Literature DB >> 22359464

Are Toll-like receptor gene polymorphisms associated with prostate cancer?

Anton G Kutikhin1, Arseniy E Yuzhalin.   

Abstract

The suggestion that there is a connection between chronic intraprostatic inflammation and prostate cancer was declared some years ago. As Toll-like receptors (TLRs) are the key players in the processes of chronic intraprostatic inflammation, there is a hypothesis that TLR gene polymorphisms may be associated with prostate cancer risk. Although a number of comprehensive studies have been conducted on large samples in various countries, reliable connections between these single nucleotide polymorphisms and prostate cancer risk, stage, grade, aggressiveness, ability to metastasize, and mortality have not been detected. Results have also varied slightly in different populations. The data obtained regarding the absence of connection between the polymorphisms of the genes encoding interleukin-1 receptor-associated kinases (IRAK1 and IRAK4) and prostate cancer risk might indicate a lack of association between inherited variation in the TLR signaling pathway and prostate cancer risk. It is possible to consider that polymorphisms of genes encoding TLRs and proteins of the TLR pathway also do not play a major role in the etiology and pathogenesis of prostate cancer. Feasibly, it would be better to focus research on associations between TLR single nucleotide polymorphisms and cancer risk in other infection-related cancer types.

Entities:  

Keywords:  TLRs; genetic variation; inflammation; innate immunity; single nucleotide polymorphisms

Year:  2012        PMID: 22359464      PMCID: PMC3284260          DOI: 10.2147/CMAR.S28683

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Discussion

The results of a number of studies investigating the connections between sexually transmitted infections and prostatitis, between prostatitis and prostate cancer, and between genetic and circulating markers of inflammation and response to infection all support the hypothesis that there is a connection between chronic intraprostatic inflammation and prostate cancer.1 The list of causes of such inflammation includes exposure to various infectious agents, autoimmune disorders, damage from mechanical injuries, and chemical carcinogens (as exogenous as endogenous, for instance, certain hormones).1 Toll-like receptors (TLRs) constitute a family of receptors that recognize pathogen-associated and damage-associated molecular patterns, consequently playing a key role in innate and adaptive immune response, initiating the aforementioned inflammation. It has been suggested that TLR gene polymorphisms may affect TLR signaling, and, as a consequence, may influence TLR-mediated immune response, modulating prostate cancer risk.2 Since 2004, when Zheng et al2 published the first paper devoted to the investigation of the role of TLR single nucleotide polymorphisms (SNPs) in cancer etiology, a number of other studies on this subject have been carried out. Nevertheless, results are rather discouraging: although Zheng et al2 found the rs11536889 polymorphism is associated with increased prostate cancer risk and Chen et al3 observed that the G allele of the rs2770150 polymorphism may be a high-risk one, Lindström et al’s7 recent meta-analysis combining the results of Zheng et al2 and Chen et al3 with three more large comprehensive studies4–6 did not reveal any correlation between TLR gene polymorphisms and prostate cancer risk. In addition, no high-risk alleles were detected in a large study by Stevens et al,8 not included in Lindström et al’s7 pooled analysis. The results of all four large studies4–6,8 devoted to the association of polymorphisms of the TLR6-1-10 gene cluster with cancer risk suggest there is no correlation and that these SNPs cannot be considered promising for the further analysis of their association with prostate cancer risk. Balistreri et al9 obtained similar null results for TLR2 and TLR4 SNPs. Positive results were found only for TLR4 gene polymorphisms by Cheng et al10 (rs10759932, odds ratio [OR] = 4.62, 95% confidence interval [CI]: 1.55–13.78 for variant homozygous genotype), Song et al11 (rs1927911, OR = 2.73, 95% CI: 1.54–4.87 for heterozygous genotype; OR = 6.68, 95% CI: 3.27–13.66 for variant homozygous genotype; rs11536858, OR = 2.3, 95% CI: 1.07–4.93 for heterozygous genotype), Wang et al12 (rs10116253, OR = 3.05, 95% CI: 1.11–8.41 for variant homozygous genotype), and Kim et al13 (rs11536889, OR = 1.81, 95% CI: 1.29–2.53 for heterozygous genotype). However, these SNPs were not detected as risk factors in Lindström et al’s7 meta-analysis and therefore it is not possible to consider them as definite risk factors overall. Additionally, Shui et al,14 who carried out the most recent large investigation on this subject, did not detect any association between TLR4 gene polymorphisms and prostate cancer risk. The results of all studies mentioned are summarized in Tables 1 and 2.
Table 1

