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. 2016 Mar 15;9:1499–1510. doi: 10.2147/OTT.S101456

Association between APE1 Asp148Glu polymorphism and the risk of urinary cancers: a meta-analysis of 18 case–control studies

Jie-Hui Zhong 1,2,*, Zhen Zhao 3,*, Jie Liu 4, Hai-Lang Yu 2, Jue-Yu Zhou 2,✉, Rong Shi 2,✉
PMCID: PMC4801150  PMID: 27042118

Abstract

Background

Several observational studies suggested that APE1 Asp148Glu was significantly associated with urinary cancers; however, the results of published studies are inconsistent.

Materials and methods

The PubMed and EMBASE were searched for case–control studies regarding the association between Asp148Glu and the risk of urinary cancers with a time limit of September 12, 2015. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the association between Asp148Glu and the risk of developing prostate cancer, kidney cancer, bladder cancer, as well as all urinary cancers combined.

Results

A total of 18 case–control studies were included in the analysis. Our meta-analysis revealed that the inheritance of at least one APE1 148Glu among Asian men was associated with a 1.26-fold increase in the risk of developing urinary cancers. Meanwhile, APE1 Asp148Glu was significantly associated with the risk of prostate cancer. However, there were no significant relationships between the APE1 SNP (single nucleotide polymorphism) and all urinary cancers combined and bladder cancer and kidney cancer among the men of Caucasian/Asian/African descent or all racial/ethnic groups combined. When stratified by the quality score, no significant association was found in high-quality studies (score ≥7), but a significant increased risk of urinary cancers was observed in lower quality studies (score <7) (dominant model: OR=1.27, 95% CI=1.11–1.45).

Conclusion

Our meta-analysis suggests that APE1 Asp148Glu was not associated with the risk of urinary cancers but might increase the risk of urinary cancers among Asians. Stratification by cancer type identified a significant association of Asp148Glu with prostate cancer.

Keywords: APE1, polymorphism, cancer, meta-analysis

Introduction

Urinary cancers, including kidney cancer, prostate cancer and bladder cancer, are common types of malignancies worldwide.1 For example, prostate cancer is the second most frequently diagnosed cancer and the sixth leading cause of cancer death in males, accounting for 14% of the total new cancer cases and 6% of the total cancer deaths in males in 2008.1 Bladder cancer is the seventh most common cancer among men, with ~297,300 new incident cases per year in the world.1 The estimated probability of developing urinary cancers is based on the average experience of the general population and may over- or underestimate individual risk because of differences in exposure, medical history, and/or genetic susceptibility.2

DNA repair genes play a major role in the DNA mismatch repair pathway, which includes base excision repair (BER), nucleotide excision repair, mismatch repair, and double strand break repair.3 Genetic variations in genes involved in DNA repair would confer susceptibility to the tumor and would be associated to disease aggressiveness through the alteration of DNA repair pathways.4 Among them, BER pathway is responsible for repairing small lesions such as oxidative damage, alkylation, or methylation.5 This pathway is a multistep process that requires the activity of several proteins.6 Apurinic/apyrimidinic endonuclease 1 (APE1, also known as APE, APEX, HAP1, and REF-1) is a multifunctional protein that plays a central role in the BER pathway through hydrolyzing the phosphodiester backbone immediately 5′ to the AP site.5,7 APE1 can act as a 3′-phosphodiesterase to initiate the repair of 3′-blocking damage at DNA single-strand breaks, which are produced either directly by reactive oxygen species or indirectly through the enzymatic removal of damaged bases.8,9 It also acts as a transcriptional coactivator for numerous transcription factors (AP-1, p53, Pax-5, and TTF-1) involved in cancer development.10

