OR Oncology Reports 1021-335X 1791-2431 D.A. Spandidos 10.3892/or.2019.7002 or-41-04-2491 Articles Association of CCL2, CCR2 and CCL5 genetic polymorphisms with the development and progression of benign prostatic hyperplasia PangYangyang 1 2 * LiHaoran 3 * GongYuwen 1 * JingSuoshi 1 PengCheng 1 LiuWei 1 ZhaoYouli 1 WangHanzhang 4 KaushikDharam 4 RodriguezRonald 4 WangZhiping 1 Institute of Urology, Lanzhou University Second Hospital, Key Laboratory of Urological Diseases in Gansu Province, Gansu Nephro-Urological Clinical Center, Lanzhou, Gansu 730030, P.R. China Department of Urology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai 201800, P.R. China Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA Correspondence to: Professor Zhiping Wang, Institute of Urology, Lanzhou University Second Hospital, 82 Cuiying Gate, Lanzhou, Gansu 730030, P.R. China, E-mail: erywzp@lzu.edu.cn

Contributed equally

 042019 06022019 41 4 2491 2501 12082018 25012019 Copyright © 2019, Spandidos Publications 2019

Benign prostatic hyperplasia (BPH) is a common chronic disease in older males. The pathogenesis of BPH remains elusive but may be associated with chronic inflammation. Chemokines and chemokine receptors have been implicated as critical mediators in the immune response and inflammatory processes. In the present study, the aim was to evaluate the association of three polymorphisms in chemokine genes, namely C-C motif chemokine ligand (CCL)2 rs1024611, CC chemokine receptor 2 (CCR2) rs1799864 and CCL5 rs2107538, with BPH risk. These polymorphisms were genotyped in 109 patients with BPH and 160 control subjects, using the polymerase chain reaction and multiple ligase detection reaction method. The CCL5 rs2107538 polymorphism was identified to be associated with a significantly lower risk of BPH [A/G vs. G/G: Odds ratio (OR)=0.37, 95% confidence interval (CI)=0.17–0.78; A/A + A/G vs. G/G: OR=0.39, 95% CI=0.19–0.79; A vs. G: OR=0.58, 95% CI=0.35–0.96). However, this polymorphism was also associated with the development of larger prostate volumes in patients with BPH (A/G vs. G/G: OR=3.02, 95% CI=1.28–7.11; AA + AG vs. GG: OR=2.83, 95% CI=1.28–6.26; A vs. G: OR=1.94, 95% CI=1.08–3.49). The CCR2 rs1799864 polymorphism was associated with lower International Prostate Symptom Score values (A/A + A/G vs. G/G: OR=0.39, 95% CI=0.17–0.91; A vs. G: OR=0.43, 95% CI=0.20–0.90) and low Qmax (A/G vs. G/G: OR=0.38, 95% CI=0.16–0.92; AA + AG vs. GG: OR=0.39, 95% CI=0.17–0.91) in the patients. No association was observed between the CCL2 rs1024611 polymorphism and BPH. These results suggest that the CCR2 and CCL5 genes may contribute to the occurrence and progression of BPH.

 benign prostatic hyperplasia CCL2 CCR2 CCL5 polymorphism Introduction

Benign prostatic hyperplasia (BPH) is a condition comprising a series of lower urinary tract symptoms caused by the non-malignant enlargement of the prostate gland, which is a common condition in older men (1). The proportion of men older than 50 years with BPH increases with age, with an incidence of >50% in men aged 60–69 years and 90% in those aged 70–89 years (2). However, the etiology of BPH remains unclear. Certain studies have suggested a possible role of chronic inflammation in the pathogenesis and progression of BPH (3). A number of studies have sought the association between chronic inflammation and BPH, speculating that BPH is an immune-mediated inflammatory disease (4–6). Prostate inflammation involves a complex network of cytokines and inflammatory mediators. This network leads to the sustained mitogenic stimulation of epithelial and stromal cells, eventually resulting in BPH (6).

Chemokines are chemotactic cytokines produced in activated innate immune cells, and are potent inducers of leukocytes, including neutrophils and monocytes, acting as mediators in acute and chronic inflammation. Through interaction with their receptors, chemokines regulate the directional movement of various immune cells in tissues and organs so as to maintain the homeostasis of the local microenvironment (7). C-C motif chemokine ligand (CCL2), also known as monocyte chemoattractant protein 1, is a member of the CC chemokine family and regulates the accumulation of monocytes, macrophages and other inflammatory cells at sites of inflammation by binding with CC chemokine receptor 2 (CCR2) (8). CCL5, also known as regulated upon activation, normally T-expressed, and presumably secreted, is another cytokine that belongs to the CC chemokine family. CCL5 is chemotactic for T cells, eosinophils and basophils, and serves an active role in the recruitment of leukocytes to inflammatory sites (9). Prostate epithelial and stromal cells are able to secrete high levels of CCL2 and CCL5 in response to inflammatory stimulation. By binding with their receptors, they can stimulate the growth of epithelial cells through paracrine or autocrine pathways (10). Increased concentrations of CCL2 and CCL5, and the increased production of proinflammatory cytokines, such as interleukin (IL)6 and IL8, in the prostate gland, may further lead to the accumulation of inflammatory cells, resulting in a positive feedback loop that induces BPH (10).

