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Single Nucleotide Polymorphisms in DKK3 Gene Are Associated with Prostate Cancer Risk and Progression ______

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Single Nucleotide Polymorphisms in DKK3 Gene Are Associated with Prostate Cancer Risk and Progression ______ ORIGINAL ARTICLE Vol. 41 (5): 869-897, September - October, 2015 doi: 10.1590/S1677-5538.IBJU.2014.0041 Single nucleotide polymorphisms in DKK3 gene are associated with prostate cancer risk and progression _______________________________________________ Min Su Kim 1, Ha Na Lee 2, Hae Jong Kim 3,4, Soon Chul Myung 5 1Department of Urology, Seoul Medical Center, Seoul, Korea; 2Department of Urology, Seoul Seonam Hospital, EwhaWomans University, Seoul, Korea; 3Research Institue for Biomedical and Pharmaceutical Sciences, Chung-Ang University, Seoul, Korea; 4Advanced Urogenital Diseas Research Center, Chung-Ang University, College of Medicine, Seoul, Korea; 5Department of Urology, Chung-Ang University, College of Medicine, Seoul, Korea ABSTRACT ARTICLE INFO ______________________________________________________________ ______________________ We had investigated whether sequence variants within DKK3 gene are associated with Key words: the development of prostate cancer in a Korean study cohort. We evaluated the asso- Biological Markers; Genetic ciation between 53 single nucleotide polymorphisms (SNPs) in the DKK3 gene and Variation; Prostatic Neoplasms; prostate cancer risk as well as clinical characteristics (PSA, clinical stage, pathological Polymorphism, Single Nucleotide stage and Gleason score) in Korean men (272 prostate cancer subjects and 173 benign prostate hyperplasia subjects) using unconditional logistic regression analysis. Of the Int Braz J Urol. 2015; 41: 869-97 53 SNPs and 25 common haplotypes, 5 SNPs and 4 haplotypes were associated with prostate cancer risk (P=0.02-0.04); 3 SNPs and 2 haplotypes were significantly asso- _____________________ ciated with susceptibility to prostate cancer, however 2 SNPs and 2 haplotypes exhibi- ted a significant protective effect on prostate cancer. Logistic analyses of the DKK3 gene Submitted for publication: polymorphisms with several prostate cancer related factors showed that several SNPs January 26, 2014 were significant; three SNPs and two haplotypes to PSA level, three SNPs and two ha- plotypes to clinical stage, nine SNPs and two haplotype to pathological stage, one SNP _____________________ and one haplotypes to Gleason score. To the author’s knowledge, this is the first report Accepted after revision: documenting that DKK3 polymorphisms are not only associated with prostate cancer March 06, 2014 but also related to prostate cancer-related factors. INTRODUCTION for prostate cancer are increased age, ethnic back- ground and familial history (4). Recently genome- Prostate cancer is one of the most common -wide association studies (GAWS) have identified cancers in men. Rates of detection of prostate can- more than 40 single-nucleotide polymorphisms cer vary widely across the world, with less frequent (SNPs) on various genes or chromosomal loci that detection in South and East Asia than in Europe are significantly associated with prostate cancer and especially the United States (1, 2). However susceptibility (5). There is increasing interest in the incidence rate of prostate cancer in Korea has investigating the potential usefulness of SNPs as rised rapidly during the last decade (3). The etiolo- diagnostic and prognostic biomarkers for prostate gy of prostate cancer is largely unknown, althou- cancer outcomes (6, 7). gh several risk factors such as diet, occupation, The wingless-type mouse mammary tumor sexually transmitted agents were investigated epi- virus integration site (Wnt) signaling pathway des- demiologically; the only established risk factors cribes a complex network of proteins well known 869 IBJU | POLYMORPHISMS IN DKK3 GENE AND PROSTATE CANCER RISK AND PROGRESSION for their roles in embryogenesis and tumorigene- subjects with primary, incident, histologically sis (8). Uncontrolled Wnt signaling has been re- confirmed prostate cancer were recruited within 6 cognized as an important trait of human cancer months of diagnosis. The median age of the BPH (9). Their activity is regulated by the secreted Wnt cohort was 67.3 years, and the median age of the signaling inhibitors including Wnt antagonist fa- prostate cancer cohort was 68.2 years. BPH sam- milies namely the secreted frizzled-related protein ples were used as the control group for several (sFRP), Wnt inhibitory factor 1 (Wif-1), and Di- reasons. First, most men have evidence of BPH by ckkopf (DKK1-4) families (10). the age of 70 or 80 years; thus, the presence of Dickkopf homologue 3 (DKK3) gene which some degree of BPH is “normal” at the median is located at 11p15, is proposed to function as a age of diagnosis in our prostate cancer cohort tumor suppressor gene since its expression is do- (age 67.3 years). Truly “normal” samples would wn-regulated in many types of cancer cells (11). thus only be obtained in a much younger con- Inactivation of tumor-suppressive genes by either trol cohort, which could introduce bias. Second, genetic or epigenetic mechanisms contributes to the collection of blood samples requires a hospital cancer formation. Ectopic expression of DKK3 visit and a prostate cancer screening procedure, results in decreased proliferation and is accom- which would only be undertaken in men with evi- panied by attenuation of the mitogen-activated dence of symptoms of prostate enlargement. All protein kinase pathway (12). If DKK3 regulates the the study participants provided written informed growth of normal and cancerous prostate cells, the consent. The institutional review board of Chung- variation in DKK3 activity may be important in -Ang University Hospital and Catholic University the onset and progression of prostate cancer. We Hospital approved the study. Blood samples were hypothesized that sequence variations in DKK3 collected in tubes containing sodium ethylene dia- are candidates for risk factors for development of minetetraacetic acid from St. Mary’s Hospital in prostate cancer and progression. Korea. The QIA amp blood extraction kit (Qiagen, However to our knowledge, there have Seoul, Korea) was used for DNA extraction. been no reports regarding DKK3 gene polymor- The PSA level was classified as low (PSA<4), phisms in prostate cancer. Here we investigated intermediate (4≤PSA<10), or high (PSA≥10). The whether SNPs of the DKK3 gene were associated Gleason score was designated as low (Gleason with the development of prostate cancer in a Ko- score 2-6), intermediate (Gleason score 4+3, 3+4), rean cohort. or high (Gleason score 8-10) grade. The clinicopa- thologic regional stages were categorized as loca- MaterialS AND METHODS lized (Stage T1N0M0 orT2N0M0), locally advan- ced (Stage T3N0M0 or T4N0M0), and metastatic Study Population (TxN+ or TxM+) according to the pathologic and/ Blood samples were obtained from the Ko- or radiologic reports. Clinical characteristics of the rean Prostate Bank (Seoul, Korea). Both prostate study population are listed in Table-1 and were cancer and benign prostatic hyperplasia (BPH) similar to those of a previous Korean study (13). groups originated from a population of older men treated at St. Mary’s Hospital (Seoul, Korea). Pe- SNP Selection and Genotyping ripheral blood leukocyte samples for genotyping We selected 53 SNPs from two internatio- were obtained from 445 men (prostate cancer, nal databases (International HapMap and National n=272; BPH, n=173) and were stored at -80°C. Center for Biotechnology Information dbSNPs). BPH subjects had true biopsy for confirmation SNP selection from the International HapMap da- for free of prostate cancer at the time when the tabase (Han Chinese and Japanese) was performed samples were taken according to prostate-speci- as follows: (a) extraction of all genotypes from fic antigen blood tests and digital rectal prostate the CHB and JPN population in DKK3 gene region exams and were excluded from the study if they using HapMart of the International HapMap da- had a history of prostate cancer. Prostate cancer tabase (version release 27; available from: http:// 870 IBJU | POLYMORPHISMS IN DKK3 GENE AND PROSTATE CANCER RISK AND PROGRESSION Table 1 - Study characteristics of prostate cancer cases bridization to oligonucleotides, washing, exten- and controls. sion, ligation, amplification by polymerase chain reaction, and hybridization to the Bead plate in an Cases Controls appropriate hybridization buffer. The image inten- N 272 173 sities were scanned using the Bead Xpress Reader, and genotyped using the Genome Studio software Age (year)±SD 68.2±6.8 67.3±8.8 (Illumina). The genotype quality score for retai- BMI in kg/m2 (%) 24.1±3.3 24.0±3.0 ning data was set to 0.25. A total of 53 SNPs were Prostate volume (cm3)±SD 37.2±18.6 48.4±26.2 successfully genotyped. PSA, ng/mL (mean±SD) 48.2±192.8 5.2±6.7 Statistical analysis Gleason score, n (%) The SNP genotype frequencies were exa- low grade 29 (11%) mined for Hardy-Weinberg equilibrium using the (3+4, 4+3) 202 (75%) chi-square test, and all were found to be consistent (P>0.05) with Hardy-Weinberg equilibrium among high grade 39 (14%) the Korean controls. The data were analyzed using Clinical Stage, n (%) unconditional logistic regression analysis to cal- localized 252 (55.1%) culate the odds ratio (OR) as an estimate of the re- lative risk of prostate cancer associated with SNP locally advanced 10 (35.7%) genotypes (15). metastatic 8 (8.5%) To determine the association between the genotype and haplotype distributions of patients unknown 2 (0.7%) and controls, logistic analysis was performed, Pathologic Stage, n (%) controlling for age (continuous value) as a co- variate to eliminate or reduce any confounding Localized (T2) 152 (60.3%) influence. Significant associations were indicated Advanced (≥T3) 100 (39.7%) (P≤0.05). Multiple comparisons were also accoun- ted for by using per mutations to calculate the exact P values for each significant SNP α( =0.05). www.hapmap.org); (b) calculation of minor al- Lewontin’s D’ and the linkage disequilibrium co- lele frequency and linkage disequilibrium using efficient r2 were examined to measure linkage Haplo view software (Cambridge, MA; available disequilibrium between all pairs of bi-allelic loci from: http://www.broad.mit.edu/mpg/haploview), (16).
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