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Markers for Detection of Prostate Cancer

Cancers 2010, 2(2), 1198-1220; doi:10.3390/cancers2021198

Review
Inflammatory Genetic Markers of Prostate Cancer Risk
Elizabeth A. Tindall 1,2, Vanessa M. Hayes 1,2 and Desiree C. Petersen 1,*
1
Cancer Genetics Group, Children’s Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, University of New South Wales, PO Box 81, Randwick, NSW 2031, Australia; E-Mails: etindall@ccia.unsw.edu.au (E.A.T.); vhayes@ccia.unsw.edu.au (V.M.H.)
2
University of New South Wales, Kensington Campus, Sydney, NSW 2052, Australia
*
Author to whom correspondence should be addressed; E-Mail: dpetersen@ccia.unsw.edu.au; Tel.: +61-2-9385-1550; Fax: +61-2-9662-6583.
Received: 6 May 2010; in revised form: 24 May 2010 / Accepted: 1 June 2010 /
Published: 8 June 2010

Abstract

: Prostate cancer is the most common cancer in Western society males, with incidence rates predicted to rise with global aging. Etiology of prostate cancer is however poorly understood, while current diagnostic tools can be invasive (digital rectal exam or biopsy) and/or lack specificity for the disease (prostate-specific antigen (PSA) testing). Substantial histological, epidemiological and molecular genetic evidence indicates that inflammation is important in prostate cancer pathogenesis. In this review, we summarize the current status of inflammatory genetic markers influencing susceptibility to prostate cancer. The focus will be on inflammatory cytokines regulating T-helper cell and chemokine homeostasis, together with the Toll-like receptors as key players in the host innate immune system. Although association studies indicating a genetic basis for prostate cancer are presently limited mainly due to lack of replication, larger and more ethnically and clinically defined study populations may help elucidate the true contribution of inflammatory gene variants to prostate cancer risk.
Keywords:
prostate cancer; inflammation; Toll like receptor (TLR); cytokine; chemokine; gene variant; inherited susceptibility

1. Introduction

The most recent statistics available from the USA. reveal prostate cancer is now the most frequently diagnosed malignancy in men [1]. World-wide, prostate cancer is the second most commonly diagnosed male malignancy and sixth leading cause of cancer-related male death, equating to a considerable global health burden [2]. Despite this vast prevalence, the number of known risk factors is limited, providing little insight into elucidating which men will be susceptible to developing the disease. The three most significant prostate cancer risk factors to date include increased age, African ancestry and a family history of the disease, with the latter supporting a genetic contribution to prostate cancer risk. Also emerging as a potential mediator of prostate cancer pathogenesis is inflammation.

Despite rising epidemiological evidence linking inflammation and prostate cancer, including an increased risk associated with prior exposure to sexually transmitted infections (STIs) [3,4], the occurrence of clinically diagnosed chronic inflammation of the prostate (prostatitis) [5,6] and an inverse correlation with the use of non-steroidal anti-inflammatory drugs (NSAIDs) [7,8], the precise mechanisms of inflammatory involvement are yet to be determined. In light of a general belief that solid tumor development is a multi-stage process, it has been proposed that regions of chronic inflammation that are coupled with focal atrophy known as proliferative inflammatory atrophy (PIA), may be a pre-cursor to prostate cancer development [9]. The etiology of these lesions, and whether they are likely to act directly by morphing with cancerous cells or indirectly via migration with high grade prostatic intraepithelial neoplasia (HGPIN), are points of debate. Regardless of the etiology (i.e., infectious or non-infectious) of the inflammatory response, chronic inflammation can incite carcinogenesis by inducing proliferative events and post-translational DNA modifications by enhancing the secretion of growth factors such as cytokines and chemokines and inducing oxidative stress by the release of nitric oxide (NO) and reactive oxygen species (ROS) [10]. These inflammatory induced somatic modifications may be responsible for the progression from chronic inflammation of the prostate (prostatitis) to prostate carcinogenesis (Figure 1).

The inflammatory network is a complex interaction of genes and transcription factors involved in both the relatively non-specific innate immune system and the more targeted adaptive immune system. Mounting an effective immune response relies heavily on a balanced and monitored production of proteins involved in these specific pathways. Given that prostate cancer has been defined as having one of the strongest familial links of all human cancers, it has been hypothesized that genes involved in mediating, inhibiting or maintaining a host immune response may contribute to prostate cancer development and predisposition to prostate cancer risk.

In this review, we focus on inherited gene variants within key inflammatory genes that have been associated with a varied susceptibility to prostate cancer development. We discuss evidence to support this proposed hypothesis based on genome-wide association studies (GWAS) and family linkage studies, as well as large-scale and more targeted candidate gene analysis. The latter includes the toll-like receptor (TLR) family (innate immune response) and T helper (Th) influencing cytokines and chemokines (adaptive immune response).

Cancers 02 01198 g001 1024
Figure 1. Multi-step process of prostate cancer development. Under normal conditions, Th cytokines are maintained in a homeostatic state via self-regulating mechanisms and angiostatic chemokines are predominant. Regions of PIA are frequently associated with inflammation, possibly triggered by an infectious agent. The inflammatory response induces TLR-expressing inflammatory cells, which mediate cell proliferation and increase cytokine and chemokine production. As the inflammatory response progresses, self-regulating mechanisms fail leading to an overproduction of Treg, Th17 cytokines and angiogenic chemokines, which enhance DNA damage, cell proliferation and angiogenesis, promoting prostate cancer progression.

Click here to enlarge figure

Figure 1. Multi-step process of prostate cancer development. Under normal conditions, Th cytokines are maintained in a homeostatic state via self-regulating mechanisms and angiostatic chemokines are predominant. Regions of PIA are frequently associated with inflammation, possibly triggered by an infectious agent. The inflammatory response induces TLR-expressing inflammatory cells, which mediate cell proliferation and increase cytokine and chemokine production. As the inflammatory response progresses, self-regulating mechanisms fail leading to an overproduction of Treg, Th17 cytokines and angiogenic chemokines, which enhance DNA damage, cell proliferation and angiogenesis, promoting prostate cancer progression.
Cancers 02 01198 g001 1024

2. Non-Targeted Genome-Wide Scans for Prostate Cancer Risk

Methods for unbiased and non-targeted identification of loci contributing to inherited prostate cancer susceptibility include whole genome analysis of linkage in prostate cancer families and large scale case-control association-based approaches.

One of the first regions to be identified as a potential prostate cancer susceptibility locus using a genome wide scan is on the long arm of chromosome 1 (1q24-25), originally termed hereditary prostate cancer 1 (HPC1) [11]. Analysis of candidate genes within this region identified an anti-viral and anti-proliferative gene involved in the innate immune system, RNASEL. In addition to identifying germline mutations within this gene associated with prostate cancer risk, a common variant, R463Q, has been linked to increased susceptibility to a viral infection, namely Xenotropic MulV-related virus (XMRV), proposed to be involved in prostate cancer pathogenesis [12,13]. A second locus identified by familial linkage studies mapped to chromosomal position 8p22, which harbors an innate immune gene, macrophage scavenger receptor 1 (MSR1). MSR1 expression is largely restricted to macrophages and is primarily involved in bacterial elimination. Germline variants within this gene have since been associated with prostate cancer risk [14]. The first prostate cancer GWAS to implicate an adaptive cytokine gene variant in prostate cancer risk showed suggestive evidence that the minor allele of a non-synonymous interleukin(IL)-16 variant, rs4072111, may be associated with prostate cancer risk under a recessive model of inheritance [15].

Follow-up association studies to confirm a role for variants within the two innate immune genes, RNASEL and MSR1, in prostate cancer susceptibility, have produced some conflicting results (reviewed in [16]). Similarly, there are no reported studies to verify the association observed for the IL-16 gene variant and prostate cancer risk. Discrepant results are often achieved for prostate cancer genetic association studies, thus highlighting the complex, heterogeneous nature of the disease and the potential difficulties in determining the genetic contribution to prostate cancer risk. It is proposed that a combination of multiple low- to moderate-risk alleles may contribute to disease risk, although the most appropriate method to accurately define these associations is often disputed.

3. Targeted Candidate Gene Analysis for Prostate Cancer Risk

In an effort to clarify a potential role for immune gene variants in prostate cancer risk, one study investigated a large panel of 9,275 variants within 1,086 inflammatory genes using a large and well-defined Swedish case-control population study (CAPS). This study of 400 prostate cancer cases and 400 population-matched controls revealed a multitude of variants across the panel of genes to be significantly associated with prostate cancer risk. By determining that more than the expected number of variants were statistically significant, this report supports previous suggestions and concludes that there is likely an association between prostate cancer risk and multiple modest effect genes within the inflammatory pathways [17]. A targeted approach to investigate specific, candidate inflammatory gene variants might thus provide a suitable means of determining a genetic predisposition to inflammatory mediated prostate cancer. Based on the impact of TLRs, Th cytokines and chemokines in prostate cancer pathogenesis (Figure 1), the gene families encoding these inflammatory agents are addressed herein.

3.1. Toll-like Receptor (TLR) Variants

A host inflammatory response is typically initiated upon recognition of uniquely conserved pathogen associated molecular patterns (PAMPs), generally found on the surface of invading organisms, via pattern recognition receptors (PRRs) of the host innate immune system. The most prominent PRRs are the family of TLRs expressed on the surface of various immune cells. TLRs are a type I transmembrane receptor, of which 13 structurally unique members have thus far been identified. TLRs are characterized by an intracellular toll/IL-1 receptor (TIR) signaling domain and extracellular leucine rich repeats, which determine the recognition of distinct PAMPs. Upon binding to a microbial ligand, TLRs initiate signaling events involved in adaptive immune responses that trigger the production of inflammatory mediators including, cytokines, chemokines, cell adhesion molecules and DNA damaging effector molecules, such as reactive oxygen and nitrogen species [18,19]. TLRs most notably stimulate the production of Th type 1 (Th1), Th17 and CD8+ T cell responses, but are also reported to influence Th2 cytokine production under certain pathological conditions [20].

