Suggestive evidence for a site specific prostate cancer gene on chromosome 1p36. The CRC/BPG UK Familial Prostate Cancer Study Coordinators and Collaborators. The EU Biomed Collaborators

Identification of Germline Genetic Variants that Increase Prostate Cancer Risk and Influence Development of Aggressive Disease

Prostate cancer (PrCa) is a heterogeneous disease, which presents in individual patients across a diverse phenotypic spectrum ranging from indolent to fatal forms. No robust biomarkers are currently available to enable routine screening for PrCa or to distinguish clinically significant forms, therefore late stage identification of advanced disease and overdiagnosis plus overtreatment of insignificant disease both remain areas of concern in healthcare provision. PrCa has a substantial heritable component, and technological advances since the completion of the Human Genome Project have facilitated improved identification of inherited genetic factors influencing susceptibility to development of the disease within families and populations. These genetic markers hold promise to enable improved understanding of the biological mechanisms underpinning PrCa development, facilitate genetically informed PrCa screening programmes and guide appropriate treatment provision. However, insight remains largely lacking regarding many aspects of their manifestation; especially in relation to genes associated with aggressive phenotypes, risk factors in non-European populations and appropriate approaches to enable accurate stratification of higher and lower risk individuals. This review discusses the methodology used in the elucidation of genetic loci, genes and individual causal variants responsible for modulating PrCa susceptibility; the current state of understanding of the allelic spectrum contributing to PrCa risk; and prospective future translational applications of these discoveries in the developing eras of genomics and personalised medicine.

Prostate Cancer Germline Variations and Implications for Screening and Treatment

Prostate cancer (PCa) is a highly heritable disease, and rapid evolution of sequencing technologies has enabled marked progression of our understanding of its genetic inheritance. A complex polygenic model that involves common low-penetrance susceptibility alleles causing individually small but cumulatively significant risk and rarer genetic variants causing greater risk represent the current most accepted model. Through genome-wide association studies, more than 100 single-nucleotide polymorphisms (SNPs) associated with PCa risk have been identified. Consistent reports have identified germline mutations in the genes BRCA1, BRCA2, MMR, HOXB13, CHEK2, and NBS1 as conferring moderate risks, with some leading to a more aggressive disease behavior. Considering this knowledge, several research strategies have been developed to determine whether targeted prostate screening using genetic information can overcome the limitations of population-based prostate-specific antigen (PSA) screening. Germline DNA-repair mutations are more frequent in men with metastatic disease than previously thought, and these patients have a more favorable response to therapy with poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) inhibitors. Genomic information is a practical tool that has the potential to enable the concept of precision medicine to become a reality in all steps of PCa patient care.

The genetic epidemiology of prostate cancer and its clinical implications

Worldwide, familial and epidemiological studies have generated considerable evidence of an inherited component to prostate cancer. Indeed, rare highly penetrant genetic mutations have been implicated. Genome-wide association studies (GWAS) have also identified 76 susceptibility loci associated with prostate cancer risk, which occur commonly but are of low penetrance. However, these mutations interact multiplicatively, which can result in substantially increased risk. Currently, approximately 30% of the familial risk is due to such variants. Evaluating the functional aspects of these variants would contribute to our understanding of prostate cancer aetiology and would enable population risk stratification for screening. Furthermore, understanding the genetic risks of prostate cancer might inform predictions of treatment responses and toxicities, with the goal of personalized therapy. However, risk modelling and clinical translational research are needed before we can translate risk profiles generated from these variants into use in the clinical setting for targeted screening and treatment.

Characterization of germline copy number variation in high-risk African American families with prostate cancer

BACKGROUND

Prostate cancer is a complex multi-allelic disease and the most common malignancy in men. The incidence of prostate cancer in African American men is more than twice as high as that of any other race. Despite the high prevalence of prostate cancer amongst African American men, this population has been under represented in genetic studies of prostate cancer. Although genomic copy number variations (CNVs) have been detected in prostate tumors, this is the first study describing germline CNVs in African American hereditary prostate cancer families.

METHODS

Ten high-risk African American families with three or more affected individuals and with an early age of onset were recruited. From these families, 37 individuals, including 23 affected males, and 14 unaffected males, were selected for CNV analysis. Array comparative genomic hybridization was used to characterize germline CNVs unique to African American men with hereditary prostate cancer.

RESULTS

Through common aberration analysis in affected family members; novel CNVs were identified at chromosomes 1p36.13 and 16q23.3. Differential analysis comparing affected and unaffected family members identified 9.4 kb duplication on chromosome 14q32.33 which segregate with prostate cancer patients in these high-risk families.