A number of studies have investigated the association between single nucleotide polymorphisms (SNPs) in chemokines and their receptors, and prostate cancer (11–14). However, few studies have assessed the association of chemokines and their receptors with BPH risk. Therefore, in the present study, three common functional polymorphisms (CCL2 rs1024611, CCR2 rs1799864 and CCL5 rs2107538) were selected and their associations with the development and progression of BPH were investigated.

 Materials and methods <sec> <title>Study subjects

A total of 269 subjects were enrolled in the present study between January 2014 and December 2015. These subjects comprised 109 patients with BPH and 160 healthy males as controls. The patients were diagnosed with BPH by at least two attending physicians in the Department of Urology, Lanzhou University Second Hospital (Lanzhou, China) according to their clinical features. For all patients, lower urinary tract symptoms were quantified using the International Prostate Symptom Score (IPSS), IPSS-quality of life (QOL) score and Overactive Bladder Symptom Score (OABSS) (15,16). The serum prostate-specific antigen (PSA) level was determined by ELISA in each subject. Patients with serum PSA levels ≥4 ng/ml were further tested to exclude prostate cancer by digital rectal examination and transrectal ultrasound-guided prostate biopsy. The peak urinary flow rate (Qmax) and the voided volumes were measured for all patients using an uroflowmetry system (ZNC 961A; Yongxin Medical Equipment Co., Ltd., Jiangsu, China). The prostate volumes (PVs) of the patients were calculated using transrectal ultrasonography and the post-void residual volumes were measured by transabdominal ultrasonography. Subjects with a history of urinary tract infection, prostate cancer, neurogenic bladder dysfunction, acute/chronic prostatitis, uncontrolled diabetes, lower tract surgery or cardiovascular disease were excluded from the study. Based on previous studies (17,18), all the BPH cases were separated into two groups based on the measurements of each parameter: IPSS, <20 vs. ≥20; PSA, <1.5 vs. ≥1.5 ng/ml; PV, <30 vs. ≥30 ml; and Qmax, <10 vs. ≥10 ml/sec.

The healthy controls recruited in the present study were older males visiting the physician for routine checkups. They all underwent screening, had normal serum PSA levels (<4.0 ng/ml), and exhibited no evidence of any of the aforementioned diseases.

All the participants provided written informed consent prior to participation. The present study was approved by the Ethics Committee at Lanzhou University Second Hospital.

 SNP selection and genotyping

In the present study, three SNPs (CCL2 rs1024611, CCR2 rs1799864, and CCL5 rs2107538) that have previously been demonstrated to have an association with prostate cancer were selected (11–14). Peripheral venous blood samples from all participants were collected in EDTA blood collection tubes and stored at −80°C prior to the extraction of genomic DNA. Genomic DNA was extracted from the blood using the Tiangen DNA extraction kit (Tiangen Biotech Co., Ltd., Beijing, China). The SNPs were genotyped using the polymerase chain reaction (PCR) and multiple ligase detection reaction (LDR) system at Shanghai Biowing Applied Biotechnology Co., Ltd. (Shanghai, China). Based on the sequence information of chemokine genes on the NCBI website (https://www.ncbi.nlm.nih.gov/), PCR primers and LDR probes (Table I) were designed using Primer Premier version 5.0 software (Premier Biosoft International, Palo Alto, CA, USA) and synthesized by Shanghai Biowing Applied Biotechnology Co., Ltd. (Shanghai, China). PCR conditions consisted of 40 cycles at 94°C for 30 sec, 53°C for 90 sec and 65°C for 30 sec, followed by 1 cycle at 65°C for 10 min to terminate the reaction. LDR conditions consisted of 40 cycles at 94°C for 15 sec and 50°C for 25 sec. The reagent used in these methods, such as DNA polymerase and DNA ligase were supplied by Shanghai Biowing Applied Biotechnology Co., Ltd. All PCR products were analyzed for quality and concentration using 3.0% agarose gel electrophoresis. Visualization was achieved using ethidium bromide.

 Functional annotation of selected SNP

To explore the potential function of the loci identified from the study, the online tool RegulomeDB (http://www.regulomedb.org/) was used to predict the putative function of the identified SNPs (19). Furthermore, assessment of whether the loci of genes may influence their corresponding mRNA expression levels was conducted using the online GTEx database (http://www.gtexportal.org/home/).

