A pooled analysis was conducted to examine the association between select variants in DNA repair genes and glioblastoma multiforme, the most common and deadliest form of adult brain tumors. Genetic data for ∼1,000 glioblastoma multiforme cases and 2,000 controls were combined from four centers in the United States that have conducted case-control studies on adult glioblastoma multiforme, including the National Cancer Institute, the National Institute for Occupational Safety and Health, the University of Texas M. D. Anderson Cancer Center, and the University of California at San Francisco. Twelve DNA repair single-nucleotide polymorphisms were selected for investigation in the pilot collaborative project. The C allele of the PARP1 rs1136410 variant was associated with a 20% reduction in risk for glioblastoma multiforme (odds ratioCT or CC, 0.80; 95% confidence interval, 0.67-0.95). A 44% increase in risk for glioblastoma multiforme was found for individuals homozygous for the G allele of the PRKDC rs7003908 variant (odds ratioGG, 1.44; 95% confidence interval, 1.13-1.84); there was a statistically significant trend (P = 0.009) with increasing number of G alleles. A significant, protective effect was found when three single-nucleotide polymorphisms (ERCC2 rs13181, ERCC1 rs3212986, and GLTSCR1 rs1035938) located near each other on chromosome 19 were modeled as a haplotype. The most common haplotype (AGC) was associated with a 23% reduction in risk (P = 0.03) compared with all other haplotypes combined. Few studies have reported on the associations between variants in DNA repair genes and brain tumors, and few specifically have examined their impact on glioblastoma multiforme. Our results suggest that common variation in DNA repair genes may be associated with risk for glioblastoma multiforme. (Cancer Epidemiol Biomarkers Prev 2009;18(4):1118–26)

Glioblastoma multiforme is the most common primary brain tumor in adults (1); it is a highly malignant grade 4 glioma that is rapidly fatal, with a 1-year and 5-year survival of 30% and 3%, respectively (2). The causes of glioblastoma multiforme are largely unknown, with no single risk factor identified that explains a large proportion of cases. Although ionizing radiation is a clearly established environmental cause of brain tumors, high dose exposure to ionizing radiation is rare and therefore unlikely to explain many new cases of brain tumors (3). Other residential, occupational, and lifestyle factors have not been consistently associated with brain tumor risk in epidemiologic studies (4). Family history of glioma and several genetic syndromes, including neurofibromatosis types I and II, Li-Fraumeni syndrome, Gorlin syndrome, and Turcot syndrome, provide evidence of a genetic predisposition to brain cancer but are likely to account for only a small proportion of cases (5). The search for genetic and preventable environmental risk factors of glioblastoma multiforme therefore remains of critical importance.

Deficiencies in DNA repair pathways have been associated with cancer risk, cancer-related syndromes (6), and sensitivity to chemotherapeutic agents (7). DNA repair enzymes continuously monitor for damaged nucleotide residues generated by exposure to carcinogens and cytotoxic compounds (8). All tissues, including brain, may incur damage because of mutagens resulting from normal cellular processes or from environmental exposures. A high proportion of mutations are caused by weak mutagens produced in the body, including reactive oxygen species and other cellular metabolites. These metabolites result in slow turnover of DNA, even in cells that normally do not proliferate (8, 9). Exogenous agents that have been considered potential neurocarcinogens such as pesticides, N-nitroso compounds, and tobacco smoke may also contribute to the accumulation of chromosomal mutations and structural breaks.

Damage resulting from endogenous or exogenous exposure may be corrected by enzymes coded by one or more DNA repair pathways. Each pathway is recognized for efficient repair of specific types of DNA damage. Base excision repair is a multistep process for the removal of small base adducts such as those produced by methylation or oxidation (10). Nucleotide excision repair corrects UV-induced lesions, intrastrand cross-links, and bulky adducts following exposure to a range of environmental chemicals such as polycyclic aromatic hydrocarbons, aromatic amines, benzopyrenes, and some types of N-nitroso compounds (11-13). Direct repair is another mechanism that acts to reverse rather than excise DNA damage, typically involving methyl and other small alkyl groups (8). More severe double-strand breaks may occur following exposure to ionizing radiation or to products of cellular processes resulting in hydrolysis, oxidation, or methylation of DNA. Nonhomologous end joining is believed to be the primary repair pathway for most double-strand breaks, including those resulting from ionizing radiation (14). Homologous recombination is an alternative repair mechanism for double-strand breaks; however, the process is more closely tied with chromatin replication. Genetic variation may alter the function of DNA repair proteins and therefore influence glioma risk.

Few studies have reported on the associations between variants in DNA repair genes and brain tumors, and few specifically have examined their impact on glioblastoma multiforme. In the current analysis, we examined the association between select variants in DNA repair genes and risk for glioblastoma multiforme. We combined genetic data using DNA specimens from four centers in the United States that have conducted studies on gliomas, including the National Cancer Institute (NCI), the National Institute for Occupational Safety and Health (NIOSH), the University of Texas M. D. Anderson (MDA) Cancer Center, and the University of California at San Francisco (UCSF). We selected 12 putative functional single-nucleotide polymorphisms in DNA repair genes that were previously investigated at one or more of the four study centers and then completed genotyping at the remaining centers for each of the selected DNA repair variants. The pooled analysis includes genotyping data from ∼1,000 glioblastoma multiforme cases and 2,000 controls.

Study Population

Data for these analyses were assembled from four existing case-control studies of brain tumors in the United States: (a) the Multicenter Study of Environment and Health by investigators at the NCI; (b) the Upper Midwest Health Study by investigators at the NIOSH of the Centers for Disease Control and Prevention; (c) the Family Health Study by investigators at The University of Texas MDA Cancer Center, and (d) the Genetic and Molecular Epidemiology of Adult Glioma Study by investigators at the UCSF. The collaborative effort was established through meetings organized by the Brain Tumor Epidemiology Consortium, an international organization established in 2003 to develop multicenter and interdisciplinary collaborations that will lead to a better understanding of the etiology, outcomes, and prevention of brain tumors.7

7

Brain Tumor Epidemiology Consortium. http://epi.grants.cancer.gov/btec/.

Twelve single-nucleotide polymorphisms in 11 candidate DNA repair genes were selected for testing in the pilot study (Table 1). These pathways were considered relevant to the types of DNA damage that could result from exposure to potential neurocarcinogens (e.g., ionizing radiation, pesticides, polycyclic aromatic hydrocarbons, N-nitroso compounds) or products of cellular metabolic processes. We selected single-nucleotide polymorphisms in DNA repair genes that have previously been investigated as glioma risk factors at one or more of the four study centers and were believed to be functional or have been associated with risk for glioma in the literature. All single-nucleotide polymorphisms had minor allele frequencies of >0.1. Five single-nucleotide polymorphisms were selected from the base excision repair pathway (OGG1 rs1052133, APEX1 rs1130409, XRCC1 rs25487, XRCC1 rs1799782, PARP rs1136410); five single-nucleotide polymorphisms were selected from the nucleotide excision repair pathway (ERCC2 rs13181, RAD23B rs1805329, ERCC5 rs17655, GLTSCR1 rs1035938, ERCC1 rs3212986); one single-nucleotide polymorphism was selected from the direct repair pathway (MGMT rs12917); and one single-nucleotide polymorphism from the nonhomologous end–joining pathway (PRKDC rs7003908).

