Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

  • Register
  • Log in
  • Log out
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Collections
      • Disparities Collection
      • Editors' Picks
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • OnlineFirst
    • Editors' Picks
    • Citation
    • Author/Keyword
  • News
    • Cancer Discovery News
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention

Advanced Search

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Collections
      • Disparities Collection
      • Editors' Picks
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • OnlineFirst
    • Editors' Picks
    • Citation
    • Author/Keyword
  • News
    • Cancer Discovery News
Research Articles

Catechol-O-methyltransferase Gene Polymorphisms in Benign Prostatic Hyperplasia and Sporadic Prostate Cancer

Yuichiro Tanaka, Masahiro Sasaki, Hiroaki Shiina, Takashi Tokizane, Masao Deguchi, Hiroshi Hirata, Yuji Hinoda, Naoko Okayama, Yutaka Suehiro, Shinji Urakami, Toshifumi Kawakami, Masanori Kaneuchi, Deepa Pookot, Mikio Igawa, Akihiko Okuyama, Nobuhisa Ishii and Rajvir Dahiya
Yuichiro Tanaka
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Masahiro Sasaki
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hiroaki Shiina
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Takashi Tokizane
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Masao Deguchi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hiroshi Hirata
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yuji Hinoda
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Naoko Okayama
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yutaka Suehiro
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shinji Urakami
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Toshifumi Kawakami
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Masanori Kaneuchi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Deepa Pookot
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mikio Igawa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Akihiko Okuyama
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nobuhisa Ishii
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rajvir Dahiya
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1055-9965.EPI-05-0550 Published February 2006
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Various carcinogenic metabolites, including catechol estrogens, play a role in malignant transformation. An enzyme that is capable of neutralizing the genotoxic effects of these compounds is catechol-O-methyltransferase (COMT). A variant form of this enzyme has been shown to reduce its activity by up to 4-fold; thus, we hypothesize that single nucleotide polymorphisms of the COMT gene can be a risk factor for benign prostatic hyperplasia (BPH) and prostate cancer. To test this hypothesis, the genetic distribution of three different COMT polymorphisms at codon 62 (C→T), codon 72 (G→T), and codon 158 (G→A) were analyzed in 131 normal healthy subjects, 134 BPH, and 178 sporadic prostate cancer samples from a Japanese population. Results of these experiments show that the variant genotype at codon 62 (P = 0.060) and codon 158 (P = 0.047) are risk factors for prostate cancer but not BPH when compared with normal controls. Odds ratio (OR) and 95% confidence interval (95% CI) for cancer were 3.24 and 1.38 to 7.61, respectively, for codon 62 T/T genotype when compared with wild type. At codon 158, the A/A variant for cancer had an OR of 3.00 with a 95% CI of 1.38 to 6.54 compared with wild type. Codons 62 and 158 were in linkage disequilibrium (LD), and when compared with the C-G haplotype, other types (C-A, T-G, T-A) were observed to be associated with prostate cancer (P = 0.040) but not BPH. Codon 72 on the other hand, was not in LD with either codon 62 or 158. The homozygous variant on codon 72 was rare in this Japanese population, and the heterozygous G/T at this codon was not associated with either prostate cancer or BPH. When evaluating the risk of COMT polymorphisms with stage or grade of cancer, no associations were observed for any of the genotypes with the exception of a tendency (P = 0.096) for the variant A allele on codon 158 to be correlated with higher stages (≥T3) of cancer. This is the first report that shows the polymorphisms of COMT to be associated with sporadic prostatic carcinogenesis. These results are important in understanding the role of COMT polymorphisms in the pathogenesis of prostate cancer. (Cancer Epidemiol Biomarkers Prev 2006;15(2):238–44)

  • Prostate
  • Cancer
  • Catechol-O-methyltransferase
  • Polymorphism

Introduction

Prostate cancer incidence rates have ranked first, and death rates were second among all men with cancer in the United States over the past several years (1). Despite these high rates, the genetic basis of this disease is not well understood. Factors that may play a role in prostate carcinogenesis are estrogens and their metabolites (2, 3). Estrogens are implicated in the prostatic disease process by studies comparing racial differences in circulating levels of estrogens in men of high and low risk for prostate cancer. Serum estrone concentrations were 16% higher in healthy African American compared with lower risk Caucasian men (4). When comparing Dutch with Japanese, serum estradiol levels were significantly elevated in the higher risk Dutch men (5). Additionally, aromatase has been shown to be present in human prostate, which could provide a local source of estrogen via testosterone (6, 7), and epithelial levels of estrogens are higher compared with stromal levels in normal prostates (8). Interestingly within African Americans, prostate cancer patients displayed a significantly elevated level of estrone compared with matched controls (9). In addition to the malignant form, benign prostatic hyperplasia (BPH) has also been shown to have significantly elevated estradiol and estrone levels and is correlated with age (8); and this increase seems to be associated with prostate volume (10). On the contrary, other studies with BPH patients show estradiol levels to remain constant, whereas dihydrotestosterone declines with age, and this estrogen-dominant environment was suggested to lead to BPH (11).

The reports mentioned above thus suggest estrogen to play a role in the prostatic disease process. Although the classic role of estrogens in cells are to bind to its receptors and produce their biological effects, they may also undergo hydroxylation, and the resulting catechol estrogen may play a role in prostate carcinogenesis (12, 13). This conversion to catechol estrogens is due to cytochrome P450 (CYP) enzymes and include CYP1A1 (14) and CYP1B1 (15, 16) that have been shown to be expressed in human prostatic cells (17, 18). Indeed, catechol estrogen metabolites were observed to be present in the various lobes of the prostate in rats when 4-OH-estradiol was injected i.p. (13). As a consequence of their presence, these catechol estrogens and metabolites have been shown to induce adenocarcinoma in mice (19) as well as DNA single-strand breakage (20) and mutation (21). Thus, these findings show that catechol estrogens may play a causative role in the carcinogenesis process and may affect the prostate.

