Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Lack of an Association between Two BER Gene Polymorphisms and Breast Cancer Risk: A Meta-Analysis

  • Bian Wu ,

    wg1893@hotmail.com

    Affiliation Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

  • Hong-Li Liu,

    Affiliation Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

  • Sheng Zhang,

    Affiliation Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

  • Xiao-Rong Dong,

    Affiliation Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

  • Gang Wu

    Affiliation Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Lack of an Association between Two BER Gene Polymorphisms and Breast Cancer Risk: A Meta-Analysis

  • Bian Wu, 
  • Hong-Li Liu, 
  • Sheng Zhang, 
  • Xiao-Rong Dong, 
  • Gang Wu
PLOS
x

Abstract

Background

The base excision repair (BER) pathway removes DNA damage caused by ionizing radiation, reactive oxidative species and methylating agents. ADPRT and APE1 are two important genes in the BER pathway. Several studies have evaluated the association between polymorphisms in the two BER genes (ADPRT Val762Ala and APE1 Asp148Glu) and breast cancer risk. However, the results are inconsistent.

Methodology/Principal Findings

In this study, we conducted a meta-analysis to derive a more precise estimation. A total of 8 studies were included in the meta-analysis (6 studies with 2,521 cases and 2,652 controls for ADPRT Val762Ala polymorphism and 5 studies with 2,539 cases and 2,572 controls for APE1 Asp148Glu polymorphism). For ADPRT Val762Ala polymorphism, no obvious associations were found for all genetic models (Val/Ala vs. Val/Val: OR = 0.960, 95% CI = 0.845–1.090; Ala/Ala vs. Val/Val: OR = 0.897, 95% CI = 0.683–1.178; dominant model: OR = 0.953, 95% CI = 0.843–1.077; and recessive model: OR = 1.084, 95% CI = 0.838–1.403). For APE1 Asp148Glu polymorphism, also no obvious associations were found for all genetic models (Asp/Glu vs. Asp/Asp: OR = 0.947, 95% CI = 0.829–1.082; Glu/Glu vs. Asp/Asp: OR = 0.958, 95% CI = 0.813–1.129; dominant model: OR = 0.946, 95% CI = 0.835–1.072; and recessive model: OR = 1.004, 95% CI = 0.873–1.155). In the subgroup analysis by ethnicity or study design, still no obvious associations were found.

Conclusions/Significance

This meta-analysis indicates that ADPRT Val762Ala and APE1 Asp148Glu polymorphisms are not associated with increased breast cancer risk.

Introduction

Breast cancer is currently the most common cancer and one of the main causes of cancer-related death in the world, which has become a major public health challenge [1]. It is a multifactorial disease caused by complex genetic and environmental factors [2]. Genetic variation in DNA repair genes can cause altered DNA repair function, resulting in accumulation of DNA damage, followed by cell apoptosis or unregulated cell growth and cancer. Individual variations in DNA damage and repair have been associated with breast cancer susceptibility and highlight the importance of DNA damage/repair in the development of the disease. Among DNA repair systems, the base excision repair (BER), which is an important pathway responsible for the repair of base damage and single strand breaks caused by X-rays, oxygen radicals, and alkylating agents, has been associated with risk of cancers [3][6].

The BER pathway consists of at least 11 DNA damage specific glycosylases and more than 20 further proteins [7]. Two of the most important proteins are adenosine diphosphate ribosyl transferase (ADPRT) and apurinic/apyrimidine endouclease 1 (APE1). ADPRT, also called poly (adenosine diphosphate-ribose) polymerase-1 (PARP-1), specifically binds to DNA strand breaks and recruits XRCC1-Lig3α complex, which is crucial to stimulating and executing the BER pathway [8], [9]. APE1 is the rate-limiting enzyme in the BER process and responsible for the repair of DNA and protecting cells against the effect of endogenous and exogenous agents [6], [10]. It cleaves 5 of DNA abasic sugar residues generated from exogenous factors, such as ionizing radiation and environmental carcinogens, as well as endogenous agents from normal cellular metabolism [11].

Several original studies have investigated the association between ADPRT Val762Ala and APE1 Asp148Glu polymorphisms and risk of breast cancer, but the results remain inconsistent, partially due to insufficient power in each of published studies which have been based on relatively small sample sizes. To explore a more precise estimation of the association between the two polymorphisms and risk of breast cancer, a meta-analysis was performed.

