The association between CDH1 promoter methylation and patients with ovarian cancer: a systematic meta-analysis

Similar documents
The Expression of Beclin-1 in Hepatocellular Carcinoma and Non-Tumor Liver Tissue: A Meta-Analysis

Association of mir-21 with esophageal cancer prognosis: a meta-analysis

Does serum CA125 have clinical value for follow-up monitoring of postoperative patients with epithelial ovarian cancer? Results of a 12-year study

A meta-analysis of the TFPI2 hyper-methylation frequency and colorectal cancer risk.

Hypermethylated APC in serous carcinoma based on a meta-analysis of ovarian cancer

Association between the -77T>C polymorphism in the DNA repair gene XRCC1 and lung cancer risk

Cancer Cell Research 17 (2018)

Original Article Lack of association between bcl-2 expression and prognosis of osteosarcoma: a meta-analysis

RESEARCH ARTICLE. RASSF1A Gene Methylation is Associated with Nasopharyngeal Carcinoma Risk in Chinese

Lifeng Xiao, Li Jiang, Qi Hu, Yuru Li. Introduction

Lack of association between IL-6-174G>C polymorphism and lung cancer: a metaanalysis

Review Article Long Noncoding RNA H19 in Digestive System Cancers: A Meta-Analysis of Its Association with Pathological Features

Association between the CYP11B2 gene 344T>C polymorphism and coronary artery disease: a meta-analysis

Relationship between RUNX3 methylation and hepatocellular carcinoma in Asian populations: a systematic review

Correlations between the COMT gene rs4680 polymorphism and susceptibility to ovarian cancer

Development of Carcinoma Pathways

Alectinib Versus Crizotinib for Previously Untreated Alk-positive Advanced Non-small Cell Lung Cancer : A Meta-Analysis

The updated incidences and mortalities of major cancers in China, 2011

Biochemical Determinants Governing Redox Regulated Changes in Gene Expression and Chromatin Structure

RALYL Hypermethylation: A Potential Diagnostic Marker of Esophageal Squamous Cell Carcinoma (ESCC) Junwei Liu, MD

Original Article Vascular endothelial growth factor polymorphisms and lung cancer risk

Takashi Yagisawa 1,2*, Makiko Mieno 1,3, Norio Yoshimura 1,4, Kenji Yuzawa 1,5 and Shiro Takahara 1,6

Yaqiong Zhang 1, Bo Li 2, Qianqian Sun 3, Xiaoyu Wu 1, Qi Chen 1, Zhaoyun Li 1, Jinggang Mo 3. Introduction

1. Collaborative Group on Epidemiological Studies of Ovarian Cancer. Ovarian cancer and oral contraceptives: collaborative reanalysis of data from 45

Review Article Prognostic Role of MicroRNA-200c-141 Cluster in Various Human Solid Malignant Neoplasms

Association between ERCC1 and ERCC2 polymorphisms and breast cancer risk in a Chinese population

Diagnostic performance of microrna-29a for colorectal cancer: a meta-analysis

The silence of the genes: clinical applications of (colorectal) cancer epigenetics

mir-146a and mir-196a2 polymorphisms in ovarian cancer risk

Clinical significance of CDH13 promoter methylation as a biomarker for bladder cancer: a meta-analysis

The prognostic value of the mir-200 family in ovarian cancer: a meta-analysis

Combined use of AFP, CEA, CA125 and CAl9-9 improves the sensitivity for the diagnosis of gastric cancer

Hongfei Gao 1, Lijun Yuan 2 and Yimin Han 1*

Reliability of Echocardiography Measurement of Patent Ductus Arteriosus Minimum Diameter: A Meta-analysis

Aberrant DNA methylation of MGMT and hmlh1 genes in prediction of gastric cancer

Original Article Association of osteopontin polymorphism with cancer risk: a meta-analysis

Table S2. Expression of PRMT7 in clinical breast carcinoma samples

Mammographic density and risk of breast cancer by tumor characteristics: a casecontrol

