Original Article Association between XRCC1 and ERCC2 gene. polymorphisms and development of osteosarcoma.

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Int J Clin Exp Pathol 2016;9(1):223-229 www.ijcep.com /ISSN:1936-2625/IJCEP0017837 Original Article Association between XRCC1 and ERCC2 gene polymorphisms and development of osteosarcoma Zimin Wang 1, Na Wu 2 1 Key Laboratory of People s Liberation Army, Institute of Orthopedics, PLA General Hospital, Haidian, Beijing 100853, China; 2 Medical Insurance Office, PLA General Hospital, Haidian, Beijing 100853, China Received October 14, 2015; Accepted November 28, 2015; Epub January 1, 2016; Published January 15, 2016 Abstract: We conducted a case-control study to investigate the association of three SNPs in XRCC1 gene (Arg194Trp, rs1799782; Arg280His rs25489; Arg399Gln rs25487) and one SNP in ERCC2 gene (Lys751Gln rs13181) with the susceptibility to osteosarcoma. Between May 2012 and May 2014, patients (n = 194) who were newly diagnosed with histopathologically confirmed osteosarcoma and 275 control subjects were selected from the First People s Hospital of Shangqiu. The XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln polymorphisms were genotyped by polymerase chain reaction (PCR) coupled with restriction fragment length polymorphism (RFLP). We found that individuals with the Gln/Gln genotype and rg/gln+ Gln/Gln genotype of XRCC1 Arg399Gln had an increased risk of osteosarcoma when compared with those carrying the wide-type genotype, and the adjusted OR (95% CI) was 2.55 (1.29-5.09) (P = 0.003) and 1.50 (1.01-2.25) (P = 0.04), compared to the Arg/Arg genotype. However, the XRCC1 Arg194Trp and Arg280His and ERCC2 Lys751Gln gene polymorphisms did not influence the risk of osteosarcoma. In conclusion, our study suggests that the XRCC1 Arg399Gln is significantly associated with the development of osteosarcoma. Keywords: XRCC1, ERCC2, polymorphism, osteosarcoma Introduction Osteosarcoma is the most leading bone malignancy in adolescents. However, there exists a second incidence peak among individuals which aged above 60 years. It is well known that the osteosarcoma is a caused by a complex, multistep, and multifactorial process, such as ionizing radiation, family history and virus infection [1]. However, not all individuals who expose to the same risk factors of osteosarcoma would develop this cancer, which suggested that some hereditary factors play a key role in the susceptibility to this cancer. The concept of genetic factors being involved in the development of osteosarcoma has led to many studies on genetic determinants for this cancer in the recent decade [2-5]. It is well known that the DNA strand breaks and base damage that can result in severe mutations leading to cancer. The base excision repair (BER) and the nucleotide excision repair (NER) pathways are two of the most important DNA repair process involved in maintaining genome integrity. Small base lesions and DNA single strand breaks resulting from oxidation and alkylation damage could be repaired through the BER pathway [6-9]. As one of the most important proteins in BER, XRCC1 is closely related to BER pathway coordination through serving as a molecular scaffold for most other members of the BER short-patch pathway [7, 8]. In addition to BER, bulky adduct lesions induced by smoking chemical carcinogens can be repaired through the nucleotide excision repair (NER) pathway [9]. Xeroderma pigmentosum groups B and D (ERCC2/XPD) proteins are involved in the NER pathway by functioning as ATP-dependent DNA helicases responsible for opening the DNA strand around the lesion site to remove certain DNA crosslinks, UV photolesions, and bulky chemical adducts [9]. Currently, few studies reported the association between XRCC1 and ERCC2 gene polymorphisms and development of osteosarcoma. Therefore, we conducted a case-control study to investigate the association of three

Demographic and related lifestyle factors of patients with osteosarcoma and control subjects were collected from the medical record or a self-designed questionnaire. The demographic and related lifestyle factors included age, sex, tobacco smoking, alcohol drinking habits, family history of cancer, Enneking stage, tumor location, histological type and tumor metastasis. Written informed consent was obtained from each included subject prior to the study. The study was previously approved by the Institutional Research Ethics Committee of the First People s Hospital of Shangqiu. DNA extraction and genotyping Figure 1. Chondroblastic osteosarcoma. SNPs in XRCC1 gene (Arg194Trp, rs1799782; Arg280His rs25489; Arg399Gln rs25487) and one SNP in ERCC2 gene (Lys751Gln rs13181) with the susceptibility to osteosarcoma. Material and methods Patients A hospital-based case-control design was taken in this study. Between May 2012 and May 2014, patients (n = 194) who were newly diagnosed with histopathologically confirmed osteosarcoma (Figure 1) were selected from Key Laboratory of People s Liberation Army, Institute of Orthopedics, PLA General Hospital. The exclusion criteria were patients who had primary tumors other than osteosarcoma, tumors of an unknown origin, any histopathological diagnosis other than osteosarcoma or inadequate organ function. Finally, 172 patients were included into our study, and the participation rate was 88.66%. A total of 275 subjects were randomly selected from individuals who received health check-up in the examination center of the First People s Hospital of Shangqiu during the same period. Control subjects who had a history of cancer were excluded from our study. Each patient and control subject was asked to provide 5 ml venous blood for genomic DNA extraction. The blood samples were kept at -20 C until use, with ethylenediaminetetraacetic acid (EDTA) 0.5 mg/ml used as an anticoagulant. DNA was extracted from peripheral blood samples using the TIANamp Blood DNA Kit (Tiangen, Beijing, China) according to instructions. The XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln polymorphisms were genotyped by polymerase chain reaction (PCR) coupled with restriction fragment length polymorphism (RFLP). The PCR fragments of the investigated polymorphisms were subsequently digested with their specific restriction enzyme (Table 1). The PCR program was set as follows: an initial denaturation at 95 C for 5 min, 30 cycles of denaturation at 94 C for 60 s, annealing at 60 C for 60 s, and extension at 72 C for 60 s, and a final extension at 72 C for 10 min. The PCR products were digested with the MspI restriction endonuclease, and analyzed by electrophoresis in a 2% agarose gel stained with ethidium bromide (visualized under an UV light). Statistical analysis Differences in the distributions of demographic and related lifestyle as well as clinical characteristics and genotypes of IL-10 polymorphisms between patients and controls were calculated by the χ 2 -test. Univariate logistic regression analysis was taken to analyze the association between demographic and related lifestyle characteristics of subjects and risk of osteosarcoma, and the results were expressed by Odd s ratios (ORs) and their 95% confidence intervals (CIs). The Hardy-Weinberg equilibrium (HWE) was calculated using the goodness-of-fit χ 2 -test. Multiple logistic regression models were established to determine the association between XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln polymorphisms and risk of osteosarcoma, and the ORs and their 95% CIs were calculated for this association. All statistical analyses were performed using the SPSS statistical software package, version 224 Int J Clin Exp Pathol 2016;9(1):223-229

Table 1. The primers, length of digested fragment and restriction enzymes of XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln Genotype Primers (5-3 ) Restriction enzymes Length of digested fragment XRCC1 Arg194Trp GCCCGCTCTGGATTATACG (Forward) PvuII 485 bp CTATCATCTCCTGGCCCCC (Reverse) XRCC1 Arg280His CCAGTGGTGCTAACCTAATC (Forward) RsaI 201 bp CACTCAGCACCACTACCACA (Reverse) XRCC1 Arg399Gln TTGTGCTTTCTCTGTGTCCA (Forward) MspI 615 bp TCCTCCAGCCTTTTCTGATA (Reverse) ERCC2 Lys751Gln CCCCCTCTCCCTTTCCTCTG (Forward) MboII 184 bp AACCAGGGCCAGGCAAGAC (Reverse) Table 2. Characteristics of patients with osteosarcoma and control subjects Characteristics Patients N = 172 % Controls N = 275 % χ 2 test OR (95% CI) P value Gender Female 63 36.63 120 43.64 1.0 (Reference) - Male 109 63.37 155 56.36 2.15 1.34 (0.89-2.02) 0.14 Age, years < 20 108 62.79 191 69.45 1.0 (Reference) - 20 64 37.21 84 30.55 2.12 1.35 (0.88-2.05) 0.15 Smoking habit No 147 85.47 241 87.64 1.0 (Reference) - Yes 25 14.53 34 12.36 0.44 1.21 (0.66-2.17) 0.51 Drinking habit No 140 81.40 235 85.45 1.0 (Reference) - Yes 32 18.60 40 14.55 1.29 1.34 (0.78-2.30) 0.26 Family history of cancer in the first relatives No 142 82.56 238 86.55 1.0 (Reference) - Yes 30 17.44 37 13.45 1.32 1.36 (0.77-2.37) 0.26 Enneking stage I-II 71 41.28 III 101 58.72 Histological subtype Osteoblastic 99 57.56 Chondroblastic 31 18.02 Fibroblastic 29 16.86 Other 13 7.56 Tumor location Extremities 115 66.86 Other 57 33.14 16.0 (SPSS Inc., Chicago, IL, USA). All tests were two-sided, with a significant level P-value < 0.05. Results The demographic, lifestyle and clinical characteristics of patients with osteosarcoma and control subjects are presented in Table 2. The mean age of patients with osteosarcoma and control subjects were 18.70±5.82 and 17.27±6.01 years, respectively. There were 63 (36.63%) females and 109 (63.37%) males in patients with osteosarcoma, and there were 120 (43.64%) females and 155 (56.36%) males in controls. As expected, the patients 225 Int J Clin Exp Pathol 2016;9(1):223-229

Table 3. Genotype distributions of XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys- 751Gln between patients and controls Gene Patients N = 172 % Controls N = 275 % Chi-square test P value P value for HWE Minor Allele Frequency In controls In database In controls XRCC1 Arg194Trp Arg/Arg 124 72.09 208 75.64 Arg/Trp 39 22.67 59 21.45 Trp/Trp 9 5.23 8 2.91 1.75 0.42 0.14 0.1238 0.1364 XRCC1 Arg280His Arg/Arg 148 86.05 246 89.45 Arg/His 20 11.63 29 10.55 His/His 4 2.33 3 1.09 1.27 0.53 0.06 0.0671 0.06364 XRCC1 Arg399Gln Arg/Arg 72 41.86 143 52.00 Arg/Gln 73 42.44 111 40.36 Gln/Gln 27 15.70 21 7.64 8.78 0.01 0.93 0.2604 0.2782 ERCC2 Lys751Gln Lys/Lys 90 52.33 155 56.36 Lys/Gln 66 38.37 103 37.45 Gln/Gln 16 9.30 18 6.40 1.40 0.50 0.87 0.2366 0.2513 with osteosarcoma did not differ significantly from the controls in terms of gender (χ 2 = 2.15, P = 0.14), age (χ 2 = 2.12, P = 0.15), tobacco smoking (χ 2 = 0.44, P = 0.51), alcohol drinking (χ 2 = 1.29, P = 0.26) and family history of cancer in the first relatives (χ 2 = 1.32, P = 0.26). Seventy one (41.28%) patients were at Enneking stages I-II, and 101 (58.72%) were at stage III. Furthermore, 99 (57.56%) patients were osteoblastic histological type, 31 (18.02%) were chondroblastic type, and 29 (16.86%) were fibroblastic type. One hundred and fifteen (66.86%) patients showed tumor lociation at extemeities. The genotype distributions of XRCC1 Arg194- Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln were shown in Table 3. By chi-square test, there was significant difference in the genotype distributions of XRCC1 Arg399Gln between patients with osteosarcoma and control subjects (χ 2 = 8.78, P = 0.01). XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys- 751Gln genotype distributions were found to be consistent with Hardy-Weinberg equilibrium in the control group, and the P values were 0.14, 0.06, 0.93 and 0.87, respectively. In the control group, the minor allele frequencies of the XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln were similar to those given in the National Centre for Biotechnology Information database (http://www.ncbi.nlm. nih.gov/snp). Using unconditional logistic regression analysis, we found that individuals with the Gln/Gln genotype of XRCC1 Arg399Gln had an increased risk of osteosarcoma when compared with those carrying the wide-type genotype, and the adjusted OR (95% CI) was 2.55 (1.29-5.09) (P = 0.003) (Table 4). Moreover, the Arg/ Gln+ Gln/Gln genotype of XRCC1 Arg399Gln was correlated with a lower risk of osteosarcoma (OR = 1.50, 95% CI = 1.01-2.25, P = 0.04), compared to the Arg/Arg genotype. However, the XRCC1 Arg194Trp and Arg280His and ERCC2 Lys751Gln gene polymorphisms did not influence the risk of osteosarcoma. Discussion Osteosarcoma was associated with several environmental factors such as exposure radiation [1]. Carcinogenic compounds play an important role in causing direct or indirect DNA alteration. DNA repair is responsible for maintaining genomic stability in response to the assault of environmental carcinogens that causes DNA damage [10]. If left unrepaired, such DNA damage could cause mutation fixation and initiation of carcinogenesis. Up to now, 226 Int J Clin Exp Pathol 2016;9(1):223-229

Table 4. Association between XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln and risk of osteosarcoma Gene Patients % Controls % OR (95% CI) P value XRCC1 Arg194Trp Arg/Arg 124 72.09 208 75.64 1.0 (Reference) - Arg/Trp 39 22.67 59 21.45 1.11 (0.68-1.80) 0.66 Trp/Trp 9 5.23 8 2.91 1.89 (0.63-5.77) 0.20 Arg/Trp+ Trp/Trp 48 27.9 67 24.36 1.20 (0.76-1.89) 0.40 XRCC1 Arg280His Arg/Arg 148 86.05 246 89.45 1.0 (Reference) - Arg/His 20 11.63 29 10.55 1.15 (0.59-2.18) 0.66 His/His 4 2.33 3 1.09 2.21 (0.37-15.24) 0.29 Arg/His+ His/His 24 13.96 32 11.64 1.25 (0.67-2.28) 0.45 XRCC1 Arg399Gln Arg/Arg 72 41.86 143 52 1.0 (Reference) - Arg/Gln 73 42.44 111 40.36 1.31 (0.85-2.01) 0.20 Gln/Gln 27 15.7 21 7.64 2.55 (1.29-5.09) 0.003 Arg/Gln+ Gln/Gln 100 58.14 132 48.00 1.50 (1.01-2.25) 0.04 ERCC2 Lys751Gln Lys/Lys 90 52.33 155 56.36 1.0 (Reference) - Lys/Gln 66 38.37 103 37.45 1.10 (0.72-1.68) 0.63 Gln/Gln 16 9.3 18 6.4 1.53 (0.69-3.35) 0.25 Lys/Gln+ Gln/Gln 82 47.67 121 43.85 1.17 (0.78-1.74) 0.43 1 Adjusted for sex and age. there are at least five known major DNA repair pathways were found, including above 150 human DNA repair genes, among which the base excision repair (BER) and the nucleotide excision repair (NER) are the most versatile and particularly significant in association with cancer risk [11]. Polymorphisms, which have an effect on the regulation of gene expression, can contribute to the differences between individuals in the susceptibility to a disease and its severity [12]. The regulation of DNA repair is a vital factor in the multistep process of carcinogenesis, and the XRCC1 and ERCC2 gene is an important part of the DNA repair machinery. In our study, we conducted a study to investigate the XRCC1 Arg194Trp, Arg280His and Arg399Gln and ERCC2 Lys751Gln polymorphisms and development of osteosarcoma. We found that the XRCC1 Arg399Gln significantly increased the osteosarcoma risk when compared with the wide-type genotype. Previous studies have reported the association of XRCC1 Arg399Gln gene polymorphism with the development of several kinds of cancers, such as breast cancer, ovarian cancer, glioma, prostate cancer, non-small cell lung cancer, chronic lymphocytic leukemia, cervical cancer and esophageal cancer [13-20]. Some studies reported that XRCC1 Arg399Gln polymorphism was associated with development of cancers. Malisic et al. investigated the impact of XRCC1 Arg399Gln polymorphisms on ovarian carcinoma risk in Serbian women, and they suggest that XRCC1 Arg399Gln polymorphisms may be biomarkers of susceptibility for ovarian carcinoma development [14]. Wang et al. conducted a study in a Chinese population, and they suggested that XRCC1 Arg399Gln polymorphisms contribute to increased risk of glioma [15]. However, some studies reported inconsistent study. Al Zoubi evaluated the association between XRCC1 Arg399Gln and susceptibility to breast cancer in a Jordanian population, and they reported that XRCC1 Arg399Gln did not show any significant correlation with susceptibility of breast cancer [13]. Kang et al. conducted a study in a Chinese population, and they did not find a significant association between XRCC1 Arg399Gln polymorphism and risk of 227 Int J Clin Exp Pathol 2016;9(1):223-229