To counter the effects of these highly reactive and carcinogenic catechol estrogens, several enzymes are present in cells that can detoxify these compounds. One such enzyme is catechol-O-methyltransferase (COMT) that attaches a methyl group from the coenzyme S-adenosyl-l-methionine, to the hydroxyl group of the catechols, forming a methoxy compound (22). This methoxylation can either be at the 2-, 3-, or 4-positions of the catechol ring (23); thus, the formation of highly reactive catechol quinones and semiquinones that are damaging to DNA (24-27) or toxic to cells (28, 29) are prevented. These methoxy estrogens are also biologically inactive because they have little to no affinity for estrogen receptors and have no estrogenic effects on target tissues (30). On the contrary, 2-methoxy-estrogen has been shown to have antiangiogenic and antiproliferative effects on cancer cell lines in vitro (31-33), and this may be due to its ability to inhibit DNA synthesis and mitosis (31). Likewise, when given to mice, this methoxy estrogen has been shown to inhibit neovascularization and suppress the growth of solid tumors (32, 33). Thus, the COMT enzyme is shown to play a protective role in the body.

There are two types of COMT proteins. A soluble form (S-COMT) contains 221 amino acids with a mass of 24.4 kDa, whereas a membrane-bound form (MB-COMT) contains 271 amino acids with a mass of 30.0 kDa (34). The COMT gene is located on chromosome 22, band q11.2 (35, 36). There are six exons of which the first two are noncoding. On exon 3 are two distinct ATG start codons for promoters P1 and P2, which code for S-COMT and MB-COMT, respectively (37).

Many polymorphisms have been identified in the COMT gene, and three of these in the coding region are as follows: codon 62 (C→T), codon 72 (G→T), and codon 158 (G→A; Fig. 1A; refs. 38, 39). The polymorphism at codon 62 is silent (His), whereas the variant genotype alters Ala to Ser at codon 72 and Val to Met at codon 158. Prior studies have shown that polymorphisms and mutations in many genes cause changes in the function of proteins (40, 41). In the case of COMT, the amino acid change at codon 158 (Val → Met) results in an enzyme activity that is up to four times less than the wild type (38, 42, 43). This codon 158 polymorphism has been extensively studied and found to have associations with neurologic/psychological diseases (44-49). Associations for the codon 158 polymorphism have also been investigated in cancers and include breast (50-53), bladder (54), liver (55), and endometrial (56, 57). In prostate cancer, Suzuki et al. (58) found no significant difference between cancer versus control for the codon 158 polymorphism. However, their study used familial prostate cancer patients that have a higher predisposition to cancer (59, 60). Therefore, in the present study, associations of COMT polymorphisms with sporadic prostate cancer patients were determined.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

A. Schematic representation of the COMT gene structure. Three polymorphic sites shown are located at codon 62 (C→T), codon 72 (G→T), and codon 158 (G→A). The polymorphism at codons 62 and 72 are located in exon 3, and codon 158 is in exon 4. Corresponding amino acid changes due to the polymorphism are listed with codon 62 being silent. B. Representative gels displaying polymorphic genotypes of COMT for codons 62, 72, and 158. Upper gels (WT), wild type of each polymorphic locus. Lower gels (VT), variant type of each polymorphic locus. Upper band within gels are the 1st PCR product, and lower bands are the SSP product. Lane 1, 100-bp ladder marker; lane 2, homozygous wild type; lane 3, heterozygous type; lane 4, homozygous variant genotype.

Because polymorphisms are inherited, interindividual differences in disease risk may occur and include prostate cancer. The present study was designed to investigate the polymorphisms of the COMT gene at three different loci in a Japanese population and determine their association with BPH and sporadic prostate cancer risk.

Materials and Methods

Samples

Prostate cancer samples (n = 178) were obtained from the Department of Urology at the hospital of Shimane Medical University, Izumo, Japan. The samples were collected from patients by radical prostatectomy and obtained during the period from 1997 to 2003. Samples were pathologically characterized in terms of their stage (Tumor-Node-Metastasis system) and grade (General Rules for Clinical and Pathological Studies on Prostate Cancer by Japanese Urological Association and Japanese Pathological Society). Normal region of tissues were carefully dissected under a microscope and used for analyses. Prostate-specific antigen was measured in patients, and mean levels were 11.5 ± 0.8. Age of cancerous patients was 68.6 ± 0.4 years. BPH specimens (n = 134) were collected via trans-urethral resection. Average age of BPH patients was 73.1 ± 0.7 years, and mean prostate-specific antigen levels were 6.4 ± 0.6. Control blood samples (n = 131) from volunteers were also obtained from male Japanese for genotyping. To ascertain that volunteers were healthy and free of cancer, they all underwent various tests that included physical exams, questionnaires about their health and history, chest X-rays, blood and urine tests for various tumor markers, abdominal ultrasound, gastric endoscopy, and colon enema. Based on doctor examinations and past history, all were confirmed to be free of cancer. Volunteers were closely matched with prostate cancer patients and had a mean age of 67.3 ± 1.05. Prostate cancer patients, BPH patients, and volunteers for the control group were unrelated and selected at random during the same period as the collection of prostate cancer samples.

DNA Extraction

DNA was extracted from all prostate cancer, BPH, and control samples by using a DNA extraction kit (Qiagen, Valencia, CA). Quantity and quality of DNA were measured at 260 and 280 nm by the use of a spectrophotometer.

Analyses of COMT Polymorphisms

A two-step PCR procedure was designed for the analysis of COMT polymorphisms. The primers of the three polymorphic sites studied and PCR conditions are summarized in Table 1. In the first PCR, DNA (10 ng) was amplified in a 20 μL reaction containing 1.5 mmol/L MgCl2, 0.8 mmol/L deoxynucleotide triphosphate mix, PCR buffer, and 0.5 unit of Red-Taq polymerase (Sigma-Aldrich, St. Louis, MO), along with primer sets designed to contain the polymorphic sites (Table 1). In the sequence-specific PCR (SSP), each polymorphic fragment was further amplified under similar conditions as the first-step PCR except for the use of SSP primer sets (Table 1).