Supplementary Online Content

The A10389G polymorphism of ND3 gene and breast cancer: A meta-analysis

Multiple Fibroadenomas Harboring Carcinoma in Situ in a Woman with a Familty History of Breast/ Ovarian Cancer

Ovarian cancer: 2012 Update Srini Prasad MD Univ Texas MD Anderson Cancer Center

Association between ERCC1 and ERCC2 gene polymorphisms and susceptibility to pancreatic cancer

Focus on... Ovarian cancer. HE4 & ROMA score

A systemic review and meta-analysis for prognostic values of pretreatment lymphocyte-to-monocyte ratio on gastric cancer

Human epididymal protein 4 The role of HE4 in the management of patients presenting with pelvic mass Publication abstracts

Cancer Cell Research 19 (2018)

Introduction. Acta Medica Mediterranea, 2018, 34: 1441 ABSTRACT

Correlation between expression and significance of δ-catenin, CD31, and VEGF of non-small cell lung cancer

Relationship between vitamin D (1,25-dihydroxyvitamin D3) receptor gene polymorphisms and primary biliary cirrhosis risk: a meta-analysis

Epstein-Barr virus driven promoter hypermethylated genes in gastric cancer

Association between RUNX3 promoter methylation and non-small cell lung cancer: a meta-analysis

The Expression of Tumor-Derived and Stromal-Derived Matrix Metalloproteinase 2 Predicted Prognosis of Ovarian Cancer

New evidence of TERT rs polymorphism and cancer risk: an updated meta-analysis

Review Article Elevated expression of long noncoding RNA UCA1 can predict a poor prognosis: a meta-analysis

Circular RNA_LARP4 is lower expressed and serves as a potential biomarker of ovarian cancer prognosis

FTO Polymorphisms Are Associated with Obesity But Not with Diabetes in East Asian Populations: A Meta analysis

Relationship between SPOP mutation and breast cancer in Chinese population

Meta-Analysis of P73 Polymorphism and Risk of Non-Small Cell Lung Cancer

A meta-analysis of the effect of microrna-34a on the progression and prognosis of gastric cancer

CT findings in patients with Cabazitaxel induced pelvic pain and haematuria: a case series

CDH1 truncating alterations were detected in all six plasmacytoid-variant bladder tumors analyzed by whole-exome sequencing.

The angiotensin-converting enzyme (ACE) I/D polymorphism in Parkinson s disease

Association of BRCA1 Promoter Methylation with Breast Cancer in Asia: A Meta- Analysis

Study on the expression of MMP-9 and NF-κB proteins in epithelial ovarian cancer tissue and their clinical value

The Biology and Genetics of Cells and Organisms The Biology of Cancer

Is It Time To Implement Ovarian Cancer Screening?

Original Article MLH1 promoter methylation in non-small cell lung cancer: a meta-analysis

Title:DNA Methylation Subgroups and the CpG Island Methylator Phenotype in Gastric Cancer: A Comprehensive Profiling Approach

Cancer genetics

RETRACTED ARTICLE. Association between serum vitamin D levels and the risk of kidney stone: evidence from a meta-analysis

Corresponding author: F.Q. Wen

ADVANCES IN FAECAL DNA TESTING FOR COLORECTAL CANCER SCREENING: A LITERATURE REVIEW FOR PRIMARY CARE PROVIDERS

Downregulation of serum mir-17 and mir-106b levels in gastric cancer and benign gastric diseases

CircHIPK3 is upregulated and predicts a poor prognosis in epithelial ovarian cancer

The 16th KJC Bioinformatics Symposium Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis

Exploitation of Epigenetic Changes to Distinguish Benign from Malignant Prostate Biopsies

Are you the way you are because of the

RESEARCH ARTICLE. Contribution of Macrophage Migration Inhibitory Factor -173G/C Gene Polymorphism to the Risk of Cancer in Chinese Population

