB: Polymerase chain reaction amplification of bacterial 16s rRNA genes in prostate biopsies from men without chronic prostatitis. Urology. 53:487–491. 1999. View Article : Google Scholar : PubMed/NCBI

26 

Krieger JN, Riley DE, Vesella RL, Miner DC, Ross SO and Lange PH: Bacterial DNA sequences in prostate tissue from patients with prostate cancer and chronic prostatitis. J Urol. 164:1221–1228. 2000. View Article : Google Scholar : PubMed/NCBI

27 

Krieger JN, Riley DE, Roberts MC and Berger RE: Prokaryotic DNA sequences in patients with chronic idiopathic prostatitis. J Clin Microbiol. 34:3120–3128. 1996.PubMed/NCBI

Related Articles

Journal Cover

June-2016
Volume 4 Issue 6

Print ISSN: 2049-9434
Online ISSN:2049-9442

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Ni X, Meng H, Zhou F, Yu H, Xiang J and Shen S: Effect of hypertension on bacteria composition of prostate biopsy in patients with benign prostatic hyperplasia and prostate cancer in PSA grey-zone. Biomed Rep 4: 765-769, 2016
APA
Ni, X., Meng, H., Zhou, F., Yu, H., Xiang, J., & Shen, S. (2016). Effect of hypertension on bacteria composition of prostate biopsy in patients with benign prostatic hyperplasia and prostate cancer in PSA grey-zone. Biomedical Reports, 4, 765-769. https://doi.org/10.3892/br.2016.655
MLA
Ni, X., Meng, H., Zhou, F., Yu, H., Xiang, J., Shen, S."Effect of hypertension on bacteria composition of prostate biopsy in patients with benign prostatic hyperplasia and prostate cancer in PSA grey-zone". Biomedical Reports 4.6 (2016): 765-769.
Chicago
Ni, X., Meng, H., Zhou, F., Yu, H., Xiang, J., Shen, S."Effect of hypertension on bacteria composition of prostate biopsy in patients with benign prostatic hyperplasia and prostate cancer in PSA grey-zone". Biomedical Reports 4, no. 6 (2016): 765-769. https://doi.org/10.3892/br.2016.655