Although the etiology of prostate specific inflammation is currently unknown, it has been suggested that it may evolve in response to pathogenic invasion, which would support a role for TLRs in prostate cancer pathogenesis. Evidence to sustain this hypothesis includes, the observation that bacterial specific RNA is frequently present in cases of clinical prostatitis [21,22], as well as the isolation of infectious agents including human papillomavirus (HPV) and herpes simplex virus (HSV) in prostate cancer tissue [23,24,25]. A more recent report has demonstrated that TLRs, specifically TLR subclass 4 (TLR4) and TLR9, may contribute to prostate cancer pathogenesis by stimulating prostate epithelial cell proliferation in response to infectious stimuli [26]. Polymorphisms that directly influence TLR expression may thus be implicated in a skewed/unregulated inflammatory response to infection, rendering the host more susceptible to prostate carcinogenesis.

Although a vast number of TLR polymorphisms have been identified, to date the functional implications of the majority of these variations are unknown [27]. Regardless, there have been several publications that have investigated a possible association between TLR gene polymorphisms and prostate cancer risk, most notably within TLR4 and the TLR6-TLR1-TLR10 gene cluster located within a 54 kb region on chromosome 4p14 (Table 1). Several variant alleles within the TLR4 gene are reported to be associated with prostate cancer risk, including various genotypes of three polymorphisms, rs1927911, rs10116253 and rs10759932 that have been associated with both an increase [28,29,30] and decrease [31] in prostate cancer risk. Significant associations were also reported for variant alleles within the TLR6-TLR1-TLR10 gene cluster, and similarly to TLR4, inverse significant associations were observed for alleles at TLR10 polymorphic sites, rs11096955 and rs11096957 [32,33]. Inconsistent association results are a major concern for disease association studies and often reflect heterogeneity of study design and composition, as well as emphasizing the complex nature of genetic contributions to a multifaceted disease such as prostate cancer. A total of 15 variants across TLR2, TLR3, TLR5, TLR7, TLR8 and TLR9 have additionally been investigated for association with prostate cancer risk. However to date, no significant associations have been observed for polymorphisms within these genes.

Table Table 1. TLR variants investigated for association with prostate cancer risk.

Click here to display table

Table 1. TLR variants investigated for association with prostate cancer risk.
Gene familyGeneVariant ID# No. of publications* PopulationRef.Reported functional effect
P ≤ 0.05NullEUAAASOT
TLRsTLR1rs4624663 3[32,33,34]
rs48330951 [32]
rs574355112[32,33,34]
rs574355612[32,33,34]
rs57435941 [32]
rs57435951 [32]√ [35]
rs57435961 [32]
rs574360422[32,33,34,36]
rs5743611 3[32,33,34]
TLR2rs3804100 1 [36]
TLR3rs3775296 1 [36]
rs5743305 1 [36]
rs5743313 1 [36]
TLR4rs192791121 [29,30,31]
rs192791414 [29,30,31,36,37]
rs214935613 [28,30,31,37]
rs2737190 1 [30]
rs27701501 [31]
rs498679014 [28,30,31,36,37]√ [38,39]
rs50307171 [31]
rs5030721 1 [36,37]
rs50307281 [28]
rs64783171 [31]
rs787378413 [28,30,31,36]
rs101162532 [30,31]
rs1075993222 [28,31,36,37]√ [40]
rs10759933 1 [37]
rs11536871 2 [36,37]
rs1153685811 [29,31]
rs11536878 1 [31]
rs1153688923 [28,30,31,36,37]
rs1153689112 [29,30,31]
rs11536897 2 [29,31]
rs1153689811 [30,31]
TLR5rs1053954 1 [36]
rs2072493 1 [36]
rs5744113 1 [36]
rs5744174 1 [36]
TLR6rs1039599 1 [34]
rs3821985 1 [34]
rs5743788 2 [33,34]
rs574379512[32,33,34]
rs574380612[32,33,34]
rs5743810 3[32,33,34]
rs5743815 3[32,33,34]
TLR7rs179008 1 [36]√ [41]
rs179019 1 [36]
rs2302267 1 [36]
TLR8rs1548731 1 [36]
rs4830806 1 [36]
rs5744068 1 [36]
TLR9rs187084 1 [36]
TLR10rs427485512[32,33,34]
rs412900912[32,33,34]√ [35]
rs7653908 1[32]
rs7658893 1[32]
rs10856838 1[32]
rs1109695521[32,33,34]
rs1109695721[32,33,34]
rs1146661712[32,33,34]
rs1146664012[32,33,34]
rs11466649 1[32]
rs11466651 1[32]
rs11466653 1[32]
rs11466655 1[32]
rs11096956 1[32]
rs11466657 3[32,33,34]
Epistasis
TLR1/ TLR6/ TLR10rs11096955/ rs11096957/ rs4833095/ rs5743596/ rs5743595/ rs57435511 [32]
11 SNPs1 [33]
TLR415 SNPs1 [31]

* Population EU (European), AA (African American), AS (Asian) and OT (Other).# The associations observed include a significance of P ≤ 0.05 found with either a specific allele or genotype.

3.2. T helper (Th) Cytokine Variants

Th cells form a critical component of the adaptive immune system, though are important contributors to nearly all cellular components of immunity. Unique Th cell phenotypes differentiate from naïve Th cells dependant on the pathogen and subsequent cytokine stimulus present. Several mechanisms are involved in influencing this production and maintaining a balanced and effective Th cell response, most notably via self-regulating mechanisms of Th secreted cytokines. Disruption at any of these check points may lead to auto-immune and other chronic inflammatory disorders.

A role for Th cells in prostate cancer pathogenesis is becoming increasingly evident. In addition to being associated with an improved response to prostate cancer immunotherapy [42], Th cells have been negatively implicated in prostate cancer pathogenesis [43], demonstrating pleiotropic roles in prostate cancer immunity. More specific phenotypic analysis of prostate infiltrating lymphocytes (PILs) in the tumor microenvironment has indicated that a significant portion of the cells, which infiltrate the cancerous prostate gland, are skewed towards a Th17 or possibly a FoxP3 expressing T regulatory (Treg) cell type [44]. In further support of a role for Th17 cells in prostate cancer, investigators have recently reported an inverse relationship between the frequency of circulating Th17 cells and time till progression to metastatic disease [45]. Although this work is still relatively novel and incomplete, elucidation of the effector cell subtypes likely involved in prostate cancer development provides a strong basis for targeting specific cytokines involved in maintaining a Th cell balance for association with prostate cancer risk.

Genetic variation within genes that encode cytokines involved in regulating a Th cell balance may alter the nature and extent of an adaptive immune response, thus predisposing individuals to an increased risk of inflammatory mediated prostate cancer. Since this hypothesis was proposed, numerous studies have investigated genetic associations between Th cytokine variants and prostate cancer risk. As is typically observed for prostate cancer, the literature surrounding this hypothesis is somewhat controversial, with several association studies reporting conflicting results. Although numerous attempts have been published, significant associations to date are limited to variants within the Th influencing cytokines, IL-1β [46], IL-2 [47], IL-6 [48,49,50], IL-10 [30,46,51,52,53,54], IL-18 [55], transforming growth factor (TGF)-β1 [56,57,58,59] and tumor necrosis factor (TNF) [60,61] (Table 1). Data generated in our laboratory additionally supports a role for gene variants within cytokine encoding genes IL-4 and IL-6 and susceptibility to prostate cancer. Amongst the significantly associated variants, functional studies have implicated IL-10 rs1800896 (-1082G>A) [62], IL-18 rs187238 (-137G>C) [63], IL-6 rs1800795 (-174G>C) [64,65,66,67,68], TGF-β1 rs1800469 (-509C>T) [69,70,71] and rs1800470 (896T>C, Leu10Pro) [72,73,74] and TNF rs1799724 (-857C>T) [75] and rs1800629 (-308G>A) [76,77] in differential gene activity. Reports of functional significance for variants observed to be associated with prostate cancer risk further supports the possibility that Th variants may play a role in inflammatory induced prostate cancer by skewing the Th cell balance from its homeostatic state (Figure 1). A direct functional role for Th cytokines in prostate cancer pathogenesis provides a basis for targeting this pathway in developing prostate cancer immunotherapies. In conjunction with reports that implicate Th cytokine gene variants in prostate cancer risk, numerous studies have failed to report an association, including some reports which refute previous associations (summarized in Table 2).

Table Table 2. Th cytokine variants investigated for association with prostate cancer risk.

Click here to display table

Table 2. Th cytokine variants investigated for association with prostate cancer risk.
Gene familyGene Variant ID # No. of publications* PopulationReferenceReported functional effect
P ≤ 0.05NullEUAAASOT
Th CytokinesIL-1αrs1800587 1 [61]√ [78]
IL-1βrs1143627 3 [30]√ [79,80]
rs16944 4 [46,53,54,81]√ [82,83]
rs114363412 [46,54,81]
IL-1RNrs878972 1 [84]
rs315934 1 [84]
rs3087263 2 [84,85]
rs380092 1 [85]
rs4252019 1 [85]
rs579543 1 [85]
rs315951 2 [84,85]
rs4252041 1 [85]
rs9005 1 [85]
IL-2rs2069762 1 [86]√ [87,88]
rs20697631 [47]
rs3136534 1 [86]
IL-4Intron 3, 70bp VNTR 1 [48]√ [89]
IL-6rs1800797 3 [30,46,90]
rs1800796 3 [30,90,91]√ [66,92]
rs180079536 [30,46,48,49,50,81,90,91]√ [64,65,66,67,68]
rs2069830 1 [91]
rs2069832 2 [46,49]
rs1474348 1 [90]
rs2069837 2 [90,91]
rs2069860 1 [90]
rs1474347 1 [91]
rs1524107 1 [91]
rs1554606 1 [91]
rs2069849 2 [49,91]
rs1818879 1 [91]
IL-10rs180089653 [30,46,51,52,53,54,81]√ [62]
rs180087123 [46,51,52,54,81]
rs180087223 [30,46,51,54,93]
rs3024496 2 [51,81]
IL-18rs1946518 1 [55]√ [63]
rs1872381 [55]√ [63]
IL-21rs6822844 1 [86]
rs6840978 1 [86]
TGF-β1rs1800468 1 [94]√ [69]
rs180046921 [56,57,94]√ [69,70,71]
rs180047023 [57,58,59,95,94,95,94,95]√ [72,73,74]
rs1800471 1 [94]√ [96]
rs1800472 1 [94]
TNFrs179996411 [60,97]
rs1800630 2 [60,97]
rs179972413 [46,54,60,97]√ [75]
rs180062916 [30,46,49,54,60,61,97]√ [76,77,98]
rs361525 3 [46,54,97]√ [99]
rs3093661 1 [49]
rs1800610 1 [97]
rs3093668 1 [49]
Epistasis
IL-1β/IL-10rs1143627/ rs18008961 [46]
rs1143627/ rs18008961 [54]
rs16944/ rs18008721 [54]
IL-1RNrs878972/ rs315934/ rs3087263/ rs3159511 [84]
IL-10/TNFrs1800872/ rs3615251 [54]
IL-10rs1800896/ rs1800871/ rs1800872/ rs30244961 [51]√ [62,100,101]
rs1800896/ rs18008711
IL-18rs1946518/ rs1872381 [55]√ [63]
TNFrs1799964/ rs1800630/ rs1799724/ rs18006292 [60,97]

* Population EU (European), AA (African American), AS (Asian) and OT (Other).# The associations observed include a significance of P ≤ 0.05 found with either a specific allele or genotype.

3.3. Chemokine variants

The largest subset of cytokines is known as the chemokine network, which comprises small (8–10 kDa) chemoattractant proteins referred to as chemokines (approximately 50) that serve as ligands for G-protein-coupled seven-transmembrane domain chemokine receptors (approximately 20). Chemokines and their receptors are grouped into four classes (C, CC, CXC and CX3C) based on the position of two of four highly conserved cysteine residues near the amino terminus of the protein. Activation of the chemokine network is essential for the regulation of signaling cascades that induce cell migration to specific sites during inflammation.

Tumor cells, including prostate cancer cells, have been found to express chemokines and their receptors, which act as growth or survival factors, regulate angiogenesis, determine metastatic spread and control leukocyte infiltration into tumors, thereby hindering antitumor immune responses [102]. CXC chemokines containing a Glu-Leu-Arg/ELR+ motif preceding the first cysteine residue are considered to be angiogenic (CXCL1, 2, 3, 5, 6, 7 and 8), while CXC chemokines lacking this ELR- motif are angiostatic (CXCL4, 9, 10, 11, 14). However, it has been observed that although CXCL12 is an ELR- CXC chemokine, it has been found to be angiogenic [103,104]. Various studies have indicated that normal prostate epithelium produces relatively high levels of angiostatic chemokines and low levels of angiogenic chemokines [105,106,107]. To date, research on prostate cancer and the chemokine network has mainly focused on CCL2, CXCL8 and CXCL12 and their receptors [106]. Many other chemokines and their receptors have also been shown to have multifaceted roles in the progression of prostate cancer [106,107,108].

The chemokine network regulates inflammatory responses and clearly contributes to inflammatory mediated prostate cancer [106,107,108]. It has been further suggested that chemokines and their receptors may also play a role in the variable incidence rates observed for prostate cancer as their expression profiles appear specific for certain populations affected by the disease [106]. Genes encoding chemokine and chemokine receptors may therefore contain genetic markers that influence prostate cancer risk. Although genetic variation in the chemokine network has been associated with influencing susceptibility to a number of cancers, studies have been limited for prostate cancer (Table 1). A functional polymorphism in the promoter region of CXCL8 (IL8), rs4073 (-251A/T), has been previously associated with prostate cancer risk. More specifically, the rs4073 TT genotype (low producer of CXCL8) was associated with decreased risk for developing prostate cancer [53], although this finding was not replicated in another study with an increased sample size [109]. In addition, the latter study did not show any association between two CXCL8 receptor gene polymorphisms, CXCR1 rs2230054 (860C>G) and CXCR2 rs11226580 (-1010A>G), and prostate cancer risk [109]. The CXCL12 rs1801157 variant has been shown to influence the development of prostate cancer with the GA and AA genotypes (increased production of CXCL12) being associated with an increased disease risk in a Japanese sample population [110].In contrast, our group found no significant association for the CXCL12 polymorphism with risk status in our larger Australian case-control population-based study [111]. Using the same study population, commonly investigated CCL5 rs2107538 (-403G>A), CCR2 rs1799864 (G>A; V64I), CCR5 rs333 (Δ32), CX3CR1 rs3732379 (G>A; V249I) and rs3732378 (C>T; T280M) functional variants were also found to be insignificant contributors to prostate cancer susceptibility [111]. An association was however observed between the CCR5Δ32 marker, rs333, (no production of CCR5) and familial prostate cancer risk when considering the number of first-degree relatives of cases who are affected with prostate cancer [111]. Recently, a small study consisting of 50 centenarians as controls with population matched cases reported rs333 as having a protective effect against the development of prostate cancer [112]. These discrepant associations require replication in independent family and case-control studies (Table 3).

Table Table 3. Chemokine variants investigated for association with prostate cancer risk.

Click here to display table

Table 3. Chemokine variants investigated for association with prostate cancer risk.
Gene familyGeneVariant ID# No. of publications* PopulationRef.Reported functional effect
P ≤ 0.05NullEUAAASOT
ChemokinesCCL2 (MCP1)rs1024611 1 [61]√ [113]
CCL5 (RANTES)rs210753811 [61,111]√ [114]
CCR5rs33311 [111,112]√ [115]
CCR2rs1799864 1 [111]√ [116]
CXCL8 (IL-8)rs407311 [53,109]√ [117]
CXCL12 (SDF1)rs180115711 [110,111]√ [118]
CXCR1rs2230054 1 [109]
CXCR2rs11226580 1 [109]
CX3CR1rs3732378 1 [111]√ [119]
rs3732379 1 [111]√ [119]

* Population EU (European), AA (African American), AS (Asian) and OT (Other).# The associations observed include a significance of P ≤ 0.05 found with either a specific allele or genotype.

4. Conclusions

Although evidence is accumulating on the importance of inflammation in prostate cancer etiology, genetic association studies investigating the role of immune related gene variants in susceptibility to prostate cancer are still in their infancy. In addition to describing evidence of association, this review details some of the disparities between association results for TLR, Th cytokine and chemokine gene variants and prostate cancer risk. Failure to replicate association results is not unique to prostate cancer, but is rather a wide-spread issue particularly related to this candidate gene approach for genetic association studies. Some major factors contributing to the inconsistency are related to study design (e.g., case control versus case cohort), genotyping methodology and error rate, sample size and ethnic diversity, recruitment strategy and interpretation of results (i.e., adequate P value and correction for multiple testing) [120]. Together with the lack of available data and discrepancies reported, we call for a more focused research effort, which may include using larger, more stringently defined (in terms of clinical/pathological features and ethnicity) population-based studies to investigate the complex network of inflammatory genes as markers of risk for developing prostate cancer.

We have mentioned frequently throughout this review that prostate cancer association studies should be assessed in ethnically unique population groups to account for the racial discrepancies which exist for prostate cancer risk. African Americans are the highest known risk group, while Asians have the lowest attributable risk [121]. When segregating ethnic groups for association analysis, population stratification must be adjusted for as subpopulations will influence variant selection and the outcome of the association analysis [122].

Distinct from TLR cytokine variants, where there generally appeared to be no difference in disease risk between localized and advanced prostate cancer cases [29,31,32,34,37] (indicative of genetic variation influencing disease development rather than progression), it is important to note that several of the positively associated Th cytokine variants discussed in this review have been associated with specific disease characteristics including, prostate cancer grade and metastasis [46,48,50,51,52,56,57,60]. Subsequently, one hypothesis suggests that if various components of the host immune system appear implicated in different stages of disease progression (Figure 1), the effect of immune related variants may be specific to certain clinicopathological characteristics of prostate cancer. Elucidating true associations may thus require large cohorts of more clinically and geographically defined subsets of prostate cancer.

The complexity of genetic involvement in prostate cancer pathogenesis is highlighted by recent GWAS (predominantly European-based) that have described numerous allelic variants located at several distinct regions across the genome, to have a moderate effect on prostate cancer risk (reviewed in [123]). Prostate cancer therefore has among the highest number of identified risk loci of any disease studied to date. Although inflammatory gene variants are presently not among these risk alleles, the modest contribution of current genetic risk factors is not adequate to explain the familial risk previously described for prostate cancer. Thus, the identification of risk alleles is likely to grow, aided by the collection of ethnically diverse study populations and the expansion of known genetic content.

