Tobacco and alcohol consumption are the major risk factors for head and neck cancer, likely due to DNA-damaging processes. Genetic variations in DNA repair genes may affect an individual's susceptibility to head and neck cancer. Pooling data and DNA specimens from three case-control studies in western Washington State, North Carolina, and Puerto Rico, totaling 555 cases (430 whites) and 792 controls (695 whites), we studied the risk of head and neck cancer in relation to common nonsynonymous single-nucleotide polymorphisms in four DNA repair genes: MGMT (Leu84Phe and Ile143Val), XRCC1 (Arg399Gln), XPD (Lys751Gln), and XRCC3 (Thr241Met). All single-nucleotide polymorphisms were assayed in a single laboratory. Among whites, carriage of the MGMT Phe84 [odds ratio (OR), 0.71; 95% confidence interval (95% CI), 0.51-0.98] or Val143 (OR, 0.66; 95% CI, 0.47-0.92) allele was associated with a decreased risk of head and neck cancer; the haplotype distribution for MGMT differed significantly between cases and controls (covariate-adjusted global permutation test, P = 0.012). The XRCC1 GlnGln399 genotype was also associated with decreased risk among whites (OR, 0.56; 95% CI, 0.32-0.94), whereas XPD751 and XRCC3241 were not associated with risk. Alcohol-related risks tended to vary with DNA repair genotypes, especially for MGMT variants, whereas no effect modification was noted with tobacco use. Consistent findings from three case-control studies suggest that selected DNA repair enzymes may play a role in head and neck carcinogenesis.

Tobacco and alcohol account for more than 75% of squamous cell head and neck cancer (oral, pharyngeal, and laryngeal cancer; ref. 1, 2), but specific carcinogenic mechanisms are unclear. Genetic factors are likely to play a role in head and neck cancer because only a small proportion of heavy tobacco and alcohol users develop this disease and the risk of head and neck cancer is higher among first-degree relatives of head and neck cancer cases, even after adjustment for smoking and alcohol (3). Metabolites of tobacco (4, 5) and alcohol (6-8) cause DNA damage by producing oxidative stress, alkylation, bulky adducts, and strand breaks. Altered DNA repair capacity may increase the risk of various cancers, including head and neck cancer (9-11).

There are several known DNA repair pathways, providing distinct but overlapping protection against mutagenetic exposures. The base excision repair pathway is involved in the removal of simple base modifications and oxidative DNA damage, such as single-strand breaks, nonbulky adducts, and alkylation adducts (12). The X-ray cross-complementing group 1 (XRCC1) gene product acts as a scaffold protein and coordinates the actions of polymerase β, DNA ligase III, and poly(ADP-ribose) polymerase in short-patch base excision repair (13). The XRCC1 Arg399Gln polymorphism is located in an evolutionarily conserved region of the gene and is hypothesized to alter the function of XRCC1 (14, 15). The nucleotide excision repair pathway primarily removes and repairs bulky adducts, but has been reported to play a role in repair of oxidative DNA damage as well (16, 17). The xeroderma pigmentosum group D (XPD; originally named excision repair cross complementing group 2) protein, a subunit of transcription factor IIH, is an evolutionarily conserved 5′→3′ helicase that unwinds the DNA in the region of DNA damage. The Gln751 variant, being located about 50 bases upstream from the poly(A) site, is suspected to alter XPD protein function (18), but functional results have been inconsistent (14, 19). The homologous recombination pathway repairs double-strand DNA breaks in the S-G2 phases of the cell cycle (20). The role of XRCC3 in homologous recombination is not entirely clear, however, it interacts with Rad51 (21), which catalyzes DNA strand exchange in homologous recombination, and XRCC3-deficient cell lines display reduced homologous recombination repair (22). The XRCC3 Met241 variant was significantly associated with higher DNA adduct levels (23) and homology-directed repair activity (24). O6-Methylguanine-DNA methyltransferase (MGMT, also named O6-alkylguanine-DNA alkyltransferase), is the principal mechanism for repairing O6-alkylguanine adducts (25). The alkyltransferase binds to and removes alkyl groups from the O6 position of guanine in a single step. Both the MGMT codon 84 and 143 variants are evolutionarily conserved (26, 27) and the MGMT143 polymorphism is close to the Cys145 alkyl acceptor site (26), but functional importance of either variant is unknown (25, 28).