R. Piazza (MD, PhD), Dept. of Medicine and Surgery, University of Milano-Bicocca EPIGENETICS

mirna Dr. S Hosseini-Asl

Effectiveness of the surgical torque limiter: a model comparing drill- and hand-based screw insertion into locking plates

Lars Jacobsson 1,2,3* and Jan Lexell 1,3,4

Lack of association between ERCC5 gene polymorphisms and gastric cancer risk in a Chinese population

Profiles of gene expression & diagnosis/prognosis of cancer. MCs in Advanced Genetics Ainoa Planas Riverola

The association between methylenetetrahydrofolate reductase gene C677T polymorphisms and breast cancer risk in Chinese population

Comparison of complications in one-stage bilateral total knee arthroplasty with and without drainage

Mir-595 is a significant indicator of poor patient prognosis in epithelial ovarian cancer

RESEARCH ARTICLE. Common Variants in the PALB2 Gene Confer Susceptibility to Breast Cancer: a Meta-analysis

AN INTRODUCTION TO EPIGENETICS DR CHLOE WONG

Overexpression of long-noncoding RNA ZFAS1 decreases survival in human NSCLC patients

Repressive Transcription

Why did all biomarker identification studies fail in endometriosis?

Expression of lncrna TCONS_ in hepatocellular carcinoma and its influence on prognosis and survival

c-erbb-2 expression and prognosis of gastric cancer: a meta-analysis

Ann Dermatol Vol. 30, No. 2,

Chapter 9. Cells Grow and Reproduce

Prognostic value of serum CYFRA 21-1 and CEA for non- small- cell lung cancer

Combined Effects Methylation of FHIT, RASSF1A and RARβ Genes on Non-Small Cell Lung Cancer in the Chinese Population

Surveillance report Published: 17 March 2016 nice.org.uk

Transcription:

