Faculty Bibliography

BACKGROUND: Genome-wide association studies have identified multiple genetic variants associated with susceptibility to prostate cancer (PrCa). In the two-stage Cancer Genetic Markers of Susceptibility prostate cancer scan, a single-nucleotide polymorphism (SNP), rs10486567, located within intron 2 of JAZF1 gene on chromosome 7p15.2, showed a promising association with PrCa overall (P=2.14x10(-6)), with a suggestion of stronger association with aggressive disease (P=1.2x10(-7)). METHODS: In the third stage of genome-wide association studies, we genotyped 106 JAZF1 SNPs in 10,286 PrCa cases and 9,135 controls of European ancestry. RESULTS: The strongest association was observed with the initial marker rs10486567, which now achieves genome-wide significance [P=7.79x10(-11); ORHET, 1.19 (95% confidence interval, 1.12-1.27); ORHOM, 1.37 (95% confidence interval, 1.20-1.56)]. We did not confirm a previous suggestion of a stronger association of rs10486567 with aggressive disease (P=1.60x10(-4) for aggressive cancer, n=4,597; P=3.25x10(-8) for nonaggressive cancer, n=4,514). Based on a multilocus model with adjustment for rs10486567, no additional independent signals were observed at chromosome 7p15.2. There was no association between PrCa risk and SNPs in JAZF1 previously associated with height (rs849140; P=0.587), body stature (rs849141, tagged by rs849136; P=0.171), and risk of type 2 diabetes and systemic lupus erythematosus (rs864745, tagged by rs849142; P=0.657). CONCLUSION: rs10486567 remains the most significant marker for PrCa risk within JAZF1 in individuals of European ancestry. IMPACT: Future studies should identify all variants in high linkage disequilibrium with rs10486567 and evaluate their functional significance for PrCa

Osteosarcoma (OS) is a primary bone malignancy that typically occurs in adolescents and young adults. Epidemiologic studies suggest that OS is positively correlated with tall stature and high birth weight. It is common in hereditary retinoblastoma and Li-Fraumeni syndrome. A limited number of pilot studies suggest that single nucleotide polymorphisms (SNPs) in IGF2R, TP53, and VDR may also be associated with OS. Despite these findings, OS etiology is not well understood. Since it occurs during a period of rapid bone growth, genes important in growth and puberty are biologically plausible modifiers of OS risk. Genes in DNA repair and tumor suppressor pathways may also contribute to OS pathogenesis because of their function in critical cellular processes and known contributions to carcinogenesis. We evaluated these hypotheses in an OS association study of candidate genes from the following pathways: growth, hormones/hormone metabolism, bone formation, tumor suppressor, and DNA repair. The study consisted of 99 OS cases from the hospital-based prospective case-control U.S. Bone Disease and Injury Study of Osteosarcoma (BDISO). Controls (n=1430) included cancer-free individuals from BDISO (n=65) and the Prostate, Lung, Colorectal, and Ovarian screening trial (n=1365). All participants were whites from the continental US. We evaluated 4507 tag-SNPs across 282 candidate genes using a Custom Infinium BeadChip (iSelect). Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for the association between OS risk and each SNP, adjusting for potential confounders, using PLINK. Bonferroni corrections (Padj, per gene) were conducted for correction of multiple statistical tests. Significant SNPs after correction with an additive model included 2 SNPs in Growth Hormone 1 (GH1) (OR 0.56, 95% CI 0.39-0.82, and OR 1.55, 95% CI 1.16-2.06, P_adj <0.009), one SNP in FGFR3 (OR 1.47, 95% CI 1.1-1.97, P_adj =0.016), IGFBP3 (OR 5.19, 95% CI 1.18-14.89,!

Molecular epidemiologic studies of vitamin D and risk of cancer and other health outcomes usually involve a single measurement of the biomarker 25-hydroxyvitamin D [25(OH)D] in serum or plasma. However, the extent to which 25(OH)D concentration at a single time point is representative of an individual's long-term vitamin D status is unclear. To address this question, we evaluated within-person variability in 25(OH)D concentrations across serum samples collected at three time points over a 5-year period among 29 participants in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Blood collection took place year-round, although samples for a given participant were collected in the same month each year. The within-person coefficient of variation and intraclass correlation coefficient were calculated using variance components estimated from random effects models. Spearman rank correlation coefficients were calculated to evaluate agreement between measurements at different collection times (baseline, +1 year, +5 years). The within-subject coefficient of variation was 14.9% [95% confidence interval (CI), 12.4-18.1%] and the intraclass correlation coefficient was 0.71 (95% CI, 0.63-0.88). Spearman rank correlation coefficients comparing baseline to +1 year, +1 year to +5 years, and baseline to +5 years were 0.65 (95% CI, 0.37-0.82), 0.61 (0.29-0.81), and 0.53 (0.17-0.77), respectively. Slightly stronger correlations were observed after restricting to non-Hispanic Caucasian subjects. These findings suggest that serum 25(OH)D concentration at a single time point may be a useful biomarker of long-term vitamin D status in population-based studies of various diseases

Insulin and glucose may influence cancer mortality via their proliferative and anti-apoptotic properties. Using longitudinal data from the nationally representative Third National Health and Nutrition Examination Survey (NHANES III; 1988-1994), with an average follow-up of 8.5 years to death, we evaluated markers of glucose and insulin metabolism, with cancer mortality, ascertained using death certificates or the National Death Index. Plasma glucose, insulin, C-peptide, and lipid concentrations were measured. Anthropometrics, lifestyle, medical, and demographic information was obtained during in-person interviews. After adjusting for age, race, sex, smoking status, physical activity, and body mass index, for every 50 mg/dl increase in plasma glucose, there was a 22% increased risk of overall cancer mortality. Insulin resistance was associated with a 41% (95% confidence interval (CI) (1.07-1.87; p = 0.01) increased risk of overall cancer mortality. These associations were stronger after excluding lung cancer deaths for insulin-resistant individuals (HR: 1.67; 95% CI: 1.15-2.42; p = 0.01), specifically among those with lower levels of physical activity (HR: 2.06; 95% CI: 1.4-3.0; p = 0.0001). Similar associations were observed for other blood markers of glucose and insulin, albeit not statistically significant. In conclusion, hyperglycemia and insulin resistance may be 'high-risk' conditions for cancer mortality. Managing these conditions may be effective cancer control tools

The phosphatidylinositol 3-kinase (PI3K) pathway regulates various cellular processes, including cellular proliferation and intracellular trafficking, and may affect prostate carcinogenesis. Thus, we explored the association between single-nucleotide polymorphisms (SNP) in PI3K genes and prostate cancer. Pooled data from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium were examined for associations between 89 SNPs in PI3K genes (PIK3C2B, PIK3AP1, PIK3C2A, PIK3CD, and PIK3R3) and prostate cancer risk in 8,309 cases and 9,286 controls. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated using logistic regression. SNP rs7556371 in PIK3C2B was significantly associated with prostate cancer risk [OR(per allele), 1.08 (95% CI, 1.03-1.14); P(trend) = 0.0017] after adjustment for multiple testing (P(adj) = 0.024). Simultaneous adjustment of rs7556371 for nearby SNPs strengthened the association [OR(per allele), 1.21 (95% CI, 1.09-1.34); P(trend) = 0.0003]. The adjusted association was stronger for men who were diagnosed before the age of 65 years [OR(per allele), 1.47 (95% CI, 1.20-1.79); P(trend) = 0.0001] or had a family history [OR(per allele) = 1.57 (95% CI, 1.11-2.23); P(trend) = 0.0114], and was strongest in those with both characteristics [OR(per allele) = 2.31 (95% CI, 1.07-5.07), P-interaction = 0.005]. Increased risks were observed among men in the top tertile of circulating insulin-like growth factor-I (IGF-I) levels [OR(per allele) = 1.46 (95% CI, 1.04-2.06); P(trend) = 0.075]. No differences were observed with disease aggressiveness (Gleason grade >or=8 or stage T(3)/T(4) or fatal). In conclusion, we observed a significant association between PIK3C2B and prostate cancer risk, especially for familial, early-onset disease, which may be attributable to IGF-dependent PI3K signaling