It is unclear which DNA repair pathways or enzymes may be most important for protection against head and neck cancer. Previous studies suggested that single nucleotide polymorphisms (SNP) in XRCC1 and XPD may be associated with head and neck cancer risk (2932), but the findings have been inconsistent (29, 30, 32). To clarify the role of XRCC1 and XPD polymorphisms and to explore the role of other DNA repair pathways in susceptibility to head and neck cancer, we studied the risk of head and neck cancer in relationship to common amino acid substitution (nonsynonymous) SNPs in four DNA repair genes, XRCC1 (Arg399Gln), XPD (Lys751Gln), MGMT (Leu84Phe and Ile143Val), and XRCC3 (Thr241Met), in a pooled analysis of 555 cases and 792 controls, from three case-control studies.

Study Populations

The Washington Study is an aggregate of two population-based, case-control studies (33) conducted among western Washington state residents, including 407 cases with cancer of the oral cavity and pharynx and 615 controls. Controls were selected by random-digit telephone dialing, frequency-matched to the cases by age and sex. DNA was extracted from exfoliated buccal cells or venous blood for 92% of interviewed subjects (365 cases and 576 controls). The North Carolina Study is a hospital-based, case-control study (34) of 182 cases of squamous cell carcinoma of the oral cavity, pharynx, and larynx and 202 controls, frequency-matched to cases by age and gender. DNA was derived from blood or buccal swab samples for 97% of interviewed subjects (176 cases and 195 controls). Samples from this study were previously genotyped for XRCC1399 (29); however, all samples were reassayed for the pooled analysis. The Puerto Rico Study is a population-based, case-control study with 342 cases of oral and pharyngeal cancer and 521 controls frequency-matched to cases by age (35). DNA was extracted from buccal cell specimens for 52% of subjects eligible for sample collection (137 cases and 146 controls).

Genotyping

All samples were genotyped at the National Cancer Institute Core Genotyping Facility, using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (36) for the Washington Study samples and TaqMan (37) for the other samples (http://snp500cancer.nci.nih.gov). Internal laboratory quality controls consisted of Coriell DNA samples representing four of each genotype (homozygous major allele, heterozygous, and homozygous minor allele) for each polymorphism and four no template controls, in every 384 samples. External blinded quality controls (i.e., 89 duplicate or triplicate samples from 35 individuals) were also used for each polymorphism, showing ≥97% concordance for all assays except XRCC3241 (95% concordance).

Statistical Analysis

Departures from Hardy-Weinberg equilibrium were assessed among controls by race and study. Odds ratios (OR) and 95% confidence intervals (CI) were calculated by unconditional logistic regression, adjusting for gender, race, age, lifetime average use of smoking and alcohol, and study center (for pooled analyses). Random effect models were used to estimate the pooled ORs and 95% CIs for all five SNPs (P for heterogeneity: 0.9 for MGMT84, 0.7 for MGMT143, 0.2 for XRCC1399, 0.06 for XPD751, and 1.0 for XRCC3241). Departures from the multiplicative benchmark for the interaction between genotype and exposure (e.g., smoking or alcohol) were assessed by comparing nested models with and without cross-product terms using a likelihood ratio test. Head and neck cancer risks associated with haplotypes defined by the MGMT SNPs were assessed using HaploStats (http://www.mayo.edu/hsr/people/schaid.html), employing the expectation-maximization algorithm to estimate haplotypes and a global score test to assess overall differences in haplotype frequencies between cases and controls, adjusted for covariates (38, 39). Haplotype-associated risks were assessed for each study using the generalized linear model implemented in HaploStats and for the pooled analysis using random effect models.

Selected characteristics of the subjects in the three studies are displayed in Table 1. Most subjects were white (77% of cases and 88% of controls), male (77% of cases and 68% of controls), and >55 years of age (median age: cases, 59; controls, 58). Cigarette smoking and alcohol drinking were associated with increased risks of head and neck cancer in all three studies (data not shown), as well as in the pooled analysis (Table 2). Genotype distributions among controls were consistent with Hardy-Weinberg equilibrium in each study, and overall for whites, blacks, and other racial groups (P > 0.05).

Table 1.

Selected characteristics of the study populations

Washington
North Carolina
Puerto Rico
Pooled
Population based
Hospital based
Population based
Cases,* n = 279Controls, n = 472Cases,n = 159Controls, n = 183Cases,n = 117Controls, n = 137Cases,n = 555Controls, n = 792
Race, n (%)         
    White 259 (93) 443 (94) 94 (59) 159 (87) 77 (66) 93 (68) 430 (77) 695 (88) 
    Black 11 (4) 14 (3) 60 (38) 22 (12) 12 (10) 10 (7) 83 (15) 46 (6) 
    Others 9 (3) 15 (3) 5 (3) 2 (1) 28 (24) 34 (25) 42 (8) 51 (6) 
Gender, n (%)         
    Male 199 (71) 332 (70) 125 (79) 102 (56) 105 (90) 107 (78) 429 (77) 541 (68) 
    Female 80 (29) 140 (30) 34 (21) 81 (44) 12 (10) 30 (22) 126 (23) 251 (32) 
Education, n (%)         
    <High school (<12 y) 9 (4) 12 (3) 83 (52) 33 (18) 85 (73) 89 (65) 177 (33) 134 (17) 
    High school graduate (12 y) 101 (40) 125 (26) 38 (24) 51 (28) 18 (15) 14 (10) 157 (30) 190 (24) 
    Technical school 16 (6) 28 (6) 5 (3) 10 (6) 4 (3) 9 (7) 25 (5) 47 (6) 
    College 101 (40) 232 (49) 12 (8) 26 (14) 3 (3) 8 (6) 116 (22) 266 (33) 
    Graduate school 24 (10) 75 (16) 21 (13) 63 (34) 7 (6) 17 (12) 52 (10) 155 (20) 
Age (y)         
    Mean (SD) 56.0 (8.7) 55.0 (9.6) 60.0 (12.0) 58.0 (12.4) 65.0 (9.5) 67.0 (10.9) 58.0 (10.6) 58.0 (11.4) 
Smoking         
    Cigarettes/d 20.0 (15.5) 10.0 (15.7) 20.0 (14.2) 8.0 (17.1) 20.0 (19.3) 2.0 (16.2) 20.0 (16.1) 8.0 (16.2) 
    Total years of smoking 33.0 (16.9) 13.0 (16.0) 35.0 (16.1) 6.0 (16.6) 38.0 (19.3) 4.0 (19.5) 35.0 (17.3) 10.0 (16.8) 
Alcohol         
    Drinks/wk 11.8 (36.0) 3.7 (15.8) 20.9 (67.4) 1.0 (44.9) 60.0 (71.2) 4.4 (26.8) 19.0 (58.5) 3.5 (27.2) 
    Total years of drinking — — 30.0 (17.2) 3.0 (16.7) 38.0 (16.6) 31.0 (21.2) — — 
Washington
North Carolina
Puerto Rico
Pooled
Population based
Hospital based
Population based
Cases,* n = 279Controls, n = 472Cases,n = 159Controls, n = 183Cases,n = 117Controls, n = 137Cases,n = 555Controls, n = 792
Race, n (%)         
    White 259 (93) 443 (94) 94 (59) 159 (87) 77 (66) 93 (68) 430 (77) 695 (88) 
    Black 11 (4) 14 (3) 60 (38) 22 (12) 12 (10) 10 (7) 83 (15) 46 (6) 
    Others 9 (3) 15 (3) 5 (3) 2 (1) 28 (24) 34 (25) 42 (8) 51 (6) 
Gender, n (%)         
    Male 199 (71) 332 (70) 125 (79) 102 (56) 105 (90) 107 (78) 429 (77) 541 (68) 
    Female 80 (29) 140 (30) 34 (21) 81 (44) 12 (10) 30 (22) 126 (23) 251 (32) 
Education, n (%)         
    <High school (<12 y) 9 (4) 12 (3) 83 (52) 33 (18) 85 (73) 89 (65) 177 (33) 134 (17) 
    High school graduate (12 y) 101 (40) 125 (26) 38 (24) 51 (28) 18 (15) 14 (10) 157 (30) 190 (24) 
    Technical school 16 (6) 28 (6) 5 (3) 10 (6) 4 (3) 9 (7) 25 (5) 47 (6) 
    College 101 (40) 232 (49) 12 (8) 26 (14) 3 (3) 8 (6) 116 (22) 266 (33) 
    Graduate school 24 (10) 75 (16) 21 (13) 63 (34) 7 (6) 17 (12) 52 (10) 155 (20) 
Age (y)         
    Mean (SD) 56.0 (8.7) 55.0 (9.6) 60.0 (12.0) 58.0 (12.4) 65.0 (9.5) 67.0 (10.9) 58.0 (10.6) 58.0 (11.4) 
Smoking         
    Cigarettes/d 20.0 (15.5) 10.0 (15.7) 20.0 (14.2) 8.0 (17.1) 20.0 (19.3) 2.0 (16.2) 20.0 (16.1) 8.0 (16.2) 
    Total years of smoking 33.0 (16.9) 13.0 (16.0) 35.0 (16.1) 6.0 (16.6) 38.0 (19.3) 4.0 (19.5) 35.0 (17.3) 10.0 (16.8) 
Alcohol         
    Drinks/wk 11.8 (36.0) 3.7 (15.8) 20.9 (67.4) 1.0 (44.9) 60.0 (71.2) 4.4 (26.8) 19.0 (58.5) 3.5 (27.2) 
    Total years of drinking — — 30.0 (17.2) 3.0 (16.7) 38.0 (16.6) 31.0 (21.2) — — 

NOTE: Data expressed as n (%) or median (SD).