The human APE1 gene (2.6 kb in size) is localized to chromosome14 q11.2-12 and consists of four introns and five exons.11,12 A total of 18 polymorphisms in APE1 have been identified.13 But the most extensively studied polymorphism is a T to G transversion, Asp148Glu (rs1130409 and T1349G). It was reported that the Glu was associated with an increased mitotic delay after exposure to ionizing radiation.13,14 Functional studies on APE1 Asp148Glu suggested that the Glu may alter endonuclease and DNA-binding activity, reduce the ability to communicate with other BER proteins, and decrease the capacity to repair DNA oxidative damage.15 In the study on X-ray exposure to lymphocytes and polymorphisms of DNA repair genes on chromosome aberrations, samples from individuals with the Asp/Glu or Glu/Glu genotype showed higher levels of damage with regard to all the studied measures, including aberrant cells, chromatid breaks, chromatid exchanges, deletions, and dicentrics.16 Although numerous epidemiological studies have been conducted to explore the association between APE1 Asp148Glu and the risk of urinary cancers,17–37 the results are to some extent inconsistent, which may be due to the limitations in individual studies. In this study, we combined all the published case–control studies regarding the association between APE1 Asp148Glu and urinary cancers to better explore this genetic variation on the risk of developing urinary cancers.

Materials and methods

Study identification and selection

Case–control studies regarding the APE1 Asp148Glu and the risk of urinary cancers published before September 12, 2015 were included through searches of PubMed and EMBASE by using the following terms and key words: “apurinic endonuclease” or “apyrimidinic endonuclease” or APE1 or APEX or APEX1 or HAP1 or REF-1; polymorphism or variant or variation or mutation; and kidney or renal or urothelial or “transitional cell carcinoma” or bladder or prostatic or prostate. The search was limited to human studies. The criteria used for the study selection were as follows: 1) the articles were concerned about the association between APE1 Asp148Glu and urinary cancers, including prostate cancer, kidney cancer, and bladder cancer; 2) the studies were designed as case–control studies; 3) detailed genotyping data were available; and 4) there were no overlapping data.

Data extraction

Information was carefully extracted from all the eligible studies independently by three investigators according to the selection criteria listed earlier. The following data were collected: first author’s name, publication year, country, ethnicity (categorized as Asians, Caucasians, or the African–Americans), source of controls, genotyping method, numbers of cases and controls, genotype frequency of cases and controls, and the result of Hardy–Weinberg equilibrium (HWE) test. We did not require a minimum number of patients to be included in our meta-analysis.

Quality score assessment

The study quality was assessed by using a quality assessment score developed for genetic association studies by Thakkinstian et al.38 Total scores range from 0 (worst) to 12 (best). The criteria for quality assessment of genetic associations between the APE1 Asp148Glu and urinary cancers are described in Table S1.

Statistical analysis

Data in the control group were used to estimate a pooled allelic prevalence. HWE was tested by chi-squared test (P<0.05 was considered representative of statistical significance). The minor allele frequency was also calculated for the controls. The strength of association between APE1 Asp148Glu and the risk of urinary cancers was measured by odd ratios (ORs) with 95% confidence intervals (CIs). The pooled ORs were calculated for recessive model (Glu/Glu vs Asp/Glu+Asp/Asp), dominant model (Glu/Glu+Asp/Glu vs Asp/Asp), homozygote comparison (Glu/Glu vs Asp/Asp), heterozygote comparison (Asp/Glu vs Asp/Asp) and additive model (Glu vs Asp). Heterogeneity assumption was checked by a chi-square-based Q test, and I2 statistics was calculated to quantify the proportion of the total variation across studies due to heterogeneity.39 A P-value of >0.05 for the Q test indicated a lack of heterogeneity among studies, so that the pooled OR estimate of each study was calculated by the fixed-effects model (the Mantel–Haenszel method).40 Otherwise, the random-effects model (the DerSimonian and Laird method) was used.41 Subgroup analyses were conducted according to ethnicity (ie, Asians, African–Americans, Caucasians), cancer type (ie, all urinary cancers, kidney cancer, prostate cancer, and bladder cancer), genotyping methods (ie, polymerase chain reaction-restriction fragment length polymorphism [PCR-RFLP] and TaqMan), source of control (ie, population based and hospital based), and quality score (score <7 or score ≥7). Sensitivity analyses were performed to test the reliability of results by sequential omission of individual studies.42 Publication bias is the tendency on the parts of investigators, reviewers, and editors to submit or accept manuscripts for publication based on the direction or strength of the study findings.43 An estimate of potential publication bias was carried out by the funnel plot, in which the standard error of log (OR) of each study was plotted against its log (OR). Funnel plot asymmetry was further assessed by the method of Egger’s linear regression test (P<0.05 was considered a significant publication bias).44 Statistical analyses were performed by using STATA statistical software (version 11.0).