Wang et al. Journal of Ovarian Research (2016) 9:23 DOI 10.1186/s13048-016-0231-1 RESEARCH The association between CDH1 promoter methylation and patients with ovarian cancer: a systematic meta-analysis Qiang Wang 1, Bing Wang 2, Yun-mei Zhang 3 and Wei Wang 4* Open Access Abstract Background: The down-regulation of E-cadherin gene (CDH1) expression has been regarded as an important event in cancer invasion and metastasis. However, the association between CDH1 promoter methylation and ovarian cancer remains unclear. A meta-analysis was conducted to evaluate the potential role of CDH1 promoter methylation in ovarian cancer. Methods: Relevant articles were identified by searches of PubMed, EMBASE, Cochrane Library, CNKI and Wanfang databases. The pooled odds ratio (OR) and corresponding 95 % confidence interval (CI) were calculated to assess the strength of association. Results: Nine studies were performed using the fixed-effects model in this study, including 485 cancer tissues and 255 nonmalignant tissues. The findings showed that CDH1 promoter methylation had an increased risk of ovarian cancer in cancer tissues (OR = 8.71, P < 0.001) in comparison with nonmalignant tissues. Subgroup analysis of the ethnicity showed that the OR value of CDH1 methylationinasianpopulationsubgroup(or=13.20,p < 0.001) was higher than that in Caucasian population subgroup (OR = 3.84, P = 0.005). No significant association was found between ovarian cancer and low malignant potential (LMP) tumor (P = 0.096) among 2 studies, and between CDH1 promoter methylation and tumor stage and tumor histology (all P > 0.05). There was not any evidence of publication bias by Egger stest(allp >0.05). Conclusions: CDH1 promoter methylation can be a potential biomarker in ovarian cancer risk prediction, especially Asians can be more susceptible to CDH1 methylation. However, more studies are still done in the future. Keywords: CDH1 promoter, Methylation, Ovarian cancer, LMP Background Ovarian cancer, the most lethal tumor in gynecologic cancers, is the fifth most cause of cancer-related deaths among women. According to cancer statistics, approximately 21,290 women will be diagnosed and 14,180 will die due to ovarian cancer in the United States in 2015 [1]. Among ovarian cancer, serous ovarian carcinoma is the most common histotype and only less than 20 % of ovarian cancer can be detected early due to the lack of effective early detection and accurate diagnosis methods [2]. More than * Correspondence: wangwei160118@163.com 4 Radiology Department, The First Hospital of Jilin University, Changchun 130041, China Full list of author information is available at the end of the article 80 % of ovarian cancer patients at advanced stages relapse [3]. While the overall 5-year survival rate is only 31 % [4]. Epigenetic alterations (DNA methylation, histone modifications, nucleosome positioning and non-coding RNAs) are identified to be strongly associated with cancer [5]. DNA methylation is an important mechanism of epigenetic variability involved in gene expression, which plays key roles in the development of cancer [6 8]. Aberrant methylation of CpG islands of the promoter regions is the major alternative to accomplish tumor suppressor gene (TSG) silencing [9 11]. CDH1, a tumor suppressor gene, also called as epithelial cadherin (E-cadherin) and cadherin-1, is located on 16q23 [12]. CDH1, a member of the cadherin family, plays an important role in epithelial cell-cell adhesion and in maintaining normal tissue architecture [13]. 2016 Wang et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Wang et al. Journal of Ovarian Research (2016) 9:23 Page 2 of 7 The reduction of CDH1 expression may involve in invasion and metastasis of several cancers [13 15]. However, the association between CDH1 promoter methylation and ovarian cancer remains to be certified. In this study, we performed a meta-analysis to evaluate the relationships between ovarian cancer tissues and nonmalignant ovarian tissues and Low malignant potential (LMP) tumor tissues. In addition, we also assess the relationship between CDH1 promoter methylation and clinicopathological features in ovarian cancer. Methods Literature search and selection criteria A systematic literature search was performed in PubMed, EMBASE, Cochrane Library, CNKI and Wanfang databases, using the following keywords and search items: (CDH1 OR E-cadherin OR cadherin 1) AND (ovarian OR ovary) AND (cancer OR carcinoma OR tumor) AND methylation. The search updated until December 25. 2015. Moreover, a manual search of the references was also conducted to identify the potentially additional articles. For eligible studies, studies must meet the following criteria: (1) all patients were diagnosed for primary ovarian cancer; (2) the study was about CDH1 promoter methylation and ovarian cancer; (3) study must have sufficient data about the frequencies of CDH1 promoter methylation to assess to the relationship between CDH1 promoter methylation and ovarian cancer; (4) only the most recent paper or the most complete one was selected to avoid duplicated publications. Study was excluded if it did not meet the inclusion criteria above. Data extraction For each eligible study, the following information were extracted: the first author s name, publication year, methylation region, country, ethnicity, the method of methylation detection, type of control, the number of methylation, the sample size, clinicopathological parameters, such as the number of tumor stage, the number of tumor histology, etc. Nonmalignant ovarian tissues were defined as controls, including benign disease, normal tissues or adjacent normal tissues. Low malignant potential (LMP) tumors were also served as a single control group. Statistical analysis Meta-analysis was conducted using the STATA software (version 12.0, Stata Corporation, College Station, TX, USA). The pooled odds ratios (OR) and 95 % confidence interval (95 % CI) were calculated to evaluate the association between CDH1 promoter methylation and ovarian cancer risk. Between-study heterogeneity was examined using the Cochran s Q test and I 2 statistic [16]. If I 2 <50% and p 0.1 were considered as a measure of lack heterogeneity, a fixed-effects model was applied; otherwise, the random-effects model was used [17, 18]. Publication bias was assessed by using Egger s linear regression test [19]. Results Study characteristics One hundred twenty-seven potentially relevant articles were initially identified by the databases above. These studies were further selected based on the inclusion criteria. Finally, a total of 9 studies met the inclusion criteria were included in the current meta-analysis (Fig. 1). The methylation region of these studies was promoter. Among these studies, 8 studies used methylation-specific polymerase chain reaction (MSP) and 1 study used methylation specific headloop suppression PCR (MSHSP). There were two control groups, including nonmalignant control with 8 studies and LMP control with 2 studies. 8 studies evaluated the association between CDH1 promoter methylation and ovarian cancer risk, 4 studies evaluated the relationship between CDH1 and tumor histology, and 3 studies assessed the relationship between CDH1 and tumor stage. The main characteristics of included studies were listed in Table 1 [20 26]. The association between CDH1 promoter methylation and OC risk Significant between-study heterogeneity was not detected (I 2 = 16.6 % and P = 0.299), a fixed-effects model was used. A significant association was observed between CDH1 promoter methylation and ovarian cancer among 8 studies (OR = 8.71, 95 % CI = 4.87-15.58, P <0.001), including 435 malignant tissues from ovarian cancer and 255 nonmalignant tissues (Fig. 2). Subgroup analysis based on the ethnic population showed that the CDH1 promoter methylation status was significant associated with the risk of ovarian cancer in Asian population and Caucasian population (OR = 13.20, 95 % CI = 6.12-28.45, P <0.001; OR = 3.84, 95 % CI = 1.52-9.74, P = 0.005; respectively) (Fig. 3). No significant association was found in the comparison of ovarian cancer and LMP tumor (OR = 2.40, 95 % CI = 0.86-6.76, P = 0.096), reporting a total of 109 ovarian cancer patients and 37 low malignant tumor patients in 2 studies (Table 2). The association of CDH1 promoter methylation and clinicopathological features The associations between CDH1 promoter methylation and clinicopathological features were further analyzed in the present meta-analysis (Table 2), such as tumor stage (57 early ovarian cancer patients vs. 142 advanced ovarian cancer patients) and tumor histology (122 serous cancer patients vs. 82 non-serous cancer patients), including 3 studies and 4 studies respectively. Between-study heterogeneity was lack (P > 0.1), the fixed-effects model was used. The result showed that CDH1 promoter methylation

