Original Article Association of interleukin-10 polymorphisms and haplotypes with the risk of breast cancer in northern China

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Int J Clin Exp Pathol 2017;10(6):6989-6996 www.ijcep.com /ISSN:1936-2625/IJCEP0054774 Original Article Association of interleukin-10 polymorphisms and haplotypes with the risk of breast cancer in northern China Kun Tian 1,2, Ruiming Zhang 1, Xia Wang 1 1 Department of Thyroid and Breast Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China; 2 General Surgery, Linfen s People Hospital, Linfen, China Received April 6, 2017; Accepted April 24, 2017; Epub June 1, 2017; Published June 15, 2017 Abstract: Many environmental and genetic factors are involved in the development of breast cancer. IL-10 is an immunoregulatory cytokine produced by Th2 cells, regulatory T cells, and monocytes/macrophages. We carried out a case-control study to assess the relationship of three SNPs (rs1800872, rs1800871 and rs1800896) in the promoter regions of IL-10 with the risk of breast cancer. A hospital based case-control study was implemented, including 312 patients with breast cancer and 312 control subjects. The genotyping of IL-10 rs1800872, rs1800871 and rs1800896 was implemented in a 384-well plate format on the sequenom MassARRAY platform. We observed that the homozygous AA genotype of rs1800896 was significantly associated with risk of breast cancer, when compared to the homozygous GG genotype, with an adjusted OR (and 95% CI) of 1.98 (1.12-3.49). The haplotype analysis showed linkage disequilibrium between rs1800872 and rs1800896 (D =0.62, r 2 =0.10). The C-T-G (OR=0.76, 95% CI=0.59-0.98) haplotype revealed a reduced risk of breast cancer, while the A-T-A (OR=1.78, 95% CI=1.16-2.74) indicated an elevated risk of breast cancer in the Chinese population. In conclusion, the present study indicates that IL-10 rs1800896 polymorphism and A-T-A and C-T-G haplotypes could affect the risk of breast cancer. Keywords: IL-10, rs1800872, rs1800871, rs1800896, polymorphism, haplotype, breast cancer Introduction In female, breast is particularly prominent as the hallmark of pubertal development. Breast cancer begins in any part of breast, caused by abnormal cells growth and division. It is one of the oldest known forms of malignancies. Unfortunately globally, it remains a major public health issue in China as well as world. Breast cancer is the leading cause of death of women in worldwide due to spreading to other organ [1, 2]. Many environmental and genetic factors are involved in the development of breast cancer, including history of benign breast diseases, family history of cancer, lack of exercises, obesity, hormone uses and reproductive history [3-6]. However, the incidence of breast cancer varies greatly across different populations even when they are exposure to the same environmental risk factors, suggesting that hereditary factors could affect the development of breast cancer. Development of human breast cancers is a multistep process, arising from genetic alterations that drive the transformation of normal mammary epithelial cells into highly malignant derivatives. IL-10, encoded by a gene located on chromosome 1 (1q31-1q32), is an immunoregulatory cytokine produced by Th2 cells, regulatory T cells, and monocytes/macrophages. IL-10 can inhibit the synthesis of other cytokines, such as IL-6, IL-1β and IL-1α as well as and tumor necrosis factor-α in activated macrophages [7]. Previous experimental studies have indicated that IL-10 are over expressed in breast cancer [8, 9]. Studies have revealed that high expression of IL-10 in breast tumor cells and stromal cell could be used as a predictor for the prognosis of breast cancer [10]. The single nucleotide polymorphisms influence the transcriptional activity, and induce the alterations in gene expression and consequently affect the IL-10 production [11, 12]. Currently, previous studies