Results

Extraction process and study characteristics

The selection process of the studies is presented in Figure 1. In total, 419 potentially relevant articles were identified after the initial search, and 20 of them concentrated on the APE1 Asp148Glu. Also, four additional articles were identified from retrieved articles. Thus, following implementation of our search criteria, we found 24 publications on the association between APE1 Asp148Glu and the risk of urinary cancers.10,17,19–28,30–37,45–48 Among them, eight studies were excluded because of duplicated data or lack of usable data.10,24,26,31,35,45,46,48 Because the two studies by Andrew et al18,25 contain overlapping data and the source of control in one of them25 is mixed, the study by Andrew et al18 was excluded when calculating the pooled OR, while the study by Andrew et al25 was excluded when conducting the subgroup analysis according to the source of controls. Hence, 16 publications including 18 studies (5,539 cases and 7,348 controls) were selected in the meta-analysis. Table 1 lists the studies identified and their main characteristics. Of them, there were ten bladder cancer studies, seven prostate cancer studies, and one kidney cancer study. There were six studies32,33,36,37,47 involving Asians, ten studies with Caucasians,17,19–23,25,27,28,34 and two studies with African–Americans.19,30 The quality of all 18 studies ranged from 3 to 12, with a mean value of 6.9 (standard deviation: 2.18). The distribution of genotypes in the controls of each study was consistent with HWE except for two studies,28,34 which were not included in further pooling (Table 2). The pooled prevalence of the Glu were 0.424 (95% CI=0.393–0.456) in control group, while the pooled prevalence of the Glu among Asians were 0.383 (95% CI=0.311–0.456), Caucasians 0.467 (95% CI=0.454–0.480), and African–Americans 0.354 (95% CI=0.354–0.378).

Figure 1.

Figure 1

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Flow diagram of the studies included in this meta-analysis.

Table 1.

Characteristics of studies included in the meta-analysis

Author Year Quality score Ethnicity Region Cancer type Genotyping Control source Cases/controls
Broberg et al17 2005 6 Caucasian Sweden BC TaqMan PB 61/155
Matullo et al20 2006 3 Caucasian Multiple countries BC TaqMan PB 124/1,094
Wu et al22 2006 9 Caucasian USA BC TaqMan HB 596/590
Terry et al21 2006 6 Caucasian USA BC MALDI–TOF HB 229/207
Chen et al19 2006 6 Caucasian USA PCa PCR-RFLP HB 228/217
Chen et al19 2006 6 African USA PCa PCR-RFLP HB 123/112
Figueroa et al23 2007 7 Caucasian Spain BC TaqMan HB 1,094/1,013
Andrew et al25 2008 8 Caucasian USA/Italy BC SNP mass-tagging system Mixed 911/1,165
Michiels et al27 2009 10 Caucasian France BC Illumina HB 189/316
Narter et al28 2009 4 Caucasian Turkey BC PCR-RFLP NR 75/35
Wang et al32 2010 6 Asian People’s Republic of China BC PCR-RFLP HB 234/253
Lavender et al30 2010 10 African USA PCa TaqMan HB 186/631
Cao et al33 2011 6 Asian People’s Republic of China KC TaqMan HB 612/632
Kuasne et al34 2011 4 Caucasian Brazil PCa PCR-RFLP HB 172/172
Mittal et al36 2012 9 Asian India BC PCR-RFLP and ARMS PB 212/250
Mittal et al36 2012 9 Asian India PCa PCR-RFLP and ARMS PB 195/250
Jing et al37 2013 10 Asian People’s Republic of China PCa PCR-RFLP HB 198/156
Pournourali et al47 2015 6 Asian Iran PCa PCR-RFLP HB 100/100
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Abbreviations: SNP, single nucleotide polymorphism; PCR-RFLP, polymerase chain reaction-restriction fragment length polymorphism; TaqMan, real-time TaqMan analysis; MALDI-TOF, matrix-assisted laser desorption/ionization time-of-flight; ARMS, amplification refractory mutation specific; BC, bladder cancer; PCa, prostate cancer; KC, kidney cancer; PB, population based; HB, hospital based.

