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Journal of Cancer logoLink to Journal of Cancer
. 2016 Aug 6;7(12):1731–1739. doi: 10.7150/jca.15602

XPG Gene Polymorphisms Contribute to Colorectal Cancer Susceptibility: A Two-Stage Case-Control Study

Rui-Xi Hua 1,3,*, Zhen-Jian Zhuo 4,*, Jinhong Zhu 5,*, Shao-Dan Zhang 1, Wen-Qiong Xue 1, Jiang-Bo Zhang 1, Hong-Mei Xu 6, Xi-Zhao Li 1, Pei-Fen Zhang 1, Jing He 1,2,✉, Wei-Hua Jia 1,✉
PMCID: PMC5039395  PMID: 27698911

Abstract

Previous studies have reported that xeroderma pigmentosum group G (XPG) gene polymorphisms may modulate colorectal cancer (CRC) susceptibility. In this study, we performed a two-stage case-control study to comprehensively investigate the associations of five polymorphisms in the XPG gene with CRC risk in 1,901 cases and 1,976 controls from Southern China, including rs2094258 C>T, rs751402 C>T, rs2296147 T>C, rs1047768 T>C and rs873601 G>A. After combining data from two stages, we found that three of the studied polymorphisms (rs2094258 C>T, rs751402 C>T, and rs873601 G>A) were significantly associated with CRC susceptibility. After adjustment for age and gender, multivariate logistic regression analysis indicated that carriers of the rs2094258 T alleles had an increased CRC risk [CT vs. CC: adjusted odds ratio (OR)=1.17, 95% confidence interval (CI)=1.01-1.36; TT vs. CC: adjusted OR=1.49, 95% CI=1.18-1.89; TT vs. CT/CC: adjusted OR=1.38, 95% CI=1.10-1.72]. Likely, rs873601 A allele also conferred increased CRC susceptibility. In contrast, a protective association was identified between rs751402 C>T polymorphism and the risk of CRC. In summary, our results indicated that these three polymorphisms were found to associate with CRC susceptibility in a Southern Chinese population.

Keywords: colorectal cancer, XPG, polymorphism, DNA repair, genetic susceptibility.

Introduction

Colorectal cancer (CRC) is the third most commonly diagnosed cancer in men, while it second only to breast cancer in women. It was estimated that 1.4 million cases and 693,900 deaths might have occurred in 2012 1. Although CRC incidence rate has been thought to be less common in Asian than that in western countries 2, it has been greatly increasing in recent years, and imposed a substantial economic burden in China 3. CRC is a multistep process, resulting from the interaction between alterations in an individual's genetic profile and exposures to environmental carcinogens 4. Epidemiological studies have revealed that a number of factors may contribute to the etiology of CRC, including tobacco use, lack of exercise, overweight and obesity, high consumption of red meat, and alcohol intake. The fact that only a subset of individuals exposed to risk factors actually develop CRC in their lifetime suggests that the role of genetic factors is also indispensible in the development of CRC 5-13.

Emerging evidence has demonstrated that DNA repair plays a critical role in maintaining genome integrity 14. To date, at least five known major DNA repair pathways are validated 15, 16, among which nucleotide excision repair (NER) is the most versatile DNA repair mechanism. It is responsible for removing bulky helix-distorting DNA lesions, such as DNA adducts caused by UV radiation, mutagenic chemicals, and chemotherapeutic agents 17. In humans, defects in NER pathway can result in the rare autosomal recessive disease xeroderma pigmentosum (XP), which is characterized by extreme vulnerability to UV and high susceptibility to sunlight-induced skin cancer 18. Deficiencies in NER pathway were also associated with an increased risk of various types of cancer 19-22. Thus far, at least seven key components (complementation groups XP-A to G) have been identified in the NER pathway 23.

Xeroderma pigmentosum group G (XPG), also known as excision repair cross-complementation group 5 (ERCC5), is located on chromosome 13q22-q33, and encodes a 1,186-amino acid structure-specific endonuclease 24. XPG is an important DNA damage recognition protein that binds to and cleaves damaged DNA at a very early stage to facilitate the downstream DNA repair process 25-27. In addition, XPG has been implicated in RNA transcription through interaction with other transcription activator complexes 28, 29, which eventually influences mutagenesis and cell death 30. It is widely reported that XPG is important in maintaining genomic stability and that single nucleotide polymorphisms (SNPs) in the XPG gene may affect XPG protein expression and function and contribute to DNA repair defects, genomic instability, which may leads to the initiation of cancer of various types 31, 32, including CRC 33, 34.

A multitude of studies have been performed to investigate the association between the XPG gene polymorphisms and cancer risk 35, including lung cancer 36, 37, gastric cancer 20, 38, 39, head and neck cancer 31, 40, and neuroblastoma 41. However, regarding the association with CRC, the sample sizes in the published studies were relatively small, generally less than 1000 cases. Therefore, it is essential to precisely determine the relationship between potentially functional SNPs in XPG gene and CRC susceptibility with sufficient statistical power. Here, we conducted a two-stage case-control study to interrogate the association of interest in a Southern Chinese population consisting of 1,901 CRC patients and 1,976 healthy controls.

Materials and methods

Study population

We performed a two-stage case-control study. The first stage (discovery phase) was designed to discover the significant variants associated with CRC susceptibility in a Chinese population, consisting of 1,141 CRC cases and 1,173 cancer-free controls. The second stage (replication phase) was performed to confirm the results observed in the first-stage, consisting of 760 CRC cases and 803 controls. The reason why we reported this study as a two-stage case control study was that the control subjects were recruited differently. Basically, 1,173 controls included in the first stage were enrolled from Sihui city, while 803 controls included in the second stage were enrolled from individuals who receiving health screening in the First Affiliated Hospital of Sun Yat-sen University. Overall, we recruited CRC cases and healthy controls mainly from January 2000 to May 2010 42, 43. Briefly, all the research objects were unrelated ethnic Han Chinese population from Southern China. A total of 1,901 patients with CRC were enrolled from Sun Yat-sen University Cancer Center. Cases were eligible if they had histologically confirmed adenocarcinoma of the colon; patients with metastasized cancer from other organs were excluded from the study. All the cases were sporadic CRC patients without family history of CRC, familial adenomatous polyposis syndrome, or hereditary non-polyposis colorectal cancer. All 1,976 healthy controls were randomly selected in the same region, and were frequency-matched to cases by sex. After the written informed consent was obtained from a participant, we conducted a face-to-face interview using a self-administered questionnaire including demographic characteristics (e.g., age and sex), lifestyle habits (e.g., smoking habits and alcohol drinking), as well as family history of cancer. The definition of the smoking status and drinking status has been described elsewhere 38. With the permission of the subjects, about 5 ml of venous blood sample was collected from each subject after interview. In general, the response rate of cases and controls was more than 80%. The experimental and research protocols were approved by the Institutional Review Board of Sun Yat-sen University Cancer Center, and all experiments on humans samples were performed in accordance with relevant guidelines and regulations.

Identification of candidate SNPs

The potentially functional SNPs were selected as we described previously 38. Briefly, we searched the candidate SNPs located in the 5'- flanking region, exon, 5'- untranslated region (5' UTR), and 3' UTR, which might affect transcription activity and the microRNA binding site activity. The widely reported SNP rs17655 G>C was excluded because of its highly linkage disequilibrium (LD) with rs873601 G>A (R2=0.91). As a result, five potential functional SNPs (rs2094258 C>T, rs751402 C>T, rs2296147 T>C, rs1047768 T>C and rs873601 G>A) with a minor allele frequency (MAF) > 5% for Chinese Han were selected. All of these five polymorphisms were not identified by previous genome-wide association studies. There was no significant LD among these polymorphisms (R2<0.8). The basic parameters including location and putative function of the five selected SNPs in this study were summarized in Supplemental Table 1.

Genotyping

Genomic DNA was extracted from blood samples using the Qiagen Blood DNA Mini Kit (Qiagen Inc., Valencia, CA) following standard procedures. Genotype analyses of all SNPs were done using Taqman assays from Applied Biosystems (Foster City, CA). To obtain a high accuracy rate of genotyping results, we applied strict quality control procedures, four duplicated positive controls and four negative controls without DNA were used in each of 384-well plates. Additionally, 5% of the samples were randomly chosen for repeatedly genotyping, and 100% concordant results were obtained for all SNPs 38.

Statistical analysis

Differences in distributions of covariates such as demographic characteristics, smoking and alcohol status, tumor sites, tumor stages, and the genotype frequency distributions of XPG polymorphism among cases and controls were compared using chi-square test. Goodness-of-fit χ2 test was used to test whether the genotype frequency distribution of each polymorphism in controls was in Hardy-Weinberg equilibrium (HWE). To estimate the associations between each SNP and CRC risk, univariate and multivariate logistic regression were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Stratification analysis by age, gender, pack-years, smoking and drinking status was performed. The genotype-based mRNA expression for the three polymorphisms (rs2094258 C>T, rs751402 C>T, and rs873601 G>A) were performed by a Student's t-test as described previously 38, 44. All statistical analysis was performed using SAS software (version 9.1; SAS Institute, Cary, NC). All statistical tests were two-sided, and P<0.05 was considered significant.

