Poly (ADP-ribose) polymerase-1 (PARP-1) plays critical roles in the detection and repair of damaged DNA, as well as cell proliferation and death. Numerous studies have examined the associations between PARP1 Val762Ala (rs1136410 T>C) polymorphism and cancer susceptibility; nevertheless, the findings from different research groups remain controversial.
We searched literatures from MEDLINE, EMBASE and CBM pertaining to such associations, and then calculated pooled odds ratio (OR) and 95% confidence interval (CI) by using random-effects model. The false-positive report probability (FPRP) analysis was used to confirm the validity of significant findings. Moreover, potential effects of rs1136410 variants on PARP1 mRNA expression were analyzed for three ethnicities by combining data from HapMap (genotype) and SNPexp (mRNA expression).
The final meta-analysis incorporated 43 studies, consisting of 17,351 cases and 22,401 controls. Overall, our results did not suggest significant associations between Ala variant (Ala/Ala or Ala/Val genotype) and cancer risk. However, further stratification analysis showed significantly increased risk for gastric cancer (Ala/Ala vs. Val/Val: OR = 1.56, 95% CI = 1.01–2.42, Ala/Val vs. Val/Val: OR = 1.34, 95% CI = 1.14–1.58, dominant model: OR = 1.41, 95% CI = 1.21–1.65 and Ala vs. Val: OR = 1.29, 95% CI = 1.07–1.55). On the contrary, decreased risk for brain tumor (Ala/Val vs. Val/Val: OR = 0.77, 95% CI = 0.68–0.87, dominant model: OR = 0.77, 95% CI = 0.68–0.87 and Ala vs. Val: OR = 0.82, 95% CI = 0.74–0.91). Additionally, we found that the Ala carriers had a significantly increased risk in all models for Asians. Our mRNA expression data provided further biological evidence to consolidate this finding.
Citation: Hua R-X, Li H-P, Liang Y-B, Zhu J-H, Zhang B, Ye S, et al. (2014) Association between the PARP1 Val762Ala Polymorphism and Cancer Risk: Evidence from 43 Studies. PLoS ONE 9(1): e87057. https://doi.org/10.1371/journal.pone.0087057
Editor: Balraj Mittal, Sanjay Gandhi Medical Institute, India
Received: October 24, 2013; Accepted: December 18, 2013; Published: January 28, 2014
Copyright: © 2014 Hua et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was supported by grants from the Science and Technology Projects Foundation of Guangdong Province (No. 2012B031800501) and Natural Science Foundation of Guangdong Province (No. S2012010008827 and No. S2011010005282). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The global burden of cancer keeps rising, mainly due to aging and growth of the populations throughout the world, cancer-causing behaviors such as smoking and drinking, as well as environment pollution. As a result, cancer has been recognized as one of the leading cause of death worldwide now. According to the estimation of GLOBOCAN, approximately 12.7 million new cases and 7.6 million deaths of cancer had occurred in 2008. It's noteworthy that about 56% of new cases and 63% of deaths took place in the economically developing countries . The cancer survival tends to be poorer in the developing countries than in the developed countries, most likely due to late stage at diagnosis combined with limited access to timely and standard treatment. The burden of cancer can be largely lessened through the application of early detection and treatment, tobacco control, vaccine injection, healthier dietary intake and so on . Cancer can be initiated by DNA damage caused by exposure to a variety of environmental agents, including UV, ionizing radiation, genotoxic chemicals and products derived from oxidative respiration as well as products of lipid peroxidation that can cause DNA structure alterations. However, the incidence of cancer is relatively low, since humans have developed a set of DNA repair systems to safeguard the integrity of genome by repairing harmful DNA damage. Therefore, DNA repair capacity plays important roles in maintaining the stability and integrity of human genome .
In humans, there exist at least four DNA repair pathways, composed of over 130 genes. One of the four pathways, base excision repair (BER) pathway, is responsible for the repair of damaged DNA resulting from exposure to various endogenous and exogenous carcinogens. This pathway primarily removes incorrect and damaged bases, and can specifically remove methylated, oxidized, or reduced single base pair alterations . It has been verified that numerous proteins are involved in the BER pathway, one of which is poly (ADP-ribose) polymerase family member 1 (PARP1) that is also known as adenosine diphosphate ribosyl transferase (ADPRT) .
