Literature DB >> 30895748

Influence of IL-1R2 polymorphisms on endometrial cancer susceptibility in the Chinese Han population.

Jiamin Wu1, Wenjie Zhang2, Junhong Cai3, Sizhe Huang4, Fanglin Niu1, Ying Zhang3, Shan Bao4, Tianbo Jin1,5.   

Abstract

BACKGROUND: Recently, many studies have identified that genetic factor plays a crucial role in endometrial cancer development. The purpose of this study is to investigate the influence of single nucleotide polymorphisms (SNPs) of IL-1R2 on endometrial cancer susceptibility.
METHODS: We performed a case-control study that included 293 patients with endometrial cancer and 579 healthy controls. Six SNPs in the IL-1R2 gene were genotyped using the Agena MassARRAY platform. Genetic models and haplotype analyses were used to assess the association between SNPs and endometrial cancer risk by computing odds ratios (ORs) and 95% confidence intervals (CIs).
RESULTS: Overall analysis results found that two SNPs (rs4851527 and rs3218896) and haplotypes TGTC and TACT were significantly associated with endometrial cancer risk. Stratified analysis by age showed that rs2072472 was associated with endometrial cancer risk in age >54 subgroup.
CONCLUSIONS: These findings suggested that IL-1R2 polymorphisms may contribute to the development of endometrial cancer. Further studies are required to confirm the results.
© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  zzm321990IL-1R2zzm321990; endometrial cancer; polymorphisms; susceptibility

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Year:  2019        PMID: 30895748      PMCID: PMC6503006          DOI: 10.1002/mgg3.650

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

Endometrial cancer is the most common type of gynecological malignancy worldwide and has a large geographic variation in incidence and mortality rates (Bray et al., 2018). In China, there has been a significant increase in the number of women diagnosed with endometrial cancer (Chen et al., 2016). Although early menarche, unopposed estrogen, endometriosis, late menopause, obesity, diabetes, hypertension, and nulliparity are well‐known risk factors for the development of endometrial cancer (Amant et al., 2005), only a part of individuals exposed to these risk factors develop endometrial cancer during their lifetime, suggesting that genetic factor plays a crucial role in endometrial cancer development. The single nucleotide polymorphism (SNP) is the most common form of human genetic variations. It has been reported that polymorphisms of interleukin genes are significantly associated with gynecologic cancers risk (Koensgen et al., 2015; Yu et al., 2015; Zhou et al., 2018). Recently, genome‐wide association analysis studies have identified many risk loci in the candidate endometrial cancer susceptibility genes, such as HNF1B (Painter et al., 2015), LOC643623, AKT1, and KLF5 (Burki, 2016; Cheng et al., 2016). However, the mechanism of endometrial cancer is still unclear. The association between inflammation and cancer have been recognized for some years and recently become the focus of tumor studies (Grivennikov, Greten, & Karin, 2010). It has also indicated the proinflammatory milieu can directly increase estrogen production, which may facilitate carcinogenesis by disrupting the estrogen‐progesterone balance (Modugno, Ness, Chen, & Weiss, 2005). A growing number of studies reported that SNPs locus in interleukin (IL) genes, such as IL‐32 (Yu et al., 2015), IL‐6 (Wang, Zhang, Zheng, Liu, & Li, 2016), and IL1A (Yu et al., 2016), are associated with the risk endometrial cancer. Interleukin 1 receptor type 2 (IL‐1R2) is located on the long arm of human chromosome 2 at band 2q12, belongs to the interleukin 1 receptor family (Boraschi & Tagliabue, 2013). IL‐1R2 serves as a negative regulator of IL‐1 signaling by competing with IL‐1R1 for IL‐1 and by complexing with IL‐1 receptor accessory protein (IL‐1RAP) once it binds IL‐1, thereby sequestering both the ligand and the accessory protein required for signal transduction (Lang et al., 1998). IL‐1R2 is an important mediator involved in many cytokine induced immune and inflammatory responses (Peters, Joesting, & Freund, 2013). Association studies between IL‐1R2 gene polymorphisms and diseases have been carried out recently (Ren, Dong, Huyan, Jin, & Chen, 2018; Xia et al., 2015; Xie et al., 2017). However, the influence of IL‐1R2 polymorphisms on endometrial cancer susceptibility in the Chinese Han population has not been reported yet. Given the role of IL‐1R2 in immune regulation and inflammatory response, we hypothesized that common genetic polymorphisms in the IL‐1R2 gene may also influence the risk of endometrial cancer. To investigate this hypothesis, we recruited 293 patients with endometrial cancer and 579 healthy controls to investigate the association between polymorphisms in the IL‐1R2 gene and endometrial cancer risk in the Chinese Han women population.