Table 1.

Candidate DNA repair pathway genes, Glioblastoma Collaborative Group, 2008

PathwayGene nameGeneSNP IDSNPBase changeChr
Direct Methyl-guanine methyltransferase MGMT rs12917 Leu84Phe C/T 10q26.3 
BER 8-Hydroxyguanine DNA glycosylase OGG1 rs1052133 Ser326Cys C/G 3p26.2 
BER Apurinic endonuclease APEX1 rs1130409 Asp148Glu T/G 14q11.2 
BER X-ray repair, complementing defective, 1 XRCC1 rs1799782 Arg194Trp G/A 19q13.2 
BER X-ray repair, complementing defective, 1 XRCC1 rs25487 Arg399Gly C/T 19q13.2 
BER ADP-ribosyltransferase PARP1 rs1136410 Val762Ala T/C 1q41 
NER Excision repair, complementing defective, 2 ERCC2 rs13181 Lys751Gln A/C 19q13.3 
NER RAD23 RAD23B rs1805329 Ala249Val C/T 9q31.2 
NER Excision repair, complementing defective, 5 ERCC5 rs17655 His1104Asp G/C 13q22 
NER Glioma tumor suppressor candidate region GLTSCR1 rs1035938 Ser387Ser C/T 19q13.3 
NER Excision repair, complementing defective, 1 ERCC1 rs3212986 C8092A C/A 19q13.2 
NHEJ DNA-dependent protein kinase PRKDC rs7003908 6721G>T G/T 8q11 
PathwayGene nameGeneSNP IDSNPBase changeChr
Direct Methyl-guanine methyltransferase MGMT rs12917 Leu84Phe C/T 10q26.3 
BER 8-Hydroxyguanine DNA glycosylase OGG1 rs1052133 Ser326Cys C/G 3p26.2 
BER Apurinic endonuclease APEX1 rs1130409 Asp148Glu T/G 14q11.2 
BER X-ray repair, complementing defective, 1 XRCC1 rs1799782 Arg194Trp G/A 19q13.2 
BER X-ray repair, complementing defective, 1 XRCC1 rs25487 Arg399Gly C/T 19q13.2 
BER ADP-ribosyltransferase PARP1 rs1136410 Val762Ala T/C 1q41 
NER Excision repair, complementing defective, 2 ERCC2 rs13181 Lys751Gln A/C 19q13.3 
NER RAD23 RAD23B rs1805329 Ala249Val C/T 9q31.2 
NER Excision repair, complementing defective, 5 ERCC5 rs17655 His1104Asp G/C 13q22 
NER Glioma tumor suppressor candidate region GLTSCR1 rs1035938 Ser387Ser C/T 19q13.3 
NER Excision repair, complementing defective, 1 ERCC1 rs3212986 C8092A C/A 19q13.2 
NHEJ DNA-dependent protein kinase PRKDC rs7003908 6721G>T G/T 8q11 

Abbreviations: SNP, single-nucleotide polymorphism; ID, identification; Chr, chromosome; BER, base excision repair; NER, nucleotide excision repair; NHEJ, nonhomologous end–joining.

Existing DNA samples and demographic data for 1,015 cases of glioblastoma multiforme and 1,994 controls from the four study centers were identified for inclusion in the pooled analyses. Cases for the combined analyses include adults 18 y of age and older at the time of diagnosis with histologically confirmed primary glioblastoma (International Classification of Diseases for Oncology code 9440). Case and control selection procedures differed by study center. Methods for each of the studies have been published previously (15-18). Briefly, study procedures were as follows.

  1. The Multicenter Study of Environment and Health (NCI): cases were identified from three hospitals in Phoenix, Arizona; Boston, Massachusetts; and Pittsburgh, Pennsylvania, from 1994 to 1998. Hospital-based controls were identified from non-cancer-related admissions (17, 19).

  2. The Upper Midwest Health Study (NIOSH): cases were identified from residents of eligible nonmetropolitan counties in Iowa, Michigan, Minnesota, and Wisconsin, who were diagnosed with a glioma from 1995 to 1997. Population-based controls were randomly selected from state driver's license and Medicare files from the same counties. Cases were required to have a state driver's license, have an identity card, or be enrolled in Medicare to maintain comparability with controls (20).

  3. The Harris County Case-Control Study (University of Texas MDA Cancer Center): cases were identified through physician or clinic referrals at hospitals where brain tumor patients are diagnosed in Harris County, Texas. Population-based controls were identified by random-digit dialing. Consenting participants provided blood and/or buccal specimens and information in an in-person or telephone interview.

  4. The Genetic and Molecular Epidemiology of Adult Glioma Study (UCSF): newly diagnosed cases of glioblastoma multiforme residing in six San Francisco Bay Area counties (San Francisco, Alameda, Contra Costa, Santa Clara, San Mateo, Marin) were ascertained between 1991 and 1994, 1997 and 1999, and 2001 and 2004 through the Northern California Cancer Center's Rapid Case Ascertainment program (21, 22). In addition to population-based recruitment, newly diagnosed glioblastoma patients attending the UCSF Neuro-oncology Clinic from 2002 to 2006 were asked to participate regardless of residence in the San Francisco Bay Area. Controls were identified through random-digit dialing (22). Consenting participants provided blood and/or buccal specimens and information in an in-person or telephone interview. Only White participants with at least five aliquots of blood were eligible for this present study to conduct the additional genotyping; thus, the numbers of participants are lower than the totals from other articles published from this group.

In-person interviews were used to collect demographic, lifestyle, and environmental exposure histories at each of the four centers, as well as blood samples for DNA extraction and genotyping. Informed consent was obtained for participants at each study site. Individual study protocols were approved by the appropriate institutional review board at each participating center and at the University of Southern California for the pooled analyses.

At all sites, controls were frequency matched to cases on age at diagnosis and gender; controls from NCI, MDA, and UCSF were additionally matched on race/ethnicity. The pooled genetic analyses were restricted to adults who described themselves as non-Hispanic White; other racial/ethnic groups were excluded because there were too few individuals in these categories to analyze the data separately with sufficient statistical power.