BACKGROUND: Genetic variation in two members of the Toll-like receptor family, TLR4 and the gene cluster TLR6-1-10, has been implicated in prostate cancer in several studies but the associated alleles have not been consistent across reports. METHODS: We did a pooled analysis combining genotype data from three case-control studies, Cancer of the Prostate in Sweden, the Health Professionals Follow-up Study, and the Prostate, Lung, Colon and Ovarian Cancer Screening Trial, with data from 3,101 prostate cancer cases and 2,523 controls. We did imputation to obtain dense coverage of the genes and comparable genotype data for all cohorts. In total, 58 single nucleotide polymorphisms in TLR4 and 96 single nucleotide polymorphisms in TLR6-1-10 were genotyped or imputed and analyzed in the entire data set. We did a cohort-specific analysis as well as meta-analysis and pooled analysis. We also evaluated whether the analyses differed by age or disease severity. RESULTS: We observed no overall association between genetic variation at the TLR4 and TLR6-1-10 loci and risk of prostate cancer. CONCLUSIONS: Common germ line genetic variation in TLR4 and TLR6-1-10 did not seem to have a strong association with risk of prostate cancer. IMPACT: This study suggests that earlier associations between prostate cancer risk and TLR4 and TLR6-1-10 sequence variants were chance findings. To definitely assess the causal relationship between TLR sequence variants and prostate cancer risk, very large sample sizes are needed

Genes involved in the inflammation pathway have been associated with cancer risk. Genetic variants in the interleukin-6 (IL6) and prostaglandin-endoperoxide synthase-2 (PTGS2, encoding for the COX-2 enzyme) genes, in particular, have been related to several cancer types, including breast and prostate cancers. We conducted a study within the Breast and Prostate Cancer Cohort Consortium to examine the association between IL6 and PTGS2 polymorphisms and breast and prostate cancer risk. Twenty-seven polymorphisms, selected by pairwise tagging, were genotyped on 6292 breast cancer cases and 8135 matched controls and 8008 prostate cancer cases and 8604 matched controls. The large sample sizes and comprehensive single nucleotide polymorphism tagging in this study gave us excellent power to detect modest effects for common variants. After adjustment for multiple testing, none of the associations examined remained statistically significant at P = 0.01. In analyses not adjusted for multiple testing, one IL6 polymorphism (rs6949149) was marginally associated with breast cancer risk (TT versus GG, odds ratios (OR): 1.32; 99% confidence intervals (CI): 1.00-1.74, P(trend) = 0.003) and two were marginally associated with prostate cancer risk (rs6969502-AA versus rs6969502-GG, OR: 0.87, 99% CI: 0.75-1.02; P(trend) = 0.002 and rs7805828-AA versus rs7805828-GG, OR: 1.11, 99% CI: 0.99-1.26; P(trend) = 0.007). An increase in breast cancer risk was observed for the PTGS2 polymorphism rs7550380 (TT versus GG, OR: 1.38, 99% CI: 1.04-1.83). No association was observed between PTGS2 polymorphisms and prostate cancer risk. In conclusion, common genetic variation in these two genes might play at best a limited role in breast and prostate cancers