Methods

Search strategy

A literature search of Pubmed and Embase (updated to 2011/08/01) was conducted without a language limitation, using the following keywords and subject terms: “ADPRT or PARP1”, “APE1 or APEX1”, “polymorphism”, and “breast”. All searched studies were retrieved, and their bibliographies were checked for other relevant publications. Review articles and bibliographies of other relevant studies identified were hand-searched to find additional eligible studies. Only published studies with full text articles were included. When more than one of the same patient population was included in several publications, only the most recent or complete study was used in this meta-analysis. If necessary, we attempted to contact the corresponding authors of retrieved articles to acquire additional information.

Inclusion criteria

The following criteria were used for the study selection: (1) evaluation of the polymorphism and breast cancer risk; (2) study designed as case-control; and (3) sufficient published data for calculating odds ratios (OR) with their 95% confidence interval (95% CI).

Date extraction

Information was carefully extracted from all eligible publications independently by two investigators according to the inclusion criteria listed above. For conflicting evaluation, an agreement was reached following discussion. For each study, the following characteristics were collected: first author's name, year of publication, ethnicity, study design (control source and matching), genotyping results of cases and controls. We did not define any minimum number of patients to include in our meta-analysis.

Statistical analysis

A statistical test for heterogeneity was performed based on the Q test and I2 test. If the P value is greater than 0.10 for the Q test which indicates a lack of heterogeneity among studies, the pooled OR estimate of the each study was calculated by the fixed-effects model (the Mantel–Haenszel method) [12]. Otherwise, the random-effects model (the DerSimonian and Laird method) was used [13]. The value of the I index is used to assess the degree of heterogeneity (I2<25%: no heterogeneity; 25%<I2<50%: moderate heterogeneity; 50%<I2<75%: high heterogeneity; I2>75%: extreme high heterogeneity). Subgroup analyses were performed by ethnicity and study design. Sensitivity analyses were also performed to identify the influence of the individual studies on the combined OR. Hardy-Weinberg equilibrium (HWE) was tested by the χ2 (P<0.05 was considered representative of statistical significance). The minor allele frequency (MAF) was also calculated for the controls. Publication bias was assessed by performing funnel plots qualitatively, and estimated by Egger's test (P<0.1 was considered representative of statistical significance) [14]. All the statistical analyses were done using STATA version 11 (StataCorp LP, College Station, Texas, USA).

Results

Study characteristics

A total of 22 articles were achieved by literature search from PubMed and EMBASE. As shown in Figure 1, 11 eligible studies were retrieved for detailed evaluation. We excluded four studies (two with duplicated results, one not focus on ADPRT Val762Ala and APE1 Asp148Glu, and one with lack of usable data). Finally, a total of 7 studies fulfilling the inclusion criteria were identified [15][21]. In one of these studies, the genotype frequencies were presented separately according to Caucasian study and African-American study, and thus each study in the literature was considered separately for meta-analysis. Therefore, a total of 8 studies were included in the meta-analysis with 2521 cases and 2652 controls for ADPRT Val762Ala polymorphism and with 2539 cases and 2572 controls for APE1 Asp148Glu polymorphism. The studies identified and their main characteristics are summarized in Table 1 and Table 2. All studies indicated that the distribution of genotypes in controls was in agreement with HWE and the minor allele frequencies (MAFs) were also calculated for the controls (all were greater than 0.05 except one group) (Tables 2).

thumbnail
Table 1. Characteristics of studies included in the meta-analysis for ADPRT and APE1.

https://doi.org/10.1371/journal.pone.0050857.t001

thumbnail
Table 2. Distribution of ADPRT and APE1 genotype among breast cancer of cases and controls in the meta-analysis.

https://doi.org/10.1371/journal.pone.0050857.t002

Meta analysis

As shown in Table 3, the results showed no significant association between ADPRT Val762Ala polymorphism and breast cancer risk (OR = 0.960, 95% CI = 0.845–1.090 for Val/Ala vs. Val/Val; OR = 0.897, 95% CI = 0.683–1.178 for Ala/Ala vs. Val/Val; OR = 0.953, 95% CI = 0.843–1.077 for dominant model; OR = 1.084, 95% CI = 0.838–1.403 for recessive model) (Figure 2). In the subgroup analysis by ethnicity or study design, the differences between the allele, homozygote, recessive, and dominant models were insignificant in the Caucasian women.

thumbnail
Figure 2. Forest plots for meta-analysis of the association between ADPRT Val762Ala polymorphism and breast cancer risk.