Laboratory Methods

DNA was extracted from blood samples and genotyped by individual laboratories used by each of the study centers. For NCI and NIOSH samples, DNA was extracted from peripheral WBCs using a phenol-chloroform method (23) and genotyped for the DNA repair single-nucleotide polymorphisms using custom-designed Taqman genotyping assays (Applied Biosystems) at the NCI Core Genotyping Facility (Gaithersburg, MD). At UCSF, DNA was extracted from heparinized whole blood using Qiagen column purification or Autogen DNA. Genotyping for most samples was completed using the same custom-designed Taqman assays (Applied Biosystems) used by the NCI laboratory. For 112 UCSF cases and 114 controls, the RAD23B, ERCC5, APEX1, and PARP1 genotype results were obtained from existing pilot data determined using the ParAllele 10,000 nonsynonymous coding single-nucleotide polymorphism assay panel (24-26). At MDA, genomic DNA was extracted from peripheral blood lymphocytes using the Qiagen Blood Kit. Genotyping was done using the Sequenom MassARRAY iPLEX platform.8

MassARRAY Workstation version 3.3 software was used to process and analyze iPLEX SpectroCHIP bioarrays.

For quality control purposes, 10% replicate samples, negative water controls, and 15 DNA standards with known genotypes (Coriell Biorepository) were included in the genotyping assays at the three laboratories. At the NCI laboratory, an additional 85 DNA standard controls (100 total; Coriell Biorepository) were included in the pilot genotyping plates.

Statistical Analyses

The distribution of allele frequencies for cases and controls was examined overall and by study center. Pearson χ2 tests were used to assess the consistency of allele frequencies with Hardy-Weinberg equilibrium among the controls. Summary and stratum-specific odds ratios and 95% confidence intervals (95% CI) were calculated using unconditional logistic regression to evaluate the association between each DNA repair single-nucleotide polymorphism and risk for glioblastoma for all samples and by age (<50, 50+ y at diagnosis) and study center adjusted for age at diagnosis (or reference age for controls), gender, and/or study center where appropriate. Adjustment for other potential glioblastoma multiforme risk factors, including education and family history of cancer or brain cancer, was completed; however, these variables were not included in the final models because they did not substantially change the findings. Results are presented by genotype with the more common homozygote as the reference group. Tests for trends were calculated using genotype as an ordinal variable in the regression models. To further assess the significance of single-nucleotide polymorphism association results, we conducted permutation testing. In brief, 10,000 data sets were generated through Monte Carlo sampling. Each of these data sets was analyzed in a manner identical to that of the original unpermuted data. The proportion of permuted replicates for which the smallest P value was less than the P value observed from the original data was then used as the overall association test of significance.

Potential gene-gene interactions were investigated using a focused interaction testing framework (27). Interactions were evaluated considering all 12 single-nucleotide polymorphisms and after restricting to single-nucleotide polymorphisms in common pathways (e.g., base excision repair, nucleotide excision repair). Likelihood-ratio tests were done in stages that increase in the order of interaction considered. Joint tests of main effects and interactions were done, conditional on significant lower-order effects. A reduction in the number of tests done is achieved by prescreening gene combinations with a goodness-of-fit χ2 statistical that depends on association among candidate genes in the pooled case-control group. Multiple testing is accounted for by controlling false-discovery rates.

Haplotype analyses were done using three nucleotide excision repair pathway single-nucleotide polymorphisms in genes located on the long arm of chromosome 19 (ERCC1 rs3212986, ERCC2 rs13181, GLTSCR1 rs1035938). These genes were the only tested genes residing in the same common chromosomal region with each other on 19q13; the XRCC1 single-nucleotide polymorphisms were not included because they are in the base excision repair pathway and not in close proximity of the nucleotide excision repair genes. Haplotype frequency estimates were constructed from genotype data using the expectation-maximization algorithm (28). Haplotype frequencies were estimated for each individual, conditional on the genotype of the individual. The estimates were used within logistic regression models to estimate odds ratios and 95% CIs.

Calculations were done using PROC LOGISTIC (SAS V 9.1) and PROC HAPLOTYPE from SAS/Genetics (SAS Institute).

A total of 1,015 glioblastoma multiforme cases and 1,994 controls were genotyped for 12 single-nucleotide polymorphisms in the DNA repair candidate pathways. Of these, 213 were contributed by MDA, 171 from NCI, 139 from NIOSH, and 492 from UCSF (Table 2). In the pooled data, most cases were male (Table 2) and 66% of the cases had some college training or were a college graduate (data not shown). Cases were more likely to be male than the control group (61% versus 51%), but were similar to controls with respect to education level. The mean age of cases (56 years) at diagnosis was slightly older than the reference age for controls (54 years).

Table 2.

Characteristics of glioblastoma cases and controls, Glioblastoma Collaborative Group, 2008

Case
Control
No.(%)No.(%)
All sites 1,015  1,994  
    MDA 213 (20.9) 365 (18.3) 
    NCI 171 (16.8) 489 (24.5) 
    NIOSH 139 (13.7) 453 (22.7) 
    UCSF 492 (48.5) 687 (34.5) 
Gender     
    Male 619 (61.0) 1,020 (51.1) 
    Female 396 (39.0) 974 (48.9) 
Age*± SD 56.3 ± 12.6  53.6 ± 15.3  
Case
Control
No.(%)No.(%)
All sites 1,015  1,994  
    MDA 213 (20.9) 365 (18.3) 
    NCI 171 (16.8) 489 (24.5) 
    NIOSH 139 (13.7) 453 (22.7) 
    UCSF 492 (48.5) 687 (34.5) 
Gender     
    Male 619 (61.0) 1,020 (51.1) 
    Female 396 (39.0) 974 (48.9) 
Age*± SD 56.3 ± 12.6  53.6 ± 15.3  
*

Age at diagnosis for cases and reference age for controls.

All single-nucleotide polymorphisms were consistent with Hardy-Weinberg equilibrium for controls at each study center. Data from the four study centers were in complete agreement with known genotypes for the 15 Coriell DNA standards. Genotypes for NCI and NIOSH samples also were in agreement with the 85 additional samples tested at the NCI laboratory. Genotyping completion was ≥96% for the 12 single-nucleotide polymorphisms. Concordance among duplicate samples was ≥97% for samples missing a call or with mismatched calls and ≥99% for duplicate samples with calls. The call rates for individual single-nucleotide polymorphisms ranged from 96% (GLTSCR, ERCC1) to 99% (ERCC2). Numbers of individuals genotyped for each single-nucleotide polymorphism are shown in Table 3.

Table 3.