 Statistical analysis

The genotype distributions of the SNPs in the patient and control groups were analyzed with a Chi-square test to investigate the Hardy-Weinberg equilibrium (HWE). Logistic regression models were used to estimate the main effects of the SNPs on BPH risk, assuming an additive and dominant model of inheritance, and adjusting for age as a covariable. Logistic regression analysis was also performed on the combined results of the three polymorphisms. The risk of BPH was evaluated by calculating the odds ratio (OR) and corresponding 95% confidence interval (CI). Stratified analyses were executed according to IPSS, PSA, PV and Qmax. Data obtained from the GTEx database were calculated and reported as the mean ± standard deviation. Comparisons between different genotype groups were evaluated by one-way analysis of variance followed by Tukey's multiple comparison tests. All analyses were conducted using IBM SPSS version 20.0 software (IBM Corp., Armonk, NY, USA). P<0.05 was considered to indicate a statistically significant difference.

 Results <sec> <title>Clinical characteristics of the study subjects

The clinical characteristics of the 109 cases and 160 controls are presented in Table II. The mean age of the patients (65.62±8.20 years) was higher compared with that of the controls (54.51±3.87 years), and the association tests were adjusted accordingly.

 HWE test

The genotype distributions of the SNPs in the disease and control groups were evaluated, and the results revealed good conformity to the HWE for all the SNPs (P>0.05). Therefore, the study population included in the present study is a typical Mendelian population (Table III).

 Genetic association with BPH risk

The genotype distributions of the three studied genetic polymorphisms in the BPH and control groups are presented in Fig. 1. The specific associations between the SNPs and BPH risk were calculated (Table IV). The G/G, G/A and A/A genotype frequencies of the CCL5 rs2107538 polymorphism were 47.7, 39.5 and 12.8%, respectively, in the patients, and 31.2, 54.4 and 14.4%, respectively, in the controls. The allele frequencies of the patient and control groups were 67.4 and 58.4% for the G allele, and 32.6 and 41.6% for the A allele, respectively. The CCL5 rs2107538 polymorphism exhibited a significant association with a decreased risk of BPH in the heterozygous (OR=0.37, 95% CI=0.17–0.78), dominant (OR=0.39, 95% CI=0.19–0.79) and allelic form (OR=0.58, 95% CI=0.35–0.96). However, no significant differences in the genotype or allele distributions for the CCL2 rs1024611 and CCR2 rs1799864 polymorphisms were observed between the patients and controls.

Furthermore, all possible interactions of CCL5 rs2107538 with CCL2 rs1024611 and CCR2 rs1799864 gene polymorphisms were investigated. The combined genotype G/A-A/G of CCL5 rs2107538 and CCL2 rs1024611 exhibited a decreased risk of BPH. However, an increased risk of BPH was implied for the G/G-G/G combination of these polymorphisms (Table V). The combined genotype G/A-G/G of CCL5 rs2107538 and CCR2 rs1799864 was also associated with a lower risk for BPH (Table VI). These results suggest that the interaction between the CCL5 rs2107538 and CCR2 rs1799864 polymorphisms may give rise to a synergistic effect.

 Genetic association with clinicopathological characteristics

The associations between the three SNPs and the clinicopathological characteristics (IPSS, PSA, PV and Qmax) of the patients with BPH were investigated. The results indicated that CCR2 rs1799864 was significantly associated with IPSS, with a decreasing risk of high IPSS progression in the dominant (OR=0.39, 95% CI=0.17–0.91) and the allelic forms (OR=0.43, 95% CI=0.20–0.90) (Table VII).

A significant association was detected between CCL5 rs2107538 and PV, as demonstrated in Table VIII, reflecting an increasing effect on the risk of large PV progression in the heterozygous (OR=3.02, 95% CI=1.28–7.11) and dominant model (OR=2.83, 95% CI=1.28–6.26). The allele frequency analysis confirmed that CCL5 rs2107538 was associated with PV (OR=1.94, 95% CI=1.08–3.49). Furthermore, a significant association between CCR2 rs1799864 and Qmax (≥10 vs. <10 ml/sec) was identified. Table IX demonstrates that CCR2 rs1799864 exhibited a decreasing risk of low Qmax progression in the heterozygous (OR=0.38, 95% CI=0.16–0.92) and dominant model (OR=0.39, 95% CI=0.17–0.91). However, no association was detected between the SNPs and PSA (Table X).

 Functional prediction of genetic variants of CCL2, CCR2 and CCL5

To investigate the role of the CCL2 rs1024611, CCR2 rs1799864 and CCL5 rs2107538 polymorphisms in the regulation of gene expression, a search of the GTEx database for data on mRNA expression was conducted (Fig. 2). For CCL5 rs2107538, the mRNA expression levels were downregulated following the G>A conversion in whole blood cells (P<0.001, Fig. 2C), but were not changed in prostate tissue (P=0.20; data not shown). The CCL2 rs1024611 A>G and CCR2 rs1799864 G>A changes had no impact on gene expression in whole blood cells (P=0.16, Fig. 2A; and P=0.59, Fig. 2B, respectively) or prostate tissues (P=0.42 and P=0.12, respectively; data not shown). These results suggest that the downregulation of mRNA expression by CCL5 rs2107538 is possibly part of the molecular mechanism underlying its protective effects against BPH. Subsequently, using the RegulomeDB database, CCL5 rs2107538 was predicted to have the ability to influence the activity of transcription factor binding sites in its promoter region. This SNP was revealed to be on a binding site for GATA binding protein 2 (GATA2), and therefore may regulate the transcriptional activity of CCL5. This further explains the underlying mechanism for the downregulation of CCL5.

