Literature DB >> 22459122

Interactions between genome-wide significant genetic variants and circulating concentrations of insulin-like growth factor 1, sex hormones, and binding proteins in relation to prostate cancer risk in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium.

Konstantinos K Tsilidis1, Ruth C Travis, Paul N Appleby, Naomi E Allen, Sara Lindstrom, Fredrick R Schumacher, David Cox, Ann W Hsing, Jing Ma, Gianluca Severi, Demetrius Albanes, Jarmo Virtamo, Heiner Boeing, H Bas Bueno-de-Mesquita, Mattias Johansson, J Ramón Quirós, Elio Riboli, Afshan Siddiq, Anne Tjønneland, Dimitrios Trichopoulos, Rosario Tumino, J Michael Gaziano, Edward Giovannucci, David J Hunter, Peter Kraft, Meir J Stampfer, Graham G Giles, Gerald L Andriole, Sonja I Berndt, Stephen J Chanock, Richard B Hayes, Timothy J Key.   

Abstract

Genome-wide association studies (GWAS) have identified many single nucleotide polymorphisms (SNPs) associated with prostate cancer risk. There is limited information on the mechanistic basis of these associations, particularly about whether they interact with circulating concentrations of growth factors and sex hormones, which may be important in prostate cancer etiology. Using conditional logistic regression, the authors compared per-allele odds ratios for prostate cancer for 39 GWAS-identified SNPs across thirds (tertile groups) of circulating concentrations of insulin-like growth factor 1 (IGF-1), insulin-like growth factor binding protein 3 (IGFBP-3), testosterone, androstenedione, androstanediol glucuronide, estradiol, and sex hormone-binding globulin (SHBG) for 3,043 cases and 3,478 controls in the Breast and Prostate Cancer Cohort Consortium. After allowing for multiple testing, none of the SNPs examined were significantly associated with growth factor or hormone concentrations, and the SNP-prostate cancer associations did not differ by these concentrations, although 4 interactions were marginally significant (MSMB-rs10993994 with androstenedione (uncorrected P = 0.008); CTBP2-rs4962416 with IGFBP-3 (uncorrected P = 0.003); 11q13.2-rs12418451 with IGF-1 (uncorrected P = 0.006); and 11q13.2-rs10896449 with SHBG (uncorrected P = 0.005)). The authors found no strong evidence that associations between GWAS-identified SNPs and prostate cancer are modified by circulating concentrations of IGF-1, sex hormones, or their major binding proteins.

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Year:  2012        PMID: 22459122      PMCID: PMC3390010          DOI: 10.1093/aje/kwr423

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  42 in total

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2.  The Melbourne Collaborative Cohort Study.

Authors:  G G Giles; D R English
Journal:  IARC Sci Publ       Date:  2002

3.  Relationships of serum androgens and estrogens to prostate cancer risk: results from a prospective study in Finland.

Authors:  J F Dorgan; D Albanes; J Virtamo; O P Heinonen; D W Chandler; M Galmarini; L M McShane; M J Barrett; J Tangrea; P R Taylor
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-12       Impact factor: 4.254

Review 4.  The epidemiology of sex steroid hormones and their signaling and metabolic pathways in the etiology of prostate cancer.

Authors:  Elizabeth A Platz; Edward Giovannucci
Journal:  J Steroid Biochem Mol Biol       Date:  2005-01-05       Impact factor: 4.292

5.  Prospective study of sex hormone levels and risk of prostate cancer.

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Journal:  J Natl Cancer Inst       Date:  1996-08-21       Impact factor: 13.506

6.  Insulin-like growth factor-I (IGF-I) and IGF binding protein-3 as predictors of advanced-stage prostate cancer.

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Journal:  J Natl Cancer Inst       Date:  2002-07-17       Impact factor: 13.506

7.  Serum insulin-like growth factor I: tumor marker or etiologic factor? A prospective study of prostate cancer among Finnish men.

Authors:  Karen Woodson; Joseph A Tangrea; Michael Pollak; Terry D Copeland; Philip R Taylor; Jarmo Virtamo; Demetrius Albanes
Journal:  Cancer Res       Date:  2003-07-15       Impact factor: 12.701

8.  Biological models and statistical interactions: an example from multistage carcinogenesis.

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Journal:  Int J Epidemiol       Date:  1981-12       Impact factor: 7.196

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Journal:  J Steroid Biochem       Date:  1982-06       Impact factor: 4.292

10.  Characterizing associations and SNP-environment interactions for GWAS-identified prostate cancer risk markers--results from BPC3.

Authors:  Sara Lindstrom; Fredrick Schumacher; Afshan Siddiq; Ruth C Travis; Daniele Campa; Sonja I Berndt; W Ryan Diver; Gianluca Severi; Naomi Allen; Gerald Andriole; Bas Bueno-de-Mesquita; Stephen J Chanock; David Crawford; J Michael Gaziano; Graham G Giles; Edward Giovannucci; Carolyn Guo; Christopher A Haiman; Richard B Hayes; Jytte Halkjaer; David J Hunter; Mattias Johansson; Rudolf Kaaks; Laurence N Kolonel; Carmen Navarro; Elio Riboli; Carlotta Sacerdote; Meir Stampfer; Daniel O Stram; Michael J Thun; Dimitrios Trichopoulos; Jarmo Virtamo; Stephanie J Weinstein; Meredith Yeager; Brian Henderson; Jing Ma; Loic Le Marchand; Demetrius Albanes; Peter Kraft
Journal:  PLoS One       Date:  2011-02-24       Impact factor: 3.240

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  7 in total

1.  Interactions Between Genome-Wide Significant Genetic Variants and Circulating Concentrations of 25-Hydroxyvitamin D in Relation to Prostate Cancer Risk in the National Cancer Institute BPC3.

Authors:  Vasiliki I Dimitrakopoulou; Ruth C Travis; Irene M Shui; Alison Mondul; Demetrius Albanes; Jarmo Virtamo; Antonio Agudo; Heiner Boeing; H Bas Bueno-de-Mesquita; Marc J Gunter; Mattias Johansson; Kay-Tee Khaw; Kim Overvad; Domenico Palli; Antonia Trichopoulou; Edward Giovannucci; David J Hunter; Sara Lindström; Walter Willett; J Michael Gaziano; Meir Stampfer; Christine Berg; Sonja I Berndt; Amanda Black; Robert N Hoover; Peter Kraft; Timothy J Key; Konstantinos K Tsilidis
Journal:  Am J Epidemiol       Date:  2017-03-15       Impact factor: 4.897

2.  Interaction with cyclin H/cyclin-dependent kinase 7 (CCNH/CDK7) stabilizes C-terminal binding protein 2 (CtBP2) and promotes cancer cell migration.

Authors:  Yuchan Wang; Fang Liu; Feng Mao; Qinlei Hang; Xiaodong Huang; Song He; Yingying Wang; Chun Cheng; Huijie Wang; Guangfei Xu; Tianyi Zhang; Aiguo Shen
Journal:  J Biol Chem       Date:  2013-02-07       Impact factor: 5.157

3.  Association between EHBP1 rs721048(A>G) polymorphism and prostate cancer susceptibility: a meta-analysis of 17 studies involving 150,678 subjects.

Authors:  Xiang Ao; Ying Liu; Xiao-Yan Bai; Xinjian Qu; Zhaowei Xu; Gaolei Hu; Min Chen; Huijian Wu
Journal:  Onco Targets Ther       Date:  2015-07-07       Impact factor: 4.147

4.  Sex steroid metabolism in benign and malignant intact prostate biopsies: individual profiling of prostate intracrinology.

Authors:  Daniele Gianfrilli; Silvia Pierotti; Riccardo Pofi; Costantino Leonardo; Mauro Ciccariello; Federica Barbagallo
Journal:  Biomed Res Int       Date:  2014-08-13       Impact factor: 3.411

Review 5.  Does milk intake promote prostate cancer initiation or progression via effects on insulin-like growth factors (IGFs)? A systematic review and meta-analysis.

Authors:  Sean Harrison; Rosie Lennon; Jeff Holly; Julian P T Higgins; Mike Gardner; Claire Perks; Tom Gaunt; Vanessa Tan; Cath Borwick; Pauline Emmet; Mona Jeffreys; Kate Northstone; Sabina Rinaldi; Stephen Thomas; Suzanne D Turner; Anna Pease; Vicky Vilenchick; Richard M Martin; Sarah J Lewis
Journal:  Cancer Causes Control       Date:  2017-03-30       Impact factor: 2.506

6.  Association between sex hormones regulation-related SNP rs12233719 and lung cancer risk among never-smoking Chinese women.

Authors:  Ying Qian; Li Xie; Lei Li; Tienan Feng; Tengteng Zhu; Ruoyang Wang; Yuqing Yang; Baosen Zhou; Herbert Yu; Biyun Qian
Journal:  Cancer Med       Date:  2021-02-17       Impact factor: 4.452

Review 7.  An integrated approach to defining genetic and environmental determinants for major clinical outcomes involving vitamin D.

Authors:  Antonio J Berlanga-Taylor; Julian C Knight
Journal:  Mol Diagn Ther       Date:  2014-06       Impact factor: 4.074

  7 in total

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