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Carcinogenesis, Vol. 22, No. 9, 1437-1445, September 2001
© 2001 Oxford University Press


MOLECULAR EPIDEMIOLOGY AND CANCER PREVENTION

XRCC1, XRCC3, XPD gene polymorphisms, smoking and 32P-DNA adducts in a sample of healthy subjects

Giuseppe Matullo1,2, Domenico Palli3, Marco Peluso4, Simonetta Guarrera1, Sonia Carturan1, Egidio Celentano5, Vittorio Krogh6, Armelle Munnia4, Rosario Tumino7, Silvia Polidoro8, Alberto Piazza1 and Paolo Vineis8,9

1 Dipartimento di Genetica, Biologia e Biochimica, Università di Torino, 10126, Torino,
2 ISI Foundation, Institute for Scientific Interchange, Villa Gualino, 10133, Torino,
3 Unità di Epidemiologia, CSPO, 50135, Firenze,
4 Servizio di Oncologia Sperimentale, Istituto Nazionale per la Ricerca sul Cancro (IST), 16132, Genova,
5 Servizio di Epidemiologia, Istituto Nazionale Tumori, 80131, Napoli,
6 Unità di Epidemiologia, Istituto Nazionale Tumori, 20100, Milano,
7 Registro Tumori–Azienda Ospedaliera `Civile–M.P. Arezzo', 97100, Ragusa and
8 Unità di Epidemiologia dei Tumori, Dipartimento di Scienze Biomediche e Oncologia Umana, Via Santena 7, 10126, Torino, Italy


    Abstract
 Top
 Abstract
 Introduction
 Materials and methods
 Results
 Discussion
 References
 
DNA repair genes have an important role in protecting individuals from cancer-causing agents. Polymorphisms in several DNA repair genes have been identified and individuals with non-dramatic reductions in the capacity to repair DNA damage are observed in the population, but the impact of specific genetic variants on repair phenotype and cancer risk has not yet been clarified. In 308 healthy Italian individuals belonging to the prospective European project EPIC, we have investigated the relationship between DNA damage, as measured by 32P-DNA adduct levels, and three genetic polymorphisms in different repair genes: XRCC1-Arg399Gln (exon 10), XRCC3-Thr241Met (exon 7) and XPD-Lys751Gln (exon 23). DNA adduct levels were measured as relative adduct level (RAL) per 109 normal nucleotides by DNA 32P-post-labelling assay in white blood cells from peripheral blood. Genotyping was performed by PCR–RFLP analysis. The XRCC3-241Met variant was significantly associated with higher DNA adduct levels, whereas XRCC1-399Gln and XPD-751Gln were associated with higher DNA adduct levels only in never-smokers. XRCC3-241Met homozygotes had an average DNA adduct level of 11.44 ± 1.48 (±SE) compared with 7.69 ± 0.88 in Thr/Met heterozygotes and 6.94 ± 1.11 in Thr/Thr homozygotes (F = 3.206, P = 0.042). Never-smoking XRCC1-399Gln homozygotes had an average DNA adduct level of 15.60 ± 5.42 compared with 6.16 ± 0.97 in Gln/Arg heterozygotes and 6.78 ± 1.10 in Arg/Arg homozygotes (F = 5.237, P = 0.007). A significant odds ratio (3.81, 95% CI 1.02–14.16) to have DNA adduct levels above median value was observed for XPD-751Gln versus XPD-751Lys never-smoking homozygotes after adjustment for several confounders. These data show that all the analysed polymorphisms could result in deficient DNA repair and suggest a need for further investigation into the possible interactions between these polymorphisms, smoking and other risk factors.

Abbreviations: BER, base excision repair; EPIC, European Prospective Investigation into Cancer and Nutrition; NER, nucleotide excision repair; OR, odds ratio; RAL, relative adduct level; SE, standard error; WBC, white blood cells; XPD, xeroderma pigmentosum-D gene; XRCC 1–3, X-ray repair cross complementing groups 1–3.


    Introduction
 Top
 Abstract
 Introduction
 Materials and methods
 Results
 Discussion
 References
 
Several studies have documented that the genes involved in DNA repair and maintenance of genome integrity are critically involved in protecting against mutations that lead to cancer and/or inherited genetic disease (13). Molecular epidemiology studies have shown that inheritance of genetic variants at one or more loci results in a reduced DNA repair capacity and an increase in the individual risk of cancer (49). These polymorphisms, although generally associated with a slight increase in the risks of cancer, are highly prevalent in the population, and therefore the attributable risks for cancer could be high. In addition, a large number of investigations have shown that phenotypic tests, indirectly related to repair, are predictive of cancer occurrence (10).

In the present study of 308 healthy