Results

Population characteristics

The clinical and demographic characteristics of 1,901 colorectal cancer patients and 1,976 cancer-free controls were summarized in Table 1. In brief, there were significant differences between the cases and controls, regarding age, smoking and alcohol status except for gender (P=0.518) in the first stage. Similarly, the average age of the cases was significantly higher than that of controls, while no significant difference was seen in gender (P=0.159) in the validation stage. The combined analysis of the first and second stages revealed that no significant differences in gender (P=0.174) was observed between cases and controls, while patients were significantly older than controls (57.1 ± 13.7 vs. 43.6 ± 11.9). Among CRC patients, 46.4% of lesions (882 cases) occurred in colon, and 53.6% of lesions (1,019 cases) in rectum. Regarding tumor stages, 207 (10.9%), 636 (33.5%), 609 (32.0%), and 449 cases (23.6%) had Duke stage A, B, C, and D diseases, respectively.

Table 1.

Clinical and demographic characteristics of colorectal cancer patients and cancer-free controls.

Variables Study 1 Study 2 Combined
Cases No. (%) Controls No. (%) P a Cases No. (%) Controls No. (%) P a Cases No. (%) Controls No. (%) P a
All subjects 1141(100.0) 1173 (100.0) 760 (100.0) 803 (100.0) 1901 (100.0) 1976 (100.0)
Gender
Males 753 (66.0) 789 (67.3) 0.518 397 (52.2) 448 (55.8) 0.159 1150 (60.5) 1238 (62.6) 0.174
Females 388 (34.0) 384 (32.7) 363 (47.8) 355 (44.2) 751 (39.5) 739 (37.4)
Age, yr 13-89 16-80 21-91 17-80 13-91 16-80
Mean 55.7 ± 13.7 45.2 ± 11.6 59.0 ± 13.6 41.3 ± 12.1 57.1 ± 13.7 43.6 ± 11.9
≤ 50 367 (32.2) 789 (67.3) <0.0001 193 (25.4) 594 (74.0) <0.0001 560 (29.5) 1383 (70.0) <0.0001
51-60 342 (30.0) 285 (24.3) 190 (25.0) 180 (22.4) 532 (28.0) 466 (23.6)
61-70 273 (23.9) 73 (6.2) 205 (27.0) 25 (3.1) 478 (25.1) 98 (5.0)
>70 159 (13.9) 26 (2.2) 172 (22.6) 4 (0.5) 331 (17.4) 30 (1.5)
Smoking status
Never 830 (72.7) 662 (56.4) <0.0001 566 (73.7) - 1396 (73.4) -
Ever 311 (27.3) 511 (43.6) 194 (26.3) - 505 (26.6) -
Drinking status
No 968 (84.8) 600 (51.2) <0.0001 651 (85.7) - 1619 (85.2) -
Yes 173 (15.2) 573 (48.8) 109 (14.3) - 282 (14.8) -
Pack-years
0 830 (72.7) 662 (56.4) <0.0001 566 (73.7) - 1396 (73.4) -
≤ 30 207 (18.1) 383 (32.7) 138 (18.2) - 345 (18.2) -
> 30 104 (9.1) 128 (10.9) 56 (7.4) - 160 (8.4) -
Tumor sites
Colon 505 (44.3) - 377 (49.6) - 882 (46.4) -
Rectal 636 (55.7) - 383 (50.4) - 1019 (53.6) -
Duke Stages
A 130 (11.4) - 77 (10.1) - 207 (10.9) -
B 363 (31.8) - 273 (35.9) - 636 (33.5) -
C 359 (31.5) - 250 (32.9) - 609 (32.0) -
D 289 (25.3) - 160 (21.1) - 449 (23.6) -
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a Two-sided χ2 test for frequency distributions between colorectal cancer cases and cancer-free controls.

Associations between XPG gene polymorphisms and colorectal cancer risk

Results were summarized in Table 2, including the allele frequency and genotype distribution of the selected XPG gene polymorphisms in CRC patients and controls, and ORs and 95% CIs. Genotype frequency distributions of all the SNPs were in HWE within the control subjects (P=0.623 for rs2094258, P=0.537 for rs751402, P=0.182 for rs2296147, P=0.875 for rs1047768, and P=0.875 for rs873601). A single locus analysis showed that in the first phase, the rs2094258 C>T, rs751402 C>T, and rs873601 G>A polymorphisms were significantly associated with CRC susceptibility. The association between all these five polymorphisms and CRC risk were validated in the second stage. Interestingly, the significant associations became even more conspicuous after merging subjects from the two stages. While all subjects from two stages were combined, logistic regression analyses, after adjustment for age, gender, smoking and drinking status, revealed that the rs2094258 T allele was associated with the increased risk of CRC (Adjusted OR=1.17, 95% CI=1.01-1.36, P=0.043 for CT vs. CC; Adjusted OR=1.49, 95% CI=1.18-1.89, P=0.001 for TT vs. CC; Adjusted OR=1.38, 95% CI=1.10-1.72, P=0.005 for TT vs. CC/CT). The risk effect on CRC was also observed for the rs873601 A allele (Adjusted OR=1.18, 95% CI=1.00-1.40, P=0.055 for AG vs. GG; Adjusted OR=1.41, 95% CI=1.15-1.72, P=0.001 for AA vs. GG; and Adjusted OR=1.26, 95% CI=1.06-1.49, P=0.008 for AA vs. GG/AG). On the contrary, the association in the reverse direction was found between the rs751402 T allele and the risk of CRC (Adjusted OR=0.82, 95% CI=0.70-0.96, P=0.013 for CT vs. CC; Adjusted OR=0.69, 95% CI=0.55-0.86, P=0.001 for TT vs. CC; and Adjusted OR=0.77, 95% CI=0.63-0.94, P=0.011 for TT vs. CC/CT). No significant association was observed between CRC risk and rs2296147 T>C polymorphism as well as the rs1047768 T>C polymorphism.

Table 2.

The associations between XPG gene polymorphisms and colorectal cancer risk.

Study 1 Study 2 Combined
Genotypes Cases Controls P a AOR
(95% CI)		 P b Cases Controls P a AOR
(95% CI)		 P b Cases Controls P a AOR
(95% CI)		 P b
rs2094258 C>T
CC 472 (41.4) 527 (44.9) 1.00 325 (42.8) 372 (46.3) 1.00 797 (41.9) 899 (45.5) 1.00
CT 522 (45.8) 524 (44.7) 1.14 (0.93-1.39) 0.202 334 (44.0) 356 (44.3) 1.22 (0.94-1.58) 0.135 856 (45.0) 881 (44.6) 1.17 (1.01-1.36) 0.043
TT 147 (12.9) 122 (10.4) 1.44 (1.06-1.95) 0.021 101 (13.3) 75 (9.3) 1.61 (1.08-2.40) 0.020 248 (13.1) 197 (10.0) 1.49 (1.18-1.89) 0.001
Additive 0.086 1.18 (1.03-1.35) 0.020 0.038 1.25 (1.05-1.50) 0.015 0.004 1.20 (1.08-1.34) 0.001
Recessive 147 (12.9) 122 (10.4) 0.063 1.34 (1.01-1.80) 0.046 101 (13.3) 75 (9.3) 0.014 1.48 (1.00-2.13) 0.051 248 (13.1) 197 (10.0) 0.003 1.38 (1.10-1.72) 0.005
rs751402 C>T
CC 466 (40.9) 433 (36.9) 1.00 326 (42.9) 290 (36.1) 1.00 792 (41.7) 724 (36.6) 1.00
CT 524 (46.0) 551 (47.0) 0.88 (0.72-1.08) 0.221 336 (44.2) 401 (49.9) 0.71 (0.54-0.92) 0.010 860 (45.3) 952 (48.2) 0.82 (0.70-0.96) 0.013
TT 150 (13.2) 189 (16.1) 0.66 (0.50-0.88) 0.005 98 (12.9) 112 (13.9) 0.63 (0.43-0.92) 0.018 248 (13.1) 301 (15.2) 0.69 (0.55-0.86) 0.001
Additive 0.052 0.83 (0.73-0.95) 0.006 0.023 0.77 (0.64-0.92) 0.004 0.004 0.83 (0.75-0.92) 0.0004
Recessive 150 (13.2) 189 (16.1) 0.045 0.71 (0.55-0.92) 0.010 98 (12.9) 112 (13.9) 0.542 0.76 (0.53-1.08) 0.128 248 (13.1) 301 (15.2) 0.052 0.77 (0.63-0.94) 0.011
rs2296147 T>C
TT 714 (62.6) 746(63.6) 1.00 455 (59.9) 467(58.2) 1.00 1169 (61.5) 1213(61.4) 1.00
CT 379 (33.2) 388 (33.1) 1.12 (0.92-1.37) 0.260 265 (34.9) 303 (37.7) 0.93 (0.72-1.21) 0.595 644 (33.9) 692 (35.0) 1.01 (0.86-1.17) 0.951
CC 48 (4.2) 39 (3.3) 1.33 (0.81-2.17) 0.264 40 (5.3) 33 (4.1) 1.66 (0.90-3.05) 0.102 88 (4.6) 72 (3.6) 1.34 (0.92-1.93) 0.124
Additive 0.523 1.13 (0.96-1.34) 0.140 0.335 1.06 (0.86-1.31) 0.568 0.266 1.06 (0.94-1.20) 0.353
Recessive 48 (4.2) 39 (3.3) 0.265 1.27 (0.78-2.08) 0.332 40 (5.3) 33 (4.1) 0.280 1.71 (0.93-3.11) 0.082 88 (4.6) 72 (3.6) 0.122 1.33 (0.93-1.92) 0.122
rs1047768 T>C
TT 592 (51.9) 625 (53.3) 1.00 378 (49.7) 398 (49.6) 1.00 970 (51.0) 1023 (51.7) 1.00
TC 451 (39.5) 461 (39.3) 1.09 (0.89-1.32) 0.415 307 (40.4) 350 (43.6) 0.99 (0.77-1.27) 0.913 758 (39.9) 812 (41.1) 1.00 (0.86-1.16) 0.960
CC 98 (8.6) 87 (7.4) 1.22 (0.86-1.74) 0.267 75 (9.9) 55 (6.8) 1.75 (1.09-2.81) 0.020 173 (9.1) 142 (7.2) 1.33 (1.01-1.75) 0.039
Additive 0.544 1.10 (0.95-1.27) 0.217 0.073 1.16 (0.96-1.41) 0.132 0.089 1.08 (0.97-1.21) 0.169
Recessive 98 (8.6) 87 (7.4) 0.299 1.18 (0.84-1.66) 0.346 75 (9.9) 55 (6.8) 0.031 1.76 (1.11-2.79) 0.016 173 (9.1) 142 (7.2) 0.029 1.34 (1.02-1.74) 0.033
rs873601 G>A
GG 266 (23.3) 323 (27.5) 1.00 210 (27.6) 227 (28.3) 1.00 476 (25.0) 550 (27.8) 1.00
AG 579 (50.7) 598 (51.0) 1.20 (0.96-1.50) 0.112 375 (49.3) 426 (53.1) 1.17 (0.87-1.56) 0.294 954 (50.2) 1025 (51.9) 1.18 (1.00-1.40) 0.055
AA 296 (25.9) 252 (21.5) 1.49 (1.14-1.94) 0.003 175 (23.0) 150 (18.7) 1.29 (0.91-1.83) 0.147 471 (24.8) 402 (20.3) 1.41 (1.15-1.72) 0.001
Additive 0.012 1.22 (1.07-1.39) 0.004 0.098 1.14 (0.96-1.36) 0.143 0.003 1.19 (1.07-1.31) 0.001
Recessive 296 (25.9) 252 (21.5) 0.012 1.32 (1.06-1.64) 0.014 175 (23.0) 150 (18.7) 0.034 1.17 (0.87-1.56) 0.295 471 (24.8) 402 (20.3) 0.001 1.26 (1.06-1.49) 0.008
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XPG, xeroderma pigmentosum group G; CI, confidence interval; AOR, adjusted odds ratio.