*

Cancers of tongue, gum, mouth floor, tonsils, and oropharynx.

Cancers of oral cavity, pharynx, and larynx.

Cancers of oral cavity (excluding lip and salivary glands) and pharynx (excluding nasopharynx).

Table 2.

Pooled analysis of head and neck cancer risk associated with smoking, alcohol, and selected DNA repair genotypes

All subjects
White subjects
Cases = 555, controls = 792
Cases = 430, controls = 695
n* (case, control)OR (95% CI)n* (case, control)OR (95% CI)
Smoking     
    Never 74, 309 1.0 67, 274 1.0 
    1-20 cigarettes/d 232, 316 2.23 (1.61-3.09) 167, 268 1.99 (1.40-2.82) 
    ≥21 cigarettes/d 214, 163 3.31 (2.30-4.77) 167,150 3.00 (2.04-4.39) 
    Ptrend  <0.001  <0.001 
Alcohol     
    Never or <1 drink/wk 77, 263 1.0 70, 233 1.0 
    1-20 drinks/wk 185, 409 1.39 (0.98-1.96) 160, 372 1.29 (0.90-1.85) 
    ≥21 drinks/wk 248, 111 5.58 (3.69-8.44) 167, 86 5.01 (3.21-7.81) 
    Ptrend  <0.001  <0.001 
MGMT84     
    LeuLeu 386, 529 1.0 315, 468 1.0 
    LeuPhe 117, 204 0.75 (0.56-1.02) 80, 179 0.72 (0.52-1.01) 
    PhePhe 11, 21 0.64 (0.26-1.60) 5, 18 0.41 (0.12-1.17) 
    LeuPhe+PhePhe  0.74 (0.55-1.00)  0.71 (0.51-0.98) 
    Ptrend  0.05  0.03 
MGMT143     
    IleIle 434, 570 1.0 325, 488 1.0 
    IleVal 96, 180 0.72 (0.52-0.99) 81, 172 0.64 (0.45-0.90) 
    ValVal 6, 12 0.66 (0.20-1.91) 6, 12 0.75 (0.23-2.19) 
    IleVal+ValVal  0.73 (0.53-1.00)  0.66 (0.47-0.92) 
    Ptrend  0.08  0.03 
XRCC1399     
    ArgArg 266, 338 1.0 187, 283 1.0 
    ArgGln 219, 338 0.91 (0.66-1.25) 184, 306 0.97 (0.73-1.30) 
    GlnGln 40, 81 0.40 (0.11-1.51) 33, 75 0.56 (0.32-0.94) 
    ArgGln+GlnGln  0.84 (0.65-1.09)  0.89 (0.67-1.17) 
    Ptrend  0.11  0.10 
XPD751     
    LysLys 240, 345 1.0 176, 296 1.0 
    LysGln 235, 325 1.04 (0.80-1.37) 188, 292 1.07 (0.80-1.44) 
    GlnGln 69, 105 1.03 (0.69-1.52) 61, 95 1.31 (0.70-2.43) 
    LysGln+GlnGln  1.04 (0.81-1.34)  1.10 (0.83-1.45) 
    Ptrend  0.82  0.49 
XRCC3241     
    ThrThr 232, 329 1.0 159, 267 1.0 
    ThrMet 223, 334 1.01 (0.76-1.33) 181, 309 0.98 (0.72-1.32) 
    MetMet 61, 97 1.15 (0.76-1.74) 54, 90 1.16 (0.75-1.80) 
    ThrMet+MetMet  1.04 (0.80-1.35)  1.02 (0.76-1.35) 
    Ptrend  0.60  0.64 
All subjects
White subjects
Cases = 555, controls = 792
Cases = 430, controls = 695
n* (case, control)OR (95% CI)n* (case, control)OR (95% CI)
Smoking     
    Never 74, 309 1.0 67, 274 1.0 
    1-20 cigarettes/d 232, 316 2.23 (1.61-3.09) 167, 268 1.99 (1.40-2.82) 
    ≥21 cigarettes/d 214, 163 3.31 (2.30-4.77) 167,150 3.00 (2.04-4.39) 
    Ptrend  <0.001  <0.001 
Alcohol     
    Never or <1 drink/wk 77, 263 1.0 70, 233 1.0 
    1-20 drinks/wk 185, 409 1.39 (0.98-1.96) 160, 372 1.29 (0.90-1.85) 
    ≥21 drinks/wk 248, 111 5.58 (3.69-8.44) 167, 86 5.01 (3.21-7.81) 
    Ptrend  <0.001  <0.001 
MGMT84     
    LeuLeu 386, 529 1.0 315, 468 1.0 
    LeuPhe 117, 204 0.75 (0.56-1.02) 80, 179 0.72 (0.52-1.01) 
    PhePhe 11, 21 0.64 (0.26-1.60) 5, 18 0.41 (0.12-1.17) 
    LeuPhe+PhePhe  0.74 (0.55-1.00)  0.71 (0.51-0.98) 
    Ptrend  0.05  0.03 
MGMT143     
    IleIle 434, 570 1.0 325, 488 1.0 
    IleVal 96, 180 0.72 (0.52-0.99) 81, 172 0.64 (0.45-0.90) 
    ValVal 6, 12 0.66 (0.20-1.91) 6, 12 0.75 (0.23-2.19) 
    IleVal+ValVal  0.73 (0.53-1.00)  0.66 (0.47-0.92) 
    Ptrend  0.08  0.03 
XRCC1399     
    ArgArg 266, 338 1.0 187, 283 1.0 
    ArgGln 219, 338 0.91 (0.66-1.25) 184, 306 0.97 (0.73-1.30) 
    GlnGln 40, 81 0.40 (0.11-1.51) 33, 75 0.56 (0.32-0.94) 
    ArgGln+GlnGln  0.84 (0.65-1.09)  0.89 (0.67-1.17) 
    Ptrend  0.11  0.10 
XPD751     
    LysLys 240, 345 1.0 176, 296 1.0 
    LysGln 235, 325 1.04 (0.80-1.37) 188, 292 1.07 (0.80-1.44) 
    GlnGln 69, 105 1.03 (0.69-1.52) 61, 95 1.31 (0.70-2.43) 
    LysGln+GlnGln  1.04 (0.81-1.34)  1.10 (0.83-1.45) 
    Ptrend  0.82  0.49 
XRCC3241     
    ThrThr 232, 329 1.0 159, 267 1.0 
    ThrMet 223, 334 1.01 (0.76-1.33) 181, 309 0.98 (0.72-1.32) 
    MetMet 61, 97 1.15 (0.76-1.74) 54, 90 1.16 (0.75-1.80) 
    ThrMet+MetMet  1.04 (0.80-1.35)  1.02 (0.76-1.35) 
    Ptrend  0.60  0.64 
*

