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Center for Human Genomics [J. X., D. A. M., S. L. Z., E. R. B., J. O.] and Department of Cancer Biology [S. D. C.], Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157; Department of Urology, Washington University School of Medicine, St. Louis, Missouri 63110 [W. J. C.]; and School of Public Health [D. A. S.] and Department of Medicine [J. O.], St. Louis University, St. Louis, Missouri
| Abstract |
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21) or shorter GGC repeats (
16). For the ARE1 of the APS, we found slightly (but not statistically significant) lower PSA levels in men with the AA genotype. It is worth noting that this observation is opposite to the findings of W. Xue et al. Cancer Res., 60: 839841, 2000. We hypothesize that the effects of ARE1 and AR genotypes on mean PSA levels may reflect the effect of other causal polymorphisms in these genes, which are in linkage disequilibrium with these polymorphisms. A systematic approach is required to identify sequence variants in these genes and other related genes, and to test for an association between these variants and PSA levels in large samples. | Introduction |
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However, PSA testing has relatively low sensitivity and specificity. For men with normal DREs, the probabilities of prostate cancer are 1223%, 25%, and >50%, respectively, when PSA levels are 2.54 ng/ml, 4.110 ng/ml, and
10 ng/ml (3, 4, 5, 6, 7, 8)
. The low specificity of PSA testing is because PSA is not prostate cancer-specific. Any prostatic disease that increases the volume of the prostate or disrupts the prostatic architecture, including benign prostatic hyperplasia and prostatitis, can elevate serum PSA levels. Other factors such as age and race are also associated with PSA levels, and these may indirectly reflect differences in prostate sizes. Mean PSA levels (ng/ml) of 10-year age groups differ significantly between each group (age 4049, 0.83; 5059, 1.23; 6069, 1.83; and 7079, 2.31). Blacks have significantly higher PSA levels, followed by Asians, whites, and Latinos (9)
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Recently, genetic polymorphisms in two genes that are potentially important in regulating PSA [AR and PSA gene (APS)] have been reported to be associated with PSA levels. PSA is encoded by APS, which was mapped to 19q13 (10) . There are several variant APS cDNAs, caused by intron retention and alternative splicing of the primary transcript (11) . PSA expression can be regulated by androgens. At least three AREs have been identified in the APS promoter region (12 , 13) . AR, which maps to Xq1112, binds to the AREs and regulates APS expression. Xue et al. (14) reported that serum PSA levels in healthy men are associated with a G/A polymorphism (NheI) at ARE1 of APS (at position -158) and/or the number of CAG repeats in exon 1 of the AR gene. The same polymorphisms were also reported to be associated with prostate cancer risk and severity (15) . These results, if confirmed, are potentially important because they may help us to understand the variation of PSA levels in populations, and significantly increase the sensitivity and specificity of PSA testing by incorporating the genotyping information at the two genes. The goal of this study is to evaluate the findings of association between serum PSA levels and the genetic polymorphisms at both exon 1 of the AR gene (CAG and GGC) and ARE1 of the APS (NheI), in a large collection of 518 men unselected for prostate cancer status.
| Materials and Methods |
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Serum PSA Levels.
Serum PSA concentrations were determined by immunometric assay with kits (Tandem-R) obtained from Hybritech. We used the normal range recommended by the manufacturer (03.9 µg/liter).
Genotyping.
Two microsatellite repeats (CAG and GGC) in exon 1 of the AR gene and a G/A polymorphism (NheI) at ARE1 of the APS (at position -158) were genotyped. For the microsatellite repeats, multiplex PCR using fluorescently labeled primers was performed. The primers used to amplify the CAG repeats were AR-CAG-F (5'-TCCAGAATCTGTTCCAGAGCGTGC-3') and AR-CAG-R (5'-GCTGTGAAGGTTGCTGTTCCTCAT-3'). The primers used to amplify the GGC repeats were AR-GGC-F (5'-TCCTGGCACACTCTCTTCAC-3') and AR-GGC-R (5'-GCCAGGGTACCACACATCAGGT-3'). The resulting PCR fragments were separated in an ABI 3700 sequencer, and the genotypes were scored using ABI software (Genotyper). Nested PCR was used to amplify an 862-bp region of the APS gene from positions -529 to +333 relative to the transcription start site. The first set of PCR primers were F (5'-TAGAGGATCTGTGGACCA-3') and R (5'-TTCCCCTTTAGTAAAGCAGCTGGG-3'). The second set of PCR primers were F (5'-TGACAGTAGCAATGTATCTGTGG-3') and (5'-GGGAGCTGGCTGGGCAATGGGG-3'). The PCR product was digested with Nhe I (New England Biolabs, Beverly, MA), and the digested products were separated on an agarose gel.
Statistical Methods.
The HWE test for the G/A polymorphism of ARE1 and a pair-wise LD test between CAG and GGC of AR were performed using the Genetic Data Analysis (GDA) computer program (16)
. The HWE test was based on an exact test, where many of the possible arrays were generated by permuting the alleles among genotypes and calculating the proportion of these permuted genotypic arrays that have a smaller conditional probability than the original data. The LD test was based on an exact test assuming multinominal probability of the multilocus genotype, conditional on the single-locus genotype (17)
. A Monte Carlo simulation was used to assess the significance by permuting the single-locus genotypes among individuals in the sample to simulate the null distribution. The empirical Ps of both the HWE and LD tests were based on 10,000 replicate samples.