The modest effect described for the vast majority of significantly associated variant alleles, has contributed to the consensus that prostate cancer fits into the common disease, common variant hypothesis, which implies that multiple variants are likely responsible for the observed inherited disease risk [124]. Inflammation involves a complex interaction of gene networks and is largely self-regulating, thus it is reasonable to assume that certain combinations of alleles may contribute to an imbalanced immune response and increased prostate cancer risk. We have described here some instances of epistasis contributing to prostate cancer risk, which implies these variant alleles act synergistically to effect disease susceptibility. Given the complex nature of prostate cancer and the likely possibility that multiple gene variants are involved, epistasic interactions between inflammatory gene variants and also gene-environment interactions are worthy of further investigation.

Identification of gene variants responsible for the inherited component of prostate cancer risk may contribute to the development of genetic based screening tests to assist current diagnostic strategies, facilitate defining what is essentially a heterogenous disease and more accurately identify men in the community at a greater risk of developing the disease. In addition to improving clinical management, such findings could provide novel targets for the intervention of prostate cancer therapies.

Current treatment options available for prostate cancer can be both invasive and toxic, negatively impacting on quality of life and prompting many patients (particularly those in the later stages of life) to refuse treatment. The primary goal for developing immunotherapeutics for prostate cancer is to prevent disease progression, whilst providing a cancer specific treatment that minimizes toxicity and other detrimental side-effects. Currently there are no approved immunotherapeutic treatments for prostate cancer, however advances in the field of immunology has provided a better understanding of antigen presentation, antigen recognition and tumor immune escape, making the task more feasible. Identification of variants responsible for maintaining a tumor immune response may therefore further provide more specific targets to combat the development of prostate cancer and disease progression.

Acknowledgements

We acknowledge the Cancer Institute of New South Wales (CINSW) who support both E.A.T. (CINSW PhD Scholar) and V.M.H. (CINSW Research Fellow).

References

  1. Edwards, B.K.; Ward, E.; Kohler, B.A.; Eheman, C.; Zauber, A.G.; Anderson, R.N.; Jemal, A.; Schymura, M.J.; Lansdorp-Vogelaar, I.; Seeff, L.C.; van Ballegooijen, M.; Goede, S.L.; Ries, L.A. Annual report to the nation on the status of cancer, 1975–2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates. Cancer 2009, 116, 544–573. [Google Scholar]
  2. Baade, P.D.; Youlden, D.R.; Krnjacki, L.J. International epidemiology of prostate cancer: geographical distribution and secular trends. Mol. Nutr. Food Res. 2009, 53, 171–184. [Google Scholar] [CrossRef]
  3. Dennis, L.K.; Dawson, D.V. Meta-analysis of measures of sexual activity and prostate cancer. Epidemiology 2002, 13, 72–79. [Google Scholar] [CrossRef]
  4. Taylor, M.L.; Mainous, A.G.; Wells, B.J. Prostate cancer and sexually transmitted diseases: a meta-analysis. Fam. Med. 2005, 37, 506–512. [Google Scholar]
  5. Dennis, L.K.; Lynch, C.F.; Torner, J.C. Epidemiologic association between prostatitis and prostate cancer. Urology 2002, 60, 78–83. [Google Scholar] [CrossRef]
  6. MacLennan, G.T.; Eisenberg, R.; Fleshman, R.L.; Taylor, J.M.; Fu, P.; Resnick, M.I.; Gupta, S. The influence of chronic inflammation in prostatic carcinogenesis: a 5-year followup study. J. Urol. 2006, 176, 1012–1016. [Google Scholar] [CrossRef]
  7. Jafari, S.; Etminan, M.; Afshar, K. Nonsteroidal anti-inflammatory drugs and prostate cancer: a systematic review of the literature and meta-analysis. Can. Urol. Assoc. J. 2009, 3, 323–330. [Google Scholar]
  8. Mahmud, S.; Franco, E.; Aprikian, A. Prostate cancer and use of nonsteroidal anti-inflammatory drugs: systematic review and meta-analysis. Br. J. Cancer 2004, 90, 93–99. [Google Scholar] [CrossRef]
  9. De Marzo, A.M.; Marchi, V.L.; Epstein, J.I.; Nelson, W.G. Proliferative inflammatory atrophy of the prostate: implications for prostatic carcinogenesis. Am. J. Pathol. 1999, 155, 1985–1992. [Google Scholar] [CrossRef]
  10. Costantini, S.; Capone, F.; Guerriero, E.; Castello, G. An approach for understanding the inflammation and cancer relationship. Immunol. Lett. 2009, 126, 91–92. [Google Scholar] [CrossRef]
  11. Smith, J.R.; Freije, D.; Carpten, J.D.; Gronberg, H.; Xu, J.; Isaacs, S.D.; Brownstein, M.J.; Bova, G.S.; Guo, H.; Bujnovszky, P.; Nusskern, D.R.; Damber, J.E.; Bergh, A.; Emanuelsson, M.; Kallioniemi, O.P.; Walker-Daniels, J.; Bailey-Wilson, J.E.; Beaty, T.H.; Meyers, D.A.; Walsh, P.C.; Collins, F.S.; Trent, J.M.; Isaacs, W.B. Major susceptibility locus for prostate cancer on chromosome 1 suggested by a genome-wide search. Science 1996, 274, 1371–1374. [Google Scholar] [CrossRef]
  12. Urisman, A.; Molinaro, R.J.; Fischer, N.; Plummer, S.J.; Casey, G.; Klein, E.A.; Malathi, K.; Magi-Galluzzi, C.; Tubbs, R.R.; Ganem, D.; Silverman, R.H.; DeRisi, J.L. Identification of a novel Gammaretrovirus in prostate tumors of patients homozygous for R462Q RNASEL variant. PLoS Pathog. 2006, 2, e25. [Google Scholar] [CrossRef]
  13. Carpten, J.; Nupponen, N.; Isaacs, S.; Sood, R.; Robbins, C.; Xu, J.; Faruque, M.; Moses, T.; Ewing, C.; Gillanders, E.; Hu, P.; Bujnovszky, P.; Makalowska, I.; Baffoe-Bonnie, A.; Faith, D.; Smith, J.; Stephan, D.; Wiley, K.; Brownstein, M.; Gildea, D.; Kelly, B.; Jenkins, R.; Hostetter, G.; Matikainen, M.; Schleutker, J.; Klinger, K.; Connors, T.; Xiang, Y.; Wang, Z.; De Marzo, A.; Papadopoulos, N.; Kallioniemi, O.P.; Burk, R.; Meyers, D.; Gronberg, H.; Meltzer, P.; Silverman, R.; Bailey-Wilson, J.; Walsh, P.; Isaacs, W.; Trent, J. Germline mutations in the ribonuclease L gene in families showing linkage with HPC1. Nat. Genet. 2002, 30, 181–184. [Google Scholar] [CrossRef]
  14. Xu, J.; Zheng, S.L.; Komiya, A.; Mychaleckyj, J.C.; Isaacs, S.D.; Hu, J.J.; Sterling, D.; Lange, E.M.; Hawkins, G.A.; Turner, A.; Ewing, C.M.; Faith, D.A.; Johnson, J.R.; Suzuki, H.; Bujnovszky, P.; Wiley, K.E.; DeMarzo, A.M.; Bova, G.S.; Chang, B.; Hall, M.C.; McCullough, D.L.; Partin, A.W.; Kassabian, V.S.; Carpten, J.D.; Bailey-Wilson, J.E.; Trent, J.M.; Ohar, J.; Bleecker, E.R.; Walsh, P.C.; Isaacs, W.B.; Meyers, D.A. Germline mutations and sequence variants of the macrophage scavenger receptor 1 gene are associated with prostate cancer risk. Nat. Genet. 2002, 32, 321–325. [Google Scholar] [CrossRef]
  15. Thomas, G.; Jacobs, K.B.; Yeager, M.; Kraft, P.; Wacholder, S.; Orr, N.; Yu, K.; Chatterjee, N.; Welch, R.; Hutchinson, A.; Crenshaw, A.; Cancel-Tassin, G.; Staats, B.J.; Wang, Z.; Gonzalez-Bosquet, J.; Fang, J.; Deng, X.; Berndt, S.I.; Calle, E.E.; Feigelson, H.S.; Thun, M.J.; Rodriguez, C.; Albanes, D.; Virtamo, J.; Weinstein, S.; Schumacher, F.R.; Giovannucci, E.; Willett, W.C.; Cussenot, O.; Valeri, A.; Andriole, G.L.; Crawford, E.D.; Tucker, M.; Gerhard, D.S.; Fraumeni, J.F., Jr.; Hoover, R.; Hayes, R.B.; Hunter, D.J.; Chanock, S.J. Multiple loci identified in a genome-wide association study of prostate cancer. Nat. Genet. 2008, 40, 310–315. [Google Scholar] [CrossRef]
  16. De Marzo, A.M.; Platz, E.A.; Sutcliffe, S.; Xu, J.; Grönberg, H.; Drake, C.G.; Nakai, Y.; Isaacs, W.B.; Nelson, W.G. Inflammation in prostate carcinogenesis. Nat. Rev. Cancer 2007, 7, 256–269. [Google Scholar] [CrossRef]
  17. Zheng, S.L.; Liu, W.; Wiklund, F.; Dimitrov, L.; Bälter, K.; Sun, J.; Adami, H.O.; Johansson, J.E.; Sun, J.; Chang, B.; Loza, M.; Turner, A.R.; Bleecker, E.R.; Meyers, D.A.; Carpten, J.D.; Duggan, D.; Isaacs, W.B.; Xu, J.; Grönberg, H. A comprehensive association study for genes in inflammation pathway provides support for their roles in prostate cancer risk in the CAPS study. Prostate 2006, 66, 1556–1564. [Google Scholar] [CrossRef]
  18. Akira, S.; Takeda, K. Toll-like receptor signaling. Nat. Rev. Immunol. 2004, 4, 499–511. [Google Scholar] [CrossRef]
  19. Sun, J.; Turner, A.; Xu, J.; Grönberg, H.; Isaacs, W. Genetic variability in inflammation pathways and prostate cancer risk. Urol. Oncol. 2007, 25, 250–259. [Google Scholar] [CrossRef]
  20. Iwasaki, A.; Medzhitov, R. Regulation of adaptive immunity by the innate immune system. Science 2010, 327, 291–295. [Google Scholar] [CrossRef]
  21. Nickel, J.C.; Moon, T. Chronic bacterial prostatitis: an evolving clinical enigma. Urology 2005, 66, 2–8. [Google Scholar] [CrossRef]
  22. Tanner, M.A.; Shoskes, D.; Shahed, A.; Pace, N.R. Prevalence of corynebacterial 16S rRNA sequences in patients with bacterial and "nonbacterial" prostatitis. J. Clin. Microbiol. 1999, 37, 1863–1870. [Google Scholar]
  23. Boldogh, I.; Baskar, J.F.; Mar, E.C.; Huang, E.S. Human cytomegalovirus and herpes simplex type 2 virus in normal and adenocarcinomatous prostate glands. J. Natl. Cancer Inst. 1983, 70, 819–826. [Google Scholar]
  24. Kuczyk, M.; Serth, J.; Machtens, S.; Jonas, U. Detection of viral HPV 16 DNA in prostate cancer and benign prostatic hyperplasia by quantitative PCR-directed analysis. Prostate Cancer Prostatic Dis. 2000, 3, S23. [Google Scholar]
  25. Serth, J.; Panitz, F.; Paeslack, U.; Kuczyk, M.A.; Jonas, U. Increased levels of human papillomavirus type 16 DNA in a subset of prostate cancers. Cancer Res. 1999, 59, 823–825. [Google Scholar]
  26. Kundu, S.D.; Lee, C.; Billips, B.K.; Habermacher, G.M.; Zhang, Q.; Liu, V.; Wong, L.Y.; Klumpp, D.J.; Thumbikat, P. The toll-like receptor pathway: a novel mechanism of infection-induced carcinogenesis of prostate epithelial cells. Prostate 2008, 68, 223–229. [Google Scholar] [CrossRef]
  27. El-Omar, E.M.; Ng, M.T.; Hold, G.L. Polymorphisms in Toll-like receptor genes and risk of cancer. Oncogene 2008, 27, 244–252. [Google Scholar] [CrossRef]
  28. Cheng, I.; Plummer, S.J.; Casey, G.; Witte, J.S. Toll-like receptor 4 genetic variation and advanced prostate cancer risk. Cancer Epidemiol. Biomarkers Prev. 2007, 16, 352–355. [Google Scholar] [CrossRef]
  29. Song, J.; Kim, D.Y.; Kim, C.S.; Kim, H.J.; Lee, D.H.; Lee, H.M.; Ko, W.; Lee, G. The association between Toll-like receptor 4 (TLR4) polymorphisms and the risk of prostate cancer in Korean men. Cancer Genet. Cytogenet. 2009, 190, 88–92. [Google Scholar] [CrossRef]
  30. Wang, M.H.; Helzlsouer, K.J.; Smith, M.W.; Hoffman-Bolton, J.A.; Clipp, S.L.; Grinberg, V.; De Marzo, A.M.; Isaacs, W.B.; Drake, C.G.; Shugart, Y.Y.; Platz, E.A. Association of IL10 and other immune response- and obesity-related genes with prostate cancer in CLUE II. Prostate 2009, 69, 874–885. [Google Scholar] [CrossRef]
  31. Chen, Y.C.; Giovannucci, E.; Lazarus, R.; Kraft, P.; Ketkar, S.; Hunter, D.J. Sequence variants of Toll-like receptor 4 and susceptibility to prostate cancer. Cancer Res. 2005, 65, 11771–11778. [Google Scholar] [CrossRef]