Table 2.

Genotype distribution of APE1 Asp148Glu used in the meta-analysis

References Year Ethnicity Cancer type Control source Sample size (case/control) Case (genotype %)
Control (genotype %)
HWE MAF
AA Aa aa AA Aa aa
Broberg et al17 2005 Caucasian BC PB 61 155 9 35 17 37 79 39 0.81 0.51
Matullo et al20 2006 Caucasian BC PB 124 1,094 31 69 24 309 526 259 0.23 0.48
Wu et al22 2006 Caucasian BC HB 596 590 176 283 137 166 279 145 0.20 0.48
Terry et al21 2006 Caucasian BC HB 229 207 51 133 45 63 104 40 0.80 0.44
Chen et al19 2006 Caucasian PCa HB 228 217 65 122 41 73 108 36 0.71 0.41
Chen et al19 2006 African PCa HB 123 112 42 64 17 42 59 11 0.14 0.36
Figueroa et al23 2007 Caucasian BC HB 1,094 1,013 335 510 249 292 491 230 0.39 0.47
Andrew et al25 2008 Caucasian BC Mixed 911 1,165 259 461 191 333 586 246 0.69 0.46
Michiels et al27 2009 Caucasian BC HB 189 316 53 96 40 94 154 68 0.74 0.46
Narter et al28 2009 Caucasian BC NR 75 35 50 14 11 27 4 4 0.00 0.17
Wang et al32 2010 Asian BC HB 234 253 78 116 40 84 129 40 0.41 0.41
Lavender et al30 2010 African PCa HB 186 631 82 88 16 274 269 88 0.10 0.35
Cao et al33 2011 Asian KC HB 612 632 181 292 139 199 329 104 0.10 0.43
Kuasne et al34 2011 Caucasian PCa HB 172 172 84 83 5 106 64 2 0.02 0.20
Mittal et al36 2012 Asian BC PB 212 250 126 82 4 141 92 17 0.71 0.25
Mittal et al36 2012 Asian PCa PB 195 250 108 72 15 136 101 13 0.30 0.25
Jing et al37 2013 Asian PCa HB 198 156 66 98 34 60 73 23 0.92 0.38
Pournourali et al47 2015 Asian PCa HB 100 100 15 60 25 30 50 20 0.92 0.45
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Abbreviations: HWE, Hardy–Weinberg equilibrium; MAF, minor allele frequency; A, major allele; a, minor allele; BC, bladder cancer; PCa, prostate cancer; KC, kidney cancer; PB, population based; HB, hospital based.

Meta-analysis results

Table 3 lists the main results of the meta-analysis for APE1 Asp148Glu. Overall, no significant association was found between Asp148Glu and the risk of urinary cancers (dominant model: OR=1.06, 95% CI=0.98–1.15; Figure 2A). In the stratified analysis by ethnicity, we did not find significant associations among Caucasians (dominant model: OR=1.06, 95% CI=0.96–1.17; Table 3). Similarly, no significant associations were observed among the African–Americans (dominant model: OR=1.02, 95% CI=0.77–1.35; Table 3). However, among Asians, the individuals who carried the Glu/Glu genotype had an increased risk of urinary cancers (recessive model: OR=1.26, 95% CI=1.03–1.54, P=0.022; Table 3, Figure 2B). When stratified by the source of controls, no significant associations were found in both population-based studies and hospital-based studies (Table 3). When stratified by the quality score, no significant association was found in high-quality studies (score ≥7), but a significant increased risk of urinary cancers was observed in lower quality studies (score <7) (dominant model: OR=1.27, 95% CI=1.11–1.45). Subgroup analyses based on cancer type also showed that there was no significant association of bladder cancer. However, significant association was found between Asp148Glu and the risk of prostate cancer (dominant model: OR=1.21, 95% CI=1.03–1.42, Figure 3A; heterozygote comparison: OR=1.12, 95% CI=1.03–1.44, Figure 3B; additive model: OR=1.12, 95% CI=1.00–1.26). Meanwhile, a significant increased risk of prostate cancer was observed among Caucasians (dominant model: OR=1.45, 95% CI=1.08–1.94; heterozygote comparison: OR=1.44, 95% CI=1.06–1.94; additive model: OR=1.26, 95% CI=1.02–1.56) and Asians (homozygote comparison: OR=1.61, 95% CI=1.05–2.46) but not African–Americans.

Table 3.

Stratified analyses of Asp148Glu on the risk of urinary cancers

Genetic model
Recessive model
Dominant model
Homozygote
Heterozygote
Additive model
Asp148Glu Na Glu/Glu vs Asp/Glu+Asp/Asp
Glu/Glu+Asp/Glu vs Asp/Asp
Glu/Glu vs Asp/Asp
Asp/Glu vs Asp/Asp
Glu vs Asp
OR (95% CI) Ph I2 (%) OR (95% CI) Ph I2 (%) OR (95% CI) Ph I2 (%) OR (95% CI) Ph I2 (%) OR (95% CI) Ph I2 (%)
UC 18 (5,539/7,348) 1.03 (0.94–1.13) 0.148 26.2 1.06 (0.98–1.15) 0.176 23.5 1.06 (0.95–1.19) 0.072 34.9 1.07 (0.98–1.16) 0.236 18.2 1.04 (0.98–1.09) 0.173 23.8
Ethnicity
 Caucasian 10 (3,679/4,964) 0.98 (0.88–1.10) 0.952 0 1.06 (0.96–1.17) 0.105 37.9 1.02 (0.89–1.16) 0.678 0 1.08 (0.97–1.19) 0.120 36.0 1.02 (0.96–1.09) 0.303 15.3
 Asian 6 (1,551/1,641) 1.26 (1.03–1.54) 0.085 48.3 1.08 (0.93–1.25) 0.197 31.8 1.25 (0.84–1.84) 0.047 55.5 1.03 (0.89–1.21) 0.260 23.2 1.10 (1.00–1.22) 0.169 35.7
 African 2 (309/743) 0.77 (0.50–1.20) 0.063 71.1 1.02 (0.77–1.35) 0.589 0 1.06 (0.95–1.19) 0.081 67.1 1.09 (0.81–1.46) 0.982 0 0.95 (0.78–1.09) 0.203 38.3
Source of control
 PB 4 (592/1,749) 0.85 (0.67–1.07) 0.114 46.4 1.00 (0.84–1.19) 0.500 0 0.90 (0.69–1.17) 0.079 52.2 1.05 (0.87, 1.26) 0.482 0 0.96 (0.85–1.08) 0.484 0
 HB 12 (3,961/4,399) 1.06 (0.95–1.19) 0.233 21.5 1.08 (0.98–1.19) 0.089 37.9 1.09 (0.96–1.24) 0.099 36.5 1.07 (0.97, 1.18) 0.127 33.0 1.05 (0.99–1.12) 0.113 34.6
Quality score
 ≥7 8 (3,581/4,371) 0.95 (0.85–1.07) 0.152 34.6 0.97 (0.88–1.07) 0.933 0 1.06 (0.95–1.19) 0.072 34.9 0.99 (0.98–1.16) 0.929 0 0.97 (0.91–1.04) 0.173 23.8
 <7 10 (1,958/2,977) 1.20 (1.02–1.41) 0.580 0 1.27 (1.11–1.45) 0.341 11.1 1.37 (1.14–1.66) 0.718 0 1.23 (1.07–1.42) 0.197 26.8 1.17 (1.07–1.28) 0.646 0
BC 10 (3,725/5,078) 0.96 (0.86–1.07) 0.598 0 1.01 (0.92–1.11) 0.407 3.6 0.98 (0.86–1.11) 0.386 6.0 1.03 (0.93–1.14) 0.392 5.3 0.99 (0.93–1.06) 0.636 0
Ethnicity
 Caucasian 8 (3,279/4,575) 0.97 (0.87–1.09) 0.972 0 1.02 (0.92–1.14) 0.269 20.3 0.99 (0.87–1.14) 0.772 0 1.04 (0.93–1.16) 0.226 25.4 1.00 (0.94–1.07) 0.657 0
 Asian 2 (446/503) 0.59 (0.15–2.37) 0.020 81.7 0.94 (0.72–1.22) 0.660 0 0.58 (0.15–2.30) 0.025 80.1 0.98 (0.75–1.30) 0.916 0 0.93 (0.76–1.13) 0.226 31.8
Source of control
 PB 3 (397/1,499) 0.80 (0.63–1.02) 0.161 41.8 1.01 (0.83–1.23) 0.347 9.2 0.84 (0.63–1.12) 0.077 56.2 1.09 (0.89–1.34) 0.433 0 0.94 (0.83–1.07) 0.347 3.7
 HB 5 (2,342/2,379) 0.99 (0.86–1.13) 0.970 0 0.99 (0.87–1.12) 0.292 19.3 0.98 (0.83–1.15) 0.718 0 0.99 (0.91–1.14) 0.262 23.9 0.99 (0.91–1.07) 0.655 0
PCa 7 (1,202/1,638) 1.08 (0.85–1.38) 0.270 21.0 1.21 (1.03–1.42) 0.155 35.8 1.23 (0.94–1.61) 0.127 39.7 1.12 (1.03–1.44) 0.236 25.3 1.12 (1.00–1.26) 0.177 32.9
Ethnicity
 Caucasian 2 (400/389) 1.19 (0.74–1.90) 0.342 0 1.45 (1.08–1.94) 0.350 0 1.42 (0.84–2.39) 0.313 1.7 1.44 (1.06–1.94) 0.410 0 1.26 (1.02–1.56) 0.225 32.0
 Asian 3 (493/506) 1.31 (0.90–1.92) 0.889 0 1.21 (0.93–1.58) 0.070 62.4 1.61 (1.05–2.46) 0.497 0 1.16 (0.88–1.53) 0.063 63.9 1.18 (0.98–1.43) 0.359 2.3
 African 2 (309/743) 0.77 (0.50–1.20) 0.063 71.1 1.02 (0.77–1.35) 0.589 0 0.80 (0.50–1.29) 0.081 67.1 1.09 (0.81–1.46) 0.982 0 0.95 (0.78–1.17) 0.203 38.3
Source of control
 PB 1 (195/250) 1.52 (0.71–3.27) – – 0.96 (0.66–1.40) – – 1.45 (0.66–3.18) – – 0.90 (0.61–1.33) – – 1.04 (0.77–1.41) – –
 HB 6 (1,007/1,388) 1.04 (0.81–1.34) 0.234 26.7 1.27 (1.07–1.52) 0.179 34.3 1.20 (0.91–1.60) 0.081 48.9 1.30 (1.08–1.56) 0.381 5.6 1.14 (1.01–1.29) 0.124 42.1
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Notes: Ph, P-values for heterogeneity from Q test. Random-effects model was used when P-value for heterogeneity test was less than 0.05, otherwise, fixed-effects model was used.