a χ2 test for genotype distributions between cases and controls.

b Adjusted for age, gender, smoking and drinking status in logistic regression models.

Stratification analysis for the three significant polymorphisms

We further investigated the association between rs2094258 C>T, rs751402 C>T, and rs873601 G>A polymorphisms and CRC risk in the stratified study by age, gender, smoking status, pack-year, drinking status, tumor sites, and Duke stages. The results of the first phase were shown in Table 3. We found that the rs2094258 TT genotype was associated with a significantly increased risk of CRC risk among men (Adjusted OR=1.54, 95% CI=1.06-2.23), heavy cigarette smokers (Adjusted OR=2.57, 95% CI=1.13-5.85), patients with colon cancer (Adjusted OR=1.48, 95% CI=1.03-2.12), and Duke stages C+D patients (Adjusted OR=1.56, 95% CI=1.13-2.15), when CC/CT genotypes were served as a reference group. Moreover, the rs873601 AA genotype was found to be associated with a significantly increased risk of CRC among women (Adjusted OR=1.47, 95% CI=1.03-2.11), non-smokers (Adjusted OR=1.42, 95% CI=1.07-1.89), never-drinkers (Adjusted OR=1.36, 95% CI=1.05-1.77), patients with colon cancer (Adjusted OR=1.48, 95% CI=1.12-1.95) and Duke stages C+D diseases (Adjusted OR=1.53, 95% CI=1.19-1.95), when GG/AG genotypes were considered as a reference group. In contrast, we found that the rs751402 TT genotype helped to protect against CRC among the young group (Adjusted OR=0.66, 95% CI=0.48-0.90), men (Adjusted OR=0.65, 95% CI=0.47-0.90), smokers (Adjusted OR=0.59, 95% CI=0.37-0.93), patients with rectal cancer (Adjusted OR=0.73, 95% CI=0.53-0.99) and Duke stages C+D diseases (Adjusted OR=0.72, 95% CI=0.53-0.98), when compared with CC/CT genotypes.