Wang et al. Journal of Ovarian Research (2016) 9:23 Page 3 of 7 Fig. 1 Flow diagram of the literature search strategy Table 1 The main characteristics of included studies in this meta-analysis First author Region Country Race Method Sample Control Case Control Stage 1-2 Stage 3-4 Serous Non-serous M/N M/N M/N M/N M/N M/N Rathi 2002 [35] Promoter USA Caucasians MSP Tissue NMT 14/ 2/39 - - - - 49 Makarla 2005 [21] Promoter USA Caucasians MSP Tissue NMT 6/23 4/39 - - 2/9 3/13 Makarla 2005 [21] Promoter USA Caucasians MSP Tissue LMP 6/23 4/23 - - - - Yuecheng 2006 [26] Promoter China Asians MSP Tissue NMT 34/ 0/34 - - - - 80 Shen 2007 [23] Promoter China Asians MSP Tissue NMT 18/ 1/30 2/22 16/41 9/34 9/29 63 Montavon 2012 [34] Promoter Australia Caucasians MSHSP Tissue NMT 17/ 1/5 - - - - 78 Bhagat 2013 [20] Promoter India Asians MSP Tissue NM 31/ 2/34 8/23 23/63 17/44 7/25 86 Bhagat 2013 [20] Promoter India Asians MSP Tissue LMP 31/ 2/14 - - - - 86 Wu 2014 [25] Promoter China Asians MSP Tissue NMT 32/ - 7/12 25/38 25/35 7/15 50 Moselhy 2015 [22] Promoter Saudi Arabia Asians MSP Tissue NMT 12/ 18 8/32 - - - - Sun and Zhang 2015 [24] Promoter China Asians MSP Tissue NMT 15/ 38 1/42 - - - - MSP Methylation Specific PCR, MSHSP Methylation specific headloop suppression PCR, NMT nonmalignant tissues, LMP low malignant potential tumor, - indicates data not available, M stands for the number of methylation positive, N stands for the number of the total samples