A: Val/Ala vs. Val/Val; B: Ala/Ala vs. Val/Val; C: Dominant model; D: Recessive model.

https://doi.org/10.1371/journal.pone.0050857.g002

thumbnail
Table 3. Summary ORs and 95% CI of the association between polymorphisms in the two BER genes (ADPRT Val762Ala and APE1 Asp148Glu) and breast cancer risk.

https://doi.org/10.1371/journal.pone.0050857.t003

The associations between APE1 Asp148Glu and breast cancer risk are also shown in Table 3. The results indicated no relationship of APE1 Asp148Glu polymorphism with breast cancer risk (OR = 0.947, 95% CI = 0.829–1.082 for Asp/Glu vs. Asp/Asp; OR = 0.958, 95% CI = 0.813–1.129 for Glu/Glu vs. Asp/Asp; OR = 0.946, 95% CI = 0.835–1.072 for dominant model; OR = 1.004, 95% CI = 0.873–1.155 for recessive model) (Figure 3). In the Caucasians or the matched studies, no associations were found between the allele, homozygote, recessive, and dominant models.

thumbnail
Figure 3. Forest plots for meta-analysis of the association between APE1 Asp148Glu polymorphism and breast cancer risk.

A: Asp/Glu vs. Asp/Asp; B: Glu/Glu vs. Asp/Asp; C: Dominant model; D: Recessive model.

https://doi.org/10.1371/journal.pone.0050857.g003

Sensitivity analysis

Sensitivity analysis was carried out by deleting any single study each time. The pooled ORs were not significantly altered (data not shown), indicating that the results were robust.

Publication bias

Funnel plots and Egger's test were performed to assess potential publication bias of the literatures. The shape of the funnel plots showed that the dots nearly symmetrically distributed, predominantly within pseudo 95% confidence limits (Figure 4) and Egger's test suggested that no publication bias was detected in any comparison model (P>0.1).

thumbnail
Figure 4. Funnel plot of publication bias for ADPRT Val762Ala and APE1 Asp148Glu polymorphism with breast cancer risk.

Note: Funnel plot with pseudo 95% confidence limits was used. A: Funnel plot of publication bias for ADPRT (Val/Ala vs. Val/Val); B: Funnel plot of publication bias for APE1 (Asp/Glu vs. Asp/Asp).

https://doi.org/10.1371/journal.pone.0050857.g004

Discussion

An increasing number of articles on genetic association studies, genome-wide association studies (GWASs), and relate meta-analyses have been published to clarify the association between gene polymorphisms and breast cancer [22]. To the best of our knowledge, this is the first meta-analysis carried out to access the role of ADPRT Val762Ala and APE1 Asp148Glu polymorphisms in breast cancer. The findings suggested that the two BER pathway genes polymorphisms were not significantly associated with breast cancer risk. In subgroup analysis, no significant association was observed in sub-populations.

ADPRT plays an important part in DNA repair and cellular stress response. Its role in single-strand breaks through the BER pathway has been studied [22]. ADPRT Val762Ala substitution located within the COOH-terminal catalytic domain [23]. The functional relevance of this variant remains inconsistent. Several case-control studies showed significant associations between Val762Ala polymorphism and prostate and lung cancer risk [24], [25]. In contrast, others have reported that Val762Ala polymorphism was associated with reduced risk of non-Hodgkin lymphoma and squamous cell carcinoma [26], [27]. In this meta-analysis, we involved a total of 2,521 cases and 2,652 controls, no significant effects were observed between the allele, homozygote, recessive, and dominant models. The discrepancies between published studies might be due to different disease mechanism and/or carcinogen exposure in different populations, and study sample size. It is possible that ADPRT variant genotypes may be tissue-specific. Some studies have shown high or low ADPRT expression levels in different tumor tissues [28], [29], indicating ADPRT may play different roles in different types of tumors,

The APE1 Asp148Glu is the most extensively studied polymorphism in APE1. A study showed that APE1 Asp148Glu had no impact on endonuclease and DNA binding activities [30]. However, others have reported that the Glu allele was significantly associated with prolonged cell cycle delay in G2 phase and decreased DNA repair capacity after irradiation [31], [32]. Our results found no relationship between APE1 Asp148Glu polymorphism and breast cancer risk. In the subgroup analysis, significant risks were also not found among Caucasians and individually matched studies. One factor that would contribute to the discrepancy between different studies is that this polymorphism might play a different role in different cancer sites. A recent meta-analysis found a significantly increased risk of lung cancer among smokers in APE1 Glu allele carriers suggesting that there could be an interaction between cigarette smoking and APE1 Glu allele [33]. Another previous meta-analysis showed that the Glu allele may be a risk factor for colorectal cancer but not for other cancers, but the results should be explained with caution with limited sample size (3 studies for colorectal cancer) [34].

