Aubrey R. Turner

Cumulative Association of Five Genetic Variants with Prostate Cancer

BACKGROUND Single-nucleotide polymorphisms (SNPs) in five chromosomal regions--three at 8q24 and one each at 17q12 and 17q24.3--have been associated with prostate cancer. Each SNP has only a moderate association, but when SNPs are combined, the association may be stronger. METHODS We evaluated 16 SNPs from five chromosomal regions in a Swedish population (2893 subjects with prostate cancer and 1781 control subjects) and assessed the individual and combined association of the SNPs with prostate cancer. RESULTS Multiple SNPs in each of the five regions were associated with prostate cancer in single SNP analysis. When the most significant SNP from each of the five regions was selected and included in a multivariate analysis, each SNP remained significant after adjustment for other SNPs and family history. Together, the five SNPs and family history were estimated to account for 46% of the cases of prostate cancer in the Swedish men we studied. The five SNPs plus family history had a cumulative association with prostate cancer (P for trend, 3.93x10(-28)). In men who had any five or more of these factors associated with prostate cancer, the odds ratio for prostate cancer was 9.46 (P=1.29x10(-8)), as compared with men without any of the factors. The cumulative effect of these variants and family history was independent of serum levels of prostate-specific antigen at diagnosis. CONCLUSIONS SNPs in five chromosomal regions plus a family history of prostate cancer have a cumulative and significant association with prostate cancer.

Germline mutations and sequence variants of the macrophage scavenger receptor 1 gene are associated with prostate cancer risk

Deletions on human chromosome 8p22–23 in prostate cancer cells and linkage studies in families affected with hereditary prostate cancer (HPC) have implicated this region in the development of prostate cancer. The macrophage scavenger receptor 1 gene (MSR1, also known as SR-A) is located at 8p22 and functions in several processes proposed to be relevant to prostate carcinogenesis. Here we report the results of genetic analyses that indicate that mutations in MSR1 may be associated with risk of prostate cancer. Among families affected with HPC, we identified six rare missense mutations and one nonsense mutation in MSR1. A family-based linkage and association test indicated that these mutations co-segregate with prostate cancer (P = 0.0007). In addition, among men of European descent, MSR1 mutations were detected in 4.4% of individuals affected with non-HPC as compared with 0.8% of unaffected men (P = 0.009). Among African American men, these values were 12.5% and 1.8%, respectively (P = 0.01). These results show that MSR1 may be important in susceptibility to prostate cancer in men of both African American and European descent.

Evidence for two independent prostate cancer risk-associated loci in the HNF1B gene at 17q12.

We carried out a fine-mapping study in the HNF1B gene at 17q12 in two study populations and identified a second locus associated with prostate cancer risk, ∼26 kb centromeric to the first known locus (rs4430796); these loci are separated by a recombination hot spot. We confirmed the association with a SNP in the second locus (rs11649743) in five additional populations, with P = 1.7 × 10−9 for an allelic test of the seven studies combined. The association at each SNP remained significant after adjustment for the other SNP.

Common Sequence Variants of the Macrophage Scavenger Receptor 1 Gene Are Associated with Prostate Cancer Risk

Rare germline mutations of macrophage scavenger receptor 1 (MSR1) gene were reported to be associated with prostate cancer risk in families with hereditary prostate cancer (HPC) and in patients with non-HPC (Xu et al. 2002). To further evaluate the role of MSR1 in prostate cancer susceptibility, at Johns Hopkins Hospital, we studied five common variants of MSR1 in 301 patients with non-HPC who underwent prostate cancer treatment and in 250 control subjects who participated in prostate cancer-screening programs and had normal digital rectal examination and PSA levels (<4 ng/ml). Significantly different allele frequencies between case subjects and control subjects were observed for each of the five variants (P value range.01-.04). Haplotype analyses provided consistent findings, with a significant difference in the haplotype frequencies from a global score test (P=.01). Because the haplotype that is associated with the increased risk for prostate cancer did not harbor any of the known rare mutations, it appears that the observed association of common variants and prostate cancer risk are independent of the effect of the known rare mutations. These results consistently suggest that MSR1 may play an important role in prostate carcinogenesis.

The Interaction of Four Genes in the Inflammation Pathway Significantly Predicts Prostate Cancer Risk

It is widely hypothesized that the interactions of multiple genes influence individual risk to prostate cancer. However, current efforts at identifying prostate cancer risk genes primarily rely on single-gene approaches. In an attempt to fill this gap, we carried out a study to explore the joint effect of multiple genes in the inflammation pathway on prostate cancer risk. We studied 20 genes in the Toll-like receptor signaling pathway as well as several cytokines. For each of these genes, we selected and genotyped haplotype-tagging single nucleotide polymorphisms (SNP) among 1,383 cases and 780 controls from the CAPS (CAncer Prostate in Sweden) study population. A total of 57 SNPs were included in the final analysis. A data mining method, multifactor dimensionality reduction, was used to explore the interaction effects of SNPs on prostate cancer risk. Interaction effects were assessed for all possible n SNP combinations, where n = 2, 3, or 4. For each n SNP combination, the model providing lowest prediction error among 100 cross-validations was chosen. The statistical significance levels of the best models in each n SNP combination were determined using permutation tests. A four-SNP interaction (one SNP each from IL-10, IL-1RN, TIRAP, and TLR5) had the lowest prediction error (43.28%, P = 0.019). Our ability to analyze a large number of SNPs in a large sample size is one of the first efforts in exploring the effect of high-order gene-gene interactions on prostate cancer risk, and this is an important contribution to this new and quickly evolving field.

A Polymorphism in the CDKN1B Gene Is Associated with Increased Risk of Hereditary Prostate Cancer

The loss of cell cycle control is believed to be an important mechanism in the promotion of carcinogenesis. CDKN1B (p27) belongs to the Cip/Kip family and functions as an important cell cycle gatekeeper. Several lines of evidence from clinical studies and laboratory experiments demonstrate that CDKN1B is an important tumor suppressor gene in prostate cancer etiology. In addition, a case-control study has shown that the 326T/G (V109G) polymorphism in CDKN1B is associated with advanced prostate cancer. In light of the evidence for linkage between the chromosomal location of the CDKN1B gene (12p13) and prostate cancer susceptibility in several hereditary prostate cancer (HPC) populations, we hypothesized that sequence variants of CDKN1B play a role in HPC. To test this hypothesis, we first resequenced this gene in 96 HPC probands to identify germ-line mutations and sequence variants. We then genotyped the identified sequence variants among all family members of 188 HPC families and tested for their cosegregation with prostate cancer. In total, 10 sequence variants were identified, including three nonsynonymous changes. A family-based test, which is free from the effects of population stratification, revealed a significant association between single nucleotide polymorphism (SNP) -79C/T and prostate cancer (with a nominal P of 0.0005). The C allele of -79C/T was overtransmitted from parents to their affected offspring. Evidence for this association was primarily contributed by affected offspring whose age at diagnosis was <65 years. Together with the previous association study in a sporadic prostate cancer population, our new findings additionally suggest that germ-line variants of this gene play a role in prostate cancer susceptibility.

Comprehensive assessment of DNA copy number alterations in human prostate cancers using Affymetrix 100K SNP mapping array

Although multiple recurrent chromosomal alterations have been identified in prostate cancer cells, the specific genes driving the apparent selection of these changes remain largely unknown. In part, this uncertainty is due to the limited resolution of the techniques used to detect these alterations. In this study, we applied a high‐resolution genome‐wide method, Affymetrix 100K SNP mapping array, to screen for somatic DNA copy number (CN) alterations among 22 pairs of samples from primary prostate cancers and matched nonmalignant tissues. We detected 355 recurrent deletions and 223 recurrent gains, many of which were novel. As expected, the sizes of novel alterations tend to be smaller. Importantly, among tumors with increasing grade, Gleason sum 6, 7, and 8, we found a significant trend of larger number of alterations in the tumors with higher grade. Overall, gains are significantly more likely to occur within genes (74%) than are deletions (49%). However, when we looked at the most frequent CN alterations, defined as those in ≥4 subjects, we observed that both gains (85%) and deletions (57%) occur preferentially within genes. An example of a novel, recurrent alteration observed in this study was a deletion between the ERG and TMPRSS2 genes on chromosome 21, presumably related to the recently identified fusion transcripts from these two genes. Results from this study provide a basis for a systematic and comprehensive cataloging of CN alterations associated with grades of prostate cancer, and the subsequent identification of specific genes that associated with initiation and progression of the disease. This article contains supplementary material available via the Internet at http://www.interscience.wiley.com/jpages/1045‐2257/suppmat.