The PARP1 gene lies in chromosome 1q41-q42, encoding a 113 KDa zinc-finger DNA binding protein—poly (ADP ribosyl) transferase, which can modify various nuclear proteins by poly (ADP-ribosyl)ation . Genetic variations in DNA repair genes can modulate DNA repair capacity to result in accumulation of DNA damage, consequently leading to programmed cell death or unregulated cell growth and cancer . There are at least 1287 reported single nucleotide polymorphisms (SNPs) within the PARP1 gene, including 202 coding-region single nucleotide polymorphisms (cSNPs). Among all cSNPs of the PARP1 gene, one of the most investigated SNP is Val762Ala polymorphism (rs1136410 T>C) with minor allele frequency (MAF) >0.05. The very SNP is located in the sixth helix of the catalytic domain, and can cause Val to Ala amino acid substitution at codon 762 of exon 17. Previous studies demonstrated that the PARP1 Val762Ala polymorphism was related to functional alteration of PARP1, and the Ala allele could significantly reduce poly (ADP-ribosyl)ation activities of PARP1 in an allele dosage-dependent manner . To date, many studies have explored the association between PARP1 Val762Ala polymorphism and caner risk –; however, the results were inconsistent. The discrepancies among studies may be ascribed to the facts that sample size in each publication was probably relatively small, and that conclusions might have been drawn from different ethnic groups. Hence, we performed the present updated meta-analysis with addition of newly published studies on such association to further elucidate the role of the PARP1 Val762Ala polymorphism in cancer susceptibility.
Materials and Methods
Literature search strategy
We first searched literatures from MEDLINE and EMBASE using the following terms “PARP or PARP1 or PARP-1 or poly (ADP-ribose) polymerase 1 or ADPRT or ADPRT1 or ADPRT 1”; “polymorphism or variant or variation”; “cancer or carcinoma or tumor or neoplasia” (the last search update on July 28, 2013). We also searched publications written in Chinese from Chinese Biomedical (CBM) database (http://cbmwww.imicams.ae.cn/cbmbin) (1978–) using the combinations terms of “PARP1”, “polymorphism” and “cancer” in Chinese to expand the coverage of our current study. Additional relevant studies in the references, such as review articles, original studies were also manually searched. We only included studies with full texts available. Only the latest study or studies with the largest sample size were included in our final meta-analysis to avoid duplication or overlapping data.
Selection and exclusion criteria
Studies included had to meet the following criteria: evaluate the association between PARP1 Val762Ala polymorphism and cancer risk; case-control study design; sufficient information for estimating odds ratios (ORs) and their 95% confidence intervals (CIs); independent from other studies; written in English or Chinese; additionally, genotype frequencies data in the controls for Val762Ala departure from Hardy-Weinberg equilibrium (HWE) without further evidence from other SNPs were excluded in the our final analysis.
Two authors (Rui-Xi Hua and He-Ping Li) independently extracted the following information from each study: the first authors' surname, year of publication, country of origin, ethnicity, cancer type, control source, genotyping methods, total numbers of cases and controls, numbers of cases and controls with the Val/Val, Val/Ala, and Ala/Ala genotypes for PARP1 Val762Ala polymorphism, minor allele frequency (MAF), P value for HWE, and disagreement was resolved by discussions by these two author until consensus was reached. For studies including subjects of different racial descents, data were extracted separately for each ethnic group (categorized as Asian or Caucasian or African).
Genotype and gene expression correlation analysis
The genotype and mRNA expression levels data for PARP1 Val762Ala (rs1136410 T>C) were available from HapMap (http://hapmap.ncbi.nlm.nih.gov/) and SNPexp (http://app3.titan.uio.no/biotools/tool.php?app=snpexp), respectively, as described previously –. The genotype data for PARP1 Val762Ala were retrieved from the HapMap phase II release 23 data set, which consist a total of 3.96 million SNP genotypes derived from 270 individuals of three ethnicities. The mRNA expression data were obtained by performing genome-wide expression arrays for EBV-transformed lymphoblastoid cell lines that were derived from the same 270 individuals.
The associations between PARP1 Val762Ala polymorphism and cancer risk were evaluated by crude ORs and their corresponding 95% CIs for each study. Pooled ORs and 95% CIs for PARP1 Val762Ala were calculated under homozygous model (Ala/Ala vs. Val/Val), heterozygous model (Val/Ala vs. Val/Val), recessive model [Ala/Ala vs. (Val/Ala & Val/Val)], dominant model [(Val/Ala & Ala/Ala) vs. Val/Val], and allele comparing (Ala vs. Val).
Goodness-of-fit chi-square test was performed to test deviation from HWE and a P value less than 0.05 was considered significant. Chi square-based Q-test was used to assess the homogeneity of studies. The fixed-effects model (the Mantel–Haenszel method)  was chosen when studies were homogeneous (with P>0.10 for the Q test); otherwise, random-effects model (the DerSimonian and Laird method) was adopted . Heterogeneity was also tested by the I2 statistic, with 0% indicating no observed heterogeneity, and larger values indicating increases in heterogeneity . Subgroup analyses were conducted according to cancer type, ethnicity and source of control. Standard error of log (OR) for each study was plotted against its log (OR) to evaluate the potential publication bias. Funnel plot asymmetry was estimated by Egger's linear regression test . Sensitivity analyses were performed by excluding each investigation individually and recalculating the pooled estimates and their corresponding 95% CIs to determine the effect of each study on the summary estimate. The differences in mRNA expression levels among genotypes were tested by one way ANOVA, and the mRNA expression level trends among genotypes were evaluated using General linear model.
To avoid false positive findings, the false-positive report probability (FPRP) values and statistical powers were also calculated for all significant findings observed in the current meta-analysis –. FPRP values with prior probabilities of 0.25, 0.1, 0.01, 0.001 and 0.0001 were obtained, with FPRP value <0.2 considered noteworthy. All statistics were conducted by using STATA version 11.0 (Stata Corporation, College Station, TX) and SAS version 9.1 (SAS Institute, Cary, NC). All P values were two-sided, and P<0.05 was considered significant.
As shown in Figure 1, a total of 282 publications were indentified from MEDLINE and EMBASE, and eight additional studies from CBM database. After abstracts and texts assessment, only 46 publications met the crude inclusion criteria and were subjected to further evaluation. Of them, four studies – were excluded for covered by other studies. The genotype distribution of PARP1 Val762Ala polymorphism in the controls was in compliance with HWE, except for eight studies , , , , , –. In order to enlarge the sample size and minimize the selection bias, five of these studies , , , ,  were incorporated in our final analysis, because the genotype distributions of other genes (e.g., XRCC1 or APE) in the controls of those studies were consistent with HWE. Rest of studies –, exclusively investigating Val762Ala polymorphism, were excluded from pooled analysis, due to the absence of further evidence to confirm validity of their sampling. Finally, only 39 publications were included for the meta-analysis (Table 1).
Studies including multiple ethnicities ,  or multiple types of cancers  were considered as multiple studies. The study carried out by Ye et al. only showed estimates in dominant model without presenting genotype count separately. Overall, in this updated meta-analysis investigating the association between PARP1 Val762Ala polymorphism and cancer risk, 43 studies with a total number of 17351 cases and 22401 controls were included. Of these 43 studies, sample sizes ranged from 50 to 1736 for cases while varying from 72 to 1935 for controls. The final meta-analysis was composed of six studies focused on breast cancer and brain cancer, five studies on gastric cancer, four studies on colorectal cancer, three studies on prostate cancer, bladder cancer and melanoma, the others with no more than two studies. In term of ethnicity, 18 studies were performed among Asians, 23 studies among Caucasians and two studies among Africans. Of these studies, 10 were population-based, 32 were hospital-based and only one was family-based.
It was found that there was no significant association between PARP1 Val762Ala polymorphism and overall cancer risk (homozygous model: OR = 1.10, 95% CI = 0.96–1.25; heterozygous model: OR = 1.04, 95% CI = 0.96–1.12, recessive model: OR = 1.07, 95% CI = 0.95–1.20, dominant model: OR = 1.05, 95% CI = 0.97–1.14, and allele comparing: OR = 1.04, 95% CI = 0.98–1.11) (Table 2). In the stratification analyses by cancer types, the polymorphism was found to be statistically significantly associated with increased risk of gastric cancer (homozygous model: OR = 1.56, 95% CI = 1.01–2.42; heterozygous model: OR = 1.34, 95% CI = 1.14–1.58, dominant model: OR = 1.41, 95% CI = 1.21–1.65, and allele comparing: OR = 1.29, 95% CI = 1.07–1.55), but decrease risk for brain tumor (heterozygous model: OR = 0.77, 95% CI = 0.68–0.87, dominant model: OR = 0.77, 95% CI = 0.68–0.87, and allele comparing: OR = 0.82, 95% CI = 0.74–0.91). Stratification analyses by ethnicity elucidated that the Ala carriers among Asians have a significantly increased risk of cancer in all genetics models (homozygous model: OR = 1.23, 95% CI = 1.05–1.44; heterozygous model: OR = 1.13, 95% CI = 1.05–1.22, recessive model: OR = 1.14, 95% CI = 1.00–1.30, dominant model: OR = 1.16, 95% CI = 1.07–1.26, and allele comparing: OR = 1.12, 95% CI = 1.04–1.20). However, stratification analyses by source of controls provided no evidence for significant association of Val762Ala with cancer risk.
To validate the results, the FPRP values at different prior probability levels were calculated for significant findings and shown in Table 3. For a prior probability of 0.01, FPRP value was less than 20%, statistical power was 0.980 and FPRP value was 0.046 for heterozygous model; statistical power was 0.831 and FPRP value was 0.002 for dominant model for gastric cancer, and statistical power was 0.987 and FPRP value was 0.003 for heterozygous model; statistical power was 0.991 and FPRP value was 0.002 for dominant model and statistical power was 1.000, FPRP value was 0.014 for allele comparing for brain tumor. Positive associations with the Ala/Ala genotype were observed in the subgroups for Asians at heterozygous (FPRP = 0.090) and dominant models (FPRP = 0.043). Greater FPRP values were observed for other significant findings.
The correlation between the mRNA expression and genotypes
The potential effects of PARP1 Val762Ala polymorphism on the mRNA expression levels of PARP1gene were explored among three ethnic groups. Ala variants were significantly associated with increased mRNA expression levels for PARP1 gene among Asians (heterozygous: P = 0.025 and dominant: P = 0.030), but such effects were not found for Caucasians or the Africans (Table 4).
Heterogeneity and sensitivity analyses
Substantial among-study heterogeneities were observed, while calculating risk estimate for the association between PARP1 Val762Ala polymorphism and overall cancer risk (homozygous model: P<0.001, I2 = 50.4%; heterozygous model: P<0.001, I2 = 56.2%; recessive model: P = 0.002, I2 = 43.9%; dominant model: P<0.001, I2 = 63.0% and allele comparing: P<0.001, I2 = 68.4%). Therefore, random-effects model was chosen to generated wider CIs for all genetics models. Moreover, the leave-one-out sensitivity analyses indicated that there was no any study that could alter the pooled ORs obviously (data not shown).
The shape of the funnel plots seems asymmetry, and the Egger's test for PARP1 Val762Ala suggested that there was no significant publication bias in the current meta-analysis (homozygous model: P = 0.463, heterozygous model: P = 0.367, recessive model: P = 0.603, dominant model: P = 0.319, and allele comparing: P = 0.660).
In this updated meta-analysis of 43 studies with 17351 cases and 22401 controls, pooled analysis did not yield significant association between PARP1 Val762Ala polymorphism and overall cancer risk. However, further stratified analyses revealed that this polymorphism was associated with an increased risk for gastric cancer, but decreased risk for brain tumor. There results were further validated by FPRP analysis. Moreover, the pooled odds ratio for the association between Ala variants (Ala/Ala or Ala/Val genotype) and cancer risk was statistically significant among Asians. Interestingly, it was also found that PARP1 Val762Ala polymorphism significantly influenced mRNA expression levels of PARP1gene in the Asians, but not in the Caucasians or the Africans, which might help to explain our findings that the association between the polymorphism and cancer risk was only found in the Asians.
As so far, there were only two meta-analyses have being investigated the role of PARP1 Val762Ala polymorphism in overall cancer risk , . To the best of our knowledge, with inclusion of 15 additional studies that were absent in the two previous meta-analysis, the current meta-analysis is the most comprehensive study that has evaluated the association of PARP1 Val762Ala polymorphism with overall cancer risk. In accordance with our finding, no significant association was observed between this polymorphism and overall cancer risk in one meta-analysis by Yu et al. , which including 21 studies with a total of 12027 cases and 14106 controls. The stratified analyses indicated that the Ala allele was associated with an increase risk of cancer among Asians, but a decrease risk among Caucasians, for glioma risk in particular. Similarly, the other meta-analysis of 28 publications with 13745 patients and 16947 controls suggested this polymorphism was not significantly associated with overall cancer risk, except for the Chinese population . One of advantages of the current meta-analysis was that the FPRP analysis was performed to preclude probability of false positive results. It is important to conduct FPRP analysis to calculate statistical power and the opportunity to be false positive findings, especially when the sample size in the strata is not large enough, for some findings may be false positive ones due to the reduced sample size as well as weak association in some subgroups, which need further validation in larger investigations. FPRP analysis ensured that this association of the polymorphism with increased risk for the Asians, gastric cancer, and decreased risk for brain tumor was indeed existed in the heterozygous and dominant models.
In the current meta-analysis, the PARP1 Val762Ala polymorphism seemed to exert opposite effects on the risks of gastric and brain cancer. It remains unclear whether the PARP1 Val762Ala polymorphism affects cancer risk through the same biological mechanism across different types of cancer or ethnic group. Nevertheless, it was noteworthy that the opposing results on gastric and brain cancer risks were derived from different ethnic groups. Studies on brain tumor were exclusively performed from Caucasians. In contrast, all studies on gastric cancer were from Asians. Nonetheless, a few evidence suggested the PARP1 Val762Ala polymorphism might play differential roles in Asians and Caucasians. First, frequencies of the minor allele of the PARP1 Val762Ala polymorphism among controls were about 0.423 and 0.166 for Asians and Caucasians, respectively . The discrepancy in the MAF of PARP1 Val762Ala polymorphism between ethnicity may slightly shed light on the observation that this polymorphism differentially modulates cancer susceptibility between Asians and Caucasians. The protective effect of PARP1 Val762Ala polymorphism on brain cancer risk in Caucasian may be associated relative higher Val (T) allele frequency in this ethnic group. Second, we found that PARP1 Val762Ala polymorphism significantly altered mRNA expression levels of PARP1 gene in Asians, but not in Caucasians or Africans. The PARP1 762Ala (C) allele can significantly decrease poly (ADP-ribo-syl)action activity in a dosage-dependent manner. Moreover, alteration in the catalytic domain of Ala allele may impair enzymatic activity .
The PARP1 gene encodes a 113 KDa DNA-binding protein ADPRT/PARP1 enzyme. The PARP1 enzyme plays essential roles in BER pathway through detection of DNA strand breaks and poly (ADP-ribosyl)ation of nuclear acceptor proteins responsible for DNA repair programs and/or apoptosis decision . It also participates in DNA-damage signaling, DNA recombination, genomic stability, and the transcriptional regulation of tumor suppressor genes (e.g., p53) , . Therefore, genetic variations in DNA repair genes that can modulate DNA repair capacity may contribute to cancer susceptibility. The Val762Ala polymorphism located within the COOH-terminal catalytic domain is associated with deficient poly (ADP-ribosyl)ation activity, which may impede DNA repair capacity of the BER, and thereby cause genome instability .
Previously, some investigations demonstrated that genetic alteration of the PARP1 Val762Ala can modulate cancer susceptibility, and that the frequency of the Ala/Ala genotype was significantly higher in patients when compared with controls , , , ,  with one exception, in which its frequency was found to be significantly lower in patients . Nevertheless, the association of Ala variants and cancer risk was not validated by others , –, –, –, –, , . In accordance with most of the previous studies, the current meta-analysis did not provide evidence that individuals with Ala genotype had significant increased risk of developing cancer, when compared with the Val/Val genotype. In the subgroup analysis by cancer type, the PARP1 Ala genotype was significantly associated with gastric cancer and brain tumor which may be ascribed to the cancer specificity and sample size. It was also found the Asians had a relatively higher risk of cancer than the Caucasians which may be due to ethnicity difference.
Several limitations of this updated meta-analysis should be considered, though it was strengthened by including the latest publication as well as studies written in Chinese. First, when all eligible data were pooled together, significantly heterogeneities were observed across studies. The results should be interpreted cautiously. Second, lack of the original data and inclusion of only one SNP may hinder the further assessment of gene-gene and gene-environment interactions. Third, the sample size of most included studies is relatively small (<500 for cases) except for 11 studies , –, , , , , , , . Forth, our results were derived based on unadjusted estimates. A more precise analysis should have been conducted, if individual data such as age, gender, race, smoking and drinking status, pack-years, and environmental factors were available. Finally, since various genotyping methods were adopted across studies, different quality control issues and genotyping bias may be inevitable.
Overall, this updated meta-analysis with addition of fifteen latest published studies allowed us to provide a more precise relative risk estimate regarding the association between PARP1 Val762Ala polymorphism and cancer susceptibility. These findings suggested that the PARP1 Val762Ala polymorphism may play a role in cancer development, at least in Asian group or some specific cancer types. For instance, our results showed increased risk of gastric cancer, but decrease risk of brain tumor for Ala carriers, indicating this polymorphism may exert different effects across different types of cancer.
Conceived and designed the experiments: R-XH YG X-ZS. Performed the experiments: R-XH H-PL Y-BL. Analyzed the data: R-XH H-PL BZ. Contributed reagents/materials/analysis tools: SY Q-SD. Wrote the paper: R-XH J-HZ S-QX X-ZS.
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