Some limitations might be included in the meta-analysis. First, although we collected all the eligible studies, the sample size of the included studies was not large enough, which could decrease the statistical power to better evaluate the association between the two gene polymorphisms and breast cancer susceptibility. Second, the overall outcomes were based on unadjusted estimates, while a more precise evaluation should be adjusted by other co-variants including age, body mass index, menopausal status, ethnicity, smoking status, alcohol consumption, and environment factors if individual data were available. Third, most of the included studies had conducted on Caucasians, and a few on Asians and Africans. Thus, more samples should be collected from Asians and Africans. Fourth, the genotyping method and the select criteria of controls in the studies were different. Finally, case-control studies with small sample size (<100 cases or 100 controls) might be reporting inflated ORs.

In conclusion, this meta-analysis suggests that ADPRT Val762Ala and APE1 Asp148Glu polymorphisms may not contribute to breast cancer risk. Large-sample studies of different ethnic groups with carefully matched cases and controls are needed to clarify the role of the two gene polymorphisms in the BER pathway and breast cancer susceptibility in the future.

Author Contributions

Conceived and designed the experiments: BW GW. Performed the experiments: HLL. Analyzed the data: BW XRD. Contributed reagents/materials/analysis tools: BW SZ. Wrote the paper: BW XRD GW.