Table 3.

Stratification analysis for associations between the three XPG variant genotypes and colorectal cancer risk (Study 1).

Variables rs2094258 (cases/controls) Adjusted OR (95% CI) P a rs751402 (cases/controls) Adjusted OR (95% CI) P a rs873601 (Case/Control) Adjusted OR (95% CI) P a
CC/CT TT CC/CT TT GG/AG AA
Median age, yr
≤Median 520/891 78/108 1.18 (0.85-1.65) 0.319 524/836 74/163 0.66 (0.48-0.90) 0.009 444/782 154/217 1.26 (0.98-1.62) 0.074
>Median 474/160 69/14 1.80 (0.97-3.32) 0.061 466/148 76/26 0.92 (0.56-1.50) 0.723 401/139 142/35 1.45 (0.94-2.21) 0.090
Gender
Males 660/712 93/77 1.54 (1.06-2.23) 0.024 653/655 99/134 0.65 (0.47-0.90) 0.009 576/625 177/164 1.22 (0.92-1.62) 0. 167
Females 334/339 54/45 1.06 (0.66-1.68) 0.817 337/329 51/55 0.84 (0.54-1.33) 0.463 269/296 119/88 1.47 (1.03-2.11) 0.036
Smoking status
Never 727/594 103/68 1.24 (0.85-1.81) 0.259 715/559 114/103 0.76 (0.54-1.06) 0.105 615/521 215/141 1.42 (1.07-1.89) 0.016
Ever 267/457 44/54 1.60 (1.00-2.56) 0.049 275/425 36/86 0.59 (0.37-0.93) 0.023 230/400 81/111 1.23 (0.85-1.77) 0.277
Pack-years
0 727/594 103/68 1.24 (0.85-1.81) 0.259 715/559 114/103 0.76 (0.54-1.06) 0.105 615/521 215/141 1.42 (1.07-1.89) 0.016
≤ 30 181/343 26/40 1.23 (0.68-2.20) 0.497 181/322 26/61 0.67 (0.38-1.18) 0.167 152/295 55/88 1.14 (0.72-1.78) 0.581
> 30 86/114 18/14 2.57 (1.13-5.85) 0.024 94/103 10/25 0.46 (0.21-1.04) 0.063 78/105 26/23 1.43 (0.73-2.77) 0.296
Drinking status
Never 845/534 123/66 1.30 (0.92-1.82) 0.137 834/499 133/101 0.74 (0.55-1.00) 0.052 715/470 253/130 1.36 (1.05-1.77) 0.019
Ever 149/517 24/56 1.42 (0.78-2.57) 0.248 156/485 17/88 0.55 (0.29-1.04) 0.067 130/451 43/122 1.26 (0.78-2.02) 0.343
Tumor sites
Colon 436/1051 69/122 1.48 (1.03-2.12) 0.034 440/984 65/189 0.72 (0.51-1.01) 0.057 368/921 137/252 1.48 (1.12-1.95) 0.006
Rectal 558/1051 78/122 1.28 (0.91-1.79) 0.155 550/984 85/189 0.73 (0.53-0.99) 0.042 477/921 159/252 1.18 (0.92-1.53) 0.197
Duke stages
A+B 439/1051 54/122 1.06 (0.72-1.58) 0.762 427/984 65/189 0.72 (0.51-1.03) 0.068 379/921 114/252 1.01 (0.76-1.36) 0.928
C+D 555/1051 93/122 1.56 (1.13-2.15) 0.007 563/984 85/189 0.72 (0.53-0.98) 0.035 466/921 182/252 1.53 (1.19-1.95) 0.001
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XPG, xeroderma pigmentosum group G; CI, confidence interval; OR, odds ratio.

a Adjusted for age, gender, smoking and drinking status in logistic regression models.

To further validate the association of the above SNPs with predisposition to CRC, we carried out the stratified analyses of rs2094258 C>T, rs751402 C>T, and rs873601G>A, using the combined sample (Table 4). With the increased number of sample, we found that the significant association with the rs2094258 TT genotype became stronger in men and patients with Duke stages C+D diseases, and became weaker in subgroups divided by age and tumor site, when CC/CT genotypes were used as a reference group. The protective effect of rs751402 TT genotype became stronger in the young group and men, and was weakened in subgroups divided by tumor stage and tumor site. Finally, the risk effect of the rs873601 AA genotype was more evident in the young group, women, colon cancer, and Duke stages C+D subgroups, when GG/AG were used as control genotypes.