Table 1. Demographic and lifestyle characteristics between patients with breast cancer and controls Variables Patients N=312 % Controls N=312 % χ 2 -test or t-test P value Age, year 52.77±11.23 52.28±10.34 0.58 0.26 Physical activity Often 129 41.35 162 51.92 Seldom 112 35.90 105 33.65 Never 71 22.76 45 14.42 9.80 0.007 Menopausal status Premenopausal 210 67.31 196 62.82 Postmenopausal 102 32.69 116 37.18 1.38 0.24 Smoking No 300 96.15 281 90.06 Yes 12 3.85 31 9.94 9.02 0.003 Drinking No 273 87.50 240 76.92 Yes 39 12.50 72 23.08 11.93 0.001 Body mass index (BMI), kg/m 2 22.24±3.14 22.77±3.12-2.10 0.58 Age at first live birth, year 25.26±3.19 25.66±3.32-1.53 0.31 Breastfeeding No 66 21.15 61 19.55 Yes 246 78.85 251 80.45 0.25 0.62 Number of births 0 18 5.77 19 6.09 1 138 44.23 146 46.79 2 156 50.00 147 47.12 0.52 0.77 Benign breast disease No 261 83.65 189 60.58 Yes 51 16.35 123 39.42 41.31 <0.001 have indicated that IL-10 polymorphisms contribute to the pathogenesis of breast cancer in many populations, but the results are inconsistent [13-15]. However, no study reports the role of IL-10 polymorphisms and haplotypes in the pathogenesis of breast cancer in Northern Chinese population. Therefore, we carried out a case-control study to assess the relationship of three SNPs (rs1800872, rs1800871 and rs1800896) in the promoter regions of IL-10 with the risk of breast cancer, and interaction between IL-10 and environmental factors. Subjects and methods Subjects A hospital based case-control study was implemented, including 312 patients with breast cancer and 312 control subjects. Patients with breast cancer were recruited from the thyroid and breast surgery department of the Affiliated Hospital of Inner Mongolia Medical University between May 2014 and May 2016. The diagnosis of breast cancer wasdetermined by histopathology examination. The exclusion criteria for breast cancer patients were those with a history of recurrent and metastatic breast cancer, and serious liver or renal diseases. Simultaneously, all the control subjects were enrolled from the outpatient clinics and physical examination center of the Affiliated Hospital of Inner Mongolia Medical University. Each control was recruited in this study by matching the age (±5 years), when enrolling one breast cancer patient. All controls were confirmed without a history of tumor, endocrine disease and breast related diseases. All of the study subjects voluntary participated in our study and signed informed consent forms before enrollment. The study was approved by the Research 6990 Int J Clin Exp Pathol 2017;10(6):6989-6996

Table 2. Association between IL-10 rs1800872, rs1800871 and rs1800896 polymorphisms and risk of breast cancer IL-10 Patients % Controls % χ 2 P Patients Controls χ 2 for HWE P for HWE χ 2 for HWE P for HWE Crude OR (95% CI) P value Adjusted OR (95% CI) 1 P value rs1800872 AA 131 41.99 141 45.19 1.0 (Ref.) - 1.0 (Ref.) - AC 130 41.67 127 40.71 1.10 (0.77-1.57) 0.58 1.08 (0.75-1.56) 0.67 CC 51 16.35 44 14.10 0.92 0.63 3.64 0.06 3.05 0.08 1.25 (0.76-2.05) 0.35 1.20 (0.73-1.99) 0.47 rs1800871 TT 124 39.74 144 46.15 1.0 (Ref.) - 1.0 (Ref.) - TC 141 45.19 128 41.03 1.28 (0.90-1.82) 0.15 1.24 (0.86-1.78) 0.26 CC 47 15.06 40 12.82 2.68 0.26 0.44 0.51 1.85 0.17 1.36 (0.82-2.29) 0.21 1.24 (0.73-2.10) 0.43 rs1800896 GG 129 41.35 131 41.99 1.0 (Ref.) - 1.0 (Ref.) - AG 132 42.31 154 49.36 0.87 (0.61-1.24) 0.42 0.83 (0.58-1.19) 0.31 AA 51 16.35 27 8.65 9.09 0.01 2.96 0.09 3.82 0.06 1.92 (1.10-3.38) 0.01 1.98 (1.12-3.49) 0.02 6991 Int J Clin Exp Pathol 2017;10(6):6989-6996

Table 3. Interaction between rs1800896 polymorphism and environmental factors in the risk of breast cancer Variables rs1800896 χ 2 value P value GG % AG % AA % Age <50 101 38.85 108 37.76 34 43.59 50 159 61.15 178 62.24 44 56.41 0.88 0.65 Physical activity Often 130 50.00 125 43.71 36 46.15 Seldom 88 33.85 103 36.01 26 33.33 Never 42 16.15 58 20.28 16 20.51 2.82 0.59 Smoking No 245 94.23 264 92.31 72 92.31 Yes 15 5.77 22 7.69 6 7.69 0.87 0.65 Drinking No 217 83.46 234 81.82 62 79.49 Yes 43 16.54 52 18.18 16 20.51 0.70 0.70 Benign breast disease No 185 71.15 210 73.43 55 70.51 Yes 75 28.85 76 26.57 23 29.49 0.46 0.79 Ethics Committee of the Affiliated Hospital of Inner Mongolia Medical University. The implementation was carried out according to the Helsinki Declaration of 1964. DNA extraction and genotyping Each participant was asked to provide 3-5 ml peripheral venous blood sample after enrollment. The blood samples were stored in tube with 0.5 M ethylenediaminetetraacetic acid, and were kept in a refrigerator at 4 C until use. Genomic DNA was extracted from the whole blood using a TIANamp Blood DNA Kit (Tiangen, Beijing, China) according to the instrument, and the DNA samples were kept in -20 C until utilization. Primers of IL-10 rs1800872, rs1800871 and rs1800896 for polymerase chain reaction (PCR) amplification and single base extension assays were designed by Sequenom Assay Design 3.1 software. The genotyping of IL-10 rs1800872, rs1800871 and rs1800896 was implemented in a 384-well plate format on the sequenom MassARRAY platform (Sequenom, San Diego, USA). The PCR cocktail preparation for genotyping IL-10 rs1800872, rs1800871 and rs1800896 was prepared by Sequenom PCR Reagent Set. The PCR reaction was performed in 5 μl mixture with 2.8 μl of HPLC grade water, 0.5 μl 10 PCR buffer with 20 mm MgCl 2, 0.4 μl 25 mm MgCl 2, 0.1 μl 25 mm dntp Mix, 1.0 μl 0.5 um Primer Mix, 0.2 μl 5 U/μl PCR enzyme and already loaded 10 ng/ul DNA. Then the SAP and iplex reactions were performed. The samples were then desalted, and the reaction was dispensed to a SpectroCHIP and analyzed with Matrix- Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS). Statistical analysis Descriptive statistics were used to summarize characteristics of the study participants by expressing the results as mean ± standard deviation (SD) or frequencies and percentage (%). Whether the genotype frequencies of IL-10 rs1800872, rs1800871 and rs1800896 were departure from Hardy-Weinberg equilibrium (HWE) was assessed using the maximum likelihood estimate and the least Pearson χ 2 test. The association of IL-10 rs1800872, rs1800-871 and rs1800896 with breast cancer risk was analyzed by binary multivariate logistic regression analysis, and odds ratios (ORs) and 95% confidence intervals (CIs) were used to display their association. The linkage disequilibrium and haplotype analysis was performed using SHEsis software (http://analysis.bio-x.cn/ myanalysis.php). All data management and sta- 6992 Int J Clin Exp Pathol 2017;10(6):6989-6996

Results The mean ages of patients with breast cancer and controls were 52.77±11.23 and 52.28±10.34, respectively (Table 1). In comparison to controls, patients with breast cancer had a habit of smoking (χ 2 =9.02, P=0.003) and drinking (χ 2 =11.93, P=0.001) and a history of benign breast disease (χ 2 =41.31, P<0.001) were more likely to have more physical activity (χ 2 =9.80, P= 0.007). Figure 1. The D for the linkage disequilibrium of IL-4 rs2243250-rs2227284- rs2070874. The genotype frequencies of IL-10 rs1800872, rs1800871 and rs1800896 were displayed in Table 2. By Chisquare test, we observed that the AA, AG and GG genotype distributions of rs1800896 were significantly differences between patients with breast cancer and controls (χ 2 =9.09, P=0.01), but no significant difference was observed in the genotype frequencies of IL-10 rs1800872 and rs1800871. The maximum likelihood estimate and the least Pearson χ 2 test indicated that the genotype frequencies of the three SNPs conformed to HWE in both patients and controls. By binary multivariate logistic regression analysis, we observed that the homozygous AA genotype of rs1800896 was significantly associated with risk of breast cancer, when compared to the homozygous GG genotype, with an adjusted OR (and 95% CI) of 1.98 (1.12-3.49) (P=0.02). Figure 2. The r 2 for the linkage disequilibrium of IL-4 rs2243250-rs2227284- rs2070874. tistical analyses were performed with SPSS 21.0 (SPSS, Inc., Chicago, IL, USA), and P<0.05 was considered to indicate a statistically significant difference. No significant interaction was found between rs1800896 polymorphism and environ- mental factors in the risk of breast cancer (Table 3). The haplotype analysis showed a linkage disequilibrium between rs1800872 and rs1800896 (D =0.62, r 2 =0.10; Figures 1, 2; 6993 Int J Clin Exp Pathol 2017;10(6):6989-6996

Table 4. Linkage disequilibrium test for IL-10 rs1800872, rs1800871 and rs1800896 D r 2 rs1800871 rs1800896 rs1800871 rs1800896 s1800872 0.15 0.62 0.02 0.10 rs1800871-0.19 0.01 Table 5. Haplotype analysis of the association between IL-10 rs1800872-rs1800871-rs1800896 and breast cancer risk Haplotype Patients % Controls % OR (95% CI) P value A-C-A 103 33.01 79 25.32 1.37 (0.99~1.88) 0.06 A-C-G 47 15.06 37 11.86 1.28 (0.82~2.00) 0.27 C-T-G 156 50.00 190 60.90 0.76 (0.59~0.98) 0.03 A-T-G 87 27.88 104 33.33 0.81 (0.59~1.10) 0.18 C-C-A 45 14.42 60 19.23 0.72 (0.48~1.08) 0.12 C-C-G 41 13.14 32 10.26 1.28 (0.80~2.07) 0.30 C-T-A 86 27.56 87 27.88 0.99 (0.72~1.36) 0.94 A-T-A 60 19.23 35 11.22 1.78 (1.16~2.74) 0.01 Global χ 2 =18.95, P=0.008. Table 4). Eight haplotypes (frequency >0.03 in either the patients with breast cancer or controls) were selected, and the C-T-G (OR=0.76, 95% CI=0.59-0.98) haplotype revealed a reduced risk of breast cancer, while the A-T-A (OR=1.78, 95% CI=1.16-2.74) indicated an elevated risk of breast cancer in the Chinese population (Table 5). Discussion The replacement, deletion, or insertion of a single nucleotide within the genome, otherwise known as single nucleotide polymorphism, is known to be essential in regulating and modifying protein expression, and can contribute to individual disease susceptibility. Our study has been suggested that the homozygous GG genotype of rs1800896 and A-T-A and C-T-G haplotypes affect the risk of breast cancer, and linkage disequilibrium was observed between rs1800872 and rs1800896. IL-10 has been reported to be an important factor in the pathophysiology of autoimmune and inflammation-related diseases, as the product of this gene can modify both immune function and inflammatory processes. Previous studies have indicated that the expression of IL-10 is different in individuals, and 75% protein expression is determined by genetic polymorphisms [16]. Therefore, The genetic polymorphisms could direct influence the IL-10 expression, and be associated with several kinds of diseases, such as autoimmune diseases, transplant-related diseases, infectious diseases and malignant tumors [17, 18]. However, the role of IL-10 in the pathogenesis of tumor is controversial. IL-10 could contribute to the immuneescape of tumor cells, and promote the development of tumors [19]. On the contrary, The anti-angiogenesis effect of IL-10 could inhibit the growth and metastasis of malignant tumors [20]. In an experimental study, we observed that IL-10 deficient mice are more likely to suffer from colitis and colorectal cancer [21]. Some studies indicated that the G allele of IL-10 rs1800896 could reduce the susceptibility of some solid tumors, such as cervical cancer, lung cancer and prostate cancer [22, 23], the mechanism of IL-10 could be associated with down-regulation of IL-1β, TNF-α and vascular endothelial growth factor. The high expression of IL-10 could increase the development of malignant melanoma, which might be correlated with the anti-tumor angiogenesis of IL-10 [24]. For the association between the IL-10 genetic polymorphisms and risk of breast cancer, the results are inconsistent [13, 15, 23, 25]. Atoum MF performed a study with 202 breast cancer patients and 210 age-matched healthy controls among Jordanian, and it reported that the ACC haplotype was associated with breast cancer risk [26]. However, AlSuhaibani ES et al. performed a study with 80 subjects with breast cancer and 80 controls, and they reported that the IL-10-1082G/A polymorphism did not influence the risk of breast cancer in Egyptian [25]. Wang et al. performed a study in a Chinese population with 474 breast cancer patients and 501 female controls without cancer, and they revealed that the TT genotype of IL-10 rs1800871 was associated with risk of breast cancer [15]. Langsenlehner U et al. per- 6994 Int J Clin Exp Pathol 2017;10(6):6989-6996

formed a study among Austrian, and they indicated that IL-10-592C>A promoter polymorphism may be correlated with a reduced risk of breast cancer [13]. In our study, we found the AA genotype of IL-10 rs1800896 was correlated with an increased risk of breast cancer. The AA genotype could decrease the IL-10 expression, and weaken the function of anti-tumor angiogenesis and promote the development of tumor. Our study found the A-T-A haplotype was associated with a higher risk of breast cancer, and the main reason was that the A-T-A was correlated with weak transcriptional activity and low expression of IL-10 [16, 27]. However, Atoum MF reported that the ACC haplotype was associated with breast cancer risk among Jordanian females [26]. Further studies are greatly needed to confirm our findings. Two limitations should be considered in our study. First, all the participants were enrolled within one hospital, which may induce selection bias into this study. Second, this was a crosssectional study, meaning it had low power to detect causal effects. Therefore, prospective studies are needed to confirm our findings. In summary, the present study indicates that the IL-10 rs1800896 polymorphism and the A-T-A and C-T-G haplotypes could affect the development of breast cancer. Further studies employing more number of participants are greatly needed to confirm our findings. Acknowledgements We thanks for the great help from staffs in the Affiliated Hospital of Inner Mongolia Medical University. Disclosure of conflict of interest None. Address correspondence to: Xia Wang, Department of Thyroid and Breast Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China. Tel: +86-13847143755; E-mail: 1119152079@qq.com References [1] Wilson C. Reproductive hormones in breast cancer bone metastasis: the role of inhibins. J Bone Oncol 2016; 5: 139-142. [2] Gilkes DM. Implications of hypoxia in breast cancer metastasis to bone. Int J Mol Sci 2016; 17. [3] Abu Rabi Z, Zoranovic T, Milovanovic J, Todorovic-Rakovic N and Nikolic-Vukosavljevic D. Breast cancer in postmenopausal patients: impact of age. J BUON 2015; 20: 723-729. [4] Zakhari S and Hoek JB. Alcohol and breast cancer: reconciling epidemiological and molecular data. Adv Exp Med Biol 2015; 815: 7-39. [5] Davoodi SH, Malek-Shahabi T, Malekshahi- Moghadam A, Shahbazi R and Esmaeili S. Obesity as an important risk factor for certain types of cancer. Iran J Cancer Prev 2013; 6: 186-194. [6] Shaukat U, Ismail M and Mehmood N. Epidemiology, major risk factors and genetic predisposition for breast cancer in the Pakistani population. Asian Pac J Cancer Prev 2013; 14: 5625-5629. [7] D Andrea A, Aste-Amezaga M, Valiante NM, Ma X, Kubin M and Trinchieri G. Interleukin 10 (IL- 10) inhibits human lymphocyte interferon gamma-production by suppressing natural killer cell stimulatory factor/il-12 synthesis in accessory cells. J Exp Med 1993; 178: 1041-1048. [8] Venetsanakos E, Beckman I, Bradley J and Skinner JM. High incidence of interleukin 10 mrna but not interleukin 2 mrna detected in human breast tumours. Br J Cancer 1997; 75: 1826-1830. [9] Li Y, Gao P, Yang J, Yu H, Zhu Y and Si W. Relationship between IL-10 expression and prognosis in patients with primary breast cancer. Tumour Biol 2014; 35: 11533-11540. [10] Li Y, Yu H, Jiao S and Yang J. [Prognostic value of IL-10 expression in tumor tissues of breast cancer patients]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2014; 30: 517-520. [11] Ramkumar HL, Shen DF, Tuo J, Braziel RM, Coupland SE, Smith JR and Chan CC. IL-10-1082 SNP and IL-10 in primary CNS and vitreoretinal lymphomas. Graefes Arch Clin Exp Ophthalmol 2012; 250: 1541-1548. [12] Chenjiao Y, Zili F, Haibin C, Ying L, Sheng X, Lihua H and Wei D. IL-10 promoter polymorphisms affect IL-10 production and associate with susceptibility to acute myeloid leukemia. Pharmazie 2013; 68: 201-206. [13] Langsenlehner U, Krippl P, Renner W, Yazdani- Biuki B, Eder T, Köppel H, Wascher TC, Paulweber B and Samonigg H. Interleukin-10 promoter polymorphism is associated with decreased breast cancer risk. Breast Cancer Res Treat 2005; 90: 113-115. [14] Vinod C, Jyothy A, Vijay Kumar M, Raman RR, Nallari P and Venkateshwari A. A common SNP 6995 Int J Clin Exp Pathol 2017;10(6):6989-6996

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