CONCLUSIONS

The duplication at 14q32.33 encompasses IGHG3 gene which has been shown to have both significant gains in copy number as well as overexpression in prostate tumors in African Americans. These CNVs may represent a component of genetic predisposition which contributes to the high prevalence and mortality of prostate cancer in African American men.

Splice variant PRKC-ζ(-PrC) is a novel biomarker of human prostate cancer

Background:

Previously, using gene-knockdown techniques together with genome expression array analysis, we showed the gene protein Kinase C (PKC)-zeta (PRKCZ) to mediate the malignant phenotype of human prostate cancer. However, according to NCBI, the gene has undergone several major iterations. Therefore, to understand the relationship between its structure and biological activities, we have analysed its expressed sequence in prostate cancer cell lines and tissues.

Methods:

Transcriptome-walking and targeted PCR were used to sequence the mRNA transcribed from PRKCZ. Hydropathy analysis was employed to analyse the hypothetical protein sequence subsequently translated and to identify an appropriate epitope to generate a specific monoclonal antibody.

Results:

A novel sequence was identified within the 3′-terminal domain of human PRKCZ that, in prostate cancer cell lines and tissues, is expressed during transcription and thereafter translated into protein (designated PKC-ζ_-PrC) independent of conventional PKC-ζ_-a. The monoclonal antibody detected expression of this 96 kD protein only within malignant prostatic epithelium.

Interpretation:

Transcription and translation of this gene sequence, including previous intronic sequences, generates a novel specific biomarker of human prostate cancer. The presence of catalytic domains characteristic of classic PKC-β and atypical PKC-ι within PKC-ζ_-PrC provides a potential mechanism for this PRKCZ variant to modulate the malignant prostatic phenotype out-with normal cell-regulatory control.

Genome-wide linkage analyses of hereditary prostate cancer families with colon cancer provide further evidence for a susceptibility locus on 15q11-q14

The search for susceptibility loci in hereditary prostate cancer (HPC) is challenging because of locus and disease heterogeneity. One approach to reduce disease heterogeneity is to stratify families on the basis of the occurrence of multiple cancer types. This method may increase the power for detecting susceptibility loci, including those with pleiotropic effects. We have completed a genome-wide SNP linkage analysis of 96 HPC families, each of which has one or more first-degree relatives with colon cancer (CCa), and further analyzed the subset of families with two or more CCa cases (n = 27). When only a prostate cancer (PCa) phenotype was considered to be affected, we observed suggestive evidence for linkage (LOD ≥1.86) at 15q14, 18q21 and 19q13 in all families, and at 1p32 and 15q11-q14 in families with two or more CCa cases. When both the PCa and CCa phenotypes were considered affected, suggestive evidence for linkage was observed at 11q25, 15q14 and 18q21 in all families, and at 1q31, 11q14 and 15q11-14 in families with two or more CCa cases. The strongest linkage signal was identified at 15q14 when both PCa and CCa phenotypes were considered to be affected in families with two or more CCa cases (recessive HLOD = 3.88). These results provide further support for the presence of HPC susceptibility loci on chromosomes 11q14, 15q11-q14 and 19q13 and highlight loci at 1q31, 11q, 15q11-14 and 18q21 as having possible pleiotropic effects. This study shows the benefit of using a comprehensive family cancer history to create more genetically homogenous subsets of HPC families for linkage analyses.

Suggestive genetic linkage to chromosome 11p11.2-q12.2 in hereditary prostate cancer families with primary kidney cancer

BACKGROUND

The Seattle-based PROGRESS study was started in 1995 to ascertain hereditary prostate cancer (HPC) families for studies of genetic susceptibility. Subsequent studies by several research groups, including our own, suggest that HPC is a genetically heterogeneous disease. To be successful in mapping loci for such a complex disease, one must consider ways of grouping families into subsets that likely share the same genetic origin. Towards that end, we analyzed a genome-wide scan of HPC families with primary kidney cancer.

METHODS

An 8.1 cM genome-wide scan including 441 microsatellite markers was analyzed by both parametric and non-parametric linkage approaches in fifteen HPC families with the co-occurrence of kidney cancer.

RESULTS

There was no evidence for significant linkage in the initial findings. However, two regions of suggestive linkage were observed at 11q12 and 4q21, with HLOD scores of 2.59 and 2.10, respectively. The primary result on chromosome 11 was strengthened after excluding two families with members who had rare transitional cell carcinoma (TCC). Specifically, we observed a non-parametric Kong and Cox P-value of 0.004 for marker D11S1290 at 11p11.2. The 8 cM region between 11p11.2 and 11q12.2 was refined by the addition of 16 new markers. The subset of HPC families with a median age of diagnosis >65 years demonstrated the strongest evidence for linkage, with an HLOD = 2.50. The P-values associated with non-parametric analysis ranged from 0.004 to 0.05 across five contiguous markers.

CONCLUSIONS

Analysis of HPC families with members diagnosed with primary renal cell carcinoma demonstrates suggestive linkage to chromosome 11p11.2-q12.2.

Finding prostate cancer susceptibility genes

Prostate cancer is a heterogeneous disease with multiple loci contributing to susceptibility. Traditionally, genome-wide scans using high-risk families have utilized stratification by number of affected individuals, family history of other cancers, or family age at diagnosis to improve genetic homogeneity. In addition to locus heterogeneity, for later onset diseases such as prostate cancer, a major limitation to mapping efforts is that key parental DNA samples are rarely available. The lack of available samples from upper generations reduces inheritance information, and as a result, the standard 10-cM genome scan does not provide full power to detect linkage. To increase the ability to find disease-associated loci, much denser genome-wide scans must be undertaken in multiple ethnic groups. In addition, new ways of defining homogenous subsets of families need to be developed.

Unravelling the genetics of prostate cancer

This review describes what is currently known about the genetics of prostate cancer. Traditionally, the genetics of a suspected inherited cancer predisposition have generally been thought of in terms of a single, high-risk gene with a dominant mode of inheritance. Such a gene might be observed in families, as has been documented in familial breast cancer (BRCA1/2), familial colorectal cancer (HNPCC), retinoblastoma (RB1), and Wilms tumor (WT1). This review investigates the evidence for the existence, first of familial prostate cancer, and second, for the presence of such a high-risk gene in those families by epidemiological and experimental approaches. Another current area of interest in prostate cancer is the investigation of the contribution of common lower penetrance genes to the disease. This alternative approach has become popular, as it raises the issue of frequently seen genetic variations such as single nucleotide polymorphisms (SNPs) having relevance to the risk of developing the disease. Finally, this article will explore the way forward, with emphasis on worldwide collaboration from teams attempting to find the genes responsible for the disease and investment in new technologies that will aid in their discovery.

The clinical genetics of prostate cancer

Prostate cancer is the most common cancer in men and the second highest cause of cancer-related mortality in the U.K. A genetic component in predisposition to prostate cancer has been recognized for decades. One of the strongest epidemiological risk factors for prostate cancer is a positive family history. The hunt for the genes that predispose to prostate cancer in families has been the focus of many research groups worldwide for the past 10 years. Both epidemiological and twin studies support a role for genetic predisposition to prostate cancer. Familial cancer loci have been found, but the genes that cause familial prostate cancer remain largely elusive. Unravelling the genetics of prostate cancer is challenging and is likely to involve the analysis of numerous predisposition genes. Current evidence supports the hypothesis that excess familial risk of prostate cancer could be due to the inheritance of multiple moderate-risk genetic variants. Although research on hereditary prostate cancer has improved our knowledge of the genetic aetiology of the disease, a lot of questions still remain unanswered.

This article explores the current evidence that there is a genetic component to the aetiology of prostate cancer and attempts to put into context the diverse findings that have been shown to be possibly associated with the development of hereditary prostate cancer. Linkage searches over the last decade are summarised. It explores issues as to why understanding the genetics of prostate cancer has been so difficult and why despite this, it is still a major focus of research. Finally, current and future management strategies of men with Hereditary Prostate Cancer (HPC) are discussed.

Identification of a prostate cancer susceptibility locus on chromosome 7q11-21 in Jewish families

Results from over a dozen prostate cancer susceptibility genome-wide scans, encompassing some 1,500 hereditary prostate cancer families, indicate that prostate cancer is an extremely heterogeneous disease with multiple loci contributing to overall susceptibility. In an attempt to reduce locus heterogeneity, we performed a genomewide linkage scan for prostate cancer susceptibility genes with 36 Jewish families, which represent a stratification of hereditary prostate cancer families with potentially increased locus homogeneity. The 36 Jewish families represent a combined dataset of 17 Jewish families from the Fred Hutchinson Cancer Research Center-based Prostate Cancer Genetic Research Study dataset and 19 Ashkenazi Jewish families collected at Johns Hopkins University. All available family members, including 94 affected men, were genotyped at markers distributed across the genome with an average interval of <10 centimorgans. Nonparametric multipoint linkage analyses were the primary approach, although parametric analyses were performed as well. Our strongest signal was a significant linkage peak at 7q11-21, with a nonparametric linkage (NPL) score of 3.01 (P = 0.0013). Simulations indicated that this corresponds to a genomewide empirical P = 0.006. All other regions had NPL P values >/=0.02. After genotyping additional markers within the 7q11-21 peak, the NPL score increased to 3.35 (P = 0.0004) at D7S634 with an allele-sharing logarithm of odds of 3.12 (P = 0.00007). These studies highlight the utility of analyzing defined sets of families with a common origin for reducing locus heterogeneity problems associated with studying complex traits.

