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Short Communication |
1 Cancer Epidemiology Centre, The Cancer Council Victoria, 2 Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, and 3 Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia; 4 Cancer Research Program, Garvan Institute of Medical Research, St. Vincent's Hospital, Darlinghurst, New South Wales, Australia; 5 Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia; and 6 International Agency for Research on Cancer, Lyons, France
Requests for reprints: Gianluca Severi, Cancer Epidemiology Centre, The Cancer Council Victoria, 1 Rathdowne Street, Carlton, Victoria 3053, Australia. Phone: 61-39635-5412; Fax: 61-39635-5330. E-mail: gianluca.severi{at}cancervic.org.au
| Abstract |
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| Introduction |
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We used our population-based case-control study from Australia to examine the association between the A allele in rs1447295 and prostate cancer risk and to determine whether the association varied by tumor aggressiveness (i.e., Gleason score).
| Materials and Methods |
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5) as described elsewhere (6, 7). Tumor stage (stages I-IV; ref. 8), grade, differentiation, or Gleason score were recorded from histopathology reports. Eligible controls were randomly selected from males registered on the Electoral Rolls (registration to vote is compulsory), and were frequency-matched by age to cases. Information on age, history of prostate cancer in first-degree relatives, country of birth, life-style, and other potential risk factors for prostate cancer were obtained in face-to-face interviews from 1047 cases and 1058 controls that decided to participate in the study (65% and 50% respectively, of those eligible) (9). Informed consent was obtained from all study participants. Blood samples were available from 831 cases (79% of participants) and 738 controls (70%). A description of participant characteristics has been published (10).
Genotyping
Genomic DNA was buffy coatextracted and the rs1447295 was genotyped using fluorescent-based TaqMan allelic discrimination (Applied Biosystems, Foster City, CA). A total reaction volume of 5 µL included 5 ng of template DNA, 2.5 µL of 2x TaqMan Universal PCR Master Mix, and 0.125 µL of 20x single nucleotide polymorphism genotyping assay mix. PCR cycling was done using an ABI Prism 7900HT sequence detection system under the following conditions: 95°C for 10 min followed by 40 cycles of 92°C for 15 s and 60°C for 1 min. The ABI Prism 7900HT sequence detection system and the ABI sequence detection system software version 2.2 were used for genotype analysis.
Statistical Analysis
Estimates of allele frequencies and tests of deviation from Hardy-Weinberg (H-W) equilibrium were carried out using standard procedures based on asymptotic likelihood theory (11). Fisher's exact test was used to test for independence between the single nucleotide polymorphism and age (<55, 55-64, 65-69), country of birth (Australia or others), family history of prostate cancer (affected first-degree relatives or no affected relatives), and tumor stage (stage I-II, III, or IV). To maintain consistency with the report from deCode (5), Gleason score 5 to 6 tumors were grouped as moderately differentiated, whereas Gleason score 7 tumors were grouped with Gleason score 8 to 10 as poorly differentiated or undifferentiated tumors. Tests for association between genotype and prostate cancer risk were done under codominant and dominant models. Case-control analyses were conducted using unconditional logistic regression (12) to estimate ORs and their 95% confidence intervals (CI). Polytomous logistic regression models were used to estimate ORs by tumor stage, Gleason score, and age at diagnosis. Potential confounders (i.e., country of birth, age, history of smoking, history of prostate cancer in first-degree relatives, and body mass index) were included in the models if they changed the ORs by at least 5%. All statistical analyses were done using Stata/SE 8.2 (Stata Corporation, College Station, TX). We used the likelihood ratio test to assess the relative fits of nested models and the Wald test to assess statistical significance of individual variables. All tests were two-sided and nominal statistical significance was based on P < 0.05.
| Results |
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The genotype distribution was consistent with Hardy-Weinberg equilibrium for cases, controls, and for cases and controls combined (all P > 0.3). There were no significant associations between genotype and country of birth, age, or family history of prostate cancer for either cases or controls (all P
0.05).
The frequency of the A allele was 11% for controls and 15% for cases. The A allele was significantly associated with increased risk of prostate cancer (P from the likelihood ratio test = 0.002 and 0.0005 for the codominant and dominant models, respectively; Table 1 ). The unadjusted OR for men carrying any copy of the A allele, relative to noncarriers, was 1.52 (95% CI, 1.20-1.93). Adjustment for potential confounders did not materially change the OR. Table 2 shows that the proportion of carriers of the A allele was similar for stage I to II (28%), stage III (27%), and stage IV tumors (24%), for Gleason score 5 to 6 (27%) and Gleason score 7 to 10 tumors (28%), and for cases diagnosed at ages <55 years (27%), 55 to 64 years (28%), and 65 to 69 years (27%). As a result, the ORs for prostate cancer did not differ significantly by tumor stage, Gleason score, or age at diagnosis (all P > 0.7), and they were all between 1.24 (95% CI, 0.65-2.37, stage IV tumors) and 1.58 (95% CI, 1.18-2.11, Gleason score 7-10 tumors). The OR for Gleason score 5 to 6 tumors was 1.48 (95% CI, 1.13-1.95).
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| Discussion |
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This study focused on early age at onset and excluded low-grade tumors. Gain in chromosome 8q24 has previously been found in clinically advanced prostate cancers (cT3 and cT4; ref. 13), whereas overrepresentation and amplification of the c-myc gene in 8q24 seems to be associated with poor prognosis (14). In the deCode report, the authors presented ORs for rs1447295 separately for Gleason score 2 to 6 and Gleason score 7 to 10 tumors. Although the difference in ORs was small, they concluded that the rs1447295 variant might have a stronger association with more aggressive forms of prostate cancer (5). Our results do not support this hypothesis and, although we cannot rule out the possibility of small differences in the ORs by Gleason score, the similarity of ORs by tumor stage and Gleason score suggests that genetic variants in 8q24 responsible for the association might have an effect early in carcinogenesis.
The allelic frequency for our control population (11%) was similar to that reported for the Swedish and Icelandic control populations in the deCode study (13% and 11%, respectively; ref. 5). For African-Americans, the allele frequency was reported to be higher (34%) than in the European-based studies, but the association with prostate cancer was weaker (OR, 1.15; P = 0.29; ref. 5). The study of African-Americans was relatively small and further studies are needed to confirm whether the association with prostate cancer differs by ethnicity.
Although our replication of reports regarding rs1447295 clearly shows that genetic variation in 8q24 was associated with prostate cancer risk, the region is large and the priority now is to narrow it down and find the functional variant or group of variants responsible for the association. Until this task is accomplished, the estimates of population-attributable risk such as those provided by Amundadottir and colleagues for the "8" allele of DG8S737 (i.e.,
8% in populations of European ancestry and 16% in African-Americans) might be premature.
| Acknowledgments |
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| Footnotes |
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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.
Note: G. Severi and V.M. Hayes contributed equally to the study.
Received 10/14/06; revised 12/11/06; accepted 12/19/06.
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