*

N= numbers of comparisons and the sample size (case/control).

Abbreviations: UC, urinary cancers; BC, bladder cancer; PCa, prostate cancer; PB, population based; HB, hospital based.

Figure 2.

Figure 2

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Forest plots of ORs with 95% CI for APE1 Asp148Glu and the risk of urinary cancers observed in subgroup analyses by ethnicity (fixed effects).

Notes: The center of each square represents the OR, the area of the square is the number of sample and thus the weight used in the meta-analysis, and the horizontal line indicates the 95% CI. (A) Dominant model and (B) recessive model.

Abbreviations: CI, confidence interval; ORs, odds ratios.

Figure 3.

Figure 3

Figure 3

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Forest plot of ORs with 95% CI for APE1 Asp148Glu and the risk of prostate cancer in subgroup analyses by ethnicity (fixed effects).

Notes: The center of each square represents the OR, the area of the square is the number of sample and thus the weight used in the meta-analysis, and the horizontal line indicates the 95% CI. (A) Dominant model and (B) heterozygote comparison.

Abbreviations: CI, confidence interval; ORs, odds ratios.

Test of heterogeneity and sensitivity analyses

The heterogeneity test showed that there was no significant heterogeneity in overall comparisons (Table 3). Although the genotype distributions in two studies28,34 did not follow the HWE, the corresponding pooled ORs were not materially altered by including or excluding the studies. Additionally, we also assessed the influence of each individual study on the pooled ORs by sequential omission of individual studies. The results showed that the pooled ORs of this polymorphism were altered by omission of the study by Figueroa et al23 (Figure 4).