MATERIALS AND METHODS

Study participants

In this case‐control study, a total of 293 female patients with new diagnosis of endometrial cancer were recruited from the Hainan General Hospital and the Northwest Women and Children Hospital. All cases were confirmed histologically to have endometrial cancer. The patients were recruited without restrictions of age, sex, or disease stage. The controls were 579 females randomly selected from a pool of healthy volunteers who visited the general health check‐up center at the same hospitals during the same period. The mean age of the participants was 48.06 years in the control group and 59.31 years in the case group, respectively. Women who have a history of any cancer or hysterectomy were excluded in the study. The case and control subjects were Chine Han population. This study was performed in accordance with the ethical principles of the Declaration of Helsinki and was approved by the Ethics Committee of the Hainan General Hospital and the Northwest Women and Children Hospital. All of the participants voluntarily agreed to participate in this study and all provided written informed consent.

Genotyping

We collected 5ml peripheral blood samples from each subject using venipuncture into ethylene diamine tetraacetic acid (EDTA)‐coated blood vacutainer collection tubes and then stored at −80°C for further use. We used the GoldMag‐Mini Whole Blood Genomic DNA Purification Kit (GoldMag. Co. Ltd., Xi'an, China) to extract genomic DNA from blood samples following the manufacturer's instructions. We assessed the purity and concentration of the extracted DNA using a spectrophotometer (NanoDrop 2000; Thermo Fisher Scientific, Waltham, MA) by absorbance measurements at 260 and 280 nm. Six SNPs (rs11674595, rs4851527, rs719250, rs3218896, rs3218977, and rs2072472) in IL‐1R2 with minor allele frequency (MAF) greater than 0.05 in the global population from the HapMap database and previously reported were adopted for analysis. We used the Agena Bioscience Assay Design Suite V2.0 software (https://agenacx.com/online-tools/) to design the primers of PCR amplification and extension of the six selected SNPs. These SNPs in IL‐1R2 were genotyped in the case and control groups using the Agena MassARRAY platform with iPLEX gold chemistry (Agena Bioscience, San Diego, CA) according to the manufacture's instructions. We used the Agena Bioscience TYPER software (version 4.0) to manage and analyze data.

Statistical analysis

The Hardy–Weinberg equilibrium (HWE) was performed for each polymorphism among controls using the PLINK software (version 1.07) (Purcell et al., 2007). We compared the distributions of SNPs allele and genotype frequencies between cases and controls using χ 2 test. The association analyses were conducted using logistic regression analysis under codominant, dominant, recessive, and additive genetic models with adjustment for age. Pair‐wise linkage disequilibrium (LD) between the five SNPs was assessed using the Haploview software (version 4.2) (Barrett, Fry, Maller, & Daly, 2005). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to measure the potential association between SNPs and endometrial cancer risk (Lin et al., 2017; Tian et al., 2018). p value less than 0.05 was considered statistically significant. All statistical tests were two‐sided. The statistical analyses were performed using the Statistical Package of the Social Sciences (SPSS) software version 20.0 (SPSS Inc., Chicago, IL).

RESULTS

The distributions of the genotype frequency of the six SNPs among the healthy controls were found to be in accordance with the HWE (p > 0.05). We used Pearson χ 2 test to compare the distributions of the allele frequency of the SNPs in IL‐1R2 between the case group and the control group (Table 1). However, the allele frequency of all the six SNPs in case group did not differ significantly compared to that in the control group (p > 0.05). There was no statistically significant association between the IL‐1R2 polymorphisms and endometrial cancer risk in the Chinese Han population.
Table 1

Alleles distribution of IL‐1R2 polymorphisms and association with endometrial cancer risk

SNP‐IDChrPositionAlleles A/BMAFHWE‐p OR (95%CI) p
CaseControl
rs116745952101994530C/T0.2220.2220.7181.00 (0.78–1.27)0.978
rs48515272102005914A/G0.2650.3070.2840.81 (0.65–1.01)0.063
rs7192502102007256A/G0.3190.3010.2011.09 (0.88–1.35)0.448
rs32188962102015190C/T0.1660.1360.5961.27 (0.96–1.67)0.091
rs32189772102024739A/G0.2490.2250.0951.15 (0.91–1.45)0.252
rs20724722102026557C/T0.2400.2160.3261.15 (0.90–1.45)0.260

95% CI: 95% Confidence interval; A: Minor allele; B: Major allele; Chr: chromosome; HWE: Hardy Weinberg equilibrium; MAF: Minor allele frequency; OR: Odds ratio; SNP: Single nucleotide polymorphism.

p values were calculated from χ 2 test ( two sided).

p < 0.05 was considered statistically significant.

Alleles distribution of IL‐1R2 polymorphisms and association with endometrial cancer risk 95% CI: 95% Confidence interval; A: Minor allele; B: Major allele; Chr: chromosome; HWE: Hardy Weinberg equilibrium; MAF: Minor allele frequency; OR: Odds ratio; SNP: Single nucleotide polymorphism. p values were calculated from χ 2 test ( two sided). p < 0.05 was considered statistically significant. Next, we further evaluated the association between the IL‐1R2 polymorphisms and endometrial cancer risk under the genetic models (codominant, dominant, recessive, and additive) by logistic regression analysis adjusting for age (Table 2). Compared with the GG wild‐type homozygous genotype, the AG genotype of rs4851527 was associated with a decreased risk of endometrial cancer (OR = 0.71, 95% CI: 0.52–0.96, p = 0.028). When the wild‐type homozygous genotype GG was used as a reference, the variant homozygote AA and heterozygote AG genotypes were also found to be associated with a reduced risk of endometrial cancer in the dominant model (OR = 0.71, 95% CI: 0.53–0.96, p = 0.024). Similar association was found between rs4851527 and the risk of endometrial cancer in the additive model (OR = 0.79, 95% CI: 0.63–1.00, p = 0.047).
Table 2

Genetic model analyses of the association between IL‐1R2 polymorphisms and endometrial cancer risk

SNP–IDModelGenotypeCaseControlWithout adjust OR (95%CI) p Adjust OR (95%CI) p
rs11674595CodominantTT1823501.00 1.00 
CT891960.87 (0.64–1.19)0.3880.90 (0.65–1.24)0.515
CC20301.28 (0.71–2.32)0.4121.21 (0.65–2.25)0.548
DominantTT1823501.00 1.00 
CC + CT1092260.93 (0.69–1.24)0.6120.94 (0.70–1.27)0.699
RecessiveTT + CT2715461.00 1.00 
CC20301.34 (0.75–2.41)0.3221.25 (0.68–2.31)0.468
Additive1.00 (0.79–1.26)0.9791.00 (0.78–1.27)0.977
rs4851527CodominantGG1632721.00 1.00 
AG1052580.68 (0.50–0.92)0.0110.71 (0.52–0.96)0.028
AA25490.85 (0.51–1.43)0.5440.74 (0.43–1.28)0.280
DominantGG1632721.00 1.00 
AA + AG1303070.71 (0.53–0.94)0.0160.71 (0.53–0.96)0.024
RecessiveGG + AG2685301.00 1.00 
AA25491.01 (0.61–1.67)0.9720.86 (0.51–1.46)0.580
Additive0.81 (0.65–1.01)0.0630.79 (0.63–1.00)0.047
rs719250CodominantGG1372891.00 1.00 
AG1252311.14 (0.85–1.54)0.3841.25 (0.92–1.71)0.152
AA31591.11 (0.69–1.79)0.6741.20 (0.73–1.97)0.470
DominantGG1372891.00 1.00 
 AA + AG1562901.14 (0.86–1.50)0.3791.24 (0.93–1.67)0.145
RecessiveGG + AG2625201.00 1.00 
AA31591.04 (0.66–1.65)0.8581.08 (0.67–1.74)0.745
Additive1.08 (0.88–1.34)0.4581.15 (0.92–1.43)0.215
rs3218896CodominantTT2034331.00 1.00 
CT811331.30 (0.94–1.79)0.1121.41 (1.00–1.97)0.048
CC8121.42 (0.57–3.53)0.4481.50 (0.58–3.85)0.401
DominantTT2034331.00 1.00 
CC + CT891451.31 (0.96–1.79)0.0911.41 (1.02–1.96)0.037
RecessiveTT + CT2845661.00 1.00 
CC8121.33 (0.54–3.29)0.5391.37 (0.54–3.51)0.509
Additive1.26 (0.96–1.66)0.0941.34 (1.01–1.79)0.043
rs3218977CodominantGG1633411.00 1.00 
AG1112161.08 (0.80–1.44)0.6311.05 (0.77–1.43)0.747
AA17221.62 (0.84–3.13)0.1541.28 (0.65–2.54)0.475
DominantGG1633411.00 1.00 
AA + AG1282381.13 (0.85–1.50)0.4171.08 (0.80–1.44)0.628
RecessiveGG + AG2745571.00 1.00 
AA17221.57 (0.82–3.01)0.1731.26 (0.64–2.46)0.505
Additive1.16 (0.91–1.47)0.2391.09 (0.85–1.39)0.515
rs2072472CodominantTT1743601.00 1.00 
CT961881.06 (0.78–1.43)0.7241.09 (0.80–1.50)0.586
CC22311.47 (0.83–2.61)0.1911.44 (0.79–2.64)0.232
DominantTT1743601.00 1.00 
CC + CT1182191.12 (0.84–1.49)0.4591.14 (0.85–1.54)0.382
RecessiveTT + CT2705481.00 1.00 
CC22311.44 (0.82–2.54)0.2061.40 (0.77–2.53)0.265
Additive1.14 (0.90–1.43)0.2751.15 (0.91–1.46)0.254

95% CI: 95% Confidence interval; OR: Odds ratio; SNP: Single nucleotide polymorphism.

Adjust OR and 95% CI were calculated using a conditional logistic regression adjusted with age. p < 0.05 was considered statistically significant.

Genetic model analyses of the association between IL‐1R2 polymorphisms and endometrial cancer risk 95% CI: 95% Confidence interval; OR: Odds ratio; SNP: Single nucleotide polymorphism. Adjust OR and 95% CI were calculated using a conditional logistic regression adjusted with age. p < 0.05 was considered statistically significant. Additionally, we observed a statistically significant association between the rs3218896 polymorphism and endometrial cancer risk. The relative OR of 1.41 (95% CI: 1.00–1.97) showed that the variant heterozygote CT was correlated with a higher risk of developing endometrial carcinoma comparing with the wild‐type homozygous genotype TT. A statistically significant interaction was observed between the variant homozygote CC and heterozygote CT genotypes of rs3218896 for an increased risk of endometrial cancer in the dominant model compared with the TT wild‐type genotype individuals (OR = 1.41, 95% CI: 1.02–1.96, p = 0.037). We also found that the SNP rs3218896 was significantly associated with an increased risk of endometrial cancer in the additive model (OR = 1.34, 95% CI: 1.01–1.79, p = 0.043). However, no associations between the four IL‐1R2 polymorphisms (rs11674595, rs719250, rs3218977, and rs2072472) and endometrial cancer risk were observed in the different genetic models. The results of pair‐wise LD analysis with these six SNPs are shown in Figure 1. We observed two small haplotype blocks; first composed of rs11674595, rs4851527, rs719250, and rs3218896; second of rs3218977 and rs2072472. The distributions of the frequencies of the haplotypes TGTC and TACT were significantly different between endometrial cancer and control groups (p = 0.031 and p = 0.049, respectively). Logistic regression analysis confirmed that the haplotypes TGTC (OR = 0.73, 95% CI: 0.54–0.97) and TACT (OR = 0.79, 95% CI: 0.63–1.00) were significantly associated with decreased endometrial cancer risk after adjusting for age (Table 3). Moreover, the haplotype AA was found to be significantly associated with a reduced risk of endometrial cancer before adjusting for age (OR = 0.81, 95% CI: 0.67–0.99, p = 0.044) (Table 3).
Figure 1

Haplotype block map for the six SNPs in the IL‐1R2 gene. Pairwise linkage disequilibrium (LD) measures (D and r2) were shown by the LD map. Square background color represents the D’/LOD and the values in cells are r2 values (multiplied by 100). Bright red represents very strong LD; white represents no LD; pink represents intermediate LD

Table 3

Association between haplotypes of IL‐1R2 and endometrial cancer risk

SNP‐IDHaplotypeFAFUOR (95%CI) p Adjust OR (95%CI)Adjust p
rs11674595|rs4851527|rs719250|rs3218896TGTC0.8350.8660.78 (0.59–1.03)0.0800.73 (0.54–0.97)0.031
rs11674595|rs4851527|rs719250|rs3218896TGTT0.8480.8371.09 (0.83–1.44)0.5301.04 (0.78–1.38)0.778
rs11674595|rs4851527|rs719250|rs3218896TACT0.2660.3090.81 (0.65–1.01)0.0630.79 (0.63–1.00)0.049
rs11674595|rs4851527|rs719250|rs3218896CGCT0.7780.7810.98 (0.78–1.24)0.8790.98 (0.77–1.25)0.860
rs11674595|rs4851527|rs719250|rs3218896TGCT0.8070.8290.86 (0.66–1.12)0.2570.93 (0.71–1.21)0.577
rs3218977|rs2072472AG0.7590.7840.87 (0.69–1.10)0.2440.86 (0.68–1.10)0.227
rs3218977|rs2072472GA0.750.7760.86 (0.68–1.10)0.2240.92 (0.71–1.17)0.487
rs3218977|rs2072472AA0.5090.560.81 (0.67–0.99)0.0440.84 (0.68–1.04)0.105

95% CI: 95% Confidence interval; FA: Frequency in case; FU: Frequency in control; OR: Odds ratio.

OR and 95% CI were calculated using a conditional logistic regression.

p value < 0.05 indicates statistical significance.

Haplotype block map for the six SNPs in the IL‐1R2 gene. Pairwise linkage disequilibrium (LD) measures (D and r2) were shown by the LD map. Square background color represents the D’/LOD and the values in cells are r2 values (multiplied by 100). Bright red represents very strong LD; white represents no LD; pink represents intermediate LD Association between haplotypes of IL‐1R2 and endometrial cancer risk 95% CI: 95% Confidence interval; FA: Frequency in case; FU: Frequency in control; OR: Odds ratio. OR and 95% CI were calculated using a conditional logistic regression. p value < 0.05 indicates statistical significance. Given that age is a major endometrial cancer risk factor, we further evaluated the association between polymorphisms of IL‐1R2 and endometrial cancer risk by age stratified analysis (Table 4). The CC genotype of rs2072472 was found to be associated with an increased risk of endometrial cancer compared with the TT wild‐type homozygous genotype in age >54 years old subgroup (OR = 2.28, 95% CI: 1.04–5.00, p = 0.040). When compared with the variant homozygote TT and heterozygote CT genotypes, the genotype CC was also found to be associated with an increased risk of endometrial cancer in the recessive model in the subgroup of age >54 years (OR = 2.33, 95% CI: 1.08–5.03, p = 0.032).
Table 4

Age stratification analysis of association between rs2072472 and endometrial cancer risk

ModelGenotypeAge ≤54 years oldAge >54 years old
CaseControlOR (95%CI) p CaseControlOR (95%CI) p
CodominantTT832381.00 911221.00 
CT431330.94 (0.61–1.46)0.78553551.30 (0.82–2.08)0.268
CC14182.28 (1.04–5.00)0.0408130.77 (0.30–1.96)0.586
DominantTT832381.00 911221.00 
CC + CT571511.10 (0.73–1.65)0.66061681.20 (0.77–1.86)0.422
RecessiveTT + CT1263711.00 1441771.00 
CC14182.33 (1.08–5.03)0.0328130.71 (0.28–1.77)0.458
Additive1.22 (0.88–1.69)0.2251.06 (0.75–1.51)0.729

95% CI: 95% Confidence interval; OR: Odds ratio.

p < 0.05 was considered statistically significant.

Age stratification analysis of association between rs2072472 and endometrial cancer risk 95% CI: 95% Confidence interval; OR: Odds ratio. p < 0.05 was considered statistically significant.

DISCUSSION

In this study, we investigate the influence of IL‐1R2 polymorphisms on endometrial cancer susceptibility in the Chinese Han population. Overall analysis results found that rs4851527 was associated with a decreased risk of endometrial cancer; rs3218896 was significantly associated with an increased risk of endometrial cancer. Haplotype analysis confirmed that the haplotypes TGTC and TACT were significantly associated with decreased endometrial cancer risk. Moreover, stratification analysis showed that rs2072472 was associated with an increased risk of endometrial cancer in age >54 subgroup. IL‐1R2 was first characterized by McMahon et al. in 1991 and natively found on neutrophils, B‐cells, monocytes, and macrophages (McMahan et al., 1991). IL‐1R2 serves as an endogenous inhibitor of IL‐1 signaling by competing with IL‐1R1 for IL‐1, and by subsequently forming a complex with IL‐1RAcP, thereby sequestering both the ligand and the accessory protein required for signal transduction (Schluter, Schelmbauer, Karram, & Mufazalov, 2018). Additionally, IL‐1R2 exists in both a membrane bound and soluble form (sIL‐1R2) that has biological properties similar to both a decoy receptor and a binding protein (Peters et al., 2013). Study found that IL‐1R2 regulates the cell metabolism and the response of immune inflammation induced by many cytokines (Dinarello, 1994). These suggest that IL‐1R2 is an important mediator involved in many cytokine induced immune and inflammatory responses. Inflammation aids in the proliferation and survival of malignant cells, promotes angiogenesis and metastasis, subverts adaptive immune responses, and thus initiate and promote neoplastic transformation (Mantovani, Allavena, Sica, & Balkwill, 2008). It has reported that a proinflammatory milieu can also directly increase estrogen production, and then promotes the development of endometrial cancer (Modugno et al., 2005). In this study, our results observed that rs4851527 and rs2072472 were associated with decreased risk of endometrial cancer, and rs3218896 was significantly associated with an increased risk of endometrial cancer. Previous study reported that the SNP rs4851527 was associated with an increased risk of IgA nephropathy in the over‐dominant model (GA vs. GG‐AA) (Xie et al., 2015). However, association studies indicated that rs4851527 was associated with decreased risk of tuberculosis (Ren et al., 2018) and ankylosing spondylitis (Xia et al., 2015). No significant association was found between the two SNPs (rs3218896 and rs2072472) and risk of IgA nephropathy (Xie et al., 2017), tuberculosis (Ren et al., 2018), and breast cancer (Zuo et al., 2018). Moreover, no significant association was also found between rs2072472 and the risk of ankylosing spondylitis (Xia et al., 2015) and endometriosis (Chun et al., 2012). Previous study reported that rs3218977 was found to be associated with a 0.71‐fold decrease risk of IgA nephropathy in the dominant model (GA‐GG vs. AA) (Xie et al., 2017). A case‐control association study found that the SNP rs3218977 was associated with an increased risk of aggressive periodontitis in the additive model in the Japanese (Kamei et al., 2014). However, rs3218977 was associated with an increased risk of tuberculosis in the dominant model (Ren et al., 2018). However, no significant association was also found between rs3218977 and risk of endometrial cancer in this study. These inconsistencies may be explained by the genetic polymorphism which may have different effects on diseases. Some potential limitations of the present study should be considered when interpreting the results. First, our result is the first to find that the IL‐1R2 polymorphisms were associated with the risk of endometrial cancer in the Chinese Han population. Therefore, additional studies are needed to confirm the association between IL‐1R2 polymorphisms and endometrial cancer risk with large samples. Second, the potential risk factors such as early menarche, unopposed estrogen, late menopause, and obesity were not analyzed in this study due to the lack of relevant clinical data. More clinical and experimental data were needed to be collected to help us understand better the role of IL‐1R2 polymorphisms in the development of endometrial cancer. Third, the biological functions of these SNPs were not analyzed. The expression level of the IL‐1R2 gene should also be measured in future studies to assess the effects of polymorphisms on IL‐1R2 gene.

CONCLUSIONS

In conclusion, the present study results indicated that rs4851527, rs3218896, and rs2072472 in the IL‐1R2 gene were associated with endometrial cancer susceptibility in the Chinese Han population. These findings suggested that IL‐1R2 polymorphisms may contribute to the development of endometrial cancer. However, further studies are required to confirm the results of the study with a large sample and investigate the detailed mechanisms of the variants that affect IL‐1R2 gene function.

CONFLICT OF INTEREST

The authors declare that they have no conflicts of interest.
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Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

9.  Fine-mapping of the HNF1B multicancer locus identifies candidate variants that mediate endometrial cancer risk.

Authors:  Jodie N Painter; Tracy A O'Mara; Jyotsna Batra; Timothy Cheng; Felicity A Lose; Joe Dennis; Kyriaki Michailidou; Jonathan P Tyrer; Shahana Ahmed; Kaltin Ferguson; Catherine S Healey; Susanne Kaufmann; Kristine M Hillman; Carina Walpole; Leire Moya; Pamela Pollock; Angela Jones; Kimberley Howarth; Lynn Martin; Maggie Gorman; Shirley Hodgson; Ma Magdalena Echeverry De Polanco; Monica Sans; Angel Carracedo; Sergi Castellvi-Bel; Augusto Rojas-Martinez; Erika Santos; Manuel R Teixeira; Luis Carvajal-Carmona; Xiao-Ou Shu; Jirong Long; Wei Zheng; Yong-Bing Xiang; Grant W Montgomery; Penelope M Webb; Rodney J Scott; Mark McEvoy; John Attia; Elizabeth Holliday; Nicholas G Martin; Dale R Nyholt; Anjali K Henders; Peter A Fasching; Alexander Hein; Matthias W Beckmann; Stefan P Renner; Thilo Dörk; Peter Hillemanns; Matthias Dürst; Ingo Runnebaum; Diether Lambrechts; Lieve Coenegrachts; Stefanie Schrauwen; Frederic Amant; Boris Winterhoff; Sean C Dowdy; Ellen L Goode; Attila Teoman; Helga B Salvesen; Jone Trovik; Tormund S Njolstad; Henrica M J Werner; Katie Ashton; Tony Proietto; Geoffrey Otton; Gerasimos Tzortzatos; Miriam Mints; Emma Tham; Per Hall; Kamila Czene; Jianjun Liu; Jingmei Li; John L Hopper; Melissa C Southey; Arif B Ekici; Matthias Ruebner; Nicola Johnson; Julian Peto; Barbara Burwinkel; Frederik Marme; Hermann Brenner; Aida K Dieffenbach; Alfons Meindl; Hiltrud Brauch; Annika Lindblom; Jeroen Depreeuw; Matthieu Moisse; Jenny Chang-Claude; Anja Rudolph; Fergus J Couch; Janet E Olson; Graham G Giles; Fiona Bruinsma; Julie M Cunningham; Brooke L Fridley; Anne-Lise Børresen-Dale; Vessela N Kristensen; Angela Cox; Anthony J Swerdlow; Nicholas Orr; Manjeet K Bolla; Qin Wang; Rachel Palmieri Weber; Zhihua Chen; Mitul Shah; Juliet D French; Paul D P Pharoah; Alison M Dunning; Ian Tomlinson; Douglas F Easton; Stacey L Edwards; Deborah J Thompson; Amanda B Spurdle
Journal:  Hum Mol Genet       Date:  2014-11-06       Impact factor: 6.150

10.  Association of two FOXP3 polymorphisms with breast cancer susceptibility in Chinese Han women.

Authors:  Tian Tian; Meng Wang; Yi Zheng; Tielin Yang; Wenge Zhu; Hongtao Li; Shuai Lin; Kang Liu; Peng Xu; Yujiao Deng; Linghui Zhou; Zhijun Dai
Journal:  Cancer Manag Res       Date:  2018-04-26       Impact factor: 3.989

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  1 in total

1.  Influence of IL-1R2 polymorphisms on endometrial cancer susceptibility in the Chinese Han population.

Authors:  Jiamin Wu; Wenjie Zhang; Junhong Cai; Sizhe Huang; Fanglin Niu; Ying Zhang; Shan Bao; Tianbo Jin
Journal:  Mol Genet Genomic Med       Date:  2019-03-20       Impact factor: 2.183

  1 in total

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