  32. Stevens, V.L.; Hsing, A.W.; Talbot, J.T.; Zheng, S.L.; Sun, J.; Chen, J.; Thun, M.J.; Xu, J.; Calle, E.E.; Rodriguez, C. Genetic variation in the toll-like receptor gene cluster (TLR10-TLR1-TLR6) and prostate cancer risk. Int. J. Cancer 2008, 123, 2644–2650. [Google Scholar] [CrossRef]
  33. Sun, J.; Wiklund, F.; Zheng, S.L.; Chang, B.; Balter, K.; Li, L.; Johansson, J.E.; Li, G.; Adami, H.O.; Liu, W.; Tolin, A.; Turner, A.R.; Meyers, D.A.; Isaacs, W.B.; Xu, J.; Gronberg, H. Sequence variants in Toll-like receptor gene cluster (TLR6-TLR1-TLR10) and prostate cancer risk. J. Natl. Cancer Inst. 2005, 97, 525–532. [Google Scholar] [CrossRef]
  34. Chen, Y.C.; Giovannucci, E.; Kraft, P.; Lazarus, R.; Hunter, D.J. Association between Toll-like receptor gene cluster (TLR6, TLR1, and TLR10) and prostate cancer. Cancer Epidemiol. Biomarkers Prev. 2007, 16, 1982–1989. [Google Scholar] [CrossRef]
  35. Kormann, M.S.; Depner, M.; Hartl, D.; Klopp, N.; Illig, T.; Adamski, J.; Vogelberg, C.; Weiland, S.K.; von Mutius, E.; Kabesch, M. Toll-like receptor heterodimer variants protect from childhood asthma. J. Allergy Clin. Immunol. 2008, 122, 86–92, 92.e1–8. [Google Scholar] [CrossRef]
  36. Xu, J.; Lowey, J.; Wiklund, F.; Sun, J.; Lindmark, F.; Hsu, F.C.; Dimitrov, L.; Chang, B.; Turner, A.R.; Liu, W.; Adami, H.O.; Suh, E.; Moore, J.H.; Zheng, S.L.; Isaacs, W.B.; Trent, J.M.; Gronberg, H. The interaction of four genes in the inflammation pathway significantly predicts prostate cancer risk. Cancer Epidemiol. Biomarkers Prev. 2005, 14, 2563–2568. [Google Scholar] [CrossRef]
  37. Zheng, S.L.; Augustsson-Balter, K.; Chang, B.; Hedelin, M.; Li, L.; Adami, H.O.; Bensen, J.; Li, G.; Johnasson, J.E.; Turner, A.R.; Adams, T.S.; Meyers, D.A.; Isaacs, W.B.; Xu, J.; Gronberg, H. Sequence variants of toll-like receptor 4 are associated with prostate cancer risk: results from the CAncer Prostate in Sweden Study. Cancer Res. 2004, 64, 2918–2922. [Google Scholar] [CrossRef]
  38. Arbour, N.C.; Lorenz, E.; Schutte, B.C.; Zabner, J.; Kline, J.N.; Jones, M.; Frees, K.; Watt, J.L.; Schwartz, D.A. TLR4 mutations are associated with endotoxin hyporesponsiveness in humans. Nat. Genet. 2000, 25, 187–191. [Google Scholar] [CrossRef]
  39. Schmitt, C.; Humeny, A.; Becker, C.M.; Brune, K.; Pahl, A. Polymorphisms of TLR4: rapid genotyping and reduced response to lipopolysaccharide of TLR4 mutant alleles. Clin. Chem. 2002, 48, 1661–1667. [Google Scholar]
  40. Hwang, Y.H.; Ro, H.; Choi, I.; Kim, H.; Oh, K.H.; Hwang, J.I.; Park, M.H.; Kim, S.; Yang, J.; Ahn, C. Impact of polymorphisms of TLR4/CD14 and TLR3 on acute rejection in kidney transplantation. Transplantation 2009, 88, 699–705. [Google Scholar] [CrossRef]
  41. Oh, D.Y.; Baumann, K.; Hamouda, O.; Eckert, J.K.; Neumann, K.; Kucherer, C.; Bartmeyer, B.; Poggensee, G.; Oh, N.; Pruss, A.; Jessen, H.; Schumann, R.R. A frequent functional toll-like receptor 7 polymorphism is associated with accelerated HIV-1 disease progression. AIDS 2009, 23, 297–307. [Google Scholar] [CrossRef]
  42. Shafer-Weaver, K.A.; Watkins, S.K.; Anderson, M.J.; Draper, L.J.; Malyguine, A.; Alvord, W.G.; Greenberg, N.M.; Hurwitz, A.A. Immunity to murine prostatic tumors: continuous provision of T-cell help prevents CD8 T-cell tolerance and activates tumor-infiltrating dendritic cells. Cancer Res. 2009, 69, 6256–6264. [Google Scholar] [CrossRef]
  43. Ebelt, K.; Babaryka, G.; Figel, A.M.; Pohla, H.; Buchner, A.; Stief, C.G.; Eisenmenger, W.; Kirchner, T.; Schendel, D.J.; Noessner, E. Dominance of CD4+ lymphocytic infiltrates with disturbed effector cell characteristics in the tumor microenvironment of prostate carcinoma. Prostate 2008, 68, 1–10. [Google Scholar] [CrossRef]
  44. Sfanos, K.S.; Bruno, T.C.; Maris, C.H.; Xu, L.; Thoburn, C.J.; DeMarzo, A.M.; Meeker, A.K.; Isaacs, W.B.; Drake, C.G. Phenotypic analysis of prostate-infiltrating lymphocytes reveals TH17 and Treg skewing. Clin. Cancer Res. 2008, 14, 3254–3261. [Google Scholar] [CrossRef]
  45. Derhovanessian, E.; Adams, V.; Hahnel, K.; Groeger, A.; Pandha, H.; Ward, S.; Pawelec, G. Pretreatment frequency of circulating IL-17+ CD4+ T-cells, but not Tregs, correlates with clinical response to whole-cell vaccination in prostate cancer patients. Int. J. Cancer 2009, 125, 1372–1379. [Google Scholar] [CrossRef]
  46. Zabaleta, J.; Su, L.J.; Lin, H.Y.; Sierra, R.A.; Hall, M.C.; Sartor, A.O.; Clark, P.E.; Hu, J.J.; Ochoa, A.C. Cytokine Genetic Polymorphisms and Prostate Cancer Aggressiveness. Carcinogenesis 2009, 30, 1358–1362. [Google Scholar] [CrossRef]
  47. Wu, H.C.; Chang, C.H.; Wan, L.; Wu, C.I.; Tsai, F.J.; Chen, W.C. IL-2 gene C/T polymorphism is associated with prostate cancer. J. Clin. Lab. Anal. 2006, 20, 245–249. [Google Scholar] [CrossRef]
  48. Kesarwani, P.; Ahirwar, D.K.; Mandhani, A.; Mittal, R.D. Association between -174 G/C promoter polymorphism of the interleukin-6 gene and progression of prostate cancer in North Indian population. DNA Cell Biol. 2008, 27, 505–510. [Google Scholar] [CrossRef]
  49. Moore, S.C.; Leitzmann, M.F.; Albanes, D.; Weinstein, S.J.; Snyder, K.; Virtamo, J.; Ahn, J.; Mayne, S.T.; Yu, H.; Peters, U.; Gunter, M.J. Adipokine genes and prostate cancer risk. Int. J. Cancer 2009, 124, 869–876. [Google Scholar] [CrossRef]
  50. Tan, D.; Wu, X.; Hou, M.; Lee, S.; Ok, LW.; Wang, J.; Janarthan, B.; Nallapareddy, S.; Trump, D.L.; Gao, A.C. Interleukin-6 polymorphism is associated with more aggressive prostate cancer. J. Urol. 2005, 174, 753–756. [Google Scholar] [CrossRef]
  51. Faupel-Badger, J.M.; Kidd, L.C.; Albanes, D.; Virtamo, J.; Woodson, K.; Tangrea, J.A. Association of IL-10 polymorphisms with prostate cancer risk and grade of disease. Cancer Causes Contr. 2008, 19, 119–124. [Google Scholar] [CrossRef]
  52. Kesarwani, P.; Ahirwar, D.K.; Mandhani, A.; Singh, A.N.; Dalela, D.; Srivastava, A.N.; Mittal, R.D. IL-10 -1082 G>A: a risk for prostate cancer but may be protective against progression of prostate cancer in North Indian cohort. World J. Urol. 2009, 27, 389–396. [Google Scholar] [CrossRef]
  53. McCarron, S.L.; Edwards, S.; Evans, P.R.; Gibbs, R.; Dearnaley, D.P.; Dowe, A.; Southgate, C.; The Cancer Research Campaign/British Prostate Group United Kingdom Familial Prostate Cancer Study Collaborators; Easton, D.F.; Eeles, R.A.; Howell, W. Martin Influence of Cytokine Gene Polymorphisms on the Development of Prostate Cancer. Cancer Res. 2002, 62, 3369–3372. [Google Scholar]
  54. Zabaleta, J.; Lin, H.Y.; Sierra, R.A.; Hall, M.C.; Clark, P.E.; Sartor, O.A.; Hu, J.J.; Ochoa, A.C. Interactions of cytokine gene polymorphisms in prostate cancer risk. Carcinogenesis 2008, 29, 573–578. [Google Scholar]
  55. Liu, Y.; Lin, N.; Huang, L.; Xu, Q.; Pang, G. Genetic polymorphisms of the interleukin-18 gene and risk of prostate cancer. DNA Cell Biol. 2007, 26, 613–618. [Google Scholar] [CrossRef]
  56. Brand, T.C.; Bermejo, C.; Canby-Hagino, E.; Troyer, D.A.; Baillargeon, J.; Thompson, I.M.; Leach, R.J.; Naylor, S.L. Association of polymorphisms in TGFB1 and prostate cancer prognosis. J. Urol. 2008, 179, 754–758. [Google Scholar] [CrossRef]
  57. Ewart-Toland, A.; Chan, J.M.; Yuan, J.; Balmain, A.; Ma, J. A gain of function TGFB1 polymorphism may be associated with late stage prostate cancer. Cancer Epidemiol. Biomarkers Prev. 2004, 13, 759–764. [Google Scholar]
  58. Li, Z.; Habuchi, T.; Tsuchiya, N.; Mitsumori, K.; Wang, L.; Ohyama, C.; Sato, K.; Kamoto, T.; Ogawa, O.; Kato, T. Increased risk of prostate cancer and benign prostatic hyperplasia associated with transforming growth factor-beta 1 gene polymorphism at codon10. Carcinogenesis 2004, 25, 237–240. [Google Scholar]
  59. Wei, B.B.; Xi, B.; Wang, R.; Bai, J.M.; Chang, J.K.; Zhang, Y.Y.; Yoneda, R.; Su, J.T.; Hua, L.X. TGFbeta1 T29C polymorphism and cancer risk: a meta-analysis based on 40 case-control studies. Cancer Genet. Cytogenet. 2010, 196, 68–75. [Google Scholar] [CrossRef]
  60. Kesarwani, P.; Mandhani, A.; Mittal, R.D. Polymorphisms in tumor necrosis factor-A gene and prostate cancer risk in North Indian cohort. J. Urol. 2009, 182, 2938–2943. [Google Scholar] [CrossRef]
  61. Saenz-Lopez, P.; Carretero, R.; Cozar, J.M.; Romero, J.M.; Canton, J.; Vilchez, J.R.; Tallada, M.; Garrido, F.; Ruiz-Cabello, F. Genetic polymorphisms of RANTES, IL1-A, MCP-1 and TNF-A genes in patients with prostate cancer. BMC Cancer 2008, 8, 382. [Google Scholar] [CrossRef]
  62. Turner, D.M.; Williams, D.M.; Sankaran, D.; Lazarus, M.; Sinnott, P.J.; Hutchinson, I.V. An investigation of polymorphism in the interleukin-10 gene promoter. Eur. J. Immunogenet. 1997, 24, 1–8. [Google Scholar] [CrossRef]
