Literature DB >> 19029192

A pooled investigation of Toll-like receptor gene variants and risk of non-Hodgkin lymphoma.

Mark P Purdue1, Qing Lan, Sophia S Wang, Anne Kricker, Idan Menashe, Tong-Zhang Zheng, Patricia Hartge, Andrew E Grulich, Yawei Zhang, Lindsay M Morton, Claire M Vajdic, Theodore R Holford, Richard K Severson, Brian P Leaderer, James R Cerhan, Meredith Yeager, Wendy Cozen, Kevin Jacobs, Scott Davis, Nathaniel Rothman, Stephen J Chanock, Nilanjan Chatterjee, Bruce K Armstrong.   

Abstract

Toll-like receptors (TLRs) may influence the development of non-Hodgkin lymphoma (NHL) given their important roles in recognizing microbial pathogens and stimulating multiple immune pathways. We conducted an investigation of TLR gene variants in a pooled analysis including three population-based case-control studies of NHL (1946 cases and 1808 controls). Thirty-six tag single-nucleotide polymorphisms (SNPs) in TLR2, TLR4 and the TLR10-TLR1-TLR6 gene cluster were genotyped. Two TLR10-TLR1-TLR6 variants in moderate linkage disequilibrium were significantly associated with NHL: rs10008492 [odds ratio for CT genotype (OR(CT)) 1.12, 95% confidence interval (CI) 0.97-1.30; OR(TT) 1.40, 95% CI 1.15-1.71; P(trend) = 0.001] and rs4833103 (OR(AC) 0.75, 95% CI 0.64-0.88; OR(AA) 0.74, 95% CI 0.62-0.90; P(trend) = 0.002; P(dominant) = 0.0002). Associations with these SNPs were consistent across all the three studies and did not appreciably differ by histologic subtype. We found little evidence of association between TLR2 variation and all NHL, although the rare variant rs3804100 was significantly associated with marginal zone lymphoma (MZL), both overall (OR(CT/CC) 1.89, 95% CI 1.27-2.81; P(dominant) = 0.002) and in two of the three studies. No associations with TLR4 variants were observed. This pooled analysis provides strong evidence that variation in the TLR10-TLR1-TLR6 region is associated with NHL risk and suggests that TLR2 variants may influence susceptibility to MZL.

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Year:  2008        PMID: 19029192      PMCID: PMC2639046          DOI: 10.1093/carcin/bgn262

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  49 in total

1.  Gene polymorphisms in Toll-like receptors, interleukin-10, and interleukin-10 receptor alpha and lymphoma risk.

Authors:  A Nieters; L Beckmann; E Deeg; N Becker
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2.  Resampling-based multiple hypothesis testing procedures for genetic case-control association studies.

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3.  Genetic variation and willingness to participate in epidemiologic research: data from three studies.

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4.  Polymorphisms in innate immunity genes and risk of non-Hodgkin lymphoma.

Authors:  Matthew S Forrest; Christine F Skibola; Tracy J Lightfoot; Paige M Bracci; Eleanor V Willett; Martyn T Smith; Elizabeth A Holly; Eve Roman
Journal:  Br J Haematol       Date:  2006-06-01       Impact factor: 6.998

Review 5.  Toll like receptors and viruses.

Authors:  Robert W Finberg; Jennifer P Wang; Evelyn A Kurt-Jones
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6.  Common genetic variants in proinflammatory and other immunoregulatory genes and risk for non-Hodgkin lymphoma.

Authors:  Sophia S Wang; James R Cerhan; Patricia Hartge; Scott Davis; Wendy Cozen; Richard K Severson; Nilanjan Chatterjee; Meredith Yeager; Stephen J Chanock; Nathaniel Rothman
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7.  Heterozygous Arg753Gln polymorphism of human TLR-2 impairs immune activation by Borrelia burgdorferi and protects from late stage Lyme disease.

Authors:  Nicolas W J Schröder; Isabel Diterich; Antje Zinke; Jana Eckert; Christian Draing; Volker von Baehr; Dieter Hassler; Susanne Priem; Katrin Hahn; Kathrin S Michelsen; Thomas Hartung; Gerd R Burmester; Ulf B Göbel; Corinna Hermann; Ralf R Schumann
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8.  Characterization of B cell lymphoma in patients with Sjögren's syndrome and hepatitis C virus infection.

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Authors:  Qing Lan; Tongzhang Zheng; Nathaniel Rothman; Yawei Zhang; Sophia S Wang; Min Shen; Sonja I Berndt; Shelia H Zahm; Theodore R Holford; Brian Leaderer; Meredith Yeager; Robert Welch; Peter Boyle; Bing Zhang; Kaiyong Zou; Yong Zhu; Stephen Chanock
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10.  TLR1 and TLR6 polymorphisms are associated with susceptibility to invasive aspergillosis after allogeneic stem cell transplantation.

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Journal:  Ann N Y Acad Sci       Date:  2005-12       Impact factor: 5.691

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  31 in total

Review 1.  Host genetics in follicular lymphoma.

Authors:  James R Cerhan
Journal:  Best Pract Res Clin Haematol       Date:  2011-05-05       Impact factor: 3.020

Review 2.  Association of TLR1, TLR2, TLR4, TLR6, and TIRAP polymorphisms with disease susceptibility.

Authors:  Mamoona Noreen; Muhammad Arshad
Journal:  Immunol Res       Date:  2015-06       Impact factor: 2.829

Review 3.  Effects of Toll-like receptor signals in T-cell neoplasms.

Authors:  Cori Morrison; Maria R Baer; Dan P Zandberg; Amy Kimball; Eduardo Davila
Journal:  Future Oncol       Date:  2011-02       Impact factor: 3.404

4.  Risk Factors of Non-Hodgkin Lymphoma.

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Journal:  Expert Opin Med Diagn       Date:  2011-11-01

5.  Polymorphisms in pattern-recognition genes in the innate immunity system and risk of non-Hodgkin lymphoma.

Authors:  Wei Hu; Bryan A Bassig; Jun Xu; Tongzhang Zheng; Yawei Zhang; Sonja I Berndt; Theodore R Holford; H Dean Hosgood; Brian Leaderer; Meredith Yeager; Idan Menashe; Peter Boyle; Kaiyong Zou; Yong Zhu; Stephen Chanock; Qing Lan; Nathaniel Rothman
Journal:  Environ Mol Mutagen       Date:  2012-10-11       Impact factor: 3.216

6.  Immune Activation: Contribution to AIDS-Associated Non-Hodgkin Lymphoma.

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Review 7.  Exogenous or endogenous Toll-like receptor ligands: which is the MVP in tumorigenesis?

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8.  Variation in innate immunity genes and risk of multiple myeloma.

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Review 9.  Toll-like receptor agonists in cancer therapy.

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Journal:  Immunotherapy       Date:  2009-11       Impact factor: 4.196

10.  A missense polymorphism (rs11466653, Met326Thr) of toll-like receptor 10 (TLR10) is associated with tumor size of papillary thyroid carcinoma in the Korean population.

Authors:  Su Kang Kim; Hae Jeong Park; Il Ki Hong; Joo-Ho Chung; Young Gyu Eun
Journal:  Endocrine       Date:  2012-11-03       Impact factor: 3.633

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