Figure 4.

Figure 4

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Sensitivity analyses for the robustness of association between APE1 polymorphism and the risk of urinary cancers.

Note: The vertical line corresponds to the combined relative risk from the fixed effects model.

Abbreviation: CI, confidence interval.

Publication bias

Begg’s funnel plot and Egger’s test were conducted to estimate the publication bias of studies. It was showed that Egger’s test was significant for publication bias in heterozygote comparison (P<0.001), additive model (P=0.04), and dominant model (P=0.001). However, the Egger’s test was not statistically significant for publication bias in recessive model (P=0.893) and homozygote comparison (P=0.237). It suggested that a possibility of publication bias could have existed in the studies.

Discussion

Numerous epidemiological studies have been conducted to explore the association between APE1 Asp148Glu and the risk of urinary cancers.17,19–23,25,27,28,30–34,36,37 However, the results are to some extent inconsistent, which may be due to the limitations in individual studies. Meta-analysis has been widely used in epidemiological research, especially for evaluating genetic polymorphisms in cancer susceptibility. It can improve statistical power, subsequently drawing a more reliable conclusion.49 Therefore, we performed a meta-analysis to explore the association between APE1 Asp148Glu and the risk of urinary cancers. Our results indicated that the individuals who carried the Glu/Glu genotype have an increased risk of urinary cancers among Asians. Meanwhile, significant association was found between Asp148Glu and the risk of prostate cancer.

Several genome-wide association studies have identified susceptibility variants,50–52 providing evidence in support of the role of genetic susceptibility in developing urinary cancers. As for prostate cancer, the prostate carcinogenesis is a result of multiple environmental and hereditary risk factors, and genetic factors play important roles in the development of prostate cancer.53 Functional studies on APE1 Asp148Glu suggested that the Glu may alter endonuclease and DNA-binding activity, reduce the ability to communicate with other BER proteins, and decrease the capacity to repair DNA oxidative damage.15 In the study on X-ray exposure to lymphocytes and polymorphisms of DNA repair genes on chromosome aberrations, samples from individuals with the Asp/Glu or Glu/Glu genotype showed higher levels of damage with regard to all the studied measures, including aberrant cells, chromatid breaks, chromatid exchanges, deletions, and dicentrics.16

The combined results based on all the studies showed that no significant association was found between Asp148Glu and the risk of urinary cancers. Meanwhile, no significant associations were observed among Caucasians and African–Americans. However, a significant association was found among Asians. The discrepancy suggested a possible role of ethnic difference in genetic background and the environment. The same polymorphisms play different roles in cancer susceptibility among different ethnic populations, because cancer is a complicated multi-genetic disease, and different genetic background may contribute to the discrepancy.54 Meanwhile, when stratified by the quality score, no significant association was found in high-quality studies (score ≥7) but a significant increased risk of urinary cancers risk was observed in lower quality studies (score <7). The combined results based on all the high-quality studies further supported the previous conclusion that no significant association was found between Asp148Glu and the risk of urinary cancers.

One recent meta-analysis by Liu et al46 estimated the association between Asp148Glu and the risk of bladder cancer, which was basically in accordance with our opinion that Asp148Glu may not contribute to the susceptibility to bladder cancer. However, another published meta-analysis by Zhou et al48 showed that no significant association was found between Asp148Glu and the risk of prostate cancer, which is contrast with our results. One possible explanation of the contrast may be that different studies were included in the meta-analysis. As shown in the selection process of the studies, we mentioned that the studies by Mandal et al35 and Mittal et al36 were reported from the same organization. Actually, these two studies may contain partial overlapping data when carefully reading the full texts, and only the larger study36 should be selected for the analysis. However, the meta-analysis by Zhou et al48 included the studies by Mandal et al35 and Mittal et al,36 which might be biased by not taking into account the effects of overlapping data. Meanwhile, the study by Zhou et al48 was not included in the previous meta-analysis. Thus, the results of our meta-analysis are more accurate and reliable. However, in our meta-analysis, only two or three studies on prostate cancer were available for each specific ethnicity, and they had limited sample size; hence, larger studies are needed to explore the association between Asp148Glu and prostate cancer risk among Africans, Asians, and Caucasians.