  63. Giedraitis, V.; He, B.; Huang, W.X.; Hillert, J. Cloning and mutation analysis of the human IL-18 promoter: a possible role of polymorphisms in expression regulation. J. Neuroimmunol. 2001, 112, 146–152. [Google Scholar] [CrossRef]
  64. Bennermo, M.; Held, C.; Stemme, S.; Ericsson, C.G.; Silveira, A.; Green, F.; Tornvall, P. Genetic Predisposition of the Interleukin-6 Response to Inflammation: Implications for a Variety of Major Diseases? Clin. Chem. 2004, 50, 2136–2140. [Google Scholar] [CrossRef]
  65. Boiardi, L.; Casali, B.; Farnetti, E.; Pipitone, N.; Nicoli, D.; Cantini, F.; Macchioni, P.; Bajocchi, G.; Catanoso, M.G.; Pulsatelli, L.; Consonni, D.; Salvarani, C. Relationship between interleukin 6 promoter polymorphism at position -174, IL-6 serum levels, and the risk of relapse/recurrence in polymyalgia rheumatica. J. Rheumatol. 2006, 33, 703–708. [Google Scholar]
  66. Brull, D.J.; Montgomery, H.E.; Sanders, J.; Dhamrait, S.; Luong, L.; Rumley, A.; Lowe, G.D.; Humphries, S.E. Interleukin-6 gene -174g>c and -572g>c promoter polymorphisms are strong predictors of plasma interleukin-6 levels after coronary artery bypass surgery. Arterioscler. Thromb. Vasc. Biol. 2001, 21, 1458–1463. [Google Scholar] [CrossRef]
  67. Fishman, D.; Faulds, G.; Jeffery, R.; Mohamed-Ali, V.; Yudkin, J.S.; Humphries, S.; Woo, P. The effect of novel polymorphisms in the interleukin-6 (IL-6) gene on IL-6 transcription and plasma IL-6 levels, and an association with systemic-onset juvenile chronic arthritis. J. Clin. Invest. 1998, 102, 1369–1376. [Google Scholar] [CrossRef]
  68. Ravaglia, G.; Forti, P.; Maioli, F.; Chiappelli, M.; Dolzani, P.; Martelli, M.; Bianchin, M.; Mariani, E.; Bolondi, L.; Licastro, F. Associations of the -174 G/C interleukin-6 gene promoter polymorphism with serum interleukin 6 and mortality in the elderly. Biogerontology 2005, 6, 415–423. [Google Scholar] [CrossRef]
  69. Grainger, D.J.; Heathcote, K.; Chiano, M.; Snieder, H.; Kemp, P.R.; Metcalfe, J.C.; Carter, N.D.; Spector, T.D. Genetic control of the circulating concentration of transforming growth factor type beta1. Hum. Mol. Genet. 1999, 8, 93–97. [Google Scholar] [CrossRef]
  70. Meng, J.; Thongngarm, T.; Nakajima, M.; Yamashita, N.; Ohta, K.; Bates, C.A.; Grunwald, G.K.; Rosenwasser, L.J. Association of transforming growth factor-beta1 single nucleotide polymorphism C-509T with allergy and immunological activities. Int. Arch. Allergy Immunol. 2005, 138, 151–160. [Google Scholar] [CrossRef]
  71. Silverman, E.S.; Palmer, L.J.; Subramaniam, V.; Hallock, A.; Mathew, S.; Vallone, J.; Faffe, D.S.; Shikanai, T.; Raby, B.A.; Weiss, S.T.; Shore, S.A. Transforming growth factor-beta1 promoter polymorphism C-509T is associated with asthma. Am. J. Respir. Crit. Care Med. 2004, 169, 214–219. [Google Scholar] [CrossRef]
  72. Dunning, A.M.; Ellis, P.D.; McBride, S.; Kirschenlohr, H.L.; Healey, C.S.; Kemp, P.R.; Luben, R.N.; Chang-Claude, J.; Mannermaa, A.; Kataja, V.; Pharoah, P.D.; Easton, D.F.; Ponder, B.A.; Metcalfe, J.C. A transforming growth factorbeta1 signal peptide variant increases secretion in vitro and is associated with increased incidence of invasive breast cancer. Cancer Res. 2003, 63, 2610–2615. [Google Scholar]
  73. Hinke, V.; Seck, T.; Clanget, C.; Scheidt-Nave, C.; Ziegler, R.; Pfeilschifter, J. Association of transforming growth factor-beta1 (TGFbeta1) T29 --> C gene polymorphism with bone mineral density (BMD), changes in BMD, and serum concentrations of TGF-beta1 in a population-based sample of postmenopausal german women. Calcif. Tissue Int. 2001, 69, 315–320. [Google Scholar] [CrossRef]
  74. Yokota, M.; Ichihara, S.; Lin, T.L.; Nakashima, N.; Yamada, Y. Association of a T29-->C polymorphism of the transforming growth factor-beta1 gene with genetic susceptibility to myocardial infarction in Japanese. Circulation 2000, 101, 2783–2787. [Google Scholar] [CrossRef]
  75. Lv, K.; Chen, R.; Cai, Q.; Fang, M.; Sun, S. Effects of a single nucleotide polymorphism on the expression of human tumor necrosis factor-alpha. Scand. J. Immunol. 2006, 64, 164–169. [Google Scholar] [CrossRef]
  76. Kroeger, K.M.; Carville, K.S.; Abraham, L.J. The -308 tumor necrosis factor-alpha promoter polymorphism effects transcription. Mol. Immunol. 1997, 34, 391–399. [Google Scholar] [CrossRef]
  77. Louis, E.; Franchimont, D.; Piron, A.; Gevaert, Y.; Schaaf-Lafontaine, N.; Roland, S.; Mahieu, P.; Malaise, M.; De Groote, D.; Louis, R.; Belaiche, J. Tumour necrosis factor (TNF) gene polymorphism influences TNF-alpha production in lipopolysaccharide (LPS)-stimulated whole blood cell culture in healthy humans. Clin. Exp. Immunol. 1998, 113, 401–406. [Google Scholar] [CrossRef]
  78. Dominici, R.; Cattaneo, M.; Malferrari, G.; Archi, D.; Mariani, C.; Grimaldi, L.M.; Biunno, I. Cloning and functional analysis of the allelic polymorphism in the transcription regulatory region of interleukin-1 alpha. Immunogenetics 2002, 54, 82–86. [Google Scholar] [CrossRef]
  79. Chakravorty, M.; Datta De, D.; Choudhury, A.; Roychoudhury, S. IL1B promoter polymorphism regulates the expression of gastric acid stimulating hormone gastrin. Int. J. Biochem. Cell Biol. 2009, 41, 1502–1510. [Google Scholar] [CrossRef]
  80. Lind, H.; Haugen, A.; Zienolddiny, S. Differential binding of proteins to the IL1B -31 T/C polymorphism in lung epithelial cells. Cytokine 2007, 38, 43–48. [Google Scholar] [CrossRef]
  81. Michaud, D.S.; Daugherty, S.E.; Berndt, S.I.; Platz, E.A.; Yeager, M.; Crawford, E.D.; Hsing, A.; Huang, W.Y.; Hayes, R.B. Genetic polymorphisms of interleukin-1B (IL-1B), IL-6, IL-8, and IL-10 and risk of prostate cancer. Cancer Res. 2006, 66, 4525–4530. [Google Scholar] [CrossRef]
  82. Hwang, I.R.; Kodama, T.; Kikuchi, S.; Sakai, K.; Peterson, L.E.; Graham, D.Y.; Yamaoka, Y. Effect of interleukin 1 polymorphisms on gastric mucosal interleukin 1beta production in Helicobacter pylori infection. Gastroenterology 2002, 123, 1793–1803. [Google Scholar] [CrossRef]
  83. Xuan, J.; Deguchi, R.; Watanabe, S.; Ozawa, H.; Urano, T.; Ogawa, Y.; Fukuda, R.; Kijima, H.; Koga, Y.; Takagi, A. Relationship between IL-1beta gene polymorphism and gastric mucosal IL-1beta levels in patients with Helicobacter pylori infection. J. Gastroenterol. 2005, 40, 796–801. [Google Scholar] [CrossRef]
  84. Lindmark, F.; Zheng, S.L.; Wiklund, F.; Bälter, K.A.; Sun, J.; Chang, B.; Hedelin, M.; Clark, J.; Johansson, J.E.; Meyers, D.A.; Adami, H.O.; Isaacs, W.; Grönberg, H.; Xu, J. Interleukin-1 receptor antagonist haplotype associated with prostate cancer risk. Br. J. Cancer 2005, 93, 493–497. [Google Scholar] [CrossRef]
  85. Cheng, I.; Krumroy, L.M.; Plummer, S.J.; Casey, G.; Witte, J.S. MIC1 and IL1RN Genetic Variation and Advanced Prostate Cancer Risk. Cancer Epidemiol. Biomarkers Prev. 2007, 16, 1309–1311. [Google Scholar] [CrossRef]
  86. Tindall, E.A.; Hoang, H.N.; Southey, M.C.; English, D.R.; Hopper, J.L.; Giles, G.G.; Severi, G.; Hayes, V.M. The 4q27 locus and familial prostate cancer risk. BMC Cancer 2010, 10, 69. [Google Scholar] [CrossRef]
  87. Hoffmann, S.C.; Stanley, E.M.; Darrin Cox, E.; Craighead, N.; DiMercurio, B.S.; Koziol, D.E.; Harlan, D.M.; Kirk, A.D.; Blair, P.J. Association of cytokine polymorphic inheritance and in vitro cytokine production in anti-CD3/CD28-stimulated peripheral blood lymphocytes. Transplantation 2001, 72, 1444–1450. [Google Scholar] [CrossRef]
  88. Matesanz, F.; Fedetz, M.; Leyva, L.; Delgado, C.; Fernandez, O.; Alcina, A. Effects of the multiple sclerosis associated -330 promoter polymorphism in IL2 allelic expression. J. Neuroimmunol. 2004, 148, 212–217. [Google Scholar] [CrossRef]
  89. Nakashima, H.; Miyake, K.; Inoue, Y.; Shimizu, S.; Akahoshi, M.; Tanaka, Y.; Otsuka, T.; Harada, M. Association between IL-4 genotype and IL-4 production in the Japanese population. Genes Immun. 2002, 3, 107–109. [Google Scholar] [CrossRef]
  90. Sun, J.; Hedelin, M.; Zheng, S.L.; Adami, H.O.; Bensen, J.; Augustsson-Bälter, K.; Chang, B.; Adolfsson, J.; Adams, T.; Turner, A.; Meyers, D.A.; Isaacs, W.B.; Xu, J.; Grönberg, H. Interleukin-6 Sequence Variants Are not Associated with Prostate Cancer Risk Cancer Epidemiol. Biomarkers Prev. 2004, 13, 1677–1679. [Google Scholar]
  91. Pierce, B.L.; Biggs, M.L.; Decambre, M.; Reiner, A.P.; Li, C.; Fitzpatrick, A.; Carlson, C.S.; Stanford, J.L.; Austin, M.A. C-reactive protein, interleukin-6, and prostate cancer risk in men aged 65 years and older. Cancer Causes Cont. 2009, 20, 1193–1203. [Google Scholar] [CrossRef]
  92. Malarstig, A.; Wallentin, L.; Siegbahn, A. Genetic variation in the interleukin-6 gene in relation to risk and outcomes in acute coronary syndrome. Thromb. Res. 2007, 119, 467–473. [Google Scholar] [CrossRef]