Table 4.

Stratification analysis for associations between the three XPG variant genotypes and colorectal cancer risk (Combined).

Variables rs2094258 (cases/controls) Adjusted OR (95% CI) P a rs751402 (cases/controls) Adjusted OR (95% CI) P a rs873601 (Case/Control) Adjusted OR (95% CI) P a
CC/CT TT CC CT/TT GG/AG AA
Median age, yr
≤Median 854/1576 131/180 1.34 (1.05-1.70) 0.017 422/640 563/1116 0.77 (0.65-0.90) 0.001 731/1399 254/357 1.35 (1.13-1.63) 0.001
>Median 799/204 117/17 1.75 (1.03-2.98) 0.039 370/84 545/137 0.90 (0.67-1.22) 0.513 699/176 217/45 1.21 (0.85-1.74) 0.294
Gender
Males 1005/1119 145/119 1.41 (1.06-1.88) 0.018 474/449 675/789 0.78 (0.65-0.94) 0.010 879/993 271/245 1.20 (0.97-1.50) 0. 100
Females 648/661 103/78 1.32 (0.93-1.88) 0.124 318/275 433/464 0.80 (0.64-1.02) 0.067 551/582 200/157 1.34 (1.03-1.76) 0.031
Tumor sites
Colon 775/1780 107/197 1.40 (1.06-1.85) 0.020 362/724 520/1253 0.80 (0.67-0.97) 0.020 666/1575 216/402 1.29 (1.04-1.59) 0.020
Rectal 878/1780 141/197 1.38 (1.06-1.79) 0.015 430/724 588/1253 0.81 (0.68-0.96) 0.016 764/1575 255/402 1.19 (0.97-1.45) 0.094
Duke stages
A+B 736/1780 107/197 1.26 (0.94-1.69) 0.123 344/724 498/1253 0.81 (0.67-0.98) 0.033 647/1575 196/402 1.03 (0.82-1.29) 0.825
C+D 917/1780 141/197 1.47 (1.14-1.90) 0.003 448/724 610/1253 0.80 (0.68-0.95) 0.009 783/1575 275/402 1.39 (1.15-1.69) 0.001
Open in a new tab

XPG, xeroderma pigmentosum group G; CI, confidence interval; OR, odds ratio.

a Adjusted for age, gender, smoking and drinking status in logistic regression models.

The correlation between genotypes of XPG polymorphisms and mRNA expression were shown in Supplemental Table 2. We found significant correlation between alterations in the mRNA expression and all the three noteworthy polymorphisms, to different extents.

Discussion

In the present study, we performed a two-stage case-control study to investigate the associations between five potentially functional SNPs in the XPG gene and CRC susceptibility in a Chinese Han population from Southern China. We identified three SNPs (rs2094258 C>T, rs751402 C>T and rs873601 G>A) that were associated with CRC susceptibility (first stage), and further validated these findings in a separate case-control study (second study). To the best of our knowledge, by far, the present study is the largest investigation to explore the association of XPG gene polymorphisms with CRC risk.

XPG acts as an endonuclease to participate in two incision steps in NER pathway, dysfunction of which leads to the excision repair deficiency 45, 46. XPG cleaves the DNA strand at the 3' side of the damaged site, and stabilizes the DNA repair complex to the damaged DNA with ERCC1/XPF complex by making 5' incision 47-50. Many XPG gene polymorphisms can change the ability of the encoded enzyme to repair the DNA damage. Genetic variants may modulate susceptibility to colorectal cancer through complex gene-gene and gene-environment interactions 51, 52.

Although a few studies have investigated the role of XPG gene polymorphisms in the CRC risk, most of them were focused on XPG Asp1104His (rs17655 G>C) polymorphism. In a hospital-based case-control study consisting of 532 cases and 532 controls from the Czech population, a trend towards an increased risk of CRC was found among carriers of XPG Asp1104His variant alleles 53. Mort et al. 54 reported that no significant association was found between XPG Asp1104His and CRC risk. Such null association was also observed in 79 CRC patients and 247 healthy controls in Turkish population 55. In contrast, other studies reported opposite results regarding the association. In a Poland case-control study including 758 patients with CRC and 1,841 healthy controls, the XPG Asp1104His was significantly associated with an increased CRC risk in heterozygotes (GC genotypes) 34. Liu et al. 56 found that heterozygotes and variant homozygotes of XPG Asp1104His had an increased risk for developing CRC in a population-based case-control study involving 1,028 CRC cases and 1,085 controls in the Chinese population. And the same study indicated that this SNP also conferred a significantly decreased progression-free survival after oxaliplatin-based adjuvant chemotherapy in CRC patients. More recently, Du et al. 57 found that XPG Asp1104His polymorphism was associated with a significantly increased CRC risk, especially in Asians.