Association of TLR2 and TLR4 gene polymorphisms with prostate cancer risk

ReferenceSNPSample sizeOR (95% CI)*
TLR2
Balistreri et al9 (Italian population)rs57437082029C/T50 cases, 125 controls, 55 male centenariansNANA (with age-matched controls)
TLR4
Zheng et al2 (Swedish population)rs115368891383 cases, 780 controlsCarriers of C allele: 1.26 (1.01–1.57) [Before 65 years: 1.39 (1.02–1.91)]
rs5030721NA
rs4986790NA
rs2149356NA
Chen et al3 (US population)rs2770150700 cases, 700 controlsCarriers of one G allele: 1.38 (1.10–1.73)
rs11536858NA
rs6478317Carriers of GG genotype: 0.66 (0.46–0.94)
rs10116253Carriers of CC genotype: 0.59 (0.39–0.90)
rs1927914Carriers of GG genotype: 0.64 (0.45–0.93)
rs10759932Carriers of one C allele: 0.73 (0.57–0.93)
rs1927911Carriers of AA genotype: 0.63 (0.41–0.95)
rs11536878NA
rs5030717Carriers of one G allele: 0.66 (0.51–0.86)
rs2149356Carriers of TT genotype: 0.64 (0.45–0.91)
rs4986790NA
rs11536889NA
rs7873784Carriers of CC genotype: 0.51 (0.28–0.96)
rs11536891Carriers of CC genotype: 0.50 (0.27–0.95)
rs11536897NA
rs1536898Carriers of AA genotype: 0.38 (0.16–0.92)
Cheng et al10 (US population)rs10759932506 cases, 506 controlsCarriers of CC genotype: 4.62 (1.55–13.78)
rs2149356NA
rs5030728Carriers of AA genotype: 0.91 (0.70–1.19)
rs4986790NA
rs11536889NA
rs7873784NA
Yeager et al5 (European population)rs19282981172 cases, 1157 controlsNA
rs1360094NA
rs4837496NA
rs10818070NA
rs10759930NA
rs2737191NA
rs2770150NA
rs6478317NA
rs10116253NA
rs1927914NA
rs10759932NA
rs1927911NA
rs11536879NA
rs5030717NA
rs2149356NA
rs4986790NA
rs7873784NA
rs11536897NA
rs1927906NA
rs11536898NA
rs1554973NA
rs913930NA
rs1927905NA
rs7045953NA
Song et al11 (Korean population)rs1927911157 cases, 143 controlsCarriers of TC genotype: 2.73 (1.54–4.87)Carriers of CC genotype: 6.68 (3.27–13.66)
rs11536858Carriers of GG genotype: 2.3 (1.07–4.93)
rs1927914NA
rs11536891NA
rs11536897NA
Wang et al12 (US population)rs4986790258 cases, 258 controlsCarriers of G allele: 0.60 (0.33–1.08) [Men younger than 65 years: 0.26 (0.08–0.87)]
rs11536889Carriers of C allele: 0.50 (0.28–0.89) (patients with normal cholesterol) 1.65 (0.98–2.78) (patients with elevated cholesterol)
rs10116253Carriers of CC genotype: 3.05 (1.11–8.41)
rs1927911NA
rs1927914NA
rs2149356NA
rs7873784NA
rs11536891NA
rs11536898NA
rs2737190NA
Balistreri et al9 (Italian population)rs498679050 cases, 125 age-matched controls, 55 centenarian controlsNA
rs4986791NA (with age-matched controls)
Lindström et al7 (meta-analysis of Zheng et al,2 Chen et al,3 and Yeager et al5)rs1928298Pooled analysis: 3101 cases, 2253 controlsNA
rs1360094NA
rs4837496NA
rs10818070NA
rs10759930NA
rs2737191NA
rs2770150NA
rs11536858NA
rs6478317NA
rs10116253NA
rs1927914NA
rs10759932NA
rs1927911NA
rs10759933NA
rs11536871NA
rs11536879NA
rs5030317NA
rs2149356NA
rs4986790NA
rs5030721NA
rs11536889NA
rs7873784NA
rs11536891NA
rs11536897NA
rs1927906NA
rs11536898NA
rs1554973NA
rs913930NA
rs1927905NA
rs7045953NA
Kim et al13 (Korean population)rs10983755240 cases, 223 controlsNA
rs10759932NA
rs1927911NA
rs11536879NA
rs12377632NA
rs5030717NA
rs2149356NA
rs5030718NA
rs7869402NA
rs115368891.81 (1.29–2.53) (for heterozygous genotype)
rs7873784NA
Shui et al14 (US population)Ten TLR4 gene polymorphisms1286 cases, 1267 controlsNA
NA
NA
NA
NA
NA
NA
NA
NA
NA

Note:

Only positive or negative statistically significant results.

Abbreviations: CI, confidence interval; NA, no association; OR, odds ratio; SNP, single nucleotide polymorphism; TLR, Toll-like receptor; US, United States.

Table 2

Association of polymorphisms of TLR6-1-10 gene cluster with prostate cancer risk

ReferenceSNPSample sizeOR (95% CI)*
Stevens et al8 (US population)TLR10: rs4129009 (MAF 18%–18.5%)1414 cases, 1414 controlsNA
rs11466657 (MAF 3.09%–3.38%)NA
rs11466655 (MAF 0.72%–0.76%)NA
rs11096955 (MAF 32.6%–35.8%)A/C compared with A/A: 0.84 (0.72–0.98)C/C compared with A/A: 0.78 (0.61–0.99)
rs11096956 (MAF 21.1%–23.5%)NA
rs11466653 (MAF 2.94%–3.93%)NA
rs11466651 (MAF 3.14%–3.74%)NA
rs11096957 (MAF 32.6%–35.8%)A/C compared with A/A: 0.84 (0.72–0.98)C/C compared with A/A: 0.78 (0.61–0.99)
rs11466649 (MAF 3.3%–3.84%)NA
rs10856838 (MAF 14.7%–16.4%)NA
rs4274855 (MAF 18%–18.5%)NA
rs11466640 (MAF 18.1%–18.6%)NA
rs11466617 (MAF 18%–18.6%)NA
rs7653908 (MAF 21.1%–20.6%)NA
rs7658893 (MAF 23.6%–25.2%)NA
TLR1: rs4624663 (MAF 2.46%–2.18%)NA
rs4833095 (MAF 23.4%–26.8%)T/C compared with T/T: 0.90 (0.77–1.05)C/C compared with TT/T: 0.64 (0.47–0.86)
rs5743611 (MAF 8.6%–8.8%)NA
rs5743604 (MAF 23.9%–24.2%)NA
rs5743596 (MAF 14.9%–18.5%)C/T compared with C/C: 0.79 (0.66–0.93)T/T compared with C/C: 0.59 (0.38–0.91)
rs5743595 (MAF 17.4%–20.6%)T/C compared with T/T: 0.82 (0.70–0.97)C/C compared with T/T: 0.63 (0.42–0.93)
rs5743594 (MAF 19.8%–17.7%)NA
rs5743556 (MAF 19%–19.6%)NA
rs5743551 (MAF 23.7%–26.7%)A/G compared with A/A: 0.90 (0.77–1.06)G/G compared with A/A: 0.67 (0.50–0.91)
TLR6: rs5743815 (MAF 1.91%–1.27%)NA
rs5743810 (MAF 42.1%–42.7%)NA
rs5743806 (MAF 30.3%–30.6%)NA
rs5743795 (MAF 19.9%–20.2%)NA
Chen et al6 (US population)rs5743788 (MAF 50%–49%)659 cases, 656 controlsNA
rs5743795 (MAF 19%–21%)NA
rs5743806 (MAF 31%–30%)NA
rs1039599 (MAF 46%–46%)NA
rs5743810 (MAF 42%–41%)NA
rs3821985 (MAF 34%–33%)NA
rs5743815 (MAF 1%–2%)NA
rs5743551 (MAF 24%–26%)NA
rs5743556 (MAF 18%–19%)NA
rs5743604 (MAF 23%–26%)NA
rs5743611 (MAF 8%–9%)NA
rs4624663 (MAF 4%–4%)NA
rs11466617 (MAF 17%–18%)NA
rs11466640 (MAF 17%–19%)NA
rs4274855 (MAF 18%–19%)NA
rs11096957 (MAF 33%–36%)NA
rs11096955 (MAF 33%–36%)NA
rs11466657 MAF (4%–4%)NA
rs4129009 (MAF 17%–18%)NA
Yeager et al5 (European population)rs100084921172 cases, 1157 controlsNA
rs4331786NA
rs11466657NA
rs11096957NA
rs10856839NA
rs11466640NA
rs11466619NA
rs11466612NA
rs7663239NA
rs4543123NA
rs4833095NA
rs5743594NA
rs5743563NA
rs4833103NA
rs7696175NA
rs5743810NA
rs1039559NA
rs6833914NA
rs6531673NA
Sun et al4 (Swedish population)TLR6: 2113 C/G (73.76%–76.35% C/G and G/G)1383 cases, 780 controlsNA
rs5743795 (32.8%–26.24% A/G and AA)A/G and A/A compared with G/G: 1.38 (1.12–1.70)
rs5743806 (89.12%–89.33% C/T and T/T)C/T and T/T compared with C/C: 0.98 (0.73–1.31)
rs5743810 (82.84%–82.84% C/T and C/C)NA
rs5743815 (3.44%–2.9% C/T and C/C)NA
TLR1: rs5743551 (40.16%–34.32% A/G and G/G)A/G and G/G compared with A/A: 1.29 (1.06–1.56)
rs5743556 (32.67%–26.65% C/T and C/C)C/T and C/C compared with T/T: 1.33 (1.09–1.62)
rs5743604 (42.1%–35.69% C/T and C/C)C/T and C/C compared with T/T: 1.30 (1.08–1.60)
rs5743611 (98.35%–98.21% G/C and G/G)NA
rs4624663 (7.79%–7.16% G/A and G/G)NA
TLR10: 3260C/T (29.79%–26.06% T/C and C/C)T/C and C/C compared with T/T: 1.20 (0.99–1.46)
1692C/T (30.34%–26.04% C/T and T/T)C/T and T/T compared with C/C: 1.23 (1.01–1.50)
rs4274855 (32.04%–26.93% A/G and A/A)A/G and A/A compared with G/G: 1.27 (1.04–1.56)
rs11096957 (60.18%–55.85% A/C and C/C)A/C and C/C compared with A/A: 1.20 (1.00–1.43)
rs11096955 (57.19%–51.70% A/C and C/C)A/C and C/C compared with A/A: 1.25 (1.04–1.50)
rs11466657 (4.39%–4.08% T/C)NA
rs4129009 (31.20%–26.31% G/A and G/G)G/A and G/G compared with A/A: 1.26 (1.03–1.54)
Lindström et al7 (meta-analysis of Sun et al,4 Chen et al,6 and Yeager et al5)rs100084923101 cases, 2523 controlsNA
rs4331786NA
rs4129009NA
rs11466657NA
rs11096955NA
rs11096957NA
rs10856839NA
rs4274855NA
rs11466640NA
rs11466619NA
rs11466617NA
rs11466612NA
rs7663239NA
rs4543123NA
rs4624663NA
rs4833095NA
rs5743611NA
rs5743604NA
rs5743594NA
rs5743563NA
rs5743556NA
rs5743551NA
rs4833103NA
rs7696175NA
rs5743815NA
rs3821985NA
rs5743810NA
rs1039559NA
rs5743806NA
rs5743795NA
rs5743788NA
rs6833914NA
rs6531673NA

Note:

Only positive or negative statistically significant results.

Abbreviations: CI, confidence interval; MAF, minor allele frequency; OR, odds ratio; SNP, single nucleotide polymorphism; TLR, Toll-like receptor.

All of those who have investigated the association between TLR gene polymorphisms and features of prostate cancer pathogenesis (stage, aggressiveness, Gleason grade, metastases), as well as the association between TLR gene polymorphisms and prostate cancer mortality, obtained negative results. This suggests there is no connection between TLR gene polymorphisms and the pathogenetic peculiarities of prostate cancer.2–4,6,7,11,13,14 The active investigation of a correlation between TLR SNPs and prostate cancer is intriguing. Despite there being some fundamental mechanisms that indicate TLR gene polymorphisms may play a role in prostate cancer etiology, and despite there being a number of comprehensive studies conducted on large samples in various countries, reliable connections between these SNPs and prostate cancer risk or features of prostate cancer progression have not been detected. Results have also varied slightly in different populations. However, it is possible that some of the TLR gene polymorphisms may be the markers of prostate cancer risk in certain populations (eg, rs5743795, rs5743551, rs5743556, rs5743604, rs4274855, rs11096957, rs11096955, and rs4129009 in the Swedish population;4 rs11536889 in the Swedish and the Korean populations;2,13 rs2770150, s10759932, and rs10116253 in the US population;3,10,12 rs1927911 and rs11536858 in the Korean population11). However, Lindström et al’s7 meta-analysis, in which all of the populations mentioned above were considered, revealed that TLR gene polymorphisms cannot be the markers of prostate cancer overall and therefore they should be considered as risk markers, even in populations where the association has been found.7 Apparently, the lack of sample size was not the reason for negative results in either the general meta-analysis or in specific studies in particular populations, because the investigations in Swedish,2,4,15 European,5 and US populations3,6,8,10,12 included a large number of case and control subjects. Although two Korean studies11,13 had relatively small sample sizes, a recent large study in the Korean population also obtained negative results.14 Therefore, the statistical power of almost all of the studies was sufficient. Population stratification in various studies revealed no subcategorical differences when compared with general results, although a dependence of association on age was found in one study in the Swedish population,2 and cholesterol level was found to influence the association in one study in the US population.12 However, alone these results cannot provide sufficient information on the subcategorical modification of association of TLR gene polymorphisms with prostate cancer. In addition, there are no studies considering the gene-gene and gene-environment interactions in relation to prostate cancer. Sun et al15 did not observe any correlation between polymorphisms of the genes encoding the interleukin-1 receptor-associated kinases (IRAK1 and IRAK4) and prostate cancer. The data obtained by Sun et al15 might also reflect a lack of association between inherited variation in genes encoding proteins of the TLR signaling pathway and prostate cancer risk, since IRAK1 and IRAK4 are key proteins of this pathway.

Conclusion

In conclusion, it is possible to suggest that TLR and TLR pathway gene polymorphisms do not play a major role in the etiology of prostate cancer, although in certain populations their minor role can be established. Feasibly, it would be better to focus research on associations between TLR SNPs and cancer risk in other infection-related cancer types.
  15 in total

1.  A pilot study on prostate cancer risk and pro-inflammatory genotypes: pathophysiology and therapeutic implications.

Authors:  C R Balistreri; C Caruso; G Carruba; V Miceli; I Campisi; F Listì; D Lio; G Colonna-Romano; G Candore
Journal:  Curr Pharm Des       Date:  2010       Impact factor: 3.116

2.  Proliferative inflammatory atrophy of the prostate: implications for prostatic carcinogenesis.

Authors:  A M De Marzo; V L Marchi; J I Epstein; W G Nelson
Journal:  Am J Pathol       Date:  1999-12       Impact factor: 4.307

3.  Sequence variants in the TLR4 and TLR6-1-10 genes and prostate cancer risk. Results based on pooled analysis from three independent studies.

Authors:  Sara Lindström; David J Hunter; Henrik Grönberg; Pär Stattin; Fredrik Wiklund; Jianfeng Xu; Stephen J Chanock; Richard Hayes; Peter Kraft
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-03       Impact factor: 4.254

4.  Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.

Authors:  Meredith Yeager; Nick Orr; Richard B Hayes; Kevin B Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian J Staats; Eugenia E Calle; Heather Spencer Feigelson; Michael J Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie Weinstein; Fredrick R Schumacher; Edward Giovannucci; Walter C Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L Andriole; Edward P Gelmann; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert Hoover; David J Hunter; Stephen J Chanock; Gilles Thomas
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

5.  Sequence variants of toll-like receptor 4 are associated with prostate cancer risk: results from the CAncer Prostate in Sweden Study.

Authors:  S Lilly Zheng; Katarina Augustsson-Bälter; Baoli Chang; Maria Hedelin; Liwu Li; Hans-Olov Adami; Jeanette Bensen; Ge Li; Jan-Erik Johnasson; Aubrey R Turner; Tamara S Adams; Deborah A Meyers; William B Isaacs; Jianfeng Xu; Henrik Grönberg
Journal:  Cancer Res       Date:  2004-04-15       Impact factor: 12.701

6.  Interactions of sequence variants in interleukin-1 receptor-associated kinase4 and the toll-like receptor 6-1-10 gene cluster increase prostate cancer risk.

Authors:  Jielin Sun; Fredrik Wiklund; Fang-Chi Hsu; Katarina Bälter; S Lilly Zheng; Jan-Erik Johansson; Baoli Chang; Wennuan Liu; Tao Li; Aubrey R Turner; Liwu Li; Ge Li; Hans-Olov Adami; William B Isaacs; Jianfeng Xu; Henrik Grönberg
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-03       Impact factor: 4.254

7.  The association between Toll-like receptor 4 (TLR4) polymorphisms and the risk of prostate cancer in Korean men.

Authors:  Jaemann Song; Duk Yoon Kim; Choung Soo Kim; Hyung Jin Kim; Dong Hyeon Lee; Hyun Moo Lee; Woojin Ko; Gilho Lee
Journal:  Cancer Genet Cytogenet       Date:  2009-04-15

8.  Association of IL10 and other immune response- and obesity-related genes with prostate cancer in CLUE II.

Authors:  Ming-Hsi Wang; Kathy J Helzlsouer; Michael W Smith; Judith A Hoffman-Bolton; Sandra L Clipp; Viktoriya Grinberg; Angelo M De Marzo; William B Isaacs; Charles G Drake; Yin Yao Shugart; Elizabeth A Platz
Journal:  Prostate       Date:  2009-06-01       Impact factor: 4.104

9.  Genetic variation in the toll-like receptor gene cluster (TLR10-TLR1-TLR6) and prostate cancer risk.

Authors:  Victoria L Stevens; Ann W Hsing; Jeffrey T Talbot; Siqun Lilly Zheng; Jielin Sun; Jinbo Chen; Michael J Thun; Jianfeng Xu; Eugenia E Calle; Carmen Rodriguez
Journal:  Int J Cancer       Date:  2008-12-01       Impact factor: 7.396

10.  Association between Toll-like receptor gene cluster (TLR6, TLR1, and TLR10) and prostate cancer.

Authors:  Yen-Ching Chen; Edward Giovannucci; Peter Kraft; Ross Lazarus; David J Hunter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-10       Impact factor: 4.254

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  5 in total

1.  Correlation between genetic polymorphisms within IL-1B and TLR4 genes and cancer risk in a Russian population: a case-control study.

Authors:  Anton G Kutikhin; Arseniy E Yuzhalin; Alexey N Volkov; Alexey S Zhivotovskiy; Elena B Brusina
Journal:  Tumour Biol       Date:  2014-01-21

2.  Two SNPs in the promoter region of Toll-like receptor 4 gene are not associated with smoking in Saudi Arabia.

Authors:  Muhammad Kohailan; Mohammad Alanazi; Mahmoud Rouabhia; Abdullah Al Amri; Narasimha Reddy Parine; Abdelhabib Semlali
Journal:  Onco Targets Ther       Date:  2017-02-09       Impact factor: 4.147

3.  A Prospective Evaluation of the Association between a Single Nucleotide Polymorphism rs3775291 in Toll-Like Receptor 3 and Breast Cancer Relapse.

Authors:  Dan-Na Chen; Chuan-Gui Song; Ke-Da Yu; Yi-Zhou Jiang; Fu-Gui Ye; Zhi-Ming Shao
Journal:  PLoS One       Date:  2015-07-30       Impact factor: 3.240

Review 4.  Toll-like receptors in prostate infection and cancer between bench and bedside.

Authors:  Guido Gambara; Paola De Cesaris; Cosimo De Nunzio; Elio Ziparo; Andrea Tubaro; Antonio Filippini; Anna Riccioli
Journal:  J Cell Mol Med       Date:  2013-04-04       Impact factor: 5.310

Review 5.  Toll-like receptors and prostate cancer.

Authors:  Shu Zhao; Yifan Zhang; Qingyuan Zhang; Fen Wang; Dekai Zhang
Journal:  Front Immunol       Date:  2014-07-23       Impact factor: 7.561

  5 in total

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