View this table:
  • View inline
  • View popup
Table 1.

Summary of first PCR and SSP primer sets along with annealing temperatures for COMT polymorphisms on exon 3 and 4

Gel Electrophoresis

Each of the SSP products were electrophoretically separated on 3% agarose gels using 200 V at ambient temperature. The products were then visualized by ethidium bromide staining under UV light.

DNA Sequencing

To confirm genotyping, products of the first PCR were subjected to direct DNA sequencing. DNA was purified from gels using a QIAquick PCR purification kit (Qiagen). Sequence analysis of purified products was then determined by using the first PCR primers and ABI 377 Sequencer and Dye Terminator Cycle sequencing kit (Applied Biosystems, Inc., Foster City, CA). Confirmation of DNA sequence was done on at least three representative samples for each of the polymorphic types.

Statistical Analyses

Frequencies of the various genotypes and allele types of COMT polymorphisms in the different categories of samples were determined and tabulated. χ2 analysis was used to test each of the polymorphisms for differences in genotypic and allelic frequencies among BPH, prostate cancer, and control, as well as between stages and grades of cancer. Relative risk associated with a particular genotype was estimated by calculating odds ratios along with 95% confidence intervals. Linkage disequlibrium between polymorphic sites and haplotype frequency differences between disease categories were calculated using the SNPAlyze version 2.2 software (DYNACOM, Tokyo, Japan).

Results

The COMT gene structure is shown in Fig. 1A. Two polymorphic sites are located on exon 3 at codon 62 (C→T) and codon 72 (G→T), and a third is located on exon 4 at codon 158 (G→A). Representative gels displaying the polymorphic genotypes at these codons are shown in Fig. 1B. Upper gels show wild type, and lower gels show variant type of each polymorphic locus. Lanes 1, 2, 3 and 4 show 100-bp DNA ladder marker, homozygous wild type, heterozygous, and homozygous variant genotype, respectively. The upper band within gels is the first PCR product, and the SSP products are the lower band. SSP products were confirmed by DNA sequencing (data not shown).

Genotypic and allelic frequencies of the three different polymorphisms of the COMT gene in Japanese controls, BPH, and prostate cancer patients are shown in Table 2A and B, respectively. All polymorphic frequencies for healthy controls follow the Hardy-Weinberg equilibrium. Interestingly, in this Japanese control population, the homozygous variant is detected in only one sample at codon 72 (T/T), and frequency is considerably low at codon 62 (T/T; 3.8%) and codon 158 (A/A; 5.3%). Among BPH patients, no differences in genotype or allele frequency were detected when compared with controls for all polymorphisms measured. However, risks for prostate cancer were significant for the variant genotype and allele at these sites. At codon 62, 11.2% of patients had the variant T/T versus 3.8% of healthy controls (χ2, P = 0.060). The odds ratio compared with C/C (reference) was 3.24 with a 95% confidence interval of 1.38 to 7.61. The variant genotype at codon 158 was also observed to be a risk factor (χ2, P = 0.047), as more than twice the cancer patients (13.5%) had the variant A/A compared with controls (5.3%). Odds ratio and 95% confidence interval were 3.00 and 1.38 to 6.54, respectively. Concordantly, the variant allele A proved to be a risk for cancer (P = 0.034). No association was found for the heterozygous variant G/T on codon 72.

View this table:
  • View inline
  • View popup
Table 2.

The genotypic (A) and allelic (B) frequencies of three polymorphisms of COMT between healthy control, BPH, and prostate cancer

Linkage disequlibrium values were calculated among each of the three polymorphic sites in the normal healthy control group and are shown in Table 3. Interestingly, codon 62 was in linkage disequlibrium with codon 158 and had a D of 0.158. Codon 72, however, was not in linkage disequlibrium with either codon.

View this table:
  • View inline
  • View popup
Table 3.

Linkage disequilibrium among three polymorphisms of COMT in normal healthy samples

Haplotype frequencies of the two polymorphic sites (codons 62 and 158) were calculated, and Table 4 shows the distributions for healthy controls, BPH, and prostate cancer. The codon 62 to 158 C-G haplotype is observed in 72.1% of healthy controls, 72.4% of BPH, and 64.3% of prostate cancer patients. Interestingly, when compared with C-G, the other haplotypes (C-A, T-G, and T-A) were observed to be significantly higher in frequency among prostate cancer patients compared with controls (P = 0.040). However, no significant differences were observed in haplotype frequencies between BPH and controls.

View this table:
  • View inline
  • View popup
Table 4.

Haplotype frequencies of codons 62 and 158 of COMT among healthy control, BPH, and prostate cancer patients

The correlation of the polymorphisms of COMT with clinical stage of cancer is shown in Table 5. Prostate cancer tissues were classified as either ≤T2 (n = 118) or ≥T3 (n = 58) with two samples of unknown status. No significant differences between stages were found due to genotype for all codons. Allele frequencies also did not differ between stages except for a tendency (P = 0.096) for the codon 158 variant A to be correlated with higher stages (≥T3) of prostate cancer.

View this table:
  • View inline
  • View popup
Table 5.

The genotypic (A) and allelic (B) frequencies of three polymorphisms of COMT with clinical stage (≤T2 versus ≥T3) of prostate cancer

Table 6 shows the frequencies of the various genotypes and alleles of different COMT polymorphic sites with respect to pathologic grade of cancer. Three types of grade classifications were made and include ≤6 (n = 96), 7 (n = 47), and ≥8 (n = 31) with four samples of unknown status. No significant associations for both genotype and allele type of COMT polymorphic sites were observed between these grades of cancer. Classifications based on grade ≤7 versus grade ≥8 or grade ≤6 versus grade ≥7 also show no correlation with either genotype or allele at these polymorphic sites.

