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Cancer
Article
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Cancer
Article . 2004 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Cancer
Article . 2004
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Estrogen‐metabolizing gene polymorphisms in the assessment of breast carcinoma risk and fibroadenoma risk in Caucasian women

Authors: Lukas A, Hefler; Clemens B, Tempfer; Christoph, Grimm; Antje, Lebrecht; Eva, Ulbrich; Georg, Heinze; Sepp, Leodolter; +4 Authors

Estrogen‐metabolizing gene polymorphisms in the assessment of breast carcinoma risk and fibroadenoma risk in Caucasian women

Abstract

AbstractBACKGROUNDGenes encoding enzymes involved in estrogen metabolism are held to be candidate genes for associations with breast disease. In these candidate genes, no critical combination of single‐nucleotide polymorphisms (SNPs) for assessing breast carcinoma risk has been reported to date.METHODSIn a large case–control study, the authors investigated 10 estrogen‐metabolizing SNPs in 396 patients with breast carcinoma, 154 patients with fibroadenoma, and 1936 healthy control patients without breast carcinoma in their personal history. The following 10 SNPs were analyzed using sequencing‐on‐chip technology via a solid‐phase polymerase chain reaction assay performed on oligonucleotide microarrays: catechol‐O‐methyltransferase Val158Met G→A, 17‐beta‐hydroxysteroid dehydrogenase type 1 vIV A→C, cytochrome P‐450 (CYP) family 17 A2 allele T→C, CYP1A1‐1 MspI restriction fragment length polymorphism (RFLP) T→C, CYP1A1‐2 Ile462Val A→G, CYP19‐1 Trp39Arg T→C, CYP19‐2 Arg264Cys C→T, CYP19‐3 Cys1558Thr C→T, steroid‐5‐alpha reductase type 2 Val89Leu G→C, and vitamin D receptor BsmI RFLP. A total of 21,350 genotypes were evaluated. Associations and two‐way interaction models were calculated using stepwise logistic regression.RESULTSIn a multiple model, CYP1A1‐1 (P = 0.004) and CYP1A1‐2 (P = 0.03) were found to be associated with significantly decreased and increased risks of breast carcinoma, respectively. When two‐way interactions involving investigated SNPs were ascertained, no significant interactions among polymorphisms were noted. Comparison of patients with fibroadenoma with control patients revealed significantly increased and decreased risks of fibroadenoma when the mutant alleles of CYP17 (P = 0.02) and CYP1A1‐1 (P = 0.04), respectively, were present.CONCLUSIONSThe authors obtained the first SNP data indicating that CYP17 and CYP1A1‐1 play a role in the pathogenesis of fibroadenoma. Although the authors were not able to develop interaction models involving SNPs, they did provide evidence that CYP1A1 is a low‐penetrance susceptibility gene with respect to breast carcinoma in a large series of Caucasian women. Cancer 2004. © 2004 American Cancer Society.

Keywords

Risk, Carcinoma, Steroid 17-alpha-Hydroxylase, Breast Neoplasms, Estrogens, Middle Aged, Polymorphism, Single Nucleotide, White People, Gene Frequency, Fibroadenoma, Case-Control Studies, Cytochrome P-450 CYP1A1, Humans, Female, Genetic Predisposition to Disease

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    85
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 10%
Top 10%
Top 10%
bronze