Wang et al. Journal of Ovarian Research (2016) 9:23 Page 4 of 7 Fig. 2 Forest plot of the association between CDH1 promoter methylation and ovarian cancer was not significantly associated with tumor histology and tumor stage (OR = 1.41, 95 % CI = 0.76-2.60, P =0.273; OR = 0.55, 95 % CI = 0.28-1.08, P = 0.082; respectively). Publication bias Egger s test was performed to estimate the publication bias of included studies. Egger s test of CDH1 methylation of cancer versus nonmalignant control showed that there was not any evidence of publication bias (P = 0.335). No publication bias was detected in tumor histology and tumor stage (P =0.935andP = 0.316 respectively) (Table 2). Discussion The gene epigenomic regulation of initiation and progression of cancer has two essential components of the molecular mechanism, which are the hypermethylation of tumor suppressor genes and hypomethylation of oncogenes [27 29]. The CpG islands methylation of the promoter is an important reason for loss of gene expression, which can lead to the transcription repression of the gene [30]. Inactivation of CDH1 by promoter hypermethylation has been observed in several types of cancers, including breast cancer, ovarian cancer and gastric cancer [31 33]. However, the frequency of CDH1 promoter methylation was inconsistent. Montavon et al. reported that the frequency of CDH1 promoter methylation was 21.8 % and 20 % in ovarian cancer and nonmalignant ovarian disease respectively [34]. Rathi et al. reported that the frequency of CDH1 promoter methylation was 28.6 % and 5 % in ovarian cancer tissues and nonmalignant tissues respectively [35]. So the current meta-analysis was performed to identify the association between CDH1 promoter methylation and ovarian cancer risk. A total of 9 studies including 485 cancer tissues and 255 nonmalignant tissues were involved in our study. CDH1 promoter methylation had an increased risk in cancer tissues (OR = 8.71, 95 % CI = 4.87-15.58, P < 0.001) in comparison with nonmalignant tissues. Subgroup analysis based on the ethnicity suggested that the CDH1 promoter methylation status was significantly increased risks of ovarian cancer in Asian population and Caucasian population (OR = 13.20, 95 % CI = 6.12-28.45; OR = 3.84, 95 % CI = 1.52-9.74; respectively). The OR value of Asian population subgroup (OR = 13.20) was higher than that in Caucasian population subgroup (OR = 3.84), suggesting that Asian population can be more susceptible to

Wang et al. Journal of Ovarian Research (2016) 9:23 Page 5 of 7 Fig. 3 Forest plot of the association between CDH1 promoter methylation and ovarian cancer based on subgroup analysis of the ethnicity Table 2 Summary of the association of CDH1 promoter methylation and ovarian cancer Studies Overall OR 95CI % I2; p P value Cases Controls p (Egger s test) NMT group 8 8.71(4.87-15.58) 16.6 %; 0.299 <0.001 435 255 0.335 Race Asians 5 13.20 (6.12-28.45) 0.0 %; 0.545 <0.001 285 172 Caucasians 3 3.84 (1.52-9.74) 0.0 %; 0.380 0.005 150 83 LMT group 2 2.40 (0.86-6.76) 0.0 %; 0.512 0.096 109 37 Clinicopathological Patients features Histology Stage 1-2 Stage 3-4 4 1.41 (0.76-2.60) 0.0 %; 0.483 0.273 122 82 0.935 Patients Stage Serous Non-serous 3 0.55 (0.28-1.08) 45.3 %; 0.161 0.082 57 142 0.316 NMT nonmalignant tissues, LMP low malignant potential tumor

