Literature DB >> 16704985

Associations of genetic variants in the estrogen receptor coactivators PPARGC1A, PPARGC1B and EP300 with familial breast cancer.

Michael Wirtenberger1, Sandrine Tchatchou, Kari Hemminki, Julia Schmutzhard, Christian Sutter, Rita K Schmutzler, Alfons Meindl, Barbara Wappenschmidt, Marion Kiechle, Norbert Arnold, Bernhard H F Weber, Dieter Niederacher, Claus R Bartram, Barbara Burwinkel.   

Abstract

The mitogen effect of the ovarian steroid estrogen is a strong risk factor for breast cancer development. This effect is mainly mediated by the estrogen receptor alpha, a hormone inducible transcription factor, which activates gene expression through recruiting multiple coactivators, such as PPARGC1A, PPARGC1B and EP300. We tested the hypothesis that non-conservative, putative functional amino acid exchanges in PPARGC1A, PPARGC1B and EP300 act as low-penetrance familial breast cancer risk factors. The analysis of 816 BRCA1/2 mutation-negative familial breast cancer patients and 1012 controls revealed an association of the PPARGC1A Thr612Met polymorphism with familial breast cancer (OR = 1.35, 95% CI 1.00-1.81, P = 0.049), high-risk familial breast cancer (OR = 1.51, 95% CI 1.08-2.12, P = 0.017) and bilateral familial breast cancer (OR = 2.30, 95% CI 1.24-4.28, P = 0.009). Logistic regression analyses of the PPARGC1B Ala203Pro variant showed an increased familial breast cancer risk of heterozygous and homozygous variant allele carriers (OR = 1.48, 95% CI 1.15-1.91, P = 0.002). The genotype-combination analysis of the associated PPARGC1A Thr612Met variant and the associated PPARGC1B Ala203Pro variant suggests an allele dose-dependent breast cancer risk (P(trend) = 0.0004). Our results indicate for the first time the importance of inherited variants in the estrogen receptor coactivator genes PPARGC1A and PPARGC1B for familial breast cancer susceptibility. Owing to their impact on estrogen signaling, these polymorphisms might also influence adjuvant anti-estrogen therapy, using agents such as tamoxifen and raloxifen, and outcome of breast cancer patients.

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Year:  2006        PMID: 16704985     DOI: 10.1093/carcin/bgl067

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


  19 in total

1.  Promoter methylation status and expression of estrogen receptor alpha in familial breast cancer patients.

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3.  Global investigation of estrogen-responsive genes regulating lipid metabolism in the liver of laying hens.

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Journal:  BMC Genomics       Date:  2021-06-09       Impact factor: 3.969

4.  The application of nonsense-mediated mRNA decay inhibition to the identification of breast cancer susceptibility genes.

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Journal:  BMC Cancer       Date:  2012-06-15       Impact factor: 4.430

5.  Genetic variation of ESR1 and its co-activator PPARGC1B is synergistic in augmenting the risk of estrogen receptor-positive breast cancer.

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6.  Role of murine asthma model in discovering asthma susceptible genes.

Authors:  Choon-Sik Park
Journal:  Allergy Asthma Immunol Res       Date:  2014-10-29       Impact factor: 5.764

7.  Identification of new differentially methylated genes that have potential functional consequences in prostate cancer.

Authors:  Jin W Kim; Seong-Tae Kim; Aubrey R Turner; Tracey Young; Shelly Smith; Wennuan Liu; Johan Lindberg; Lars Egevad; Henrik Gronberg; William B Isaacs; Jianfeng Xu
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9.  Analysis of PPARGC1B, RUNX3 and TBKBP1 polymorphisms in Chinese Han patients with ankylosing spondylitis: a case-control study.

Authors:  Zijian Lian; Wei Chai; Lewis L Shi; Chao Chen; Jingyi Liu; Yan Wang
Journal:  PLoS One       Date:  2013-04-18       Impact factor: 3.240

10.  Screening and association testing of common coding variation in steroid hormone receptor co-activator and co-repressor genes in relation to breast cancer risk: the Multiethnic Cohort.

Authors:  Christopher A Haiman; Rachel R Garcia; Chris Hsu; Lucy Xia; Helen Ha; Xin Sheng; Loic Le Marchand; Laurence N Kolonel; Brian E Henderson; Michael R Stallcup; Geoffrey L Greene; Michael F Press
Journal:  BMC Cancer       Date:  2009-01-30       Impact factor: 4.430

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