Odds ratios and 95% CI for DNA repair single-nucleotide polymorphisms and risk for glioblastoma for all centers combined, Glioblastoma Collaborative Group, 2008

Gene SNPGenotypeCases* (%)Controls* (%)OR95% CI
BER      
    APEX1 rs1130409      
 TT 265 (26.8) 535 (27.8) Ref  
 GT 510 (51.6) 945 (49.1) 1.09 0.90-1.31 
 GG 213 (21.6) 446 (23.1) 1.00 0.80-1.25 
    Ptrend = 0.96  
    OGG1 rs1052133      
 CC 596 (59.9) 1,150 (59.3) Ref  
 CG 347 (34.9) 676 (34.9) 0.96 0.81-1.13 
 GG 52 (5.2) 112 (5.8) 0.88 0.62-1.25 
    Ptrend = 0.43  
    PARP1 rs1136410      
 TT 713 (72.2) 1,303 (67.3) Ref  
 CT 251 (25.4) 575 (29.7) 0.79 0.67-0.95 
 CC 23 (2.3) 57 (3.0) 0.83 0.51-1.38 
    Ptrend = 0.02  
    XRCC1 rs25487      
 GG 397 (39.6) 844 (42.8) Ref  
 AG 461 (46.0) 865 (43.9) 1.12 0.95-1.33 
 AA 145 (14.5) 262 (13.3) 1.23 0.96-1.57 
    Ptrend = 0.07  
    XRCC1 rs1799782      
 CC 842 (87.5) 1,664 (86.6) Ref  
 CT 117 (12.2) 252 (13.1) 0.89 0.70-1.14 
 TT 3 (0.3) 6 (0.3) 0.84 0.21-3.45 
    Ptrend = 0.35  
Direct repair      
    MGMT rs12917      
 CC 774 (77.6) 1,480 (75.2) Ref  
 CT 204 (20.4) 453 (23.0) 0.89 0.73-1.07 
 TT 20 (2.0) 35 (1.8) 1.24 0.70-2.20 
    Ptrend = 0.50  
NHEJ      
    PRKDC rs7003908      
 TT 389 (41.8) 811 (42.3) Ref  
 GT 397 (42.6) 875 (45.7) 1.07 0.90-1.27 
 GG 145 (15.6) 230 (12.0) 1.44 1.13-1.84 
    Ptrend = 0.009  
NER      
    ERCC1 rs3212986      
 CC 557 (57.0) 1,087 (56.6) Ref  
 CA 361 (36.9) 728 (37.9) 0.99 0.84-1.17 
 AA 59 (6.0) 105 (5.5) 1.09 0.77-1.54 
    Ptrend = 0.84  
    ERCC2 rs13181      
 AA 376 (37.6) 823 (41.8) Ref  
 AC 480 (48.0) 891 (45.2) 1.16 0.98-1.37 
 CC 143 (14.3) 256 (13.0) 1.19 0.93-1.52 
    Ptrend = 0.08  
    ERCC5 rs17655      
 GG 499 (49.7) 989 (50.5) Ref  
 CG 348 (34.7) 657 (33.6) 0.98 0.82-1.18 
 CC 157 (15.6) 311 (15.9) 0.81 0.60-1.08 
    Ptrend = 0.25  
    GLTSCR1 rs1035938      
 CC 503 (51.2) 1,017 (53.2) Ref  
 CT 395 (40.2) 761 (39.8) 1.06 0.90-1.25 
 TT 84 (8.6) 135 (7.1) 1.24 0.92-1.67 
    Ptrend = 0.18  
    RAD23B rs1805329      
 CC 673 (68.3) 1,264 (65.7) Ref  
 CT 277 (28.1) 573 (29.8) 0.90 0.76-1.07 
 TT 36 (3.7) 88 (4.6) 0.71 0.47-1.07 
    Ptrend = 0.07  
Gene SNPGenotypeCases* (%)Controls* (%)OR95% CI
BER      
    APEX1 rs1130409      
 TT 265 (26.8) 535 (27.8) Ref  
 GT 510 (51.6) 945 (49.1) 1.09 0.90-1.31 
 GG 213 (21.6) 446 (23.1) 1.00 0.80-1.25 
    Ptrend = 0.96  
    OGG1 rs1052133      
 CC 596 (59.9) 1,150 (59.3) Ref  
 CG 347 (34.9) 676 (34.9) 0.96 0.81-1.13 
 GG 52 (5.2) 112 (5.8) 0.88 0.62-1.25 
    Ptrend = 0.43  
    PARP1 rs1136410      
 TT 713 (72.2) 1,303 (67.3) Ref  
 CT 251 (25.4) 575 (29.7) 0.79 0.67-0.95 
 CC 23 (2.3) 57 (3.0) 0.83 0.51-1.38 
    Ptrend = 0.02  
    XRCC1 rs25487      
 GG 397 (39.6) 844 (42.8) Ref  
 AG 461 (46.0) 865 (43.9) 1.12 0.95-1.33 
 AA 145 (14.5) 262 (13.3) 1.23 0.96-1.57 
    Ptrend = 0.07  
    XRCC1 rs1799782      
 CC 842 (87.5) 1,664 (86.6) Ref  
 CT 117 (12.2) 252 (13.1) 0.89 0.70-1.14 
 TT 3 (0.3) 6 (0.3) 0.84 0.21-3.45 
    Ptrend = 0.35  
Direct repair      
    MGMT rs12917      
 CC 774 (77.6) 1,480 (75.2) Ref  
 CT 204 (20.4) 453 (23.0) 0.89 0.73-1.07 
 TT 20 (2.0) 35 (1.8) 1.24 0.70-2.20 
    Ptrend = 0.50  
NHEJ      
    PRKDC rs7003908      
 TT 389 (41.8) 811 (42.3) Ref  
 GT 397 (42.6) 875 (45.7) 1.07 0.90-1.27 
 GG 145 (15.6) 230 (12.0) 1.44 1.13-1.84 
    Ptrend = 0.009  
NER      
    ERCC1 rs3212986      
 CC 557 (57.0) 1,087 (56.6) Ref  
 CA 361 (36.9) 728 (37.9) 0.99 0.84-1.17 
 AA 59 (6.0) 105 (5.5) 1.09 0.77-1.54 
    Ptrend = 0.84  
    ERCC2 rs13181      
 AA 376 (37.6) 823 (41.8) Ref  
 AC 480 (48.0) 891 (45.2) 1.16 0.98-1.37 
 CC 143 (14.3) 256 (13.0) 1.19 0.93-1.52 
    Ptrend = 0.08  
    ERCC5 rs17655      
 GG 499 (49.7) 989 (50.5) Ref  
 CG 348 (34.7) 657 (33.6) 0.98 0.82-1.18 
 CC 157 (15.6) 311 (15.9) 0.81 0.60-1.08 
    Ptrend = 0.25  
    GLTSCR1 rs1035938      
 CC 503 (51.2) 1,017 (53.2) Ref  
 CT 395 (40.2) 761 (39.8) 1.06 0.90-1.25 
 TT 84 (8.6) 135 (7.1) 1.24 0.92-1.67 
    Ptrend = 0.18  
    RAD23B rs1805329      
 CC 673 (68.3) 1,264 (65.7) Ref  
 CT 277 (28.1) 573 (29.8) 0.90 0.76-1.07 
 TT 36 (3.7) 88 (4.6) 0.71 0.47-1.07 
    Ptrend = 0.07  

Abbreviations: OR, odds ratio; Ref, reference.