non-small cell lung cancer [17]. Morever, Mutlu et al. indicated that XRCC1 Arg399Gln polymorphism was not associated with the development of chronic lymphocytic leukemia [18]. Baijpai et al. did not find significant association between XRCC1 Arg399Gln polymorphism and susceptibility to cervical cancer [19]. Currently, no study reported the association between XRCC1 gene polymorphisms and osteosarcoma risk. Further studies in different ethnicities are greatly needed to confirm the results of our findings. Our study has two major limitations. Firstly, the patients and control subjects were selected from a single hospital, which may not represent the general population; therefore, selection bias could not be avoided. However, the genotype distributions of the four SNPs were found to be consistent with Hardy-Weinberg equilibrium in the control group, which suggest that the subjects in our study could represent the general population. Second, the sample size is relatively small, and the statistical power of determining the association between polymorphisms in XRCC1 and ERCC2 and the risk of osteosarcoma could be limited. Therefore, further studies with larger sample sizes must be performed to validate our findings. In conclusion, our study suggests that the XRCC1 Arg399Gln is significantly associated with the development of osteosarcoma. Further studies with larger sample sizes must be conducted in the future to confirm this association. Disclosure of conflict of interest None. Address correspondence to: Dr. Na Wu, Medical Insurance Office, PLA General Hospital, NO.28 Fuxing Road, Haidian, Beijing 100853, China. Tel: +86-010-66936537; Fax: +86-010-66937419; E-mail: zhaozhijj@sina.com References [1] Ottaviani G, Jaffe N. The etiology of osteosarcoma. Cancer Treat Res 2009; 152: 15-32. [2] He M, Wang Z, Zhao J, Chen Y, Wu Y. COL1A1 polymorphism is associated with risks of osteosarcoma susceptibility and death. Tumour Biol 2014; 35: 1297-305. [3] Zhang HF, Yan JP, Zhuang YS, Han GQ. Association between angiogenic growth factor genetic polymorphisms and the risk of osteosarcoma. Genet Mol Res 2015; 14: 10524-9. [4] Wang J, Liu H, Liu X, Qi X. Effect of variation of FGF2 genotypes on the risk of osteosarcoma susceptibly: a case control study. Int J Clin Exp Med 2015; 8: 6114-8. [5] Jin G, Wang M, Chen W, Shi W, Yin J, Gang W. Single nucleotide polymorphisms of nucleotide excision repair and homologous recombination repair pathways and their role in the risk of osteosarcoma. Pak J Med Sci 2015; 31: 269-73. [6] Hoeijmakers JH. Genome maintenance mechanisms for preventing cancer. Nature 2001; 411: 366-374. [7] Tudek B. Base excision repair modulation as a risk factor for human cancers. Mol Aspects Med 2007; 28: 258-275. [8] Maynard S, Schurman SH, Harboe C, de Souza-Pinto NC, Bohr VA. Base excision repair of oxidative DNA damage and association with cancer and aging. Carcinogenesis 2009; 30: 2-10. [9] Batty DP, Wood RD. Damage recognition in nucleotide excision repair of DNA. Gene 2000; 241: 193-204. [10] Friedberg EC. DNA damage and repair. Nature 2003; 421: 436-440. [11] Garfinkel DJ, Bailis AM. Nucleotide Excision Repair, Genome Stability, and Human Disease: New Insight from Model Systems. J Biomed Biotechnol 2002; 2: 55-60. [12] Choi JK, Kim SC. Environmental effects on gene expression phenotype have regional biases in the human genome. Genetics 2007; 175: 1607-1613. [13] Al Zoubi MS. X-ray repair cross-complementing protein 1 and 3 polymorphisms and susceptibility of breast cancer in a Jordanian population. Saudi Med J 2015; 36: 1163-7. [14] Malisic EJ, Krivokuca AM, Boljevic IZ, Jankovic RN. Impact of RAD51 G135C and XRCC1 Arg- 399Gln polymorphisms on ovarian carcinoma risk in Serbian women. Cancer Biomark 2015; 15: 685-91. [15] Wang L, Jiang YQ, Zhou MD, Jiang Z. Association between XRCC1 Arg399Gln polymorphism and glioma risk in a Chinese population: a case-control study. Int J Clin Exp Med 2015; 8: 10026-30. [16] Yan J, Wang X, Tao H, Deng Z, Yang W, Lin F. Corrigendum: Meta-Analysis of the Relationship between XRCC1-Arg399Gln and Arg280His Polymorphisms and the Risk of Prostate Cancer. Sci Rep 2015; 5: 11967. [17] Kang S, Ma Y, Liu C, Cao C, Hanbateer, Qi J, Li J, Wu X. Assoication of XRCC1 gene polymor- 228 Int J Clin Exp Pathol 2016;9(1):223-229

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