References

  1. 1. Parkin DM, Bray F, Ferlay J, Pisani P (2005) Global cancer statistics, 2002. CA Cancer J Clin 55: 74–108.
  2. 2. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, et al. (2000) Environmental and heritable factors in the causation of cancer–analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 343: 78–85.
  3. 3. Goode EL, Ulrich CM, Potter JD (2002) Polymorphisms in DNA repair genes and associations with cancer risk. Cancer Epidemiol Biomarkers Prev 11: 1513–1530.
  4. 4. Hoeijmakers JH (2001) Genome maintenance mechanisms for preventing cancer. Nature 411: 366–374.
  5. 5. Johnson-Thompson MC, Guthrie J (2000) Ongoing research to identify environmental risk factors in breast carcinoma. Cancer 88: 1224–1229.
  6. 6. Wood RD, Mitchell M, Sgouros J, Lindahl T (2001) Human DNA repair genes. Science 291: 1284–1289.
  7. 7. Mohrenweiser HW, Wilson DM 3rd, Jones IM (2003) Challenges and complexities in estimating both the functional impact and the disease risk associated with the extensive genetic variation in human DNA repair genes. Mutat Res 526: 93–125.
  8. 8. Caldecott KW, Aoufouchi S, Johnson P, Shall S (1996) XRCC1 polypeptide interacts with DNA polymerase beta and possibly poly (ADP-ribose) polymerase, and DNA ligase III is a novel molecular ‘nick-sensor’ in vitro. Nucleic Acids Res 24: 4387–4394.
  9. 9. El-Khamisy SF, Masutani M, Suzuki H, Caldecott KW (2003) A requirement for PARP-1 for the assembly or stability of XRCC1 nuclear foci at sites of oxidative DNA damage. Nucleic Acids Res 31: 5526–5533.
  10. 10. Ramana CV, Boldogh I, Izumi T, Mitra S (1998) Activation of apurinic/apyrimidinic endonuclease in human cells by reactive oxygen species and its correlation with their adaptive response to genotoxicity of free radicals. Proc Natl Acad Sci U S A 95: 5061–5066.
  11. 11. Barzilay G, Hickson ID (1995) Structure and function of apurinic/apyrimidinic endonucleases. Bioessays 17: 713–719.
  12. 12. Mantel N, Haenszel W (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22: 719–748.
  13. 13. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7: 177–188.
  14. 14. Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315: 629–634.
  15. 15. Zhang Y, Newcomb PA, Egan KM, Titus-Ernstoff L, Chanock S, et al. (2006) Genetic polymorphisms in base-excision repair pathway genes and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 15: 353–358.
  16. 16. Zhai X, Liu J, Hu Z, Wang S, Qing J, et al. (2006) Polymorphisms of ADPRT Val762Ala and XRCC1 Arg399Glu and risk of breast cancer in Chinese women: a case control analysis. Oncol Rep 15: 247–252.
  17. 17. Cao WH, Wang X, Frappart L, Rigal D, Wang ZQ, et al. (2007) Analysis of genetic variants of the poly(ADP-ribose) polymerase-1 gene in breast cancer in French patients. Mutat Res 632: 20–28.
  18. 18. Durocher F, Labrie Y, Ouellette G, Simard J (2007) Genetic sequence variations and ADPRT haplotype analysis in French Canadian families with high risk of breast cancer. J Hum Genet 52: 963–977.
  19. 19. Sangrajrang S, Schmezer P, Burkholder I, Waas P, Boffetta P, et al. (2008) Polymorphisms in three base excision repair genes and breast cancer risk in Thai women. Breast Cancer Res Treat 111: 279–288.
  20. 20. Smith TR, Levine EA, Freimanis RI, Akman SA, Allen GO, et al. (2008) Polygenic model of DNA repair genetic polymorphisms in human breast cancer risk. Carcinogenesis 29: 2132–2138.
  21. 21. Jelonek K, Gdowicz-Klosok A, Pietrowska M, Borkowska M, Korfanty J, et al. (2010) Association between single-nucleotide polymorphisms of selected genes involved in the response to DNA damage and risk of colon, head and neck, and breast cancers in a Polish population. J Appl Genet 51: 343–352.
  22. 22. Fisher AE, Hochegger H, Takeda S, Caldecott KW (2007) Poly(ADP-ribose) polymerase 1 accelerates single-strand break repair in concert with poly(ADP-ribose) glycohydrolase. Mol Cell Biol 27: 5597–5605.
  23. 23. Cottet F, Blanche H, Verasdonck P, Le Gall I, Schachter F, et al. (2000) New polymorphisms in the human poly(ADP-ribose) polymerase-1 coding sequence: lack of association with longevity or with increased cellular poly(ADP-ribosyl)ation capacity. J Mol Med (Berl) 78: 431–440.
  24. 24. Lockett KL, Hall MC, Xu J, Zheng SL, Berwick M, et al. (2004) The ADPRT V762A genetic variant contributes to prostate cancer susceptibility and deficient enzyme function. Cancer Res 64: 6344–6348.
  25. 25. Zhang X, Miao X, Liang G, Hao B, Wang Y, et al. (2005) Polymorphisms in DNA base excision repair genes ADPRT and XRCC1 and risk of lung cancer. Cancer Res 65: 722–726.
  26. 26. Jin XM, Kim HN, Lee IK, Park KS, Kim HJ, et al. (2010) PARP-1 Val762Ala polymorphism is associated with reduced risk of non-Hodgkin lymphoma in Korean males. BMC Med Genet 11: 38.
  27. 27. Li C, Hu Z, Lu J, Liu Z, Wang LE, et al. (2007) Genetic polymorphisms in DNA base-excision repair genes ADPRT, XRCC1, and APE1 and the risk of squamous cell carcinoma of the head and neck. Cancer 110: 867–875.
  28. 28. Ghabreau L, Roux JP, Frappart PO, Mathevet P, Patricot LM, et al. (2004) Poly(ADP-ribose) polymerase-1, a novel partner of progesterone receptors in endometrial cancer and its precursors. Int J Cancer 109: 317–321.
  29. 29. Bieche I, de Murcia G, Lidereau R (1996) Poly(ADP-ribose) polymerase gene expression status and genomic instability in human breast cancer. Clin Cancer Res 2: 1163–1167.
  30. 30. Hadi MZ, Coleman MA, Fidelis K, Mohrenweiser HW, Wilson DM 3rd (2000) Functional characterization of Ape1 variants identified in the human population. Nucleic Acids Res 28: 3871–3879.
  31. 31. Hu JJ, Smith TR, Miller MS, Mohrenweiser HW, Golden A, et al. (2001) Amino acid substitution variants of APE1 and XRCC1 genes associated with ionizing radiation sensitivity. Carcinogenesis 22: 917–922.
  32. 32. Hu JJ, Smith TR, Miller MS, Lohman K, Case LD (2002) Genetic regulation of ionizing radiation sensitivity and breast cancer risk. Environ Mol Mutagen 39: 208–215.
  33. 33. Ji YN, Zhan P, Wang J, Qiu LX, Yu LK (2011) APE1 Asp148Glu gene polymorphism and lung cancer risk: a meta-analysis. Mol Biol Rep 38: 4537–4543.
  34. 34. Gu D, Wang M, Zhang Z, Chen J (2009) The DNA repair gene APE1 T1349G polymorphism and cancer risk: a meta-analysis of 27 case-control studies. Mutagenesis 24: 507–512.