*

Differences in numbers due to missing genotypes.

Adjusted for age, gender, and study center.

Among the five base excision repair genes, only the PARP1 single-nucleotide polymorphism (rs1136410) was significantly associated with risk for glioblastoma multiforme. No significant associations were found for the remaining four base excision repair single-nucleotide polymorphisms (APEX1 rs1130409, OGG1 rs1052133, XRCC1 rs25487, XRCC1 rs1799782) or for the single direct-repair single-nucleotide polymorphism (MGMT rs12917; Table 3). Participants with one or two copies of the PARP1 C allele were at lower risk for a glioblastoma multiforme than participants homozygous for the T allele (odds ratioCT or CC, 0.80; 95% CI, 0.67-0.95). Risk was similar for individuals heterozygote or homozygous for the C allele (odds ratioCT, 0.79; 95% CI, 0.67-0.95; odds ratioCC, 0.83; 95% CI, 0.51-1.38; Ptrend = 0.016; Table 3). The reduction in risk associated with the C allele was consistent across study centers (Pinteraction = 0.81; data not shown), and the C allele frequency of 17% is consistent with the minor allele frequency reported on the National Center for Biotechnology Information website for Caucasian populations.9

We found a significant trend in risk by genotype that was present for individuals 50 years of age and older but not for individuals <50 years of age at diagnosis (Supplementary Table 1).

We found a significant trend of increasing risk with the G allele of the intronic PRKDC variant (rs7003908; Ptrend = 0.009). Individuals who were homozygous for the G allele were 44% more likely to be diagnosed with a glioblastoma multiforme than individuals with the wildtype (Table 3). This association was consistent by age of diagnosis (Supplementary Table 1), and the pattern was found for each of the four study centers (odds ratioMDA, 1.18; odds ratioNCI, 1.19; odds ratioNIOSH, 1.38; odds ratioUCSF, 1.78; Supplementary Table 1). The G allele frequency for controls of 35% is in the range reported for Caucasian populations (G allele range, 0.23-0.43) in the National Center for Biotechnology Information website.10

There were no significant associations overall between candidate single-nucleotide polymorphisms in the nucleotide excision repair pathway and glioblastoma multiforme. For the ERCC2 (rs13181) single-nucleotide polymorphism, we found a nonsignificant trend of increasing risk with the C allele (Ptrend = 0.08). This trend reached statistical significance only when restricting to cases diagnosed at 50 years of age and older (Ptrend = 0.03; Supplemental Table 1).

No significant differences for single gene associations were found by study center (Supplemental Table 1). Furthermore, no statistically significant two- or three-way gene interactions were found using the focused interaction testing framework when testing all genes or when restricting to genes in the same DNA repair pathways (data not shown).

Table 4 shows the haplotype-based analysis of the three DNA repair genes from chromosome 19 single-nucleotide polymorphisms (ERCC2 rs13181, ERCC1 rs3212986, and GLTSCR1 rs1035938) and glioblastoma multiforme. Although the three single-nucleotide polymorphisms were not in strong linkage disequilibrium, we assessed the joint effect of these single-nucleotide polymorphisms using a haplotype approach. A significant association was found between the most common haplotype (AGC) constructed from the chromosome 19 single-nucleotide polymorphisms (ERCC2 rs13181, ERCC1 rs3212986, and GLTSCR1 rs1035938) and risk for glioblastoma multiforme in comparison to all other haplotypes. Individuals with this haplotype were 23% less likely to be diagnosed with a glioblastoma multiforme than individuals with all other haplotypes combined (odds ratio, 0.77; 95% CI, 0.61-09.8; P = 0.03). There was no significant association between any of the individual three single-nucleotide polymorphisms and glioblastoma multiforme; however, each of the three variants was less frequent in the glioblastoma multiforme cases than the controls. There were no associations between any of the remaining haplotypes and glioblastoma multiforme in comparison to all other haplotypes combined or when individually compared with the most common haplotype.

Table 4.

Haplotypes and risk for glioblastoma for loci at ERCC2, ERCC1, GLTSCR1, Glioblastoma Collaborative Group, 2008

Haplotype*FrequencyOR,95% CIP
H1b ACC 0.39 0.77 0.61-0.98 0.04 
H2 ACT 0.152 1.19 0.85-1.68 0.32 
H3 AAC 0.065 0.7 0.49-1.22 0.2 
H4 AAT 0.027 1.04 0.44-2.70 0.93 
H5 CCC 0.161 1.19 0.85-1.67 0.31 
H6 CCT 0.052 1.28 0.69-2.37 0.44 
H7 CAC 0.109 1.17 0.77-1.77 0.46 
H8 CAT 0.044 1.34 0.66-2.71 0.42 
Haplotype*FrequencyOR,95% CIP
H1b ACC 0.39 0.77 0.61-0.98 0.04 
H2 ACT 0.152 1.19 0.85-1.68 0.32 
H3 AAC 0.065 0.7 0.49-1.22 0.2 
H4 AAT 0.027 1.04 0.44-2.70 0.93 
H5 CCC 0.161 1.19 0.85-1.67 0.31 
H6 CCT 0.052 1.28 0.69-2.37 0.44 
H7 CAC 0.109 1.17 0.77-1.77 0.46 
H8 CAT 0.044 1.34 0.66-2.71 0.42 
*

Haplotypes for loci at ERCC2 rs13181, ERCC1 rs3212986, and GLTSCR1 rs1035938.

Odds ratio for haplotype compared with all other haplotypes.

Adjusted for age, gender, and center.

Our results suggest that common variation in DNA repair genes may be associated with risk for glioblastoma multiforme. In the pooled analyses, we found two single-nucleotide polymorphisms (one in the base excision repair pathway and one in the nonhomologous end–joining pathway) associated with risk for glioblastoma multiforme. The C allele of the PARP1 rs1136410 variant was associated with a 20% reduction in risk for glioblastoma multiforme. The G allele of the PRKDC rs7003908 variant was associated with a 44% increase in risk for glioblastoma multiforme, and there was a statistically significant trend (P = 0.009) with increasing number of G alleles. Although we found no individual associations between nucleotide excision repair candidate single-nucleotide polymorphisms and glioblastoma multiforme, we found a significant protective effect when three nucleotide excision repair single-nucleotide polymorphisms located near each other on chromosome 19 were modeled as a haplotype. The most common haplotype (AGC) when considering ERCC2 rs13181, ERCC1 rs3212986, and GLTSCR1 rs1035938 was associated with a 23% reduction in risk (P = 0.03) compared with all other haplotypes combined. This finding may represent an additive effect of the individual single-nucleotide polymorphisms or the haplotype may be marking a region of chromosome 19 that contains another gene influencing risk for glioblastoma multiforme.