  93. Eder, T.; Mayer, R.; Langsenlehner, U.; Renner, W.; Krippl, P.; Wascher, T.C.; Pummer, K.; Kapp, K.S. Interleukin-10 [ATA] promoter haplotype and prostate cancer risk: a population-based study. Eur. J. Cancer 2007, 43, 472–475. [Google Scholar] [CrossRef]
  94. Kang, D.; Lee, K.M.; Park, S.K.; Berndt, S.I.; Reding, D.; Chatterjee, N.; Welch, R.; Chanock, S.; Huang, W.Y.; Hayes, R.B. Lack of association of transforming growth factor-beta1 polymorphisms and haplotypes with prostate cancer risk in the prostate, lung, colorectal, and ovarian trial. Cancer Epidemiol. Biomarkers Prev. 2007, 16, 1303–1305. [Google Scholar] [CrossRef]
  95. Meyer, A.; Dork, T.; Bogdanova, N.; Brinkhaus, M.J.; Wiese, B.; Hagemann, J.; Serth, J.; Bremer, M.; Baumann, R.; Karstens, J.H.; Machtens, S. TGFB1 gene polymorphism Leu10Pro (c.29T>C), prostate cancer incidence and quality of life in patients treated with brachytherapy. World J. Urol. 2009, 27, 371–377. [Google Scholar] [CrossRef]
  96. Awad, M.R.; El-Gamel, A.; Hasleton, P.; Turner, D.M.; Sinnott, P.J.; Hutchinson, I.V. Genotypic variation in the transforming growth factor-beta1 gene: association with transforming growth factor-beta1 production, fibrotic lung disease, and graft fibrosis after lung transplantation. Transplantation 1998, 66, 1014–1020. [Google Scholar] [CrossRef]
  97. Danforth, K.N.; Rodriguez, C.; Hayes, R.B.; Sakoda, L.C.; Huang, W.Y.; Yu, K.; Calle, E.E.; Jacobs, E.J.; Chen, B.E.; Andriole, G.L.; Figueroa, J.D.; Yeager, M.; Platz, E.A.; Michaud, D.S.; Chanock, S.J.; Thun, M.J.; Hsing, A.W. TNF polymorphisms and prostate cancer risk. Prostate 2008, 68, 400–407. [Google Scholar] [CrossRef]
  98. Wilson, A.G.; Symons, J.A.; McDowell, T.L.; McDevitt, H.O.; Duff, G.W. Effects of a polymorphism in the human tumor necrosis factor alpha promoter on transcriptional activation. Proc. Natl. Acad. Sci. USA 1997, 94, 3195–3199. [Google Scholar] [CrossRef]
  99. Huizinga, T.W.; Westendorp, R.G.; Bollen, E.L.; Keijsers, V.; Brinkman, B.M.; Langermans, J.A.; Breedveld, F.C.; Verweij, C.L.; van de Gaer, L.; Dams, L.; Crusius, J.B.; Garcia-Gonzalez, A.; van Oosten, B.W.; Polman, C.H.; Pena, A.S. TNF-alpha promoter polymorphisms, production and susceptibility to multiple sclerosis in different groups of patients. J. Neuroimmunol. 1997, 72, 149–153. [Google Scholar] [CrossRef]
  100. Crawley, E.; Kay, R.; Sillibourne, J.; Patel, P.; Hutchinson, I.; Woo, P. Polymorphic haplotypes of the interleukin-10 5' flanking region determine variable interleukin-10 transcription and are associated with particular phenotypes of juvenile rheumatoid arthritis. Arthritis. Rheum. 1999, 42, 1101–1108. [Google Scholar] [CrossRef]
  101. Rad, R.; Dossumbekova, A.; Neu, B.; Lang, R.; Bauer, S.; Saur, D.; Gerhard, M.; Prinz, C. Cytokine gene polymorphisms influence mucosal cytokine expression, gastric inflammation, and host specific colonisation during Helicobacter pylori infection. Gut 2004, 53, 1082–1089. [Google Scholar] [CrossRef]
  102. Balkwill, F. Cancer and the chemokine network. Nat. Rev. Cancer 2004, 4, 540–550. [Google Scholar]
  103. Gerber, P.A.; Hippe, A.; Buhren, B.A.; Muller, A.; Homey, B. Chemokines in tumor-associated angiogenesis. Biol. Chem. 2009, 390, 1213–1223. [Google Scholar]
  104. Vandercappellen, J.; Van Damme, J.; Struyf, S. The role of CXC chemokines and their receptors in cancer. Cancer Lett. 2008, 267, 226–244. [Google Scholar] [CrossRef]
  105. Shen, H.; Lentsch, A.B. Progressive dysregulation of transcription factors NF-kappa B and STAT1 in prostate cancer cells causes proangiogenic production of CXC chemokines. Am. J. Physiol. Cell Physiol. 2004, 286, C840–C847. [Google Scholar] [CrossRef]
  106. Vindrieux, D.; Escobar, P.; Lazennec, G. Emerging roles of chemokines in prostate cancer. Endocr. Relat. Cancer 2009, 16, 663–673. [Google Scholar] [CrossRef]
  107. Waugh, D.J.; Wilson, C.; Seaton, A.; Maxwell, P.J. Multi-faceted roles for CXC-chemokines in prostate cancer progression. Front Biosci. 2008, 13, 4595–4604. [Google Scholar]
  108. Haverkamp, J.; Charbonneau, B.; Ratliff, T.L. Prostate inflammation and its potential impact on prostate cancer: a current review. J. Cell Biochem. 2008, 103, 1344–1353. [Google Scholar] [CrossRef]
  109. Yang, H.P.; Woodson, K.; Taylor, P.R.; Pietinen, P.; Albanes, D.; Virtamo, J.; Tangrea, J.A. Genetic variation in interleukin 8 and its receptor genes and its influence on the risk and prognosis of prostate cancer among Finnish men in a large cancer prevention trial. Eur. J. Cancer Prev. 2006, 15, 249–253. [Google Scholar] [CrossRef]
  110. Hirata, H.; Hinoda, Y.; Kikuno, N.; Kawamoto, K.; Dahiya, A.V.; Suehiro, Y.; Tanaka, Y.; Dahiya, R. CXCL12 G801A polymorphism is a risk factor for sporadic prostate cancer susceptibility. Clin. Cancer Res. 2007, 13, 5056–5062. [Google Scholar] [CrossRef]
  111. Petersen, D.C.; Severi, G.; Hoang, H.N.; Padilla, E.J.; Southey, M.C.; English, D.R.; Hopper, J.L.; Giles, G.G.; Hayes, V.M. No association between common chemokine and chemokine receptor gene variants and prostate cancer risk. Cancer Epidemiol. Biomarkers Prev. 2008, 17, 3615–3617. [Google Scholar] [CrossRef]
  112. Balistreri, C.R.; Carruba, G.; Calabro, M.; Campisi, I.; Di Carlo, D.; Lio, D.; Colonna-Romano, G.; Candore, G.; Caruso, C. CCR5 proinflammatory allele in prostate cancer risk: a pilot study in patients and centenarians from Sicily. Ann. N. Y. Acad. Sci. 2009, 1155, 289–292. [Google Scholar]
  113. Rovin, B.H.; Lu, L.; Saxena, R. A novel polymorphism in the MCP-1 gene regulatory region that influences MCP-1 expression. Biochem. Biophys. Res. Commun. 1999, 259, 344–348. [Google Scholar] [CrossRef]
  114. Nickel, R.G.; Casolaro, V.; Wahn, U.; Beyer, K.; Barnes, K.C.; Plunkett, B.S.; Freidhoff, L.R.; Sengler, C.; Plitt, J.R.; Schleimer, R.P.; Caraballo, L.; Naidu, R.P.; Levett, P.N.; Beaty, T.H.; Huang, S.K. Atopic dermatitis is associated with a functional mutation in the promoter of the C-C chemokine RANTES. J. Immunol. 2000, 164, 1612–1616. [Google Scholar]
  115. Liu, R.; Paxton, W.A.; Choe, S.; Ceradini, D.; Martin, S.R.; Horuk, R.; MacDonald, M.E.; Stuhlmann, H.; Koup, R.A.; Landau, N.R. Homozygous defect in HIV-1 coreceptor accounts for resistance of some multiply-exposed individuals to HIV-1 infection. Cell 1996, 86, 367–377. [Google Scholar] [CrossRef]
  116. Nakayama, E.E.; Tanaka, Y.; Nagai, Y.; Iwamoto, A.; Shioda, T. A CCR2-V64I polymorphism affects stability of CCR2A isoform. AIDS 2004, 18, 729–738. [Google Scholar] [CrossRef]
  117. Hull, J.; Thomson, A.; Kwiatkowski, D. Association of respiratory syncytial virus bronchiolitis with the interleukin 8 gene region in UK families. Thorax 2000, 55, 1023–1027. [Google Scholar] [CrossRef]
  118. Winkler, C.; Modi, W.; Smith, M.W.; Nelson, G.W.; Wu, X.; Carrington, M.; Dean, M.; Honjo, T.; Tashiro, K.; Yabe, D.; Buchbinder, S.; Vittinghoff, E.; Goedert, J.J.; O'Brien, T.R; Jacobson, L.P.; Detels, R.; Donfield, S.; Willoughby, A.; Gomperts, E.; Vlahov, D.; Phair, J.; O'Brien, S.J. Genetic restriction of AIDS pathogenesis by an SDF-1 chemokine gene variant. ALIVE Study, Hemophilia Growth and Development Study (HGDS), Multicenter AIDS Cohort Study (MACS), Multicenter Hemophilia Cohort Study (MHCS), San Francisco City Cohort (SFCC). Science 1998, 279, 389–393. [Google Scholar] [CrossRef]
  119. Faure, S.; Meyer, L.; Costagliola, D.; Vaneensberghe, C.; Genin, E.; Autran, B.; Delfraissy, J.F.; McDermott, D.H.; Murphy, P.M.; Debre, P.; Theodorou, I.; Combadiere, C. Rapid progression to AIDS in HIV+ individuals with a structural variant of the chemokine receptor CX3CR1. Science 2000, 287, 2274–2277. [Google Scholar] [CrossRef]
  120. Hattersley, A.T.; McCarthy, M.I. What makes a good genetic association study? Lancet 2005, 366, 1315–1323. [Google Scholar] [CrossRef]
  121. Williams, H.; Powell, I.J. Epidemiology, pathology, and genetics of prostate cancer among African Americans compared with other ethnicities. Methods Mol. Biol. 2009, 472, 439–453. [Google Scholar] [CrossRef]
  122. Yu, K.; Wang, Z.; Li, Q.; Wacholder, S.; Hunter, D.J.; Hoover, R.N.; Chanock, S.; Thomas, G. Population substructure and control selection in genome-wide association studies. PLoS ONE 2008, 3, e2551. [Google Scholar]
  123. Varghese, J.S.; Easton, D.F. Genome-wide association studies in common cancers-what have we learnt? Curr. Opin. Genet. Dev. 2010. [Google Scholar] [CrossRef]
  124. Schork, N.J.; Murray, S.S.; Frazer, K.A.; Topol, E.J. Common vs.. rare allele hypotheses for complex diseases. Curr. Opin. Genet. Dev. 2009, 19, 212–219. [Google Scholar] [CrossRef]
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