Literature DB >> 10767642

Molecular epidemiology of breast cancer: genetic variation in steroid hormone metabolism.

V N Kristensen1, A L Borresen-Dale.   

Abstract

The age-specific incidence rate of breast cancer in women rises until menopause, levels off and then rises again at a much lower rate indicating a possible hormonal influence on the disease risk. A large amount of evidence has implicated hormones and other compounds with oestrogen activity in the pathogenesis of certain endocrine cancers, particularly breast cancer. Widely dispersed hormone-like chemicals, capable of disrupting the endocrine system and interfering with proliferation, have been described. Compounds such as dioxins, some polychlorinated biphenyls and the plastic ingredient bisphenol-A have been shown to interfere with human reproduction and hormonal regulation. The levels of these foreign compounds as well as the levels of endogenous oestradiol may influence the risk of breast cancer. Endogenous oestradiol is synthesised in the ovarian theca cells of premenopausal women or in the stromal adipose cells of the breast of postmenopausal women and minor quantities in peripheral tissue. These cells, as well as breast cancer tissue, express all the necessary enzymes for this synthesis: CYP17, CYP11a, CYP19, hydroxysteroid hydrogenase, steroid sulphatase as well as enzymes further hydroxylating oestradiol such as CYP1A1, CYP3A4, CYP1B1. Polymorphisms in these enzymes may have a possible role in the link between environmental estrogens and hormone-like substances and the interindividual risk of breast cancer.

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Year:  2000        PMID: 10767642     DOI: 10.1016/s1383-5742(00)00018-1

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  18 in total

Review 1.  Genes other than BRCA1 and BRCA2 involved in breast cancer susceptibility.

Authors:  M M de Jong; I M Nolte; G J te Meerman; W T A van der Graaf; J C Oosterwijk; J H Kleibeuker; M Schaapveld; E G E de Vries
Journal:  J Med Genet       Date:  2002-04       Impact factor: 6.318

Review 2.  Methods of integrating data to uncover genotype-phenotype interactions.

Authors:  Marylyn D Ritchie; Emily R Holzinger; Ruowang Li; Sarah A Pendergrass; Dokyoon Kim
Journal:  Nat Rev Genet       Date:  2015-01-13       Impact factor: 53.242

3.  Functional polymorphism of thymidylate synthase, but not of the COMT and IL-1B genes, is associated with breast cancer.

Authors:  Elif Akisik; Nejat Dalay
Journal:  J Clin Lab Anal       Date:  2007       Impact factor: 2.352

4.  Increases in serum estrone sulfate level are associated with increased mammographic density during menopausal hormone therapy.

Authors:  Carolyn J Crandall; Min Guan; Gail A Laughlin; Giske A Ursin; Frank Z Stanczyk; Sue A Ingles; Elizabeth Barrett-Connor; Gail A Greendale
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-07       Impact factor: 4.254

5.  Association of genetic polymorphisms in CYP19A1 and blood levels of sex hormones among postmenopausal Chinese women.

Authors:  Hui Cai; Xiao Ou Shu; Kathleen M Egan; Qiuyin Cai; Ji-Rong Long; Yu-Tang Gao; Wei Zheng
Journal:  Pharmacogenet Genomics       Date:  2008-08       Impact factor: 2.089

6.  DNA repair genes XRCC1 and XRCC3 polymorphisms and their relationship with the level of micronuclei in breast cancer patients.

Authors:  Raquel A Santos; Ana Claudia Teixeira; Monica B Mayorano; Helio H A Carrara; Jurandyr M Andrade; Catarina S Takahashi
Journal:  Genet Mol Biol       Date:  2010-12-01       Impact factor: 1.771

7.  Variability in estrogen-metabolizing genes and their association with genomic instability in untreated breast cancer patients and healthy women.

Authors:  Raquel Alves dos Santos; Ana Cláudia Teixeira; Mônica Beatriz Mayorano; Hélio Humberto Angotti Carrara; Jurandyr de Andrade; Catarina Satie Takahashi
Journal:  J Biomed Biotechnol       Date:  2011-06-14

8.  The association of polymorphisms in hormone metabolism pathway genes, menopausal hormone therapy, and breast cancer risk: a nested case-control study in the California Teachers Study cohort.

Authors:  Eunjung Lee; Fredrick Schumacher; Juan Pablo Lewinger; Susan L Neuhausen; Hoda Anton-Culver; Pamela L Horn-Ross; Katherine D Henderson; Argyrios Ziogas; David Van Den Berg; Leslie Bernstein; Giske Ursin
Journal:  Breast Cancer Res       Date:  2011-04-01       Impact factor: 6.466

9.  Risk factors for breast cancer and expression of insulin-like growth factor-2 (IGF-2) in women with breast cancer in Wuhan City, China.

Authors:  Jun Qiu; Rong Yang; Yanhua Rao; Yukai Du; Fatch W Kalembo
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

10.  Multilocus analysis of SNP and metabolic data within a given pathway.

Authors:  Vessela N Kristensen; Anya Tsalenko; Jurgen Geisler; Anne Faldaas; Grethe Irene Grenaker; Ole Christian Lingjaerde; Ståle Fjeldstad; Zohar Yakhini; Per Eystein Lønning; Anne-Lise Børresen-Dale
Journal:  BMC Genomics       Date:  2006-01-13       Impact factor: 3.969

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