 Discussion

In the present study, three common functional polymorphisms (CCL2 rs1024611, CCR2 rs1799864 and CCL5 rs2107538) were selected and their association with the risk of BPH development and progression was explored.

The CCL2 rs1024611 polymorphic site is located in the promoter region of the CCL2 gene, where an A>G substitution can lead to the upregulation of its expression in vivo (20). This polymorphism has been reported to participate in various diseases, such as breast cancer (7), IgA nephropathy (8) and psoriasis vulgaris (21). The association between the CCL2 rs1024611 polymorphism and prostate cancer risk has been examined in several studies, but none have been able to demonstrate a significant link (11,13,14). The data analysis in the present study also demonstrated no association between CCL2 rs1024611 polymorphism and BPH susceptibility and progression, either in the genotype or the allelic form.

The CCR2 rs1799864 polymorphism is a non-synonymous mutation in exon 2, resulting in substitution of the amino acid valine with isoleucine at position 64 (22). Previous studies have reported that this genetic variation is a risk factor for psoriasis vulgaris (21), ischemic stroke (23) and carotid atherosclerosis (24). However, in the present analysis, the polymorphism rs1799864 in CCR2 was not associated with BPH susceptibility in either the genotype or the allelic form, in agreement with the study by Singh et al (25). However, it was significantly associated with IPSS and Qmax. These results suggest that the polymorphism may be associated with the severity of symptoms, rather than the development of BPH per se. In particular, the frequency of the minor allele of CCR2 rs1799864 was significantly lower in patients with high IPSS than in those with low IPSS. In addition, the G/A genotype frequency was significantly lower in BPH patients with low Qmax. This result suggests that patients with the A allele or G/A genotype of CCR2 rs1799864 may not manifest severe symptoms, either because the BPH is less severe or the sensitivity is less pronounced. A previous study reported that CCR2 was abundantly expressed in normal prostate tissue, and that the expression of CCR2 was elevated in the prostates of patients with BPH (26). A possible explanation of the present findings is that the CCR2 rs1799864 polymorphism may interfere with certain factors related to BPH progression. It may be hypothesized that CCR2 is overexpressed in BPH, but the expression level may be lower in patients with the A allele or G/A genotype of CCR2 rs1799864. Similarly, a previous study has demonstrated that individuals carrying the heterozygous (G/A) or homozygous (A/A) genotypes and the A allele of the CCR2 rs1799864 polymorphism appear to have a lower risk of cervical lesions, reflecting a protective effect against the development of cervical lesions and the susceptibility to HPV 16 infection (27).

The CCL5 rs2107538 polymorphism has been confirmed in the promoter region of the gene and is able to alter transcriptional activity and subsequent gene expression in human cell lines (28). Numerous studies have investigated the role of the CCL5 rs2107538 polymorphism in various diseases. Areeshi et al (29) performed a meta-analysis to evaluate the association between the polymorphism and tuberculosis susceptibility, and identified a significant link with increased risk of tuberculosis. In the study by Sáenz-López et al (11), the G/A + A/A genotype of CCL5 rs2107538 was reported to be significantly associated with an increased risk of prostate cancer. By contrast, a case-control study by Kidd et al (30) suggested that the inheritance of CCL5 rs2107538 (AA, GA + AA) was linked with a lower risk of prostate cancer. However, to the best of our knowledge, no study has been performed on the association between the CCL5 rs2107538 SNP and BPH risk. In the present study, this polymorphism was revealed to be significantly associated with BPH risk in the heterozygous, dominant and allele models. Subjects with the A allele and heterozygous G/A genotype exhibited 0.58- and 0.37-fold lower risks of developing BPH in comparison with subjects with the wild-type G allele and homozygous G/G genotype, respectively. In the stratification analysis, it was further observed that the frequency of the minor allele A and heterozygous G/A genotype of CCL5 rs2107538 was significantly higher in the BPH patients with a large PV than in those with a small PV. These results suggest that the CCL5 rs2107538 SNP may be a marker for protection against the occurrence of BPH and a risk factor for severe progression. The observed protective effects of CCL5 rs2107538 may be due to decreased transcriptional levels, decreased protein levels and, ultimately, decreased pro-inflammatory function. An analysis of the GTEx database further revealed that the mRNA expression levels were downregulated for CCL5 rs2107538 following the G>A change in whole blood cells. Results from RegulomeDB database predicted that CCL5 rs2107538 may have the ability to influence the activity of transcription factor binding sites in its promoter region. Subsequently, we identified a binding site for GATA2, which belongs to the GATA family of nuclear regulatory proteins, and is a lineage marker serving an essential regulatory role in the development of hematopoietic (31) and genitourinary systems (32). GATA2 is overexpressed in prostate cancer (33), and is particularly upregulated in metastatic prostate cancer tissues (34). The underlying mechanism of the CCL5 rs2107538 on mRNA expression levels is possibly due to a change in the binding affinity for GATA2.

In the study by Zhernakova et al (35), this SNP was observed to correlate with a reduction in serum protein levels in patients with type 1 diabetes and controls. The findings of the present study on the protective effect of this SNP against BPH are consistent with other published reports that reveal a reduced risk of prostate cancer (30), type 1 diabetes (35) and lymphoma (36). In addition, we hypothesize that, although CCL5 may be downregulated in BPH, the level may be higher in patients with CCL5 rs2107538 genotypes A or G/A.

Although no association of the CCL2 rs1024611 and CCR2 rs1799864 polymorphisms with BPH was observed, the joint analysis indicated that the combined occurrence of genotypes G/A-A/G of CCL5 rs2107538 and CCL2 rs1024611, and G/A-G/G of CCL5 rs2107538 and CCR2 rs1799864 were ‘protective’ against the occurrence of BPH. However, the G/G genotype of CCL2 rs1024611 may be a risk factor of BPH when combined with the G/G genotype of CCL5 rs2107538. These joint results revealed possible associations between these three genes in the risk of BPH.

The major limitation of the present study is the small sample size used for comparison. Furthermore, the functional role of CCL2 rs1024611, CCR2 rs1799864 and CCL5 rs2107538 in BPH development and progression remains poorly understood. However, to the best of our knowledge, this is the first report on the association of the CCL2 rs1024611 and CCL5 rs2107538 polymorphisms with BPH. The results revealed significant associations between the CCR2 rs1988864 and CCL5 rs2107538 polymorphisms and the development and progression of BPH. Further studies with larger sample sizes from various populations are required to elucidate the role of these polymorphisms. Knowledge of these genetic variants may be important for the development of novel treatments for BPH and improvement of the quality of life of patients with this condition.

In conclusion, the present study suggests that the CCL5 rs2107538 polymorphism may be a protective factor against the occurrence of BPH. However, subgroup analysis revealed that the CCL5 rs2107538 polymorphism may increase the risk of developing a larger PV in patients with BPH. The CCR2 rs1799864 polymorphism was revealed as a protective factor against high IPSS and low Qmax. No association was observed between the CCL2 rs1024611 polymorphism and BPH. These results suggest that CCR2 and CCL5 serve a role in BPH development and progression.

 Acknowledgments

The authors would like to express their deepest gratitude to all the people who contributed to this paper.

 Funding

The present study was funded by the National Natural Science Foundation of China (81672519), the Doctoral Supervisor Research Foundation of Lanzhou University Second Hospital (bdkyjj-01) and the Fundamental Research Funds for the Central Universities (lzujbky-2018-kb14).

 Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

 Authors' contributions

YP, YG and HL were involved in conceptualization, methodology, formal analysis and investigations, writing the original draft of the manuscript and project administration. SJ, CP and WL conducted the formal analysis and investigations, data curation and project administration. YZ and HW conducted investigations and data curation. DK and RR contributed to the conceptualization, writing, reviewing and editing of the manuscript. ZW was involved in conceptualization, methodology and validation, as well as writing, reviewing and editing the manuscript, supervision and project administration. All authors read and approved the final manuscript.

 Ethics approval and consent to participate

All participants provided signed informed consent for the donation of their data for clinical research. The study was conducted in accordance with the Declaration of Helsinki, and was approved by the Ethics Committee at Lanzhou University Second Hospital.

 Patient consent for publication

Consent for publication was obtained from all patients.

 Competing interests

The authors declare that they have no competing interests.

 Abbreviations BPH

benign prostatic hyperplasia

 CCL2

C-C motif chemokine ligand 2

 CCR2

C-C motif chemokine receptor 2

 CCL5

C-C motif chemokine ligand 5

 SNP

single nucleotide polymorphism

 OABSS

Overactive Bladder Symptom Score

 IPSS

International Prostate Symptom Score

 PSA

prostate specific antigen

 QOL

quality of life

 Qmax

peak urinary flow rate

 VV

voided volume

 PV

prostate volume

 PVR

post-void residual volume

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Genotype distributions of three single nucleotide polymorphisms in patients with BPH and healthy controls. BPH, benign prostatic hyperplasia; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; Homo Ref, homozygous reference; Het, heterozygous; Homo Alt, homozygous alteration.

Roles of CCL2 rs1024611, CCR2 rs1799864 and CCL5 rs2107538 polymorphisms in the regulation of gene expression (GTEx database information for whole blood samples). (A) The CCL2 rs1024611 A>G change and (B) the CCR2 rs1799864 G>A change had no impact on gene expression. (C) The CCL5 rs2107538 G>A change downregulates the expression of CCL5 mRNA. CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor.

Primer and probe sequences used in PCR-LDR.