In this study, we chose four SNPs (rs2094258 C>T, rs751402 C>T, rs2296147 T>C, and rs873601 G>A) located at the two ends of the XPG gene, and one SNP (rs1047768 T>C) in the coding region. Overall, rs2094258 C>T and rs873601 G>A were shown to significantly increase CRC risk, whereas rs751402 C>T significantly reduce the CRC risk. In a previous study, we also found that the presence of rs873601A variant genotypes was associated with a significantly elevated risk of gastric cancer in an Eastern Chinese population 38. Stratification analysis of participants in the two stages suggested that male carriers of rs2094258 TT genotype showed increased CRC risk and CRC patients carrying the rs2094258 TT genotype was significantly more likely to be diagnosed with the late stages of disease (Dukes C+D). We also found that rs751402 TT genotype had a protective effect against CRC in the younger subjects and men. Finally, significant associations between rs873601 AA genotype and increased CRC risk were observed in the young group and women; moreover, subjects with rs873601 AA genotype tended to develop colon cancer and have Duke stages C/D diseases. In order to provide biological evidence for our findings from observational study, we performed genotype-based mRNA expression analysis using the HapMap data and found that all of these three significant polymorphisms can alter the XPG mRNA expression, to some extent. However, the precise mechanism for the association of 2094258 C>T, rs751402 C>T, and rs873601 G>A polymorphisms with CRC remains unclear, because of lacking of direct functional data for these polymorphisms. Our mechanistic study based on bioinformatics analyses was informative, but quite preliminary. Besides, CRC is a complex condition caused by the interplay of environmental and genetic factors. Therefore, additional mechanistic studies are needed to unravel the molecular mechanisms underlying these observed associations.

Although we extensively analyzed five potentially functional SNPs in the XPG gene by adopting a large two-stage case-control study, followed by genotype-based mRNA expression analysis, there still exists some limitations to be addressed. First, frequency matching between cases and controls was only performed on gender, but not on age (± 5 year), smoking and drinking status. Multivariate logistic regression analysis was used to reduce the impact of these factors, to some extent. Second, the number of the selected XPG polymorphisms is limited, because this research focused on the potentially functional SNPs loci not covered by the GWAS chip analysis. As a result, some nonfunctional, low-frequency SNPs and the chain with the selected sites SNPs loci, which may also contribute to CRC susceptibility, were not included in this study. For instance, rs17655 G>C, which was in strong LD with rs873601 G>A, was not selected. The selected sites were also limited, which restricted further haplotypes analysis. Third, the inherent limitation of retrospective study, to a certain extent, reduced the credibility of the assessment of the CRC risk. Many other related factors such as BMI, eating habits, occupational exposure and environmental factors should be considered, since colorectal cancer is a heterogeneous disease. Forth, our study was a case-control study with subjects from Southern China, and this population may not well represent other Chinese populations in the different regions. Finally, in this hospital-based case-control study, patients were recruited from hospitals while controls were from the community. As a result, selection bias and information bias may exist. The phenomenon that the controls were more likely to be smokers and drinkers compared to the CRC group in our study may be the results of selection bias. Moreover, it should be noted that the mean age of the CRC patients was quite low in this study.

In conclusion, we found the XPG rs2094258 C>T, rs751402 C>T and rs873601 G>A polymorphisms were associated with CRC susceptibility. Future well-designed, prospective studies with larger sample size, involving different ethnicities, are warranted to confirm our findings.

Supplementary Material

Supplementary tables.

Click here for additional data file. (116.8KB, pdf)

Acknowledgments

This study was supported by grants from the National Natural Science Foundation of China (Grant No. 81502046), Special Financial Grant from the China Postdoctoral Science Foundation (Grant No. 2014T70836), the Natural Science Foundation of Guangdong Province (Grant No. 2015A030310324), and the National Science Fund for Distinguished Young Scholars (Grant No. 81325018).

Abbreviations

CRC

colorectal cancer

NER

nucleotide excision repair

XP

xeroderma pigmentosum

XPG

xeroderma pigmentosum group G

ERCC5

excision repair cross-complementation group 5

SNP

single nucleotide polymorphisms

MAF

minor allele frequency

HWE

Hardy-Weinberg equilibrium

OR

odds ratio

CI

confidence interval

LD

linkage disequilibrium.

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