Genomewide linkage analysis of familial prostate cancer in the Japanese population

Prostate cancer (PC) is one of the most common causes of cancer mortality in Western countries, and familial aggregation of PC is well known. Multiple PC susceptibility loci have been reported in Western countries, but attempts to confirm the loci in independent data sets have proven to be inconsistent. We performed a genomewide linkage analysis with 53 affected sib pairs to identify genetic loci related to PC in a Japanese population. Two linkage analyses, GENEHUNTER-PLUS and SIBPAL, were applied and detected nominal statistical significance of linkage to PC at chromosome 1p and 8p, which were reported as being loci for PC in Caucasians. The best evidence of linkage was detected near D8S550 on 8p23 (maximum Zlr=2.25, P=0.037), and the second-best evidence of linkage was observed near D1S2667 on 1p36 (maximum Zlr=2.24, P=0.034). This is the first genetic mapping of PC in Japanese, and the results suggest that susceptibilities to PC lie close to D8S550 on 8p23 and D1S2667 on 1p36.

Genomic scan of 254 hereditary prostate cancer families

Hereditary prostate cancer (HPC) is a genetically heterogeneous disease, complicating efforts to map and clone susceptibility loci. We have used stratification of a large dataset of 254 HPC families in an effort to improve power to detect HPC loci and to understand what types of family features may improve locus identification. The strongest result is that of a dominant locus at 6p22.3 (heterogeneity LOD (HLOD) = 2.51), the evidence for which is increased by consideration of the age of PC onset (HLOD = 3.43 in 214 families with median age-of-onset 56-72 years) and co-occurrence of primary brain cancer (HLOD = 2.34 in 21 families) in the families. Additional regions for which we observe modest evidence for linkage include chromosome 7q and 17p. Only weak evidence of several previously implicated HPC regions is detected. These analyses support the existence of multiple HPC loci, whose presence may be best identified by analyses of large, including pooled, datasets which consider locus heterogeneity.

Decreased expression of DFF45/ICAD is correlated with a poor prognosis in patients with esophageal carcinoma

BACKGROUND

DNA fragmentation factor 45 (DFF45)/inhibotor of caspase activated DNAse (ICAD) forms a complex with DFF40/CAD and inhibits its DNA cleaving function during apoptosis. DFF45 also functions as a chaperone for native DFF40 and is necessary for its function. It has been indicated that defects in the apoptotic pathway may exist in neoplastic cells.

METHODS

The authors investigated mRNA expression of DFF45 in a series of 46 esophageal squamous cell carcinoma (ESCC) specimens using polymerase chain reaction amplification. The results were correlated with the patients' clinicopathologic characteristics.

RESULTS

DFF45 mRNA expression was significantly lower in tumors with higher pathologic stage, higher tumor status (T status), lymph node metastasis, or more extensive lymphatic invasion. Patients who had low DFF45 mRNA expression (indicated by the ratio of DFF45 mRNA expression in tumor to DFF45 mRNA expression in normal esophageal mucosa [tumor:normal] < 1) had a significantly shorter survival after undergoing surgery compared with patients who had high DFF45 mRNA expression (tumor:normal > 1, P = 0.0006; log-rank test, P = 0.0003; median follow-up, 14.6 months).

CONCLUSIONS

Patients with ESCC with decreased DFF45 mRNA expression levels had a poor prognosis compared with patients who had high DFF45 mRNA expression levels.

Hereditary prostate cancer: clinical aspects

PURPOSE

We review the current epidemiological and genetic knowledge regarding hereditary prostate cancer, and outline its clinical implications.

MATERIALS AND METHODS

Published articles on hereditary prostate cancer were identified using the MEDLINE data base.

RESULTS

A risk of prostate cancer, particularly early onset disease, is strongly affected by family history (number of relatives with prostate cancer and their age at diagnosis). A family history of prostate cancer increases the positive predictive value of prostate specific antigen testing and, hence, heredity should always be assessed when deciding whether to perform biopsies in a man with a prostate specific antigen level of 3 to 10 ng./ml. Epidemiological studies indicate that dominantly inherited susceptibility genes with high penetrance cause 5% to 10% of all prostate cancer cases, and as much as 30% to 40% of early onset disease. More than a half dozen chromosome loci that may comprise such genes have been mapped, but as of May 2002 no prostate cancer susceptibility gene of major importance had been cloned. Most likely, environmental factors and comparatively common variants of several other genes affect prostate cancer risk in families with or without multiple cases of the disease. On average, hereditary prostate cancer is diagnosed 6 to 7 years earlier than sporadic prostate cancer, but does not otherwise differ clinically from the sporadic form. As a consequence of the earlier onset, a greater proportion of men with hereditary prostate cancer die of the disease than those with nonhereditary prostate cancer. At present, the only clinically applicable measure to reduce prostate cancer mortality in families with hereditary disease is screening, with the aim of diagnosing the disease when it is still in a curable stage.

CONCLUSIONS

Hereditary susceptibility is now considered the strongest risk factor for prostate cancer and has profound clinical importance. The genetic mechanism behind such susceptibility has turned out to be more complex than initially thought, and will probably not be completely understood for many years to come.

Perspective: prostate cancer susceptibility genes

In many developed countries, prostate cancer is the most frequently diagnosed malignancy in men. The extent to which the marked racial/ethnic difference in its incidence rate is attributable to screening methods, environmental, hormonal, and/or genetic factors remains unknown. A positive family history is among the strongest epidemiological risk factors for prostate cancer. It is now well recognized that association of candidate genetic markers to this multifactorial malignancy is more difficult than the identification of susceptibility genes for some common cancers such as breast, ovary, and colon cancer. Several reasons may explain such a difficulty: 1) prostate cancer is diagnosed at a late age, thus often making it impossible to obtain DNA samples from living affected men for more than one generation; 2) the presence within high-risk pedigrees of phenocopies, associated with the lack of distinguishing features between hereditary and sporadic forms; and 3) the genetic heterogeneity of this complex disease along with the accompanying difficulty of developing appropriate statistical transmission models taking into account simultaneously multiple susceptibility genes, frequently showing moderate or low penetrance. Despite the localization of seven susceptibility loci, there has been limited confirmatory evidence of linkage for currently known candidate genes. Nonetheless, the discovery of the first prostate cancer susceptibility gene characterized by positional cloning, ELAC2 was achieved taking advantage of the Utah Family Resource. Moreover, common missense mutations in the ELAC2 gene were found to be significantly associated with an increased risk of diagnosis of prostate cancer in some studies. More recently, recombination map-ping and candidate gene analysis were used to map several genes, including the 2'-5'-oligoadenylate-dependent ribonuclease L (RNASEL) gene, to the critical region of HPC1. Two deleterious mutations in RNASEL segregate independently with the disease in two of the eight HPC1-linked families. Additional studies using larger cohorts are needed to fully evaluate the role of these two susceptibility genes in prostate cancer risk. Although a number of rare highly penetrant loci contribute to the Mendelian inheritance of prostate cancer, some of the familial risks may be due to shared environment and more specifically to common low-penetrance genetic variants. In this regard, it is not surprising that analyses of genes encoding key proteins involved in androgen biosynthesis and action, led to the observation of a significant association between a susceptibility to prostate cancer and common genetic variants, such as those found in 5alpha-reductase type 2 and AR genes.

Germline mutations in the p73 gene do not predispose to familial prostate-brain cancer

BACKGROUND

Analysis of high-risk prostate cancer (PC) families with at least one confirmed case of primary brain cancer (BC) has identified a region of genetic linkage on chromosome 1p36 termed CAPB. The p36 region of chromosome one has been reported to have frequent loss of heterozygosity (LOH) in brain and central nervous system (CNS) tumors and epidemiological studies have shown an increased relative risk of BC and tumors of the CNS in PC families. In 1997 a reported tumor suppressor with high homology to p53, termed p73, was mapped to the p36 region of chromosome one. Here, we examine the p73 gene as a potential candidate for CAPB.

METHODS

Ninety-four members from the 12 prostate-brain cancer families in which linkage was originally found were examined. The complete coding region and intron-exon boundaries of the p73 gene were analyzed for germline mutations by Single Stranded Conformational Polymorphism analysis (SSCP) and direct DNA sequencing.

RESULTS

Silent nucleotide substitutions only were detected within the coding regions of the gene in affected individuals. Nucleotide changes were detected in introns 1, 6, 8, 9, and 10, but all were located >or=16 base pairs from the splice site, and are thus unlikely to be deleterious mutations.

CONCLUSIONS

Germline mutations in the p73 gene are unlikely to be critical for inherited susceptibility to PC in this specified subset of families.