Genetic association between HER2 and ESR2 polymorphisms and ovarian cancer: a meta-analysis

OncoTargets and Therapy, Mar 2018

Genetic association between HER2 and ESR2 polymorphisms and ovarian cancer: a meta-analysis Liang Tang,1,2 Jianming Li,1,3 Meihua Bao,1,2 Ju Xiang,1,2 Yiwei Chen,1,2 Yan Wang1,2,4 1Department of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People’s Republic of China; 2Department of Human Anatomy, School of Basic Medical Science, Changsha Medical University, Changsha, People’s Republic of China; 3Department of Neurology, Xiang-ya Hospital, Central South University, Changsha, People’s Republic of China; 4Department of Human Anatomy, Experiment Center for Function, Changsha Medical University, Changsha, People’s Republic of China Objective: The estrogen receptor (ER) and the human epidermal growth factor receptor 2 (HER2) each play an important role in female cancers. This study aimed to investigate the genetic association between three common single nucleotide polymorphisms (SNPs) and the risk of ovarian cancer. The SNPs investigated in this study were ESR2 rs1271572 and rs3020450 and HER2 rs1801200.Methods: In this study, databases were electronically searched in a meta-analysis. Databases used were PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Cochrane library. Case–control studies on the association between ESR2 and HER2 polymorphisms were selected according to inclusion and exclusion standard. Articles were evaluated for quality, and data were extracted.Results: A total of 13 articles with 5,461 cases and 7,603 controls were included in this meta-analysis. The recessive model of ESR2 rs1271572 was shown to be significantly associated with the risk of ovarian cancer (p = 0.008, odds ratio [OR] [95% confidence interval {CI}] = 1.13 [1.03, 1.24]), and this significant association still existed in a subgroup analysis stratified by ethnicity (Asian: p = 0.04, OR [95% CI] = 1.92 [1.04, 3.56]; Caucasian: p = 0.02, OR [95% CI] = 1.12 [1.02, 1.23]). In addition, the distribution of the dominant model of ESR2 rs3020450 was significantly different in the total group (p = 0.02, OR [95% CI] = 0.71 [0.53, 0.95]) and the Caucasian subgroup (p = 0.02, OR [95% CI] = 0.67 [0.48, 0.94]). Furthermore, no significant association between allelic, dominant, codominant and recessive models of HER2 rs1801200 (V655I) and ovarian cancer was found (p > 0.05).Conclusion: The recessive model of ESR2 rs1271572 and the dominant model of ESR2 rs3020450 might be susceptible factors for ovarian cancer. Keywords: ESR2, ovarian cancer, HER2, meta-analysis

A PDF file should load here. If you do not see its contents the file may be temporarily unavailable at the journal website or you do not have a PDF plug-in installed and enabled in your browser.

Alternatively, you can download the file locally and open with any standalone PDF reader:

https://www.dovepress.com/getfile.php?fileID=40740

Genetic association between HER2 and ESR2 polymorphisms and ovarian cancer: a meta-analysis

OncoTargets and Therapy genetic association between her2 and esr2 polymorphisms and ovarian cancer : a meta-analysis Meihua Bao 1 2 3 Ju Xiang 1 2 3 Yan Wang 1 2 3 4 0 Department of n eurology, Xiang-ya h ospital, c entral s outh University , c hangsha, People's republic of china 1 used were PubMed , Embase , China National Knowledge Infrastructure (CNKI), Wanfang 2 Department of h uman a natomy, s chool of Basic Medical s cience, c hangsha Medical University , c hangsha, People's r epublic of china 3 Department of human anatomy, histology and embryology, institute of n euroscience, changsha Medical University , c hangsha, People's r epublic of china 4 Department of human anatomy, experiment c enter for Function, c hangsha Medical University , changsha, People's republic of china PowerdbyTCPDF(ww.tcpdf.org) Objective: The estrogen receptor (ER) and the human epidermal growth factor receptor 2 (HER2) each play an important role in female cancers. This study aimed to investigate the genetic association between three common single nucleotide polymorphisms (SNPs) and the risk of ovarian cancer. The SNPs investigated in this study were ESR2 rs1271572 and rs3020450 and HER2 rs1801200. Methods: In this study, databases were electronically searched in a meta-analysis. Databases Cochrane library. Case-control studies on the association between ESR2 and HER2 polymorphisms were selected according to inclusion and exclusion standard. Articles were evaluated for quality, and data were extracted. Results: A total of 13 articles with 5,461 cases and 7,603 controls were included in this metaanalysis. The recessive model of ESR2 rs1271572 was shown to be significantly associated with the risk of ovarian cancer (p = 0.008, odds ratio [OR] [95% confidence interval {CI}] = 1.13 [1.03, 1.24]), and this significant association still existed in a subgroup analysis stratified by ethnicity (Asian: p = 0.04, OR [95% CI] = 1.92 [1.04, 3.56]; Caucasian: p = 0.02, OR [95% CI] = 1.12 [1.02, 1.23]). In addition, the distribution of the dominant model of ESR2 rs3020450 was significantly different in the total group (p = 0.02, OR [95% CI] = 0.71 [0.53, 0.95]) and the Caucasian subgroup (p = 0.02, OR [95% CI] = 0.67 [0.48, 0.94]). Furthermore, no significant association between allelic, dominant, codominant and recessive models of HER2 rs1801200 (V655I) and ovarian cancer was found (p . 0.05). Conclusion: The recessive model of ESR2 rs1271572 and the dominant model of ESR2 rs3020450 might be susceptible factors for ovarian cancer. ESR2; ovarian cancer; HER2; meta-analysis - open access to scientific and medical research O r i g i n a l r e s e a r c h liang Tang 1,2 Jianming li 1,3 Introduction Ovarian cancer is one of the most lethal female cancers in women with 15%–25% 5-year overall survival rates.1 Family and twin studies suggested that genetic factors are one of the important causes of ovarian cancer.2 The most well-documented inherited factors are the BRCA1 and BRCA12 genes.3,4 However, these two genes account for ,40% of the established ovarian cancer risk, indicating that there are other yet unexplained genetic factors contributing to ovarian cancer. It is widely accepted that tumor formation is a multistep process accompanied by an accumulation of multiple genetic alterations. Recently, a number of genes referring to DNA repair (BRCA1interacting protein 1 [BRIP1]5 and FANCJ6), etinoblastoma-1 (RB1),7 estrogen receptor (ER) genes (ESR1 and ESR28,9) and vitamin D receptor (VDR) genes10 have been reported to be associated with the susceptibility of ovarian cancer. Research has shown that increasing levels of estrogen may increase the risk of ovarian cancer by binding to the ER-α, encoded by ESR1. The target of action enhances cell proliferation, apoptosis and migration.11,12 However, the specific functions of the ER-β, encoded by ESR2 in cancer, are not yet clear. There is evidence that ESR2 mRNA was highly expressed in normal ovarian tissue when compared to tumor tissue,13,14 which indicated a tumor suppressive role of ER-β in ovary. Human epidermal growth factor receptor 2 (HER2), a member of the HER receptor tyrosine 8 kinase family, is a well-known susceptible factor in breast -201 cancer.15,16 HER2 was reported to interact with the ER and l-Ju regulate tumor cell proliferation and survival.17 Overexpres21n sion of HER2 was observed in up to 20%–30% of breast and 9o1 ovarian cancers.18 These data suggest an important role of .915 ESR2 and HER2 in the susceptibility of ovarian cancer. ..23 In recent years, a multitude of single nucleotide polymor312 phisms (SNPs) both in HER2 and ESR2 genes have been /yb reported to be associated with the risk of ovarian cancer. .com In the human HER2 gene, a common SNP called rs1801200 ss (V655I) was identified in the transmembrane coding region rvpee l.yno at codon 655 that encodes either isoleucine (ATC) or valine .dow lsue (GTC).19 Four studies investigated the genetic association /ww (...truncated)


This is a preview of a remote PDF: https://www.dovepress.com/getfile.php?fileID=40740

Liang Tang, Jianming Li, Meihua Bao, Ju Xiang, Yiwei Chen, Yan Wang. Genetic association between HER2 and ESR2 polymorphisms and ovarian cancer: a meta-analysis, OncoTargets and Therapy, 2018, pp. 1055-1066, DOI: 10.2147/OTT.S149428