n: pooled from Washington Study (279 cases and 472 controls), North Carolina Study (159 cases and 183 controls), and Puerto Rico Study (117 cases and 137 controls); numbers do not add up to the column totals due to missing values.

Estimated using a random effect model adjusted for gender, race, age, smoking, alcohol use, and center.

Exact estimate and 95% CI.

Among whites, carriage of the MGMT Phe84 allele or the MGMT Val143 allele was associated with decreased risk for head and neck cancer in all three studies (Fig. 1) and in the pooled analysis [OR, 0.71 (95% CI, 0.51-0.98) and OR, 0.66 (95% CI, 0.47-0.92), respectively]; similar associations were found for all ethnic groups combined (Table 2). The two MGMT SNPs were weakly linked (D′ = 0.31), and adjustment of one for the other led to comparable results. The genotype-based analysis for MGMT alleles is supported by the haplotype analysis showing different distributions for MGMT between cases and controls (pooled global permutation test: Padjusted = 0.01 for whites only, and Padjusted = 0.05 for all subjects combined). A similar reduction in risk was found for each of the MGMT haplotypes containing only one of the low-risk variants compared with the Leu84-Ile143 haplotype (data not shown). However, the haplotype containing both low-risk alleles was too rare (1%) to yield a precise estimate of risk.

Figure 1.

Results of the association between head and neck cancer and MGMT and XRCC1 genotypes in individual studies and pooled analyses. ORs and 95% CIs shown are for white subjects only, adjusted for gender, age, smoking, alcohol, and center (for pooled analysis).

Figure 1.

Results of the association between head and neck cancer and MGMT and XRCC1 genotypes in individual studies and pooled analyses. ORs and 95% CIs shown are for white subjects only, adjusted for gender, age, smoking, alcohol, and center (for pooled analysis).

