| Literature DB >> 20606679 |
G Severi1, B A Shannon, H N Hoang, L Baglietto, D R English, J L Hopper, J Pedersen, M C Southey, R Sinclair, R J Cohen, G G Giles.
Abstract
BACKGROUND: Recent studies in prostatic tissue suggest that Propionibacterium acnes (P. acnes), a bacterium associated with acne that normally lives on the skin, is the most prevalent bacterium in the prostate and in men with benign prostatic hyperplasia. Its prevalence is higher in samples from patients subsequently diagnosed with prostate cancer. The aim of our study was to test whether circulating levels of P. acnes antibodies are associated with prostate cancer risk and tumour characteristics using plasma samples from a population-based case-control study.Entities:
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Year: 2010 PMID: 20606679 PMCID: PMC2920014 DOI: 10.1038/sj.bjc.6605757
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Characteristics of participants in the Australian Risk Factors for Prostate Cancer Study
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| <55 years | 113 (14) | 111 (19) |
| 55–59 years | 194 (24) | 98 (17) |
| 60–69 years | 502 (62) | 375 (64) |
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| Australia | 567 (70) | 383 (66) |
| Overseas | 241 (30) | 200 (34) |
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| No | 641 (79) | 456 (78) |
| Yes | 167 (21) | 125 (22) |
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| Not obvious | 735 (91) | 518 (89) |
| Obvious | 27 (3) | 28 (5) |
| Uncertain (beard) | 35 (4) | 37 (6) |
The number of missing values for cases and controls were: 1 and 1 for country of birth; 1 and 3 for self-reported history of acne in adolescence; 12 and 1 for facial acne scarring.
Figure 1Distribution of P.acnes antibody titres for prostate cancer cases and controls from the Australian Risk Factors for Prostate Cancer Study.
Odds ratios (OR) and 95% confidence intervals (95% CI)a for prostate cancer for P.acnes antibody titres in the Risk Factors for Prostate Cancer Study
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| <1 : 1024 | 402 | 252 | Reference | 0.005 | Reference | Reference | 0.07 | Reference | Reference | 0.8 |
| ⩾1 : 1024 | 407 | 332 | 0.73 (0.58–0.91) | 0.79 (0.62–1.01) | 0.59 (0.43–0.81) | 0.72 (0.56–0.91) | 0.75 (0.54–1.04) | |||
| (Doubling concentration) | 809 | 584 | 0.94 (0.89–0.99) | 0.03 | 0.96 (0.90–1.01) | 0.91 (0.85–0.98) | 0.2 | 0.94 (0.89–0.99) | 0.96 (0.89–1.03) | 0.6 |
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| 1st tertile (<1 : 512) | 229 | 159 | Reference | 0.06 | Reference | Reference | 0.6 | 0.7 | ||
| 2nd tertile (1 : 512– 1 : 2048) | 303 | 195 | 1.00 (0.76–1.34) | 1.00 (0.74–1.37) | 1.00 (0.68–1.48) | 1.03 (0.76–1.39) | 0.93 (0.61–1.41) | |||
| 3rd tertile (>1 : 2048) | 277 | 230 | 0.80 (0.60–1.06) | 0.84 (0.62–1.14) | 0.71 (0.48–1.05) | 0.78 (0.58–1.06) | 0.83 (0.55–1.25) | |||
Estimates from logistic regression analyses adjusted for batch, reference age (<55, 55–59,60–69), study centre (Melbourne and Perth), selection year (1994, 1995, 1996, 1997).
Four cases had missing stage.
Moderate: Gleason score 5–7 or moderately differentiated tumours. High: Gleason score 8–10 or poorly differentiated or undifferentiated tumours.
Likelihood ratio test. For the analysis by the median and by tertiles the test is based on the pseudo-continuous variable.
Test for homogeneity of ORs across categories of tumour stage or grade.