A, Primer sequences
SNP Primer Primer sequence (5′-3′) PCR length (bp)
CCL2 rs1024611 Forward cagtaaacacagggaaggtg   95
Reverse tcttgacagagcagaagtgg
CCR2 rs1799864 Forward gctctactcgctggtgttc 128
Reverse agatcagagatggccaggt
CCL5 rs2107538 Forward caaggagtggcagttagga 170
Reverse tatccagaggaccctcctc
B, Probe sequences
SNP Probe Probe sequence (5′-3′) LDR length (bp)
CCL2 rs1024611 Modify P-tcactttccagaagactttcttttctttttttttttttttttttttttttttttttttttttttttttttttttttttt-FAM
C tttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttgagcagaagtgggaggcagacagctg 170
T tttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttgagcagaagtgggaggcagacagcta 172
CCR2 rs1799864 Modify P-gaccagcatgttgcccacaaaaccatttttttttttttttttttttttttttttttttttttttttttttttttttttt-FAM
A tttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttgcagtttattaagatgaggat 165
G tttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttgcagtttattaagatgaggac 167
CCL5 rs2107538 Modify P-taagatctgtaatgaataagcaggatttttttttttttttttttttttttttttttttttttttttttttttttttttt-FAM
C ttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttccttccatggatgagggaaaggagg 180
T ttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttccttccatggatgagggaaaggaga 182

PCR, polymerase chain reaction; LDR, ligase detection reaction; SNP, single nucleotide polymorphism; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; P, primer; FAM, 5-carboxyfluorescein.

Clinical characteristics of all subjects.

Characteristics Cases Controls
No. of subjects 109 160
Age (years) 65.62±8.20 54.51±3.87
IPSS 16.09±8.15 N/A
  0–19 70 (64.2) N/A
  ≥20 39 (35.8) N/A
PSA (ng/ml) 2.46±2.82 N/A
  <1.5 52 (47.7) N/A
  ≥1.5 57 (52.3) N/A
PV (ml) 33.13±19.72 N/A
  <30 56 (51.4) N/A
  ≥30 53 (48.6) N/A
Qmax (ml/sec) 10.32±3.41 N/A
  <10 39 (35.8) N/A
  ≥10 70 (64.2) N/A
OABSS 4.96±3.19 N/A
QoL 4.44±0.87 N/A
VV (ml) 232.73±109.99 N/A
PVR (ml) 27.57±43.10 N/A

IPSS, International Prostate Symptom Score; PSA, prostate-specific antigen; PV, prostate volume; Qmax, peak urinary flow rate; OABSS, Overactive Bladder Symptom Score; QoL, quality of life; VV, voided volume; PVR, post-void residual volume; N/A, not applicable. Values are presented as mean ± standard deviation or as n (%).

Exact Hardy-Weinberg equilibrium test for SNPs (n=269).

SNP Genotype or allele All subjects Cases Controls
CCL2 rs1024611 A/A 56 25 31
A/G 135 44 91
G/G 78 40 38
A 247 94 153
G 291 124 167
P-value 0.9 0.078 0.11
CCR2 rs1799864 G/G 157 63 94
G/A 101 42 59
A/A 11 4 7
G 415 168 247
A 123 50 73
P-value 0.39 0.43 0.66
CCL5 rs2107538 G/G 102 52 50
G/A 130 43 87
A/A 37 14 23
G 334 147 187
A 204 71 133
P-value 0.7 0.28 0.15

SNP, single nucleotide polymorphism; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor.

Genotypes and allele frequencies of SNPs and their association with BPH risk.

SNP Genotype or allele Controls, n=160 (%) Cases, n=109 (%) Models OR (95% CI)a P-valuea
CCL2 rs1024611 A/A 31 (19.4) 25 (22.9) Heterozygous 0.46 (0.19–1.12)   0.086
A/G 91 (56.9) 44 (40.4) Homozygous 1.27 (0.49–3.28) 0.62
G/G 38 (23.8) 40 (36.7) Dominant 0.68 (0.30–1.56) 0.37
A 153 (47.8) 94 (43.1) 1
G 167 (52.2) 124 (56.9) 1.22 (0.76–1.97) 0.42
CCR2 rs1799864 G/G 94 (58.8) 63 (57.8) Heterozygous 1.11 (0.54–2.27) 0.78
G/A 59 (36.9) 42 (38.5) Homozygous 1.31 (0.28–6.11) 0.73
A/A 7 (4.4) 4 (3.7) Dominant 1.13 (0.57–2.25) 0.72
G 247 (77.2) 168 (77.1) 1
A 73 (22.8) 50 (22.9) 1.12 (0.64–1.98) 0.69
CCL5 rs2107538 G/G 50 (31.2) 52 (47.7) Heterozygous 0.37 (0.17–0.78) 0.01
G/A 87 (54.4) 43 (39.5) Homozygous 0.47 (0.16–1.35) 0.16
A/A 23 (14.4) 14 (12.8) Dominant 0.39 (0.19–0.79)   0.008
G 187 (58.4) 147 (67.4) 1
A 133 (41.6) 71 (32.6) 0.58 (0.35–0.96)   0.033

SNP, single nucleotide polymorphism; BPH, benign prostatic hyperplasia; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age. Bold text indicates a statistically significant result.

Association of BPH risk with different combinations of CCL5 rs2107538 and CCL2 rs1024611 genotypes.

CCL5 rs2107538 and CCL2 rs1024611 Controls, n=160 (%) Cases, n=109 (%) OR (95% CI)a P-valuea
G/G-A/A 11 (6.9) 14 (12.8) 1
G/G-A/G 37 (23.1) 16 (14.7) 0.26 (0.07–1.01) 0.05
G/G-G/G 2 (1.2) 22 (20.2) 10.83 (1.50–78.13)   0.018
G/A-A/A 12 (7.5) 7 (6.4) 0.65 (0.12–3.53) 0.62
G/A-A/G 44 (27.5) 20 (18.3) 0.20 (0.05–0.77)   0.019
G/A-G/G 31 (19.4) 16 (14.7) 0.28 (0.07–1.11) 0.07
A/A-A/A 8 (5.0) 4 (3.7) 0.13 (0.02–1.10) 0.06
A/A-A/G 10 (6.2) 8 (7.3) 0.55 (0.11–2.83) 0.47
A/A-G/G 5 (3.1) 2 (1.8) 0.46 (0.04–5.00) 0.52

BPH, benign prostatic hyperplasia; CCL, C-C motif chemokine ligand; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age. Bold text indicates a statistically significant result.

Association of BPH risk with different combinations of CCL5 rs2107538 and CCR2 rs1799864 genotypes.

CCL5 rs2107538 and CCR2 rs1799864 Controls, n=160 (%) Cases, n=109 (%) OR (95% CI)a P-valuea
G/G-G/G 30 (18.8) 30 (27.5) 1
G/G-G/A 18 (11.2) 20 (18.3) 0.77 (0.26–2.33) 0.65
G/G-A/A 2 (1.2) 2 (1.8) 1.51 (0.11–20.36) 0.76
G/A-G/G 53 (33.1) 26 (23.9) 0.29 (0.11–0.78)   0.014
G/A-G/A 31 (19.4) 16 (14.7) 0.45 (0.15–1.37) 0.16
G/A-A/A 3 (1.9) 1 (0.9) 0.26 (0.02–3.76) 0.32
A/A-G/G 11 (6.9) 7 (6.4) 0.36 (0.08–1.56) 0.17
A/A-G/A 10 (6.2) 6 (5.5) 0.42 (0.08–2.28) 0.32
A/A-A/A 2 (1.2) 1 (0.9) 0.94 (0.07–12.16) 0.96

BPH, benign prostatic hyperplasia; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age. Bold text indicates a statistically significant result.

Genotype and allele frequencies of SNPs and their association with IPSS.

SNP Genotype or allele IPSS<20, n=70 (%) IPSS≥20, n=39 (%) Models OR (95% CI)a P-valuea
CCL2 rs1024611 A/A 14 (20) 11 (28.2) Heterozygous 0.57 (0.21–1.59) 0.29
A/G 30 (42.9) 14 (35.9) Homozygous 0.69 (0.25–1.92) 0.47
G/G 26 (37.1) 14 (35.9) Dominant 0.63 (0.25–1.56) 0.32
A 58 (41.4) 36 (46.2) 1
G 82 (58.6) 42 (53.8) 0.83 (0.47–1.45) 0.51
CCR2 rs1799864 G/G 35 (50) 28 (71.8) Heterozygous 0.44 (0.19–1.03) 0.06
G/A 31 (44.3) 11 (28.2) Homozygous 0.00 (0.00-NA) 1.00
A/A 4 (5.7) 0 (0) Dominant 0.39 (0.17–0.91)   0.026
G 101 (72.1) 67 (85.9) 1
A 39 (27.9) 11 (14.1) 0.43 (0.20–0.90)   0.024
CCL5 rs2107538 G/G 37 (52.9) 15 (38.5) Heterozygous 1.73 (0.73–4.08) 0.21
G/A 25 (35.7) 18 (46.1) Homozygous 1.79 (0.53–6.07) 0.35
A/A 8 (11.4) 6 (15.4) Dominant 1.74 (0.78–3.90) 0.17
G 99 (70.7) 48 (61.5) 1
A 41 (29.3) 30 (38.5) 1.47 (0.82–2.65) 0.20

SNP, single nucleotide polymorphism; IPSS, International Prostate Symptom Score; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age. Bold text indicates a statistically significant result.

Genotype and allele frequencies of SNPs and their association with PV.

SNP Genotype or allele PV<30 ml, n=56 (%) PV≥30 ml, n=53 (%) Models OR (95% CI)a P-valuea
CCL2 rs1024611 A/A 15 (26.8) 10 (18.9) Heterozygous 1.41 (0.51–3.89) 0.51
A/G 22 (39.3) 22 (41.5) Homozygous 1.72 (0.61–4.84) 0.31
G/G 19 (33.9) 21 (39.6) Dominant 1.55 (0.61–3.91) 0.36
A 52 (46.4) 42 (39.6) 1
G 60 (53.6) 64 (60.4) 1.36 (0.79–2.36) 0.27
CCR2 rs1799864 G/G 33 (58.9) 30 (56.6) Heterozygous 1.10 (0.50–2.45) 0.81
G/A 21 (37.5) 21 (39.6) Homozygous 1.35 (0.17–10.69) 0.78
A/A 2 (3.6) 2 (3.8) Dominant 1.12 (0.52–2.44) 0.77
G 87 (77.7) 81 (76.4) 1
A 25 (22.3) 25 (23.6) 1.11 (0.58–2.12) 0.75
CCL5 rs2107538 G/G 34 (60.7) 18 (34) Heterozygous 3.02 (1.28–7.11)   0.011
G/A 16 (28.6) 27 (50.9) Homozygous 2.31 (0.68–7.85) 0.18
A/A 6 (10.7) 8 (15.1) Dominant 2.83 (1.28–6.26)     0.0094
G 84 (75.0) 63 (59.4) 1
A 28 (25.0) 43 (40.6) 1.94 (1.08–3.49)   0.027

SNP, single nucleotide polymorphism; PV, prostate volume; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age. Bold text indicates a statistically significant result.

Genotype and allele frequencies of SNPs and their association with Qmax.

SNP Genotype or allele Qmax≥10 ml/sec, n=70 (%) Qmax<10 ml/sec, n=39 (%) Models OR (95% CI)a P-valuea
CCL2 rs1024611 A/A 18 (25.7) 7 (17.9) Heterozygous 1.87 (0.64–5.44) 0.25
A/G 25 (35.7) 19 (48.7) Homozygous 1.25 (0.42–3.79) 0.69
G/G 27 (38.6) 13 (33.3) Dominant 1.56 (0.58–4.17) 0.38
A 61 (43.6) 33 (42.4) 1
G 79 (56.4) 45 (57.6) 1.07 (0.61–1.88) 0.82
CCR2 rs1799864 G/G 35 (50) 28 (71.8) Heterozygous 0.38 (0.16–0.92)   0.031
G/A 32 (45.7) 10 (25.6) Homozygous 0.48 (0.05–4.96) 0.54
A/A 3 (4.3) 1 (2.6) Dominant 0.39 (0.17–0.91)   0.025
G 102 (72.9) 66 (84.6) 1
A 38 (27.1) 12 (15.4) 0.49 (0.24–1.02)   0.055
CCL5 rs2107538 G/G 34 (48.6) 18 (46.1) Heterozygous 0.85 (0.35–2.02) 0.71
G/A 29 (41.4) 14 (35.9) Homozygous 1.74 (0.52–5.83) 0.37
A/A 7 (10) 7 (17.9) Dominant 1.02 (0.46–2.27) 0.96
G 97 (69.3) 50 (64.1) 1
A 43 (30.7) 28 (35.9) 1.20 (0.66–2.16) 0.56

SNP, single nucleotide polymorphism; Qmax, peak urinary flow rate; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age. Bold text indicates a statistically significant result.

Genotype and allele frequencies of SNPs and their association with PSA.

SNP Genotype or allele PSA<1.5 ng/ml, n=52 (%) PSA≥1.5 ng/ml, n=57 (%) Models OR (95% CI)a P-valuea
CCL2 rs1024611 A/A 13 (25) 12 (21.1) Heterozygous 1.01 (0.37–2.75) 0.99
A/G 22 (42.3) 22 (38.6) Homozygous 1.51 (0.54–4.20) 0.43
G/G 17 (32.7) 23 (40.4) Dominant 1.22 (0.49–3.03) 0.67
A 48 (46.2) 46 (40.4) 1
G 56 (53.8) 68 (59.6) 1.30 (0.75–2.25) 0.35
CCR2 rs1799864 G/G 32 (61.5) 31 (54.4) Heterozygous 1.39 (0.62–3.10) 0.42
G/A 18 (34.6) 24 (42.1) Homozygous 1.24 (0.16–9.78) 0.84
A/A 2 (3.8) 2 (3.5) Dominant 1.38 (0.63–3.00) 0.42
G 82 (78.8) 86 (75.4) 1
A 22 (21.2) 28 (24.6) 1.26 (0.66–2.41) 0.49
CCL5 rs2107538 G/G 28 (53.9) 24 (42.1) Heterozygous 1.50 (0.65–3.45) 0.34
G/A 18 (34.6) 25 (43.9) Homozygous 1.40 (0.42–4.72) 0.58
A/A 6 (11.5) 8 (14) Dominant 1.48 (0.68–3.20) 0.32
G 74 (71.2) 73 (64.0) 1
A 30 (28.8) 41 (36.0) 1.30 (0.72–2.32) 0.38

SNP, single nucleotide polymorphism; PSA, prostate-specific antigen; CCL, C-C motif chemokine ligand; CCR, CC chemokine receptor; OR, odds ratio; CI, confidence interval.

ORs and P-values were calculated by logistic regression with adjustment for age.