Two Independent Prostate Cancer Risk–Associated Loci at 11q13

Single nucleotide polymorphisms (SNP) at 11q13 were recently implicated in prostate cancer risk by two genome-wide association studies and were consistently replicated in multiple study populations. To explore prostate cancer association in the regions flanking these SNPs, we genotyped 31 tagging SNPs in a ∼110 kb region at 11q13 in a Swedish case-control study (Cancer of the Prostate in Sweden), including 2,899 cases and 1,722 controls. We found evidence of prostate cancer association for the previously implicated SNPs including rs10896449, which we termed locus 1. In addition, multiple SNPs on the centromeric side of the region, including rs12418451, were also significantly associated with prostate cancer risk (termed locus 2). The two groups of SNPs were separated by a recombination hotspot. We then evaluated these two representative SNPs in an additional ∼4,000 cases and ∼3,000 controls from three study populations and confirmed both loci at 11q13. In the combined allelic test of all four populations, P = 4.0 × 10−11 for rs10896449 at locus 1 and P = 1.2 × 10−6 for rs12418451 at locus 2, and both remained significant after adjusting for the other locus and study population. The prostate cancer association at these two 11q13 loci was unlikely confounded by prostate-specific antigen (PSA) detection bias because neither SNP was associated with PSA levels in controls. Unlike locus 1, in which no known gene is located, several putative mRNAs are in close proximity to locus 2. Additional confirmation studies at locus 2 and functional studies for both loci are needed to advance our knowledge on the etiology of prostate cancer. (Cancer Epidemiol Biomarkers Prev 2009;18(6):1815–20)

Polymorphisms in the CYP1A1 gene are associated with prostate cancer risk

CYP1A1 is likely to play an important role in the etiology of CaP through its function in activating environmental procarcinogens and catalyzing the oxidative metabolites of estrogens. To test the hypothesis that genetic polymorphisms in the CYP1A1 gene may be associated with the risk for CaP, we compared the allele, genotype and haplotype frequencies of 3 SNPs (3801T>C, 2455A>G and 2453C>A) of CYP1A1 among 159 HPC probands, 245 sporadic CaP cases and 222 unaffected men. Two SNPs (3801T>C and 2455A>G) were each individually associated with CaP risk when the allele and genotype frequencies were compared between CaP patients and unaffected controls. Furthermore, a combined SNP analysis using a haplotype approach revealed an even stronger association in Caucasians. Specifically, 4 major haplotypes (T‐A‐C, C‐A‐C, C‐G‐C and T‐A‐A) accounted for 99.8% of all observed haplotypes. These 4 haplotypes correspond to the previously described nomenclature (CYP1A1*1A, CYP1A1*2A, CYP1A1*2B and CYP1A1*4). The frequencies of these 4 haplotypes were significantly different among CaP patients and controls. The haplotype T‐A‐C (CYP1A1*1A) was significantly associated with increased risk for CaP, and the haplotype C‐A‐C (CYP1A1*2A) was significantly associated with decreased risk for CaP. These findings suggest that genetic polymorphisms in CYP1A1 may modify the risk for CaP.

Identification of novel CHD1-associated collaborative alterations of genomic structure and functional assessment of CHD1 in prostate cancer.

A clearer definition of the molecular determinants that drive the development and progression of prostate cancer (PCa) is urgently needed. Efforts to map recurrent somatic deletions in the tumor genome, especially homozygous deletions (HODs), have provided important positional information in the search for cancer-causing genes. Analyzing HODs in the tumors of 244 patients from two independent cohorts and 22 PCa xenografts using high-resolution single-nucleotide polymorphism arrays, herein we report the identification of CHD1, a chromatin remodeler, as one of the most frequently homozygously deleted genes in PCa, second only to PTEN in this regard. The HODs observed in CHD1, including deletions affecting only internal exons of CHD1, were found to completely extinguish the expression of mRNA of this gene in PCa xenografts. Loss of this chromatin remodeler in clinical specimens is significantly associated with an increased number of additional chromosomal deletions, both hemi- and homozygous, especially on 2q, 5q and 6q. Together with the deletions observed in HEK293 cells stably transfected with CHD1 small hairpin RNA, these data suggest a causal relationship. Downregulation of Chd1 in mouse prostate epithelial cells caused dramatic morphological changes indicative of increased invasiveness, but did not result in transformation. Indicating a new role of CHD1, these findings collectively suggest that distinct CHD1-associated alterations of genomic structure evolve during and are required for the development of PCa.