BACKGROUND: Sexual contact may be the means by which head and neck cancer patients are exposed to human papillomavirus (HPV). METHODS: We undertook a pooled analysis of four population-based and four hospital-based case-control studies from the International Head and Neck Cancer Epidemiology (INHANCE) consortium, with participants from Argentina, Australia, Brazil, Canada, Cuba, India, Italy, Spain, Poland, Puerto Rico, Russia and the USA. The study included 5642 head and neck cancer cases and 6069 controls. We calculated odds ratios (ORs) of associations between cancer and specific sexual behaviours, including practice of oral sex, number of lifetime sexual partners and oral sex partners, age at sexual debut, a history of same-sex contact and a history of oral-anal contact. Findings were stratified by sex and disease subsite. RESULTS: Cancer of the oropharynx was associated with having a history of six or more lifetime sexual partners [OR = 1.25, 95% confidence interval (CI) 1.01, 1.54] and four or more lifetime oral sex partners (OR = 2.25, 95% CI 1.42, 3.58). Cancer of the tonsil was associated with four or more lifetime oral sex partners (OR = 3.36, 95 % CI 1.32, 8.53), and, among men, with ever having oral sex (OR = 1.59, 95% CI 1.09, 2.33) and with an earlier age at sexual debut (OR = 2.36, 95% CI 1.37, 5.05). Cancer of the base of the tongue was associated with ever having oral sex among women (OR = 4.32, 95% CI 1.06, 17.6), having two sexual partners in comparison with only one (OR = 2.02, 95% CI 1.19, 3.46) and, among men, with a history of same-sex sexual contact (OR = 8.89, 95% CI 2.14, 36.8). CONCLUSIONS: Sexual behaviours are associated with cancer risk at the head and neck cancer subsites that have previously been associated with HPV infection

BACKGROUND: Quitting tobacco or alcohol use has been reported to reduce the head and neck cancer risk in previous studies. However, it is unclear how many years must pass following cessation of these habits before the risk is reduced, and whether the risk ultimately declines to the level of never smokers or never drinkers. METHODS: We pooled individual-level data from case-control studies in the International Head and Neck Cancer Epidemiology Consortium. Data were available from 13 studies on drinking cessation (9167 cases and 12 593 controls), and from 17 studies on smoking cessation (12 040 cases and 16 884 controls). We estimated the effect of quitting smoking and drinking on the risk of head and neck cancer and its subsites, by calculating odds ratios (ORs) using logistic regression models. RESULTS: Quitting tobacco smoking for 1-4 years resulted in a head and neck cancer risk reduction [OR 0.70, confidence interval (CI) 0.61-0.81 compared with current smoking], with the risk reduction due to smoking cessation after > or =20 years (OR 0.23, CI 0.18-0.31), reaching the level of never smokers. For alcohol use, a beneficial effect on the risk of head and neck cancer was only observed after > or =20 years of quitting (OR 0.60, CI 0.40-0.89 compared with current drinking), reaching the level of never drinkers. CONCLUSIONS: Our results support that cessation of tobacco smoking and cessation of alcohol drinking protect against the development of head and neck cancer

Single nucleotide polymorphisms (SNPs) in the KLK3 gene on chromosome 19q13.33 are associated with serum prostate-specific antigen (PSA) levels. Recent genome wide association studies of prostate cancer have yielded conflicting results for association of the same SNPs with prostate cancer risk. Since the KLK3 gene encodes the PSA protein that forms the basis for a widely used screening test for prostate cancer, it is critical to fully characterize genetic variation in this region and assess its relationship with the risk of prostate cancer. We have conducted a next-generation sequence analysis in 78 individuals of European ancestry to characterize common (minor allele frequency, MAF >1%) genetic variation in a 56 kb region on chromosome 19q13.33 centered on the KLK3 gene (chr19:56,019,829-56,076,043 bps). We identified 555 polymorphic loci in the process including 116 novel SNPs and 182 novel insertion/deletion polymorphisms (indels). Based on tagging analysis, 144 loci are necessary to tag the region at an r (2) threshold of 0.8 and MAF of 1% or higher, while 86 loci are required to tag the region at an r (2) threshold of 0.8 and MAF >5%. Our sequence data augments coverage by 35 and 78% as compared to variants in dbSNP and HapMap, respectively. We observed six non-synonymous amino acid or frame shift changes in the KLK3 gene and three changes in each of the neighboring genes, KLK15 and KLK2. Our study has generated a detailed map of common genetic variation in the genomic region surrounding the KLK3 gene, which should be useful for fine-mapping the association signal as well as determining the contribution of this locus to prostate cancer risk and/or regulation of PSA expression