Literature DB >> 25263716

The AIB1 gene polyglutamine repeat length polymorphism contributes to risk of epithelial ovarian cancer risk: a case-control study.

Guoping Han1, Song Xie, Hongming Fang, Gang Li, Yinquan Han, Zhen Qin.   

Abstract

Genes coding for proteins involved in steroid hormone signaling have been identified as ovarian cancer risk-modifier candidates. AIB1 gene (amplified in breast cancer-1), an androgen receptor (AR) coactivator, expresses a polyglutamine (poly-Q) sequence within the carboxyl-terminal coding region. We hypothesized that genotypic variations in the androgen-signaling pathway promote aggressive epithelial ovarian cancer biology and sought to examine the effect of AIB1 poly-Q repeat length on ovarian cancer risk with a case-control study. The genotype analysis of the AIB1 poly-Q repeat was conducted in 3,000 epithelial ovarian cancer (EOC) cases and 3,000 healthy controls. When analyzed as a categorical variable with cutoff of <28 or <29, both of results showed significant asociations. Compared to those with the shorter (<29) AIB1 poly-Q repeat length, women in the category of longer (≥29) poly-Q repeats had a significantly 20 % increased EOC risk (odds ratio (OR) = 1.20; 95 % confidence interval (CI), 1.08-1.33; P = 5.88 × 10(-4)). When analyzed as a continuous covariate, women with longer average poly-Q repeat length had a significantly increased risk of developing EOC (OR = 1.05 for per poly-Q repeat; 95 % CI, 1.00-1.08; P = 0.013). The association was more stronger for per longer allele (OR = 1.07; 95 % CI, 1.01-1.12; P = 0.010). These results strongly suggest that there is a significant effect of AIB1 genetic variation on ovarian cancer risk, and AIB1 underlies the development of ovarian cancer.

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Year:  2014        PMID: 25263716     DOI: 10.1007/s13277-014-2661-y

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  21 in total

1.  Genetic variation in the progesterone receptor gene and ovarian cancer risk.

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Journal:  Am J Epidemiol       Date:  2005-03-01       Impact factor: 4.897

2.  AIB1 polymorphisms predict aggressive ovarian cancer phenotype.

Authors:  Andrew J Li; Dimitry L Lerner; Maria-Emily R Gapuzan; Beth Y Karlan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-12       Impact factor: 4.254

3.  Comprehensive BRCA1 and BRCA2 mutational profile in Lithuania.

Authors:  Ramūnas Janavičius; Vilius Rudaitis; Ugnius Mickys; Pavel Elsakov; Laimonas Griškevičius
Journal:  Cancer Genet       Date:  2014-05-10

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Journal:  Clin Genet       Date:  1998-07       Impact factor: 4.438

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6.  Modification of BRCA1- and BRCA2-associated breast cancer risk by AIB1 genotype and reproductive history.

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Journal:  Cancer Res       Date:  2001-07-15       Impact factor: 12.701

7.  Frequent amplification of chromosomal region 20q12-q13 in ovarian cancer.

Authors:  M M Tanner; S Grenman; A Koul; O Johannsson; P Meltzer; T Pejovic; A Borg; J J Isola
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8.  [Expression of AIB1 protein in epithelial ovarian cancer cells and its impact on apoptosis].

Authors:  Xiao-yan Han; Yue Chen; Min-min Hou; Jian Zhang; Kai-xuan Yang; Ying-ying Chen; Ming-rong Qie
Journal:  Sichuan Da Xue Xue Bao Yi Xue Ban       Date:  2008-07

Review 9.  Epidemiology of ovarian cancer.

Authors:  Jennifer Permuth-Wey; Thomas A Sellers
Journal:  Methods Mol Biol       Date:  2009

10.  Risk miRNA screening of ovarian cancer based on miRNA functional synergistic network.

Authors:  Huanchun Ying; Jing Lyu; Tianshu Ying; Jun Li; Shanshan Jin; Jingru Shao; Lili Wang; Hongying Xu
Journal:  J Ovarian Res       Date:  2014-01-21       Impact factor: 4.234

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  1 in total

Review 1.  Steroid receptor coactivators as therapeutic targets in the female reproductive system.

Authors:  Maria M Szwarc; John P Lydon; Bert W O'Malley
Journal:  J Steroid Biochem Mol Biol       Date:  2015-07-04       Impact factor: 4.292

  1 in total

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