Although there are few published genetic association studies on gliomas, several articles have reported on associations between glioblastoma multiforme and the nucleotide excision repair pathway genes. Three analyses of chromosome 19 genes were published from the UCSF Genetic and Molecular Epidemiology of Adult Glioma Study. The ERCC1 rs3212986 variant has been strongly associated with oligoastrocytomas but not with other types of gliomas. Using data collected through 1994, Chen et al. (29) found no association between the ERCC1 rs3212986 C allele and risk for glioblastoma multiforme (odds ratio, 0.9; 95% CI, 0.5-1.6) but found a statistically significant association with oligoastrocytomas (odds ratio, 4.6; 95% CI, 1.6-13.2). The variant affects two proteins, ERCC1 and ASE-1, a nucleolar protein and T-cell receptor complex unit. From the same data set, Caggana et al. (30) found a significant association between a silent mutation (R156R) in ERCC2 and all gliomas (glioblastoma multiforme, astrocytomas, oligoastrocytomas; odds ratio, 2.3; 95% CI, 1.3-4.2), whereas no significant association was found between the ERCC2 rs13181 variant and glioblastoma multiforme (odds ratioAC/CC versus AA, 1.6; 95% CI, 0.9-3.3). In our pooled analyses, there was a modest positive association between the ERCC2 rs13181 C allele and risk for glioblastoma multiforme at each of the individual study centers (odds ratioMDA, 1.18; odds ratioNCI, 1.19; odds ratioNIOSH, 1.13; odds ratioUCSF, 1.25); however, the effect for the combined data did not reach statistical significance (odds ratioAC/CC versus AA, 1.16; 95% CI, 0.99-1.37). An updated analysis of the UCSF data (using glioma cases identified through 1999) investigating ERCC1 and ERCC2 germline variants found no significant association between the ERCC1 rs3212986 or the ERCC2 rs13181 variants and risk for glioblastoma multiforme (18). A separate case-control study on chromosome 19 gene single-nucleotide polymorphisms and gliomas (N = 141) found that the GLTSCR1 rs1035938 (T allele) and the ERCC2 rs1052555 (T allele) single-nucleotide polymorphisms were significantly more common in oligodendroglioma cases than controls (31). Furthermore, the GLTSCR1 T allele was more common among cases with the 19q deletion than those without (P = 0.01).

Regions of chromosomal loss or gain of 19q have been described in studies on familial glioma (32, 33) and sporadic gliomas (34), suggesting that genes relevant to glioma risk are found in these regions. Investigators have observed differences in tissue expression and gene copy number for ERCC1 and ERCC2 in glioma (35, 36). These genes code for 2 essential proteins of 16 that contribute to DNA repair through the nucleotide excision repair pathway (37, 38). ERCC2 is a 5′-3′ helicase that assists with DNA strand separation, and ERCC1 is involved in the 5′ incision of DNA, which is necessary for the release of bulky DNA lesions (39, 40).

Two previous studies have described associations between polymorphisms in the PRKDC gene in the nonhomologous end–joining pathway with risk for gliomas. Wang et al. (41) investigated DNA repair genes that may be critical for the repair of DNA damage resulting from ionizing radiation, including XRCC1, XRCC3, RAD51, p53, and PRKDC. In this U.S. association study of 309 glioma patients and 342 cancer-free controls, investigators found a significant association between the PRKDC G6721T variant (rs7003908) and risk for glioma (41). The combined T variant (TT or GT) was associated with a 1.82-fold increase in risk for glioma (95% CI, 1.13-2.93; ref. 41). These findings contrast with the results of our current pooled analysis, wherein we found a 44% increase in risk associated with the G allele (odds ratioGG versus TT, 1.44; 95% CI, 1.13-1.84). It is not clear why the two studies differ; however, our T allele frequency of 0.65 among controls and 0.63 among cases is consistent with the frequency described for Caucasians (T = 0.645) in the SNP500 National Center for Biotechnology Information website.11

Liu et al. (42) completed a case-control study on 22 tagging single-nucleotide polymorphisms in nonhomologous end–joining pathway genes (XRCC5, XRCC6, and PRKDC) and gliomas; they found no association between any of the PRKDC tagging single-nucleotide polymorphisms and glioma risk. Specifically, there was no association between the PRKDC rs7003908 single-nucleotide polymorphism and risk for glioma in this Chinese population. In the analysis of single single-nucleotide polymorphisms, risk for glioma was associated with three tagging single-nucleotide polymorphisms (rs828704, rs3770502, rs9288516) in XRCC5 and one tagging single-nucleotide polymorphism in XRCC6 (rs6519265).

A recent publication of polymorphisms in DNA repair genes and gliomas found 16 single-nucleotide polymorphisms associated with glioma risk at the 1% significance level of 1,515 total single-nucleotide polymorphisms examined. The pooled analysis included data from 1,013 cases of all types of glioma and 1,016 controls combining data from five European population–based, case-control studies (43). The strongest association was found for the rs243356 single-nucleotide polymorphism in CHAF1A (odds ratiotrend, 1.32; 95% CI, 1.14-1.54; P = 0.0002). We did not examine variants in CHAF1A because the selection of single-nucleotide polymorphisms in our pilot study was completed before publication of the Bethke et al. (43) study. Of the 12 single-nucleotide polymorphisms included in our study on glioblastoma multiforme, the European study of glioma found a significant association with the ERCC1 rs3212986 single-nucleotide polymorphism (odds ratiotrend, 0.81; 95% CI, 0.70-0.93; P = 0.003); no association was found for the PARP1 rs1136410 (P = 0.5) or PRKDC rs7003908 single-nucleotide polymorphism (P = 0.6). Differences in findings between our glioblastoma multiforme pilot and the glioma study may reflect chance associations, differences in characteristics of the study populations, and/or the inclusion of different types of gliomas. Although it is possible that variation in DNA repair genes may be risk factors for all types of gliomas, it is also possible that some DNA repair single-nucleotide polymorphisms specifically contribute to glioblastoma multiforme.