Close modal

Among whites, XRCC1 Gln399 homozygotes were associated with a decreased risk of head and neck cancer compared with wild-type homozygotes in all three studies (Fig. 1), as well as the pooled analysis (OR, 0.56; 95% CI, 0.32-0.94). No independent associations were found for XPD751 or XRCC3241. Exclusion of the laryngeal cancers (n = 48) did not materially alter any of the results (data not shown).

Alcohol-related head and neck cancer risks tended to be less pronounced among carriers of MGMT Val143, XPD Gln751, or the XRCC3 Met241 allele (Table 3; P for interaction for all subjects: 0.06, 0.02, and 0.006, respectively, and for whites: 0.1, 0.02, and 0.008, respectively). For example, among whites who drank ≥21 drinks per week, carriage of MGMT Val143 allele was associated with a decreased risk (OR, 0.4; 95% CI, 0.2-0.8), whereas no clear association was found for light drinkers and abstainers; similar patterns were also found for all ethnic groups combined. Smoking-related risks did not vary substantially by genotype (data not shown).

Table 3.

Pooled analysis of head and neck cancer risk associated with the joint effect of alcohol use and DNA repair genotypes

Alcohol [OR* (95% CI); n (case, control)]
All subjects
White subjects
Never or <1 drink/wk1-20 drinks/wk≥21 drinks/wkPtrendNever or <1 drink/wk1-20 drinks/wk≥21 drinks/wkPtrend
MGMT84         
    LeuLeu 1.0 1.3 (0.9-1.9) 4.6 (2.8-7.4) <0.001 1.0 1.2 (0.8-1.9) 4.1 (2.5-6.9) <0.001 
 54, 165 137, 280 163, 80  50/146 121/254 116/66  
    PhePhe/LeuPhe 0.6 (0.3-1.2) 0.9 (0.5-1.5) 4.9 (2.6-9.3) <0.001 0.7 (0.3-1.3) 0.8 (0.5-1.3) 4.1 (2.0-8.5) <0.001 
 17, 79 39, 119 61, 23  15/70 32/109 35/17  
    P 0.2 0.1 0.8 Pinteraction = 0.2 0.2 0.05 1.0 Pinteraction = 0.4 
MGMT143         
    IleIle 1.0 1.4 (0.9-2.0) 6.4 (4.0-10.2) <0.001 1.0 1.3 (0.9-1.9) 5.6 (3.4-9.4) <0.001 
 59, 194 139, 295 202, 74  53/169 119/260 128/56  
    ValVal/IleVal 1.0 (0.5-1.8) 1.2 (0.7-2.0) 2.7 (1.5-5.1) 0.007 0.9 (0.5-1.7) 1.0 (0.6-1.7) 2.4 (1.2-4.8) <0.001 
 17, 59 38, 101 36, 30  16/55 34/101 29/27  
    P 0.9 0.5 0.004 Pinteraction = 0.06 0.7 0.2 0.01 Pinteraction = 0.1 
XRCC1399         
    ArgArg 1.0 1.2 (0.8-2.0) 4.5 (2.6-7.9) <0.001 1.0 1.1 (0.7-1.9) 3.6 (2.0-6.7) <0.001 
 38, 107 83, 171 122, 55  34/91 68/150 70/40  
    GlnGln/ArgGln 0.7 (0.4-1.1) 1.0 (0.6-1.7) 4.6 (2.6-8.1) <0.001 0.7 (0.4-1.2) 0.9 (0.6-1.6) 4.3 (2.4-7.8) <0.001 
 32, 141 92, 222 114, 52  31/129 82/207 87/43  
    P 0.1 0.4 0.9 Pinteraction = 0.3 0.1 0.4 0.5 Pinteraction = 0.1 
XPD751         
    LysLys 1.0 1.9 (1.1-3.2) 9.2 (5.0-17.0) <0.001 1.0 1.8 (1.0-3.2) 8.5 (4.3-16.7) <0.001 
 26, 120 75, 176 119, 44  22/105 63/156 79/34  
    GlnGln/LysGln 1.8 (1.0-3.0) 2.0 (1.2-3.4) 7.1 (4.0-12.7) <0.001 1.9 (1.1-3.4) 2.0 (1.1-3.5) 6.9 (3.7-12.9) <0.001 
 49, 137 107, 227 123, 62  47/124 94/210 87/50  
    P 0.05 0.7 0.3 Pinteraction = 0.02 0.03 0.7 0.5 Pinteraction = 0.02 
XRCC3241         
    ThrThr 1.0 2.4 (1.4-4.3) 11.4 (5.9-21.9) <0.001 1.0 2.2 (1.2-4.1) 11.1 (5.3-23.2) <0.001 
 20, 116 79, 164 118, 44  17/96 63/141 68/28  
    MetMet/ThrMet 2.1 (1.2-3.7) 2.1 (1.2-3.7) 8.3 (4.5-15.4) <0.001 1.9 (1.0-3.6) 1.9 (1.0-3.5) 7.1 (3.6-13.8) <0.001 
 49, 138 89, 228 118, 61  45/128 81/216 88/53  
    P 0.02 0.4 0.2 Pinteraction = 0.006 0.04 0.5 0.1 Pinteraction = 0.008 
Alcohol [OR* (95% CI); n (case, control)]
All subjects
White subjects
Never or <1 drink/wk1-20 drinks/wk≥21 drinks/wkPtrendNever or <1 drink/wk1-20 drinks/wk≥21 drinks/wkPtrend
MGMT84         
    LeuLeu 1.0 1.3 (0.9-1.9) 4.6 (2.8-7.4) <0.001 1.0 1.2 (0.8-1.9) 4.1 (2.5-6.9) <0.001 
 54, 165 137, 280 163, 80  50/146 121/254 116/66  
    PhePhe/LeuPhe 0.6 (0.3-1.2) 0.9 (0.5-1.5) 4.9 (2.6-9.3) <0.001 0.7 (0.3-1.3) 0.8 (0.5-1.3) 4.1 (2.0-8.5) <0.001 
 17, 79 39, 119 61, 23  15/70 32/109 35/17  
    P 0.2 0.1 0.8 Pinteraction = 0.2 0.2 0.05 1.0 Pinteraction = 0.4 
MGMT143         
    IleIle 1.0 1.4 (0.9-2.0) 6.4 (4.0-10.2) <0.001 1.0 1.3 (0.9-1.9) 5.6 (3.4-9.4) <0.001 
 59, 194 139, 295 202, 74  53/169 119/260 128/56  
    ValVal/IleVal 1.0 (0.5-1.8) 1.2 (0.7-2.0) 2.7 (1.5-5.1) 0.007 0.9 (0.5-1.7) 1.0 (0.6-1.7) 2.4 (1.2-4.8) <0.001 
 17, 59 38, 101 36, 30  16/55 34/101 29/27  
    P 0.9 0.5 0.004 Pinteraction = 0.06 0.7 0.2 0.01 Pinteraction = 0.1 
XRCC1399         
    ArgArg 1.0 1.2 (0.8-2.0) 4.5 (2.6-7.9) <0.001 1.0 1.1 (0.7-1.9) 3.6 (2.0-6.7) <0.001 
 38, 107 83, 171 122, 55  34/91 68/150 70/40  
    GlnGln/ArgGln 0.7 (0.4-1.1) 1.0 (0.6-1.7) 4.6 (2.6-8.1) <0.001 0.7 (0.4-1.2) 0.9 (0.6-1.6) 4.3 (2.4-7.8) <0.001 
 32, 141 92, 222 114, 52  31/129 82/207 87/43  
    P 0.1 0.4 0.9 Pinteraction = 0.3 0.1 0.4 0.5 Pinteraction = 0.1 
XPD751         
    LysLys 1.0 1.9 (1.1-3.2) 9.2 (5.0-17.0) <0.001 1.0 1.8 (1.0-3.2) 8.5 (4.3-16.7) <0.001 
 26, 120 75, 176 119, 44  22/105 63/156 79/34  
    GlnGln/LysGln 1.8 (1.0-3.0) 2.0 (1.2-3.4) 7.1 (4.0-12.7) <0.001 1.9 (1.1-3.4) 2.0 (1.1-3.5) 6.9 (3.7-12.9) <0.001 
 49, 137 107, 227 123, 62  47/124 94/210 87/50  
    P 0.05 0.7 0.3 Pinteraction = 0.02 0.03 0.7 0.5 Pinteraction = 0.02 
XRCC3241         
    ThrThr 1.0 2.4 (1.4-4.3) 11.4 (5.9-21.9) <0.001 1.0 2.2 (1.2-4.1) 11.1 (5.3-23.2) <0.001 
 20, 116 79, 164 118, 44  17/96 63/141 68/28  
    MetMet/ThrMet 2.1 (1.2-3.7) 2.1 (1.2-3.7) 8.3 (4.5-15.4) <0.001 1.9 (1.0-3.6) 1.9 (1.0-3.5) 7.1 (3.6-13.8) <0.001 
 49, 138 89, 228 118, 61  45/128 81/216 88/53  
    P 0.02 0.4 0.2 Pinteraction = 0.006 0.04 0.5 0.1 Pinteraction = 0.008 
*

Adjusted for gender, race, age, smoking, and center.

Consistent results from three case-control studies and a pooled analysis, totaling 555 head and neck cancer cases and 792 controls, suggest that genetic variations in MGMT84, MGMT143, and XRCC1399 influence susceptibility to head and neck cancer. Moreover, the MGMT143 variant may modify alcohol-related risk.

MGMT encodes O6-alkylguanine DNA alkyltransferase, which preferentially removes O6-guanine alkyl adducts caused by carcinogens, such as 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone found in tobacco smoke (40), and the Val143 allele has previously been related to increased lung cancer risk in two small studies (each with ∼130 cases; refs. 28, 41). In our study, Val143 was associated with reduced head and neck cancer risk, particularly among heavy drinkers. In vivo and in vitro experiments show that MGMT-mediated repair of alkylated DNA is reduced by treatment with ethanol or its primary metabolite, acetaldehyde (42, 43), possibly due to MGMT inhibition (44). Although the functional importance of either the MGMT codon 84 or 143 variants is unknown (25, 28), both are evolutionarily conserved (26, 27) and the MGMT143 polymorphism is close to the Cys145 alkyl acceptor site (26). Observed associations may also be due to linkage with other functional variants (45), such as the MGMT variant in the promoter-enhancer region found to be associated with increased MGMT activity in cell lines (46).

We found a consistently decreased risk of head and neck cancer in the three studies for the XRCC1 Gln399 homozygote, in comparison with a marginally increased risk and no association reported in smaller studies of head and neck cancer among U.S. whites (30) and Koreans (with approximately 203 and 147 cases, respectively; ref. 32). Functional data do not help clarify this: the Gln399 variant has been associated with excess DNA damage (14, 15), increased p53 mutations (47), and reduced DNA capacity (48); in other studies, no effect was noted on DNA repair capacity (49) and a nonsignificant reduction in DNA adduct levels was found among smokers (23). Possible explanations for the discordance of findings include the following: The sample sizes in these functional studies were generally small making the estimates unstable. The effect of the XRCC1 variant on DNA repair capacity may differ with type and strength of the DNA damaging exposures. The studied variant in association with reduced head and neck cancer risk may be in linkage with other unidentified functional variants that account for increased cancer risk. Also, cells with reduced DNA capacity may undergo apoptosis instead of repair if there is extensive DNA damage. Alternatively, some of these results may be chance findings.

We observed more heterogeneity in results across the three studies for the XPD Gln751 variant (no associations in the Washington and Puerto Rio studies and an increased risk in the North Carolina study) yielding no overall association with head and neck cancer. This was not consistent with a marginally increased risk previously reported (189 head and neck cancer cases; ref. 31). The LysLys751 genotype was associated with higher number of chromatid aberrations (19), but not with polyphenol DNA adducts (14). We found no effect with the XRCC3 Thr241Met polymorphism, consistent with results from a French study of 121 oral/pharynx and 129 larynx cancer cases (50). We are less convinced of the statistical interactions seen between alcohol use and the XPD751 and XRCC3241 polymorphisms because of lack of an independent main effect for the genotype, lack of biological support for the association, and the heterogeneous results of XPD751 between the studies.

Based on a study of selected genes and SNPs, we found that MGMT and perhaps XRCC1 may be important in head and neck carcinogenesis, but potential roles by other DNA repair genes not evaluated cannot be ruled out. Also, although our study had a relatively large sample size, interaction ORs were imprecise and the role of chance cannot be dismissed. Future studies on exposure-specific (e.g., alcohol) and tumor tissue–specific expression patterns (as opposed to lymphocytes as a surrogate), evaluated in the context of a better characterized gene haplotype structure (rather than one SNP at a time), may help advance our understanding. Future large epidemiologic studies to replicate our results on these SNPs and to explore other DNA repair genes and SNPs are also needed.

This is the first report to show that MGMT polymorphisms are associated with head and neck cancer risk, as shown in three separate geographic regions. Further epidemiologic studies are needed to clarify the effects of MGMT and other DNA repair genes in head and neck cancer risk, and to elaborate interactions with alcohol and other exposures.

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.

We thank Dr. Eleuterio Bravo-Otero of the University of Puerto Rico, Dr. Deborah M. Winn of the National Cancer Institute, and Dr. William J. Blot of the International Epidemiology Institute for their contributions to the Puerto Rico Study. We also thank Dr. Mark Weissler of the University of North Carolina and Sherianne Ricks, E. Dawn Fitzgibbons, and David R. Doody of the Fred Hutchinson Cancer Research Center for their assistance with the North Carolina and the Washington Studies.

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