The number of CAG repeats was examined as a quantitative variable (
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, and
27), as well as a qualitative variable (CAG
21 versus CAG
22), based on the median value of CAG repeats in the sample. Because the majority of men had 16 or 17 GGC repeats, this repeat was examined as a qualitative variable (GGN
16 versus GGN
17). Because the distribution of serum PSA levels deviates significantly from a normal distribution (Kolomogorov D statistic = 0.24; P < 0.01), PSA levels were log10 transformed. After the transformation, the distribution approached normality but remained significantly different from a normal distribution (D = 0.09; P < 0.01). Multiple regression models were fit to estimate the effects of the genotype of CAG (qualitative or quantitative), GGC, and combined genotypes of both AR and ARE1 on age-adjusted log serum PSA levels. ANOVA tests were performed to test for differences in mean log PSA levels among men with the genotype AA, AG, or GG at ARE1, and the combined genotypes at AR (CAG and GGC) and APS (ARE1). To decrease the potential population stratification, all of the hypothesis tests were performed in whites because they comprised the majority of the study subjects. All of the Ps were two-sided.
| Results |
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4 ng/ml.
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17 and 21 being the most frequent allele in the blacks and whites, respectively (Fig. 1)
16 repeats compared with 61% of the whites, although this difference was not statistically significant (P = 0.12). There was no statistical difference in the distribution of ARE1 genotypes in the whites and blacks (P = 0.053).
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21 or GGC
16) compared with men with longer repeats (CAG
22 or GGC
17), respectively (Table 2)
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21 or
21) or GGN repeats (
16 or
17)] were compared using an ANOVA test. No significant differences in the mean PSA levels were found (Table 4)
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22 repeats compared with men with
21 repeats. For the GGC polymorphisms, mean log10PSA levels were similar in men with
16 or
17 repeats. The highest mean log10(PSA) levels were observed in the AA genotype of the ARE1 polymorphism.
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| Discussion |
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4.0 ng/ml is generally used as a cutoff for recommending a biopsy. However, this threshold is controversial (18, 19, 20)
. On one hand, only 25% of men above the threshold who have a normal DRE will be diagnosed with prostate cancer after biopsy. The false positives result in unnecessary resource use, a chance of complications, and negative psychological consequences. On the other hand,
20% of detectable cancers occur in men with PSA below the threshold. Many efforts have been made to obtain an ideal PSA cutoff that balances the early detection of cancer (reducing the mortality) with false positives. These efforts include race- and age-specific PSA cutoffs (21
, 22)
, PSA velocity (change of PSA level over time; Ref. 23
), PSA density (dividing PSA level by the volume of the prostate; Ref. 24
), and free PSA (noncomplexed to other protein moieties; Ref. 25
). Another potentially important effort is the use of a genotype-specific cutoff, as some genes may have an important role in regulating PSA levels. To this end, Xue et al. (14)
reported recently significantly different mean serum PSA levels among men with either different genotypes at ARE1 of APS or different CAG repeats of AR gene. This observation, if confirmed, may serve as a basis for setting different thresholds in men with different genotypes at these genes.
However, the results from our study did not confirm the finding of Xue et al. (14)
. We did not observe any significant association between serum PSA levels and either the polymorphisms at CAG and GGC repeats of AR or the ARE1 polymorphism of APS when these variants were analyzed alone or combined. For AR, we did observe slightly (but not statistical significant) higher mean serum PSA levels in men with shorter CAG repeats (
21) or shorter GGC repeats (
16). For the ARE1 of APS, we found slightly (but not statistically significant) lower PSA levels in men with the AA genotype. It is worth noting that this observation is opposite to the finding of Xue et al. (14)
, where significantly higher PSA levels were found in men with the AA genotype.
There are some similarities between the study of Xue et al. (14) and our study, as the subjects in both studies had similar mean ages, included men who were self-reported to be prostate cancer-free, and did not include DRE and prostate size. However, there are several differences. First, the sources of study subjects are different. Whereas their study subjects were from a general population participating in a study of diet and cancer, our study subjects were from workers potentially exposed to asbestos. This may be an important difference if the exposure to asbestos affects serum PSA levels. However, an extensive Pubmed search did not find any published data supporting this assumption. Second, the race composition is different for each study. Whereas their study subjects included African Americans, non-Hispanic whites, Hispanics, and Japanese Americans, the majority of our study subjects were non-Hispanic whites. However, this is unlikely to explain the different findings of the two studies, because the analyses in both studies were race-specific. Third, the sample sizes are different. Although there was a total of 420 men in their study, the sample size is small in each race group. For example, there were only 113 non-Hispanic whites in their study, leading to very few individuals with any given genotypes. In contrast, we have 469 non-Hispanic whites in our study.
The interpretation of the different results from these two studies is difficult. We hypothesize that the observed effects of ARE1 and AR genotypes on mean PSA levels may reflect the effect of other causal polymorphisms in these genes, which are in LD with the ARE1 or AR polymorphisms. The fact that two studies found opposite trends for mean PSA levels in the ARE1 polymorphism of APS is consistent with this hypothesis. In fact, there are several known polymorphisms in the promoter and enhancer regions of APS. Recently, Yang et al. (26) reported that novel polymorphisms in ARE2 of APS are associated with preoperative PSA levels in prostate cancer. A systematic approach is required to identify additional sequence variants in these genes and in other related genes, and to test for an association between each of these variants and PSA levels in large samples.
| Acknowledgments |
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| Footnotes |
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1 This work was partially supported by the Selikoff Fund and a prostate cancer research grant from Department of Defense (DAMD 17-00-1-0087). ![]()
2 To whom requests for reprints should be addressed, at Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157. E-mail: dmeyers{at}wfubmc.edu ![]()
3 The abbreviations used are: PSA, prostate-specific antigen; DRE, digital rectal examination; AR, androgen receptor; ARE, androgen receptor element; HWE, Hardy-Weinberg Equilibrium; LD, linkage disequilibrium. ![]()
Received 8/31/01; revised 3/22/02; accepted 4/ 3/02.
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