View this table:
  • View inline
  • View popup
Table 6.

The genotypic (A) and allelic (B) frequencies of three polymorphisms of COMT with pathologic grade (≤6, 7, ≥8) of prostate cancer

The results of these experiments suggest that COMT polymorphisms may be a risk factor for prostate cancer.

Discussion

The bioactivation of estrogens and carcinogens via CYP1A1 or CYP1B1 (12, 16) have been associated with several tumors in various tissues, including prostate (12, 13, 27). One of the resultant chemical structures responsible for the tumorigenicity of CYPs is catechol estrogens. This form of estrogen leads to the formation of semi-quinones and quinones that are known to react with DNA (61, 62). Therefore, detoxification of catechol estrogens in the cells of the body is important to prevent mutations, and the COMT enzyme is responsible for this defense.

Proper enzymatic function of COMT in cells is thus essential to prevent genetic changes. Polymorphisms of genes, however, have been shown to alter enzymatic activity. In the case of CYP2A6, a polymorphism results in reduced activity of the enzyme (63). Thus, polymorphism is a potential mechanism by which COMT activity is reduced, thereby causing an accumulation of mutagenic catechol compounds. The COMT gene consists of six exons, and at least three polymorphisms in the coding region (codons 62, 72, and 158) have been identified that are located on exons 3 and 4 (Fig. 1A). Exons 1 and 2 are noncoding and contain no polymorphism. The polymorphism at codon 62 is silent and results in no amino acid change (His; ref. 39). The other two sites, however, result in amino acid substitutions as follows: codon 72 (Ala → Ser) and codon 158 (Val → Met; ref. 39).

In the present study, the three polymorphic sites mentioned above were analyzed to determine if the variant polymorphism influences the risk of prostatic disease. No differences were observed in genotypic or allelic frequency at any of these sites between BPH and normal healthy controls in this Japanese population. Interestingly, the homozygous variant T/T on codon 72 is only found in one sample, and this rarity is observed in another Asian population (64). Thus, these polymorphic sites are not responsible for the development of the benign form of prostate disease. In support of this finding, other estrogen-related gene polymorphisms were also found to have no risk for BPH, such as steroid 5-reductase type II (65) and CYP17 (66).

When determining the effects of COMT polymorphisms on prostate cancer, the heterozygous genotype on codon 72 was also observed to have no association. Thus, Ala/Ser72 of the COMT enzyme does not seem to play a role in prostatic carcinogenesis in this Japanese population. On the other hand, differences in genotypic distributions were found at codon 62 (P = 0.060) and codon 158 (P = 0.047) of COMT between prostate cancer patients and healthy controls in this population, and these two polymorphic sites were determined to be in linkage disequlibrium with each other. The odds ratio and 95% confidence interval of variant genotype T/T on codon 62 and A/A on codon 158 were significantly higher in cancer compared with normal controls. Respective allele frequencies also differed at codon 158 (P = 0.034). Concordantly, haplotype analyses among these two sites also show that the presence of a variant (codon 62-158, C-A,T-G, T-A) are significantly associated with prostate cancer. Thus, the silent variant His62 and variant Met158 seem to be of importance in the pathogenesis of prostate cancer. These results for Met158 are in agreement with studies done on breast cancer as Huang et al. (67) and Saczi et al. (52) reported an association for Met158 with cancer. However, in another study done on prostate cancer in Japan, Suzuki et al. (58) reported no association for Met158 with cancer. Differences between their studies and the present one may possibly be due to the type of cancerous patients as Suzuki et al. used familial cancer patients whereas the present consisted of sporadic cancer patients. Familial prostate cancer has been shown by Woolf (59) to have a greater expectancy to develop the cancer with a risk factor of three times that of controls, and Steinberg et al. (60) reported up to a 11-fold risk among patients with three first-degree relatives. Another difference between these studies is the N size used as the present study consisted of 44% more patients. Thus, Suzuki et al. had 114 control and 101 cancer patients compared with the present study with 131 control and 178 patients. Interestingly, in Suzuki et al.'s study, the risk of the homozygous variant A/A on codon 158 for cancer was essentially none with a P of 0.99. However, the heterozygous G/A in their study had a slight indication toward a risk for familial prostate cancer with a P of 0.18 and perhaps, a greater N size might have shown the heterozygous variant to achieve significance in their study. As a consequence of this pattern of results, their data display a highly unique genotype distribution among prostate cancer patients.

The correlation between the COMT genotypes and alleles with clinical stages of prostate cancer were analyzed. Although cases of samples at higher stages (≥T3) were greater compared with lower stages (≤T2) for the variant A/A at codon 158 (17.2% versus 11.9%, respectively), no significant difference was found and may be due to a small sample size (n = 118 for ≤T2; n = 58 for ≥T3). The variant allele at this codon, however, was found to approach a significant association with advanced stages of cancer (P = 0.096). Thus, polymorphisms of the COMT gene at codon 158 may play a role in the progression of sporadic prostate cancer. In agreement, codon 158 polymorphism has been shown to be correlated with advanced stages of breast cancer in a Japanese population (68). On the contrary in familial prostate cancer, Suzuki et al. (58) found no correlation between the COMT 158 polymorphism with stage of cancer. These authors, however, did not show their data regarding stage and had a much smaller number of cases of prostate cancer (n = 101) compared with the present study (n = 178).

The correlation between the COMT genotypes and alleles with pathologic grades of prostate cancer were also analyzed. No association for grade types was found at all polymorphic sites studied. Suzuki et al. (58) also observe no association for the codon 158 variant with grade of cancer in familial prostate cancer. Thus, polymorphisms of the COMT gene do not seem to play a role with pathologic grade of prostate cancer. This lack of association with grade of prostate cancer was also found in other estrogen-related gene polymorphisms, such as CYP17 (69, 70) and CYP19 (70).

The mechanism by which polymorphisms on codons 62 and 158 of the COMT gene may play a role in the carcinogenesis process is not fully understood. The polymorphism on codon 62 is silent because the amino acid remains unchanged as His. However, gene expression could be affected as a result of a structural change in the RNA due to the variant, leading to an alteration in processing or efficiency of translation (71). In contrast, the polymorphism on codon 158 results in an amino acid change from Val to Met. As a consequence of this change, properties of the resultant variant enzyme have been shown to reduce its activity with the heterozygous type displaying intermediate activity (38, 42, 43). COMT activity of the variant form has been shown to be up to 4-fold less than normal (38, 42, 43) and to be thermolabile as well (38, 43, 72, 73). In addition to its role in the regulation of various biological substrates (i.e., dopamine and norepinephrine; refs. 74, 75), the COMT enzyme also is important in the elimination of toxic or carcinogenic compounds that include catechol estrogens. These catechol compounds have been shown to induce adenocarcinoma in mice (19), DNA single-strand breakage (20), and mutation (21). Thus, the variant polymorphism on codon 158 leading to a reduced COMT activity may cause an increase in mutagenic compounds and lead to prostate cancer.

This is the first report to investigate the polymorphisms in the COMT gene at three different locations (codons 62, 72, and 158) in BPH and prostate cancer. Interestingly, these polymorphisms were observed to be a risk factor for prostate cancer but are not associated with BPH. Because polymorphisms are inherited, the Met158 variant that can lead to reduced methoxylation activity and along with the codon 62 polymorphism may be responsible for interindividual differences in prostate cancer risk associated with catechol estrogens or carcinogens. In conclusion, these findings suggest that polymorphisms of COMT may be important in understanding the pathogenesis of prostate cancer.

Footnotes

  • Grant support: Veterans Affairs/Merit Review Entry Program and Research Enhancement Award Program and Department of Defense Young Investigator Award.

  • The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

    • Accepted December 14, 2005.
    • Received July 27, 2005.
    • Revision received October 25, 2005.

References

  1. ↵
    Jemal A, Tiwari RC, Murray T, et al. American Cancer Society. Cancer statistics, 2004. CA Cancer J Clin 2004;54:8–29.
    OpenUrlCrossRefPubMed
  2. ↵
    Bosland MC. The role of steroid hormones in prostate carcinogenesis. J Natl Cancer Inst Monogr 2000;2000:39–66.
    OpenUrlAbstract/FREE Full Text
  3. ↵
    Griffiths K. Estrogens and prostatic disease. International Prostate Health Council Study Group. Prostate 2000;45:87–100.
    OpenUrlCrossRefPubMed
  4. ↵
    Ross R, Bernstein L, Judd H, Hanisch R, Pike M, Henderson B. Serum testosterone levels in healthy young black and white men. J Natl Cancer Inst 1986;76:45–8.
  5. ↵
    de Jong FH, Oishi K, Hayes RB, et al. Peripheral hormone levels in controls and patients with prostatic cancer or benign prostatic hyperplasia: results from the Dutch-Japanese case-control study. Cancer Res 1991;51:3445–50.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    Tsugaya M, Harada N, Tozawa K, et al. Aromatase mRNA levels in benign prostatic hyperplasia and prostate cancer. Int J Urol 1996;3:292–6.
    OpenUrlPubMed
  7. ↵
    Hiramatsu M, Maehara I, Ozaki M, Harada N, Orikasa S, Sasano H. Aromatase in hyperplasia and carcinoma of the human prostate. Prostate 1997;31:118–24.
    OpenUrlCrossRefPubMed
  8. ↵
    Krieg M, Nass R, Tunn S. Effect of aging on endogenous level of 5 alpha-dihydrotestosterone, testosterone, estradiol, and estrone in epithelium and stroma of normal and hyperplastic human prostate. J Clin Endocrinol Metab 1993;77:375–81.
    OpenUrlCrossRefPubMed
  9. ↵
    Ahluwalia B, Jackson MA, Jones GW, Williams AO, Rao MS, Rajguru S. Blood hormone profiles in prostate cancer patients in high-risk and low-risk populations. Cancer 1981;48:2267–73.
    OpenUrlCrossRefPubMed
  10. ↵
    Suzuki K, Ito K, Ichinose Y, et al. Endocrine environment of benign prostatic hyperplasia: prostate size and volume are correlated with serum estrogen concentration. Scand J Urol Nephrol 1995;29:65–8.
    OpenUrlPubMed
  11. ↵
    Shibata Y, Ito K, Suzuki K, et al. Changes in the endocrine environment of the human prostate transition zone with aging: simultaneous quantitative analysis of prostatic sex steroids and comparison with human prostatic histological composition. Prostate 2000;42:45–55.
    OpenUrlCrossRefPubMed
  12. ↵
    Williams JA, Martin FL, Muir GH, Hewer A, Grover PL, Phillips DH. Metabolic activation of carcinogens and expression of various cytochromes P450 in human prostate tissue. Carcinogenesis 2000;21:1683–9.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Cavalieri EL, Devanesan P, Bosland MC, Badawi AF, Rogan EG. Catechol estrogen metabolites and conjugates in different regions of the prostate of Noble rats treated with 4-hydroxyestradiol: implications for estrogen-induced initiation of prostate cancer. Carcinogenesis 2002;23:329–33.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    Spink DC, Eugster HP, Lincoln DW II, et al. 17 beta-estradiol hydroxylation catalyzed by human cytochrome P450 1A1: a comparison of the activities induced by 2,3,7,8-tetrachlorodibenzo-p-dioxin in MCF-7 cells with those from heterologous expression of the cDNA. Arch Biochem Biophys 1992;293:342–8.
    OpenUrlCrossRefPubMed
  15. ↵
    Spink DC, Hayes CL, Young NR, et al. The effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin on estrogen metabolism in MCF-7 breast cancer cells: evidence for induction of a novel 17 beta-estradiol 4-hydroxylase. J Steroid Biochem Mol Biol 1994;51:251–8.
    OpenUrlCrossRefPubMed
  16. ↵
    Hayes CL, Spink DC, Spink BC, Cao JQ, Walker NJ, Sutter TR. 17 beta-Estradiol hydroxylation catalyzed by human cytochrome P450 1B1. Proc Natl Acad Sci U S A 1996;93:9776–81.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    Muskhelishvili L, Thompson PA, Kusewitt DF, Wang C, Kadlubar FF. In situ hybridization and immunohistochemical analysis of cytochrome P450 1B1 expression in human normal tissues. J Histochem Cytochem 2001;49:229–36.
    OpenUrlAbstract/FREE Full Text
  18. ↵
    Sterling KM, Jr., Cutroneo KR. Constitutive and inducible expression of cytochromes P4501A (CYP1A1 and CYP1A2) in normal prostate and prostate cancer cells. J Cell Biochem 2004;91:423–9.
    OpenUrlCrossRefPubMed
  19. ↵
    Newbold RR, Liehr JG. Induction of uterine adenocarcinoma in CD-1 mice by catechol estrogens. Cancer Res 2000;60:235–7.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    Han X, Liehr JG. DNA single-strand breaks in kidneys of Syrian hamsters treated with steroidal estrogens: hormone-induced free radical damage preceding renal malignancy. Carcinogenesis 1994;15:997–1000.
    OpenUrlAbstract/FREE Full Text
  21. ↵
    Chakravarti D, Mailander PC, Li KM, et al. Evidence that a burst of DNA depurination in SENCAR mouse skin induces error-prone repair and forms mutations in the H-ras gene. Oncogene 2001;20:7945–53.
    OpenUrlCrossRefPubMed
  22. ↵
    Guldberg HC, Marsden CA. Catechol-O-methyl transferase: pharmacological aspects and physiological role. Pharmacol Rev 1975;27:135–206.
    OpenUrlFREE Full Text
  23. ↵
    Dawling S, Roodi N, Mernaugh RL, Wang X, Parl FF. Catechol-O-methyltransferase (COMT)-mediated metabolism of catechol estrogens: comparison of wild-type and variant COMT isoforms. Cancer Res 2001;61:6716–22.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    Stack DE, Byun J, Gross ML, Rogan EG, Cavalieri EL. Molecular characteristics of catechol estrogen quinones in reactions with deoxyribonucleosides. Chem Res Toxicol 1996;9:851–9.
    OpenUrlCrossRefPubMed
  25. Yager JD, Liehr JG. Molecular mechanisms of estrogen carcinogenesis. Annu Rev Pharmacol Toxicol 1996;36:203–32.
    OpenUrlCrossRefPubMed
  26. Zhu BT, Conney AH. Functional role of estrogen metabolism in target cells: review and perspectives. Carcinogenesis 1998;19:1–27.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    Cavalieri EL, Stack DE, Devanesan PD, et al. Molecular origin of cancer: catechol estrogen-3,4-quinones as endogenous tumor initiators. Proc Natl Acad Sci U S A 1997;94:10937–42.
    OpenUrlAbstract/FREE Full Text
  28. ↵
    Stokes AH, Hastings TG, Vrana KE. Cytotoxic and genotoxic potential of dopamine. J Neurosci Res 1999;55:659–65.
    OpenUrlCrossRefPubMed
  29. ↵
    Bolton JL, Trush MA, Penning TM, Dryhurst G, Monks TJ. Role of quinones in toxicology. Chem Res Toxicol 2000;13:135–60.
    OpenUrlCrossRefPubMed
  30. ↵
    Merriam GR, MacLusky NJ, Picard MK, Naftolin F. Comparative properties of the catechol estrogens, I: methylation by catechol-O-methyltransferase and binding to cytosol estrogen receptors. Steroids 1980;36:1–11.
    OpenUrlCrossRefPubMed
  31. ↵
    Lottering ML, Haag M, Seegers JC. Effects of 17 beta-estradiol metabolites on cell cycle events in MCF-7 cells. Cancer Res 1992;52:5926–32.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    Fotsis T, Zhang Y, Pepper MS, et al. The endogenous oestrogen metabolite 2-methoxyoestradiol inhibits angiogenesis and suppresses tumour growth. Nature 1994;368:237–9.
    OpenUrlCrossRefPubMed
  33. ↵
    Klauber N, Parangi S, Flynn E, Hamel E, D'Amato RJ. Inhibition of angiogenesis and breast cancer in mice by the microtubule inhibitors 2-methoxyestradiol and taxol. Cancer Res 1997;57:81–6.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    Lundstrom K, Salminen M, Jalanko A, Savolainen R, Ulmanen I. Cloning and characterization of human placental catechol-O-methyltransferase cDNA. DNA Cell Biol 1991;10:181–9.
    OpenUrlPubMed
  35. ↵
    Grossman MH, Emanuel BS, Budarf ML. Chromosomal mapping of the human catechol-O-methyltransferase gene to 22q11.1–q11.2. Genomics 1992;12:822–5.
    OpenUrlCrossRefPubMed
  36. ↵
    Winqvist R, Lundstrom K, Salminen M, Laatikainen M, Ulmanen I. The human catechol-O-methyltransferase (COMT) gene maps to band q11.2 of chromosome 22 and shows a frequent RFLP with BglI. Cytogenet Cell Genet 1992;59:253–7.
    OpenUrlPubMed
  37. ↵
    Tenhunen J, Salminen M, Lundstrom K, Kiviluoto T, Savolainen R, Ulmanen I. Genomic organization of the human catechol O-methyltransferase gene and its expression from two distinct promoters. Eur J Biochem 1994;223:1049–59.
    OpenUrlPubMed
  38. ↵
    Lachman HM, Papolos DF, Saito T, Yu YM, Szumlanski CL, Weinshilboum RM. Human catechol-O-methyltransferase pharmacogenetics: description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics 1996;6:243–50.
    OpenUrlCrossRefPubMed
  39. ↵
    Saito S, Iida A, Sekine A, et al. Identification of 197 genetic variations in six human methyltransferase genes in the Japanese population. J Hum Genet 2001;46:529–37.
    OpenUrlCrossRefPubMed
  40. ↵
    Makridakis NM, di Salle E, Reichardt JK. Biochemical and pharmacogenetic dissection of human steroid 5 alpha-reductase type II. Pharmacogenetics 2000;10:407–13.
    OpenUrlCrossRefPubMed
  41. ↵
    Ingelman-Sundberg M. Genetic variability in susceptibility and response to toxicants. Toxicol Lett 2001;120:259–68.
    OpenUrlCrossRefPubMed
  42. ↵
    Weinshilboum RM, Raymond FA. Inheritance of low erythrocyte catechol-O-methyltransferase activity in man. Am J Hum Genet 1977;29:125–35.
    OpenUrlPubMed
  43. ↵
    Boudikova B, Szumlanski C, Maidak B, Weinshilboum R. Human liver catechol-O-methyltransferase pharmacogenetics. Clin Pharmacol Ther 1990;48:381–9.
    OpenUrlPubMed
  44. ↵
    Kunugi H, Nanko S, Ueki A, et al. High and low activity alleles of catechol-O-methyltransferase gene: ethnic difference and possible association with Parkinson's disease. Neurosci Lett 1997;221:202–4.
    OpenUrlCrossRefPubMed
  45. Karayiorgou M, Altemus M, Galke BL, et al. Genotype determining low catechol-O-methyltransferase activity as a risk factor for obsessive-compulsive disorder. Proc Natl Acad Sci U S A 1997;94:4572–5.
    OpenUrlAbstract/FREE Full Text
  46. Strous RD, Bark N, Parsia SS, Volavka J, Lachman HM. Analysis of a functional catechol-O-methyltransferase gene polymorphism in schizophrenia: evidence for association with aggressive and antisocial behavior. Psychiatry Res 1997;69:71–7.
    OpenUrlCrossRefPubMed
  47. Kirov G, Murphy KC, Arranz MJ, et al. Low activity allele of catechol-O-methyltransferase gene associated with rapid cycling bipolar disorder. Mol Psychiatry 1998;3:342–5.
    OpenUrlCrossRefPubMed
  48. Borroni B, Agosti C, Archetti S, et al. Catechol-O-methyltransferase gene polymorphism is associated with risk of psychosis in Alzheimer disease. Neurosci Lett 2004;370:127–9.
    OpenUrlCrossRefPubMed
  49. ↵
    Chen X, Wang X, O'Neill AF, Walsh D, Kendler KS. Variants in the catechol-O-methyltransferase (COMT) gene are associated with schizophrenia in Irish high-density families. Mol Psychiatry 2004;9:962–7.
    OpenUrlCrossRefPubMed
  50. ↵
    Miyoshi Y, Noguchi S. Polymorphisms of estrogen synthesizing and metabolizing genes and breast cancer risk in Japanese women. Biomed Pharmacother 2003;57:471–81.
    OpenUrlCrossRefPubMed
  51. Wedren S, Rudqvist TR, Granath F, et al. Catechol-O-methyltransferase gene polymorphism and post-menopausal breast cancer risk. Carcinogenesis 2003;24:681–7.
    OpenUrlAbstract/FREE Full Text
  52. ↵
    Sazci A, Ergul E, Utkan NZ, Canturk NZ, Kaya G. Catechol-O-methyltransferase Val 108/158 Met polymorphism in premenopausal breast cancer patients. Toxicology 2004;204:197–202.
    OpenUrlPubMed
  53. ↵
    Wen W, Cai Q, Shu XO, et al. Cytochrome P450 1B1 and catechol-O-methyltransferase genetic polymorphisms and breast cancer risk in Chinese women: results from the Shanghai Breast Cancer Study and a meta-analysis. Cancer Epidemiol Biomarkers Prev 2005;14:329–35.
    OpenUrlAbstract/FREE Full Text
  54. ↵
    Hung RJ, Boffetta P, Brennan P, et al. Genetic polymorphisms of MPO, COMT, MnSOD, NQO1, interactions with environmental exposures and bladder cancer risk. Carcinogenesis 2004;25:973–8.
    OpenUrlAbstract/FREE Full Text
  55. ↵
    Yin PH, Lee HC, Chau GY, et al. Polymorphisms of estrogen-metabolizing genes and risk of hepatocellular carcinoma in Taiwan females. Cancer Lett 2004;212:195–201.
    OpenUrlCrossRefPubMed
  56. ↵
    McGrath M, Hankinson SE, Arbeitman L, Colditz GA, Hunter DJ, De Vivo I. Cytochrome P450 1B1 and catechol-O-methyltransferase polymorphisms and endometrial cancer susceptibility. Carcinogenesis 2004;25:559–65.
    OpenUrlAbstract/FREE Full Text
  57. ↵
    Doherty JA, Weiss NS, Freeman RJ, et al. Genetic factors in catechol estrogen metabolism in relation to the risk of endometrial cancer. Cancer Epidemiol Biomarkers Prev 2005;14:357–66.
    OpenUrlAbstract/FREE Full Text
  58. ↵
    Suzuki K, Nakazato H, Matsui H, et al. Genetic polymorphisms of estrogen receptor alpha, CYP19, catechol-O-methyltransferase are associated with familial prostate carcinoma risk in a Japanese population. Cancer 2003;98:1411–6.
    OpenUrlCrossRefPubMed
  59. ↵
    Woolf CM. An investigation of the familial aspects of carcinoma of the prostate. Cancer 1960;13:739–44.
    OpenUrlCrossRefPubMed
  60. ↵
    Steinberg GD, Carter BS, Beaty TH, Childs B, Walsh PC. Family history and the risk of prostate cancer. Prostate 1990;17:337–47.
    OpenUrlCrossRefPubMed
  61. ↵
    Liehr JG. Dual role of oestrogens as hormones and pro-carcinogens: tumour initiation by metabolic activation of oestrogens. Eur J Cancer Prev 1997;6:3–10.
    OpenUrlCrossRefPubMed
  62. ↵
    Thibodeau PA, Paquette B. DNA damage induced by catecholestrogens in the presence of copper (II): generation of reactive oxygen species and enhancement by NADH. Free Radic Biol Med 1999;27:1367–77.
    OpenUrlCrossRefPubMed
  63. ↵
    Kitagawa K, Kunugita N, Kitagawa M, Kawamoto T. CYP2A6*6, a novel polymorphism in cytochrome p450 2A6, has a single amino acid substitution (R128Q) that inactivates enzymatic activity. J Biol Chem 2001;276:17830–5.
    OpenUrlAbstract/FREE Full Text
  64. ↵
    Lee SG, Joo Y, Kim B, et al. Association of Ala72Ser polymorphism with COMT enzyme activity and the risk of schizophrenia in Koreans. Hum Genet 2005;116:319–28.
    OpenUrlCrossRefPubMed
  65. ↵
    Li Z, Habuchi T, Mitsumori K, et al. Association of V89L SRD5A2 polymorphism with prostate cancer development in a Japanese population. J Urol 2003;169:2378–81.
    OpenUrlCrossRefPubMed
  66. ↵
    Madigan MP, Gao YT, Deng J, et al. CYP17 polymorphisms in relation to risks of prostate cancer and benign prostatic hyperplasia: a population-based study in China. Int J Cancer 2003;107:271–5.
    OpenUrlCrossRefPubMed
  67. ↵
    Huang CS, Chern HD, Chang KJ, Cheng CW, Hsu SM, Shen CY. Breast cancer risk associated with genotype polymorphism of the estrogen-metabolizing genes CYP17, CYP1A1, and COMT: a multigenic study on cancer susceptibility. Cancer Res 1999;59:4870–5.
    OpenUrlAbstract/FREE Full Text
  68. ↵
    Matsui A, Ikeda T, Enomoto K, et al. Progression of human breast cancers to the metastatic state is linked to genotypes of catechol-O-methyltransferase. Cancer Lett 2000;150:23–31.
    OpenUrlCrossRefPubMed
  69. ↵
    Habuchi T, Liqing Z, Suzuki T, et al. Increased risk of prostate cancer and benign prostatic hyperplasia associated with a CYP17 gene polymorphism with a gene dosage effect. Cancer Res 2000;60:5710–3.
    OpenUrlAbstract/FREE Full Text
  70. ↵
    Latil AG, Azzouzi R, Cancel GS, et al. Prostate carcinoma risk and allelic variants of genes involved in androgen biosynthesis and metabolism pathways. Cancer 2001;92:1130–7.
    OpenUrlCrossRefPubMed
  71. ↵
    Lewin B. Genes. New York (NY): Oxford University Press; 1997. p. 700.
  72. ↵
    Scanlon PD, Raymond FA, Weinshilboum RM. Catechol-O-methyltransferase: thermolabile enzyme in erythrocytes of subjects homozygous for allele for low activity. Science 1979;203:63–5.
    OpenUrlAbstract/FREE Full Text
  73. ↵
    Spielman RS, Weinshilboum RM. Genetics of red cell COMT activity: analysis of thermal stability and family data. Am J Med Genet 1981;10:279–90.
    OpenUrlCrossRefPubMed
  74. ↵
    Goldstein M, Lieberman A. The role of the regulatory enzymes of catecholamine synthesis in Parkinson's disease. Neurology 1992;42:8–12.
  75. ↵
    Napolitano A, Cesura AM, Da Prada M. The role of monoamine oxidase and catechol O-methyltransferase in dopaminergic neurotransmission. J Neural Transm Suppl 1995;45:35–45.
    OpenUrlPubMed
View Abstract
PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 15 (2)
February 2006
Volume 15, Issue 2
  • Table of Contents

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Catechol-O-methyltransferase Gene Polymorphisms in Benign Prostatic Hyperplasia and Sporadic Prostate Cancer
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
Citation Tools
Catechol-O-methyltransferase Gene Polymorphisms in Benign Prostatic Hyperplasia and Sporadic Prostate Cancer
Yuichiro Tanaka, Masahiro Sasaki, Hiroaki Shiina, Takashi Tokizane, Masao Deguchi, Hiroshi Hirata, Yuji Hinoda, Naoko Okayama, Yutaka Suehiro, Shinji Urakami, Toshifumi Kawakami, Masanori Kaneuchi, Deepa Pookot, Mikio Igawa, Akihiko Okuyama, Nobuhisa Ishii and Rajvir Dahiya
Cancer Epidemiol Biomarkers Prev February 1 2006 (15) (2) 238-244; DOI: 10.1158/1055-9965.EPI-05-0550

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Catechol-O-methyltransferase Gene Polymorphisms in Benign Prostatic Hyperplasia and Sporadic Prostate Cancer
Yuichiro Tanaka, Masahiro Sasaki, Hiroaki Shiina, Takashi Tokizane, Masao Deguchi, Hiroshi Hirata, Yuji Hinoda, Naoko Okayama, Yutaka Suehiro, Shinji Urakami, Toshifumi Kawakami, Masanori Kaneuchi, Deepa Pookot, Mikio Igawa, Akihiko Okuyama, Nobuhisa Ishii and Rajvir Dahiya
Cancer Epidemiol Biomarkers Prev February 1 2006 (15) (2) 238-244; DOI: 10.1158/1055-9965.EPI-05-0550
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Associations of Tobacco and Alcohol with SINT Risk in Utah
  • A Prognostic ATG-Based Scoring System in Ovarian Cancer
  • Antiparietal Cell Antibody and Esophageal and Gastric Cancer
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians
  • Reviewers

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2019 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement