Abstract
The DNA repair gene X-ray repair cross complementing protein 3 (XRCC3) is thought to play a major role in double-strand break repair and in maintaining genomic stability. Very possibly, defective double-strand break repair of cells can lead to carcinogenesis. Therefore, a case–control study was performed to reveal the contribution of XRCC3 genotypes to individual oral cancer susceptibility. In this hospital-based research, the association of XRCC3 rs1799794, rs45603942, rs861530, rs3212057, rs1799796, rs861539, rs28903081 genotypes with oral cancer risk in a Taiwanese population was investigated. In total, 788 patients with oral cancer and 956 age- and gender-matched healthy controls were genotyped. The results showed that there was significant differential distribution among oral cancer and controls in the genotypic (p=0.001428) and allelic (p=0.0013) frequencies of XRCC3 rs861539. As for the other polymorphisms, there was no difference between case and control groups. In gene–lifestyle interaction analysis, we have provided the first evidence showing that there is an obvious joint effect of XRCC3 rs861539 genotype with individual areca chewing habits on oral cancer risk. In conclusion, the T allele of XRCC3 rs861539, which has an interaction with areca chewing habit in oral carcinogenesis, may be an early marker for oral cancer in Taiwanese.
Oral cancer, which is the tenth most commonly diagnosed cancer worldwide (1), has the highest incidence of all head and neck cancers in Taiwan (2). Three major lifestyle factors, namely the use of tobacco, alcohol and betel nuts, are main causes of oral cancer in Taiwan, while the genomic etiology of oral cancer is of great interest but largely unknown. Human DNA repair mechanisms protect the genome from various insults caused by endogenous and exogenous DNA-damaging agents (3) and defects in the DNA repair system are thought to be essential in tumorigenesis (4, 5). Therefore, it is logical to suspect that some genetic variants of DNA repair genes might contribute to oral cancer pathogenesis.
Environmental carcinogens such as UV light, ionizing radiation or chemical agents, contained for instance in tobacco smoke, may induce double-strand breaks (DSBs) in DNA. DSBs are a severe type of DNA damage which should be repaired by the DNA DSB repair system (6, 7). If cells cannot remove DSBs immediately by means of homologous recombination and non-homologous end-joining, these DNA DSBs may induce pre-cancerous lesions and even cancer itself (8, 9). Genetic polymorphisms in DNA DSB repair genes influences the DNA repair capacity and confers predisposition to several types of cancer, including skin (10), breast (11, 12) liver (13), gastric (14), and oral (15, 16) cancer. The X-Ray repair cross-complementing group 3 (XRCC3; 14q32.3) is a member of the RAD51 recombinase (RAD51) DNA repair family, which has been shown to interact directly with rad51 and is essential with respect to the proper accumulation of rad51 at sites of DNA DSBs in the nucleus (17).
The most common genetic polymorphism of the XRCC3 gene is the rs861539 C/T polymorphism (also named Thr241Met, T241M, C18067T and C722T). Some studies were performed to investigate the association between XRCC3 rs861539 and oral pre-malignant (9) and oral cancer risk (18-22), however no consistent finding was reported. The inconsistency may be caused by small sample sizes and different genetic backgrounds among different ethnicities. To identify the contribution of the XRCC3 genotype to oral cancer risk in Taiwan, we determined the genotypic frequencies of seven single nucleotide polymorphisms (SNPs) of the XRCC3 gene at promoter A-315G (rs1799794), promoter C-280T (rs45603942), intron5 (rs861530), exon6 (rs3212057), intron7 (rs1799796), exon8 (rs861539) and exon10 (rs28903081), and evaluate the gene–lifestyle interaction.
Materials and Methods
Study population and sample collection. Seven hundred and eighty-eight patients diagnosed with oral cancer were recruited at the China Medical University Hospital in central Taiwan during 1998 to 2010. All patients voluntarily participated, completed a self-administered questionnaire and provided a 5 ml peripheral blood sample. The questionnaire administered to the participants included questions on history and frequency of alcohol consumption, areca chewing and smoking habits. Self-reported alcohol consumption, areca chewing and smoking habits were evaluated and classified as categorical variables, with use more than twice a week for years as ‘ever’. A total of 956 non-cancer healthy people as controls were selected by matching for age and gender after initial random sampling from the Health Examination Cohort of the hospital. The ratio of males versus females was 76% versus 24% in each group. The mean age of the patients with oral cancer and the controls was 55.8 (SD=9.9) and 56.6 (SD=8.7) years, respectively (see Table I for more details). Our continuous study was approved by the Institutional Review Board of the China Medical University Hospital and written-informed consent was obtained from all participants.
Genotyping conditions. Genomic DNA was prepared from peripheral blood leucocytes using a QIAamp Blood Mini Kit (Blossom, Taipei, Taiwan, ROC) and further processed as per our previous articles (23, 24). A total of seven polymorphic sites were analyzed in all participants of the control and case groups. Briefly, all of the seven polymorphic sites were genotyped by means of polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). PCR was performed on a BioRad Mycycler (BioRad, Hercules, CA, USA) following the manufacturer's instructions. Each PCR reaction consisted of 5 min initial cycle at 94°C for 5 min; 40 cycles of 94°C for 30 s, 55°C for 30 s, and 72°C for 30 s; and a final extension at 72°C for 10 min. Then the SNP-containing DNA amplicons were subjected to individual overnight digestion by restriction endonucleases following the manufacturer's instructions (see Table II for more details). Following digestion, each sample was immediately analyzed by 2% agarose gel electrophoresis. Details such as the primer sequences, and enzymatic digestion conditions for each SNP analyzed in this study are summarized in Table II.
Statistical analyses. Matched SNP data and clinical characteristics (case/control=788/956) were analyzed. To ensure that the controls used were representative of the general population and to exclude the possibility of genotyping error, the deviation of the genotype frequencies of XRCC3 SNPs in the controls from those expected under the Hardy–Weinberg equilibrium was assessed using the goodness-of-fit test. Pearson's chi-square test was used to compare the distribution of the XRCC3 genotypes between cases and controls. Cancer risk associated with the genotypes was estimated as odds ratio (ORs) and 95% confidence intervals (CIs) using unconditional logistic regression. Data were recognized as significant when the statistical p-value was less than 0.05.
Results
The clinical characteristics of 788 patients recruited with oral cancer and 956 age- and gender-matched controls are shown in Table I. Since the controls are age-, gender-matched with the cases, there was no significant difference between the two groups as to their age and gender (Table I). However, for the personal habits, there was a significant difference in that the case group seemed to have more smokers and betel quid chewers (Table I). The frequency distributions of the genotypes for the XRCC3 rs1799794, rs45603942, rs861530, rs3212057, rs1799796, rs861539 and rs28903081 polymorphic sites between controls and patients with oral cancer are shown in Table III. Genotypic distribution pattern of XRCC3 rs861539 was significantly different between oral cancer and control groups (p<0.05), while those for rs1799794, rs45603942, rs861530, rs3212057, rs1799796 and rs28903081 were not significant (p>0.05) (Table III). In detail, distributions of XRCC3 rs861539 CC homozygotes/heterozygotes/TT homozygotes in controls and patients were 91.9/7.6/0.5% and 86.8/11.7/1.5%, respectively (Table III). There was no heterozygote or homozygote variant for XRCC3 rs3212057 and rs28903081 among Taiwanese subjects (Table III). To sum up, the genotype of XRCC3 rs861539, not rs1799794, rs45603942, rs861530, rs3212057, rs1799796 or rs28903081, appears to be associated with oral cancer risk and may be a biomarker for oral cancer.
The frequencies of the alleles for the XRCC3 rs1799794, rs45603942, rs861530, rs3212057, rs1799796, rs861539 and rs28903081 of all the recruited participants are shown in Table IV. Among them, the carriers of XRCC3 rs861539 T allele were at higher risk for oral cancer (p=0.0013), while genotypes of XRCC3 rs1799794, rs45603942, rs861530, rs3212057, rs1799796 and rs28903081 were not associated with oral cancer susceptibility (Table IV).
We were interested to investigate the potential gene–lifestyle interactions between the XRCC3 gene and oral cancer-related habits. In Taiwan, the habits of smoking, alcoholism and betel quid chewing are believed to significantly increase oral cancer risk. Therefore, the risk of oral cancer related to XRCC3 genotypes was further examined with stratification by areca chewing, smoking and alcohol drinking status. Table V shows the interaction of XRCC3 genotype and betel quid chewing status on personal oral cancer susceptibility (Table V). Compared with the CC genotype, having the CT or TT genotype significantly increased oral cancer risk only in the areca chewers (p=0.0010, OR=1.94, 95% CI=1.31-2.87), not in the non-areca chewers (p>0.05, OR=1.10, 95%CI=0.56-2.17) (Table V). With the same strategy, the interactions among XRCC3 genotype and smoking or alcohol drinking statuses were also analyzed, but no significant interaction was found (data not shown).