Some limitations of our meta-analysis should be considered. First, the number of published studies included in our meta-analysis was not large enough for subgroup analyses by ethnicity and cancer type. Second, our results were unadjusted estimates because of lack of detailed data, such as age, sex, and environmental factors in the studies included. Third, some inevitable publication bias might exist in the results because only published studies were available to be included.

Conclusion

Our meta-analysis suggests that Asp148Glu was not associated with the risk of urinary cancers but might increase the risk of urinary cancers among Asians. Stratification by cancer type identified a significant association of Asp148Glu with prostate cancer. Additional larger studies, stratified by gene–gene and gene–environmental interactions, are needed to further explore the association between Asp148Glu and the susceptibility to urinary cancers.

Supplementary material

Table S1.

Criteria for quality assessment of genetic associations of the APE1 Asp148Glu polymorphism with the risk of urinary cancers

Criteria Quality score
Representativeness of cases
A. Consecutive/randomly selected from case population with clearly defined random frame 2
B. Consecutive/randomly selected from case population without clearly defined random frame or with extensive inclusion criteria 1
C. Method of selection not described 0
Representativeness of controls
D. Controls were consecutive/randomly drawn from the same area (ward/community) as cases with the same criteria 2
E. Controls were consecutive/randomly drawn from a different area than cases 1
F. Not described 0
Ascertainment of cancer cases
G. Clearly described objective criteria for diagnosis of cancer 1
H. Not described 0
Ascertainment of controls
I. Clinical examinations were performed on controls to prove that controls did not have cancer 2
J. Article merely stated that controls were subjects who did not have cancer; no proof provided 1
K. Not described 0
Ascertainment of genotyping examination
L. Genotyping done under “blind” conditions 1
M. Unblended or not mentioned 0
Test for Hardy–Weinberg equilibrium
N. Hardy–Weinberg equilibrium in control group 2
O. Hardy–Weinberg disequilibrium in control group 1
P. Hardy–Weinberg equilibrium not checked 0
Association assessment
Q. Assessed association between genotypes and cancer with appropriate statistic and adjusting confounders 2
R. Assessed association between genotypes and cancer with appropriate statistic without adjusting confounders 1
S. Inappropriate statistic used 0
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Acknowledgments

This work was supported by the Program of the Pearl River Young Talents of Science and Technology in Guangzhou, People’s Republic of China (2013J2200042), National Natural Science Foundation of China (81201565, 81101536), and Natural Science Foundation of Guangdong Province, People’s Republic of China (S2012010009404).

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1.

Criteria for quality assessment of genetic associations of the APE1 Asp148Glu polymorphism with the risk of urinary cancers

Criteria Quality score
Representativeness of cases
A. Consecutive/randomly selected from case population with clearly defined random frame 2
B. Consecutive/randomly selected from case population without clearly defined random frame or with extensive inclusion criteria 1
C. Method of selection not described 0
Representativeness of controls
D. Controls were consecutive/randomly drawn from the same area (ward/community) as cases with the same criteria 2
E. Controls were consecutive/randomly drawn from a different area than cases 1
F. Not described 0
Ascertainment of cancer cases
G. Clearly described objective criteria for diagnosis of cancer 1
H. Not described 0
Ascertainment of controls
I. Clinical examinations were performed on controls to prove that controls did not have cancer 2
J. Article merely stated that controls were subjects who did not have cancer; no proof provided 1
K. Not described 0
Ascertainment of genotyping examination
L. Genotyping done under “blind” conditions 1
M. Unblended or not mentioned 0
Test for Hardy–Weinberg equilibrium
N. Hardy–Weinberg equilibrium in control group 2
O. Hardy–Weinberg disequilibrium in control group 1
P. Hardy–Weinberg equilibrium not checked 0
Association assessment
Q. Assessed association between genotypes and cancer with appropriate statistic and adjusting confounders 2
R. Assessed association between genotypes and cancer with appropriate statistic without adjusting confounders 1
S. Inappropriate statistic used 0
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