Wang et al. Journal of Ovarian Research (2016) 9:23 Page 6 of 7 CDH1 promoter methylation. However, the results should be interpreted with caution as only small subjects were included in subgroup analyses. No significant association was observed between ovarian cancer and LMP tumor (P = 0.096), including a total of 109 ovarian cancer patients and 37 low malignant tumor patients. We further evaluated the relationships of CDH1 promoter methylation with clinicopathological features, such as tumor histology and tumor stage. Our findings indicated that the CDH1 promoter methylation status was not significantly associated with tumor stage and histology. Publication bias was not detected by Egger s test (all P >0.05). The current study had some limitations. Firstly, the search strategy was restricted to articles published in English or Chinese. Secondly, the total sample size was not sufficient larger (less than 1000) [36], our results may be lack vigorous power to evaluate the associations between CDH1 promoter methylation and ovarian cancer risk. Thirdly, based on the limitation of insufficient data, we did not study the CDH1 promoter methylation status in other clinicopathological features, such as tumor grade, sex status and age etc. Therefore, a meta-analysis including more studies with larger sample size should be necessary to confirm the results in the future. Conclusion CDH1 promoter methylation is significantly associated with ovarian cancer risk. In addition, the potential association on CDH1 promoter methylation and some clinicopathological features are still unclear due to the limitation of studies and sample size. Ethics approval and consent to participate Not applicable Consent for publication Not applicable. Availability of data and material All data is available in this paper. Competing interests The authors declare that they have no competing interests. Authors contributions WW and QW contributed to the conception and design. QW, BW, YMZ, and WW contributed to completion of articles, the data extraction, data calculated and design of figures and tables. All the authors approved the final manuscript. Funding None. Author details 1 Obstetrics and Gynecology Department, The Second Hospital of Jilin University, Changchun 130041, China. 2 Plastic Surgery Department, China-Japan Friendship Hospital Affiliated Jilin University, Changchun 130033, China. 3 Obstetrics and Gynecology Department, The Second People s Hospital of Dunhua, Dunhua 133700, China. 4 Radiology Department, The First Hospital of Jilin University, Changchun 130041, China. Received: 21 February 2016 Accepted: 23 March 2016 References 1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin. 2015;65(1):5 29. 2. Kaja S et al. Detection of novel biomarkers for ovarian cancer with an optical nanotechnology detection system enabling label-free diagnostics. J Biomed Opt. 2012;17(8):0814121 8. 3. Hall M et al. Targeted anti-vascular therapies for ovarian cancer: current evidence. Br J Cancer. 2013;108(2):250 8. 4. Network CGAR. Integrated genomic analyses of ovarian carcinoma. Nature. 2011;474(7353):609 15. 5. Khan SA, Reddy D, Gupta S. Global histone post-translational modifications and cancer: Biomarkers for diagnosis, prognosis and treatment? World J Biol Chem. 2015;6(4):333 45. 6. Pouliot M-C et al. The role of methylation in breast cancer susceptibility and treatment. Anticancer Res. 2015;35(9):4569 74. 7. Carrió E, Suelves M. DNA methylation dynamics in muscle development and disease. Front Aging Neurosci. 2015;7:19. 8. Henning SM et al. Epigenetic effects of green tea polyphenols in cancer. Epigenomics. 2013;5(6):729 41. 9. Herman JG, Baylin SB. Gene silencing in cancer in association with promoter hypermethylation. N Engl J Med. 2003;349(21):2042 54. 10. Esteller M, Herman JG. Cancer as an epigenetic disease: DNA methylation and chromatin alterations in human tumours. J Pathol. 2002;196(1):1 7. 11. Huang T et al. Meta-analyses of gene methylation and smoking behavior in non-small cell lung cancer patients. Sci Rep. 2015;5:8897. 12. Berx G et al. E-cadherin is a tumour/invasion suppressor gene mutated in human lobular breast cancers. EMBO J. 1995;14(24):6107 15. 13. Oka H et al. Expression of E-cadherin cell adhesion molecules in human breast cancer tissues and its relationship to metastasis. Cancer Res. 1993; 53(7):1696 701. 14. Takeichi M. Cadherin cell adhesion receptors as a morphogenetic regulator. Science. 1991;251(5000):1451 5. 15. Tsanou E et al. The E-cadherin adhesion molecule and colorectal cancer. A global literature approach. Anticancer Res. 2008;28(6A):3815 26. 16. Coory MD. Comment on: Heterogeneity in meta-analysis should be expected and appropriately quantified. Int J Epidemiol. 2010;39(3):932. 17. Higgins JP et al. Measuring inconsistency in meta-analyses. BMJ. 2003; 327(7414):557. 18. DerSimonian R. Meta-analysis in the design and monitoring of clinical trials. Stat Med. 1996;15(12):1237 48. 19. Peters JL et al. Comparison of two methods to detect publication bias in meta-analysis. JAMA. 2006;295(6):676 80. 20. Bhagat R et al. Altered expression of β-catenin, E-cadherin, and E-cadherin promoter methylation in epithelial ovarian carcinoma. Tumor Biol. 2013; 34(4):2459 68. 21. Makarla PB et al. Promoter hypermethylation profile of ovarian epithelial neoplasms. Clin Cancer Res. 2005;11(15):5365 9. 22. Moselhy SS et al. Hypermethylation of P15, P16, and E-cadherin genes in ovarian cancer. Toxicol Ind Health. 2015;31(10):924 30. 23. Shen WJ et al. Promoter hypermethylation of CDH1 gene in epithelial ovarian carcinoma. Chin J Pract Gynecol Obstet. 2007;23(07):520 2. 24. Sun B, Zhang X. Value of abnormal methylation of CDH1 gene and the detection of serum HE4 in the identification of ovarian cancer and ovarian endometriosis cyst. Hainan Med J. 2015;26(20):3023 5. 25. Wu X et al. Clinical importance and therapeutic implication of E-cadherin gene methylation in human ovarian cancer. Med Oncol. 2014;31(8):1 8. 26. Yuecheng Y, Hongmei L, Xiaoyan X. Clinical evaluation of E-cadherin expression and its regulation mechanism in epithelial ovarian cancer. Clin Exp Metastasis. 2006;23(1):65 74. 27. Bodmer W. 1998 Runme Shaw Memorial Lecture: somatic evolution of cancer. Ann Acad Med Singapore. 1999;28(3):323 9. 28. Corson TW, Gallie BL. One hit, two hits, three hits, more? Genomic changes in the development of retinoblastoma. Genes Chromosomes Cancer. 2007; 46(7):617 34.

Wang et al. Journal of Ovarian Research (2016) 9:23 Page 7 of 7 29. Franco R et al. Oxidative stress, DNA methylation and carcinogenesis. Cancer Lett. 2008;266(1):6 11. 30. Yoshiura K et al. Silencing of the E-cadherin invasion-suppressor gene by CpG methylation in human carcinomas. Proc Natl Acad Sci. 1995;92(16):7416 9. 31. Tamura G et al. E-Cadherin gene promoter hypermethylation in primary human gastric carcinomas. J Natl Cancer Inst. 2000;92(7):569 73. 32. Fearon ER. BRCA1 and E-Cadherin promoter hypermethylation and gene inactivation in cancer association or mechanism? J Natl Cancer Inst. 2000; 92(7):515 7. 33. Liu X, Chu K-M. E-cadherin and gastric cancer: cause, consequence, and applications. Biomed Res Int. 2014;2014:637308. 34. Montavon C et al. Prognostic and diagnostic significance of DNA methylation patterns in high grade serous ovarian cancer. Gynecol Oncol. 2012;124(3):582 8. 35. Rathi A et al. Methylation profiles of sporadic ovarian tumors and nonmalignant ovaries from high-risk women. Clin Cancer Res. 2002;8(11):3324 31. 36. Karahalios A et al. A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures. BMC Med Res Methodol. 2012;12(1):96. Submit your next manuscript to BioMed Central and we will help you at every step: We accept pre-submission inquiries Our selector tool helps you to find the most relevant journal We provide round the clock customer support Convenient online submission Thorough peer review Inclusion in PubMed and all major indexing services Maximum visibility for your research Submit your manuscript at www.biomedcentral.com/submit