Although we found a protective association with the PARP1 rs1136410 C allele, other studies have found an increased risk for cancers of the prostate, esophagus, and lung with the C allele (44-46). The PARP1 rs1136410 single-nucleotide polymorphism is a missense variant located in the catalytic domain of the gene (47, 48); the valine to alanine change is associated with a significant reduction in PARP1 enzymatic activity (49). Besides the catalytic domain at the C-terminal of the gene, other identifiable regions of PARP1 include an N-terminal DNA-binding domain, a nuclear localization sequence, and an internal automodification domain. Although the primary function of PARP1 during DNA repair is the detection of DNA damage and the prevention of chromatid exchange, PARP1 may also contribute to programmed cell death and to the up-regulation of an inflammatory response. The protective association found with the less active form of the enzyme could be explained by a diminished immune response among individuals with the PARP1 variant. The absence of a dose-response in our findings may be chance or may reflect a dominant mode of action. PARP1 is active in most cells found within the brain, including neurons, astrocytes, microglial cells, endothelia, and infiltrating leukocytes.

Of the 12 single-nucleotide polymorphisms we investigated in this initial pooled analyses, we found two single-nucleotide polymorphisms were associated with glioblastoma multiforme risk. These results may represent chance associations; however, the PARP1 and PRKDC single-nucleotide polymorphisms remained significantly associated with risk after permutation testing. We constructed haplotypes for a set of three nucleotide excision repair single-nucleotide polymorphisms located near each other on chromosome 19. The individual single-nucleotide polymorphisms were not associated with risk, but the most common haplotype was associated with a 23% reduction in risk for glioblastoma multiforme compared with all other genotypes after adjusting for age, gender, and study center.

Because glioblastoma multiforme is a relatively rare cancer, it is difficult for any single study to recruit enough patients for genetic association and gene-gene interaction analyses. The pooling of data from four study centers allowed us to assemble a relatively large number of DNA samples for genetic association testing. The study represents one of the largest sets of glioblastoma multiforme cases assembled for genetic association testing to date. Although we did not conduct centralized pathology review for this study, the diagnosis of glioblastoma multiforme in the United States is considered consistent across time, geographic regions, and individual pathologists to allow for the use of existing diagnostic data for pooled analyses (50). We therefore felt confident that pooling of data from glioblastoma multiforme across study centers would result in a reasonably homogenous set of brain tumors for investigation. Collaboration of investigators across centers is critical for continued progress in brain tumor etiologic research. Another limitation of our study was the completion of genotyping at three laboratories and using more than one genotyping platform; to improve the interpretability of the combined results, quality control measures were planned in the design, including the incorporation of DNA standards at each study center with known genotypes.

In summary, our single single-nucleotide polymorphism and haplotype findings suggest that DNA repair variants in the nucleotide excision repair, base excision repair, and nonhomologous end–joining pathways may play an important role in the etiology of glioblastoma multiforme. Additional studies investigating more comprehensive sets of genes and their impact on survival, as well as etiology, are needed. This study is one of the largest association studies on adult glioblastoma multiforme, the most common and deadly form of adult brain cancer. Collaborative studies investigating genetic and environmental risk and prognostic factors are needed to extend the length and quality of life for patients with glioblastoma multiforme and other types of gliomas.

No potential conflicts of interest were disclosed.

Grant support: The National Brain Tumor Foundation, National Cancer Institute R01CA52689 and P50CA097257 (M. Wrensch, principal investigator); Centers for Disease Control and Prevention/National Institute for Occupational Safety and Health operating funds, National Cancer Institute R01CA070917 (M. Bondy, principal investigator); the Ron Ross, MD Memorial Cancer Research Fund; and the Intramural Research Program of the National Cancer Institute, NIH, Department of Health and Human Services.

Note: Supplementary data for this article are available at Cancer Epidemiology, Biomarkers & Prevention Online (http://cebp.aacrjournals.org/).

The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institute for Occupational Safety and Health.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1
Osborne RH, Houben MP, Tijssen CC, Coebergh JW, van Duijn CM. The genetic epidemiology of glioma.
Neurology
2001
;
57
:
1751
–5.
2
Louis DN, Holland EC, Cairncross JG. Glioma classification: a molecular reappraisal.
Am J Pathol
2001
;
159
:
779
–86.
3
Ron E, Modan B, Boice JD, Jr., et al. Tumors of the brain and nervous system after radiotherapy in childhood.
N Engl J Med
1988
;
319
:
1033
–9.
4
Wrensch M, Minn Y, Chew T, Bondy M, Berger MS. Epidemiology of primary brain tumors: current concepts and review of the literature.
Neuro Oncol
2002
;
4
:
278
–99.
5
Narod SA, Stiller C, Lenoir GM. An estimate of the heritable fraction of childhood cancer.
Br J Cancer
1991
;
63
:
993
–9.
6
Christmann M, Tomicic MT, Roos WP, Kaina B. Mechanisms of human DNA repair: an update.
Toxicology
2003
;
193
:
3
–34.
7
Hegi ME, Diserens AC, Gorlia T, et al. MGMT gene silencing and benefit from temozolomide in glioblastoma.
N Engl J Med
2005
;
352
:
997
–1003.
8
Wood RD, Mitchell M, Sgouros J, Lindahl T. Human DNA repair genes.
Science
2001
;
291
:
1284
–9.
9
Goode EL, Ulrich CM, Potter JD. Polymorphisms in DNA repair genes and associations with cancer risk.
Cancer Epidemiol Biomarkers Prev
2002
;
11
:
1513
–30.
10
Yu Z, Chen J, Ford BN, Brackley ME, Glickman BW. Human DNA repair systems: an overview.
Environ Mol Mutagen
1999
;
33
:
3
–20.
11
Friedberg EC. How nucleotide excision repair protects against cancer.
Nat Rev Cancer
2001
;
1
:
22
–33.
12
Hoeijmakers JH. DNA repair mechanisms.
Maturitas
2001
;
38
:
17
–22; discussion 22–3.
13
Hoeijmakers JH, Bootsma D. Molecular genetics of eukaryotic DNA excision repair.
Cancer Cells
1990
;
2
:
311
–20.
14
Lieber MR. The mechanism of human nonhomologous DNA end joining.
J Biol Chem
2008
;
283
:
1
–5.
15
Carreon T, Butler MA, Ruder AM, et al. Gliomas and farm pesticide exposure in women: the Upper Midwest Health Study.
Environ Health Perspect
2005
;
113
:
546
–51.
16
de Andrade M, Barnholtz JS, Amos CI, Adatto P, Spencer C, Bondy ML. Segregation analysis of cancer in families of glioma patients.
Genet Epidemiol
2001
;
20
:
258
–70.
17
Inskip PD, Tarone RE, Hatch EE, et al. Cellular-telephone use and brain tumors.
N Engl J Med
2001
;
344
:
79
–86.
18
Wrensch M, Kelsey KT, Liu M, et al. ERCC1 and ERCC2 polymorphisms and adult glioma.
Neuro Oncol
2005
;
7
:
495
–507.
19
De Roos AJ, Rothman N, Brown M, et al. Variation in genes relevant to aromatic hydrocarbon metabolism and the risk of adult brain tumors.
Neuro Oncol
2006
;
8
:
145
–55.
20
Ruder AM, Waters MA, Carreon T, et al. The Upper Midwest Health Study: a case-control study of primary intracranial gliomas in farm and rural residents.
J Agric Saf Health
2006
;
12
:
255
–74.
21
Wiemels JL, Wiencke JK, Sison JD, Miike R, McMillan A, Wrensch M. History of allergies among adults with glioma and controls.
Int J Cancer
2002
;
98
:
609
–15.
22
Wrensch M, Lee M, Miike R, et al. Familial and personal medical history of cancer and nervous system conditions among adults with glioma and controls.
Am J Epidemiol
1997
;
145
:
581
–93.
23
Daly AK, Steen VM, Fairbrother KS, Idle JR. CYP2D6 multiallelism.
Methods Enzymol
1996
;
272
:
199
–210.
24
Hardenbol P, Yu F, Belmont J, et al. Highly multiplexed molecular inversion probe genotyping: over 10,000 targeted SNPs genotyped in a single tube assay.
Genome Res
2005
;
15
:
269
–75.
25
Wrensch M, McMillan A, Wiencke J, et al. Nonsynonymous coding single-nucleotide polymorphisms spanning the genome in relation to glioblastoma survival and age at diagnosis.
Clin Cancer Res
2007
;
13
:
197
–205.
26
Chang JS, Yeh RF, Wiencke JK, et al. Pathway analysis of single-nucleotide polymorphisms potentially associated with glioblastoma multiforme susceptibility using random forests.
Cancer Epidemiol Biomarkers Prev
2008
;
17
:
1368
–73.
27
Millstein J, Conti DV, Gilliland FD, Gauderman WJ. A testing framework for identifying susceptibility genes in the presence of epistasis.
Am J Hum Genet
2006
;
78
:
15
–27.
28
Excoffier L, Slatkin M. Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.
Mol Biol Evol
1995
;
12
:
921
–7.
29
Chen P, Wiencke J, Aldape K, et al. Association of an ERCC1 polymorphism with adult-onset glioma.
Cancer Epidemiol Biomarkers Prev
2000
;
9
:
843
–7.
30
Caggana M, Kilgallen J, Conroy JM, et al. Associations between ERCC2 polymorphisms and gliomas.
Cancer Epidemiol Biomarkers Prev
2001
;
10
:
355
–60.
31
Yang P, Kollmeyer TM, Buckner K, Bamlet W, Ballman KV, Jenkins RB. Polymorphisms in GLTSCR1 and ERCC2 are associated with the development of oligodendrogliomas.
Cancer
2005
;
103
:
2363
–72.
32
Patel A, van Meyel DJ, Mohapatra G, et al. Gliomas in families: chromosomal analysis by comparative genomic hybridization.
Cancer Genet Cytogenet
1998
;
100
:
77
–83.
33
Smith JS, Alderete B, Minn Y, et al. Localization of common deletion regions on 1p and 19q in human gliomas and their association with histological subtype.
Oncogene
1999
;
18
:
4144
–52.
34
Rubio MP, Correa KM, Ueki K, et al. The putative glioma tumor suppressor gene on chromosome 19q maps between APOC2 and HRC.
Cancer Res
1994
;
54
:
4760
–3.
35
Dabholkar MD, Berger MS, Vionnet JA, et al. Malignant and nonmalignant brain tissues differ in their messenger RNA expression patterns for ERCC1 and ERCC2.
Cancer Res
1995
;
55
:
1261
–6.
36
Liang BC, Ross DA, Reed E. Genomic copy number changes of DNA repair genes ERCC1 and ERCC2 in human gliomas.
J Neurooncol
1995
;
26
:
17
–23.
37
Mu D, Hsu DS, Sancar A. Reaction mechanism of human DNA repair excision nuclease.
J Biol Chem
1996
;
271
:
8285
–94.
38
Mu D, Park CH, Matsunaga T, Hsu DS, Reardon JT, Sancar A. Reconstitution of human DNA repair excision nuclease in a highly defined system.
J Biol Chem
1995
;
270
:
2415
–8.
39
van Duin M, de Wit J, Odijk H, et al. Molecular characterization of the human excision repair gene ERCC-1: cDNA cloning and amino acid homology with the yeast DNA repair gene RAD10.
Cell
1986
;
44
:
913
–23.
40
van Duin M, Koken MH, van den Tol J, et al. Genomic characterization of the human DNA excision repair gene ERCC-1.
Nucleic Acids Res
1987
;
15
:
9195
–213.
41
Wang LE, Bondy ML, Shen H, et al. Polymorphisms of DNA repair genes and risk of glioma.
Cancer Res
2004
;
64
:
5560
–3.
42
Liu Y, Zhang H, Zhou K, et al. Tagging SNPs in non-homologous end-joining pathway genes and risk of glioma.
Carcinogenesis
2007
;
28
:
1906
–13.
43
Bethke L, Webb E, Murray A, et al. Comprehensive analysis of the role of DNA repair gene polymorphisms on risk of glioma.
Hum Mol Genet
2008
;
17
:
800
–5.
44
Hao B, Wang H, Zhou K, et al. Identification of genetic variants in base excision repair pathway and their associations with risk of esophageal squamous cell carcinoma.
Cancer Res
2004
;
64
:
4378
–84.
45
Lockett KL, Hall MC, Xu J, et al. The ADPRT V762A genetic variant contributes to prostate cancer susceptibility and deficient enzyme function.
Cancer Res
2004
;
64
:
6344
–8.
46
Zhang X, Miao X, Liang G, et al. Polymorphisms in DNA base excision repair genes ADPRT and XRCC1 and risk of lung cancer.
Cancer Res
2005
;
65
:
722
–6.
47
Kauppinen TM, Chan WY, Suh SW, Wiggins AK, Huang EJ, Swanson RA. Direct phosphorylation and regulation of poly(ADP-ribose) polymerase-1 by extracellular signal-regulated kinases 1/2.
Proc Natl Acad Sci U S A
2006
;
103
:
7136
–41.
48
Kauppinen TM, Swanson RA. The role of poly(ADP-ribose) polymerase-1 in CNS disease.
Neuroscience
2007
;
145
:
1267
–72.
49
Wang XG, Wang ZQ, Tong WM, Shen Y. PARP1 Val762Ala polymorphism reduces enzymatic activity.
Biochem Biophys Res Commun
2007
;
354
:
122
–6.
50
Davis FG, Malmer BS, Aldape K, et al. Issues of diagnostic review in brain tumor studies: from the Brain Tumor Epidemiology Consortium.
Cancer Epidemiol Biomarkers Prev
2008
;
17
:
484
–9.

Supplementary data