Discussion
In recent years, some researchers investigated the contribution of genetic variations in genes of DSB repair to oral cancer risk (9, 15, 16, 18-22, 25-29). Among them, several studies had analyzed the interaction of genetic variations and behavioral factors on oral cancer (19, 20, 26, 28). The present study investigated the role of XRCC3 gene polymorphisms in oral cancer risk in Taiwan, where oral cancer prevalence is the highest in the world due to use of betel quid, tobacco and alcohol. Among the seven polymorphisms of XRCC3, rs861539 located in the exon 8 region and the T allele for it was associated with oral cancer in Taiwan (Tables III and IV), but the other six polymorphisms were not. The direct result of rs861539 genetic variation is an amino acid coding alteration from Thr to Met. Possibly, this XRCC3 rs861539 genetic polymorphism may also result in functional polymorphism and predisposing to oral carcinogenesis. Up to now, the studies investigating the association of XRCC3 polymorphism with oral cancer risk did not reach a consistent conclusion. This may be due to different recruited populations with different genetic background, various behavioral and environmental factors were taken into consideration, and inconsistent polymorphic sites were chosen. In 2012, XRCC3 rs3212057 was found to be associated with head and neck cancer in Poland (30). There were also some negative findings reporting no association between XRCC3 genotype and oral cancer in Brazil (18), Belgium (20), India (19). As for XRCC3 rs861539, a positive finding was reported in Thailand, but the sample size of the study was rather small, with only 112 oral cancer cases and 119 controls (21).
Thus, a relatively large sample size (controls:cases=956:788) and concise data analysis without adjustment strengthen the accuracy and reliability of our finding. Moreover, the frequencies of XRCC3 polymorphisms variant alleles were similar to those reported in the National Center for Biotechnology Information (NCBI) website for the Asian population studies, for example the minor T allelic frequency of XRCC3 rs861539 is 4.3% (Table IV) in our control group and 4.7 to 11.0% for the Asian population according to the NCBI. In 2005, in Jin and colleagues' work, the minor T allelic frequency of XRCC3 rs861539 was reported as 0.36% in 280 controls and 0.71% in 140 patients with colorectal cancer in Taiwan (31). The data suggested that there was no selection bias for enrolments in terms of genotype. Therefore, verifying of our findings in further larger studies is not so urgently needed.
There were three behavioral factors reported to be closely-related to oral carcinogenesis in Taiwan, cigarette smoking, alcohol consumption and betel quid chewing. Previously, our group has provided evidence for interaction between DNA DSB genes and betel quid chewing habit for XRCC4 and XRCC5 (15, 29). Again, the results in this study have shown that there was positive interaction of variant DNA DSB gene XRCC3 rs861539 genotypes with betel quid chewing habits in oral cancer risk (Table V). People with betel quid chewing habit and carrying the T allele of XRCC3 rs861539 have a higher risk of oral cancer among our stratified sub-groups. These findings strengthen the theory for oral carcinogenesis that genetic variants in DNA double strand break system may enhance genomic vulnerability to DNA caused by areca chewing, leading to oral carcinogenesis.
In conclusion, we found that the genotype of XRCC3 rs861539, but not those of rs1799794, rs45603942, rs861530, rs3212057, rs1799796 or rs28903081, was associated with higher oral cancer risk through the T allele. In addition, the increased oral cancer risk due to variant genotypes of XRCC3 rs861539 was more obviously enhanced among betel quid chewers, but not among non-chewers. Individual smoking and alcohol drinking habits did not appear to enhance oral cancer susceptibility. The XRCC3 rs861539 polymorphism might become a potential biomarker for the early detection and prediction of oral oncology and further investigation of the phenotypic effects determined by this genotypic variation on oral carcinogenesis are needed.
Acknowledgements
We thank Tsai-Ping Ho, Chieh-Lun Hsiao, Lin-Lin Hou, Chia-En Miao, Tzu-Chia Wang, Yun-Ru Syu and Tissue-bank of China Medical University Hospital for technical assistance. This study was supported by research grants from Terry Fox Cancer Research Foundation of China Medical University and the National Science Council (NSC101-2320-B-039-045 and NSC102-2320-B-039-045).
- Received February 24, 2014.
- Revision received April 3, 2014.
- Accepted April 4, 2014.
- Copyright© 2014 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved