Estrogen Receptor Alpha Gene Polymorphisms and Breast Cancer Risk: a Case-control Study with Meta-analysis Combined

被引:15
作者
Lu, Hong [1 ]
Chen, Dong [3 ]
Hu, Li-Ping [1 ]
Zhou, Lian-Lian [1 ]
Xu, Hui-Ying [1 ]
Bai, Yong-Heng [2 ]
Lin, Xiang-Yang [1 ]
机构
[1] Wenzhou Med Univ, Affiliated Hosp 1, Dept Lab Med, Wenzhou, Peoples R China
[2] Wenzhou Med Univ, Affiliated Hosp 1, Wenzhou Key Lab Surg, Wenzhou, Peoples R China
[3] Wenzhou Ctr Dis Control & Prevent, Wenzhou, Peoples R China
关键词
Estrogen receptor; polymorphism; breast cancer; risk; meta-analysis; ER-ALPHA; ASSOCIATION; HAPLOTYPE; SHANGHAI; DISEASE; VARIANT; UPDATE; SHESIS; BINDS; MODEL;
D O I
10.7314/APJCP.2013.14.11.6743
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Molecular epidemiological studies have shown that gene polymorphisms of estrogen receptor alpha gene (ESR-alpha) are associated with breast cancer risk. However, previous results from many molecular studies have been inconsistent. In this study, we examined two polymorphisms (PvuII and XbaI RFLPs) of the ESR-alpha gene in 542 breast cancer cases and 1,016 controls from China. Associations between the polymorphisms and breast cancer risk were calculated with an unconditional logistic regression model. Linkage disequilibrium and haplotypes were analyzed with the SHEsis software. In addition, we also performed a systematic meta-analysis of 24 published studies evaluating the association. No significant associations were found between the PvuII polymorphism and breast cancer risk. However, a significantly decreased risk of breast cancer was observed among carriers of the XbaI 'G'allele (age-adjusted OR = 0.80; 95% CI = 0.66-0.97) compared with carriers of the 'A' allele. Haplotype analysis showed significantly decreased cancer risk for carriers of the 'CG' haplotype (OR = 0.79; 95% CI = 0.66-0.96). In the systematic meta-analysis, the XbaI 'G' allele was associated with an overall significantly decreased risk of breast cancer (OR = 0.90, 95% CI = 0.82-1.00). In addition, the PvuII 'C' allele showed a 0.96-fold decreased disease risk (95% CI = 0.92-0.99). In subgroup analysis, an association between the PvuII 'C' and XbaI 'G' alleles and breast cancer risk was significant in Asians ('C' vs. 'T': OR = 0.93, 95% CI = 0.85-1.00; 'G' vs. 'A': OR = 0.82, 95% CI = 0.68-0.98), but not in Euro-Americans. Thus, our results provide evidence that ESR-alpha polymorphisms are associated with susceptibility to breast cancer. These associations may largely depend on population characteristics and geographic location.
引用
收藏
页码:6743 / 6749
页数:7
相关论文
共 35 条
[1]  
ANDERSEN TI, 1994, HUM GENET, V94, P665
[2]  
[Anonymous], 2011, Cancer Facts and Figures 2011
[3]   Induction of mammary gland development in estrogen receptor-α knockout mice [J].
Bocchinfuso, WP ;
Lindzey, JK ;
Hewitt, SC ;
Clark, JA ;
Myers, PH ;
Cooper, R ;
Korach, KS .
ENDOCRINOLOGY, 2000, 141 (08) :2982-2994
[4]  
Cai QY, 2003, CANCER EPIDEM BIOMAR, V12, P853
[5]   Estrogen Metabolism and Exposure in a Genotypic-Phenotypic Model for Breast Cancer Risk Prediction [J].
Crooke, Philip S. ;
Justenhoven, Christina ;
Brauch, Hiltrud ;
Dawling, Sheila ;
Roodi, Nady ;
Higginbotham, Kathryn S. P. ;
Plummer, W. Dale ;
Schuyler, Peggy A. ;
Sanders, Melinda E. ;
Page, David L. ;
Smith, Jeffrey R. ;
Dupont, William D. ;
Parl, Fritz F. .
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2011, 20 (07) :1502-1515
[6]   Random-effects model for meta-analysis of clinical trials: An update [J].
DerSimonian, Rebecca ;
Kacker, Raghu .
CONTEMPORARY CLINICAL TRIALS, 2007, 28 (02) :105-114
[7]  
Dorgan JF, 2002, JNCI-J NATL CANCER I, V94, P606
[8]   CHARACTERIZATION OF ESTROGEN-RECEPTOR VARIANT MESSENGER-RNAS FROM HUMAN BREAST CANCERS [J].
DOTZLAW, H ;
ALKHALAF, M ;
MURPHY, LC .
MOLECULAR ENDOCRINOLOGY, 1992, 6 (05) :773-785
[9]   Association of ESR1 gene tagging SNPs with breast cancer risk [J].
Dunning, Alison M. ;
Healey, Catherine S. ;
Baynes, Caroline ;
Maia, Ana-Teresa ;
Scollen, Serena ;
Vega, Ana ;
Rodriguez, Raquel ;
Barbosa-Morais, Nuno L. ;
Ponder, Bruce A. J. ;
Low, Yen-Ling ;
Bingham, Sheila ;
Haiman, Christopher A. ;
Le Marchand, Loic ;
Broeks, Annegien ;
Schmidt, Marjanka K. ;
Hopper, John ;
Southey, Melissa ;
Beckmann, Matthias W. ;
Fasching, Peter A. ;
Peto, Julian ;
Johnson, Nichola ;
Bojesen, Stig E. ;
Nordestgaard, Borge ;
Milne, Roger L. ;
Benitez, Javier ;
Hamann, Ute ;
Ko, Yon ;
Schmutzler, Rita K. ;
Burwinkel, Barbara ;
Schuermann, Peter ;
Doerk, Thilo ;
Heikkinen, Tuomas ;
Nevanlinna, Heli ;
Lindblom, Annika ;
Margolin, Sara ;
Mannermaa, Arto ;
Kosma, Veli-Matti ;
Chen, Xiaoqing ;
Spurdle, Amanda ;
Change-Claude, Jenny ;
Flesch-Janys, Dieter ;
Couch, Fergus J. ;
Olson, Janet E. ;
Severi, Gianluca ;
Baglietto, Laura ;
Brresen-Dale, Anne-Lise ;
Kristensen, Vessela ;
Hunter, David J. ;
Hankinson, Susan E. ;
Devilee, Peter .
HUMAN MOLECULAR GENETICS, 2009, 18 (06) :1131-1139
[10]  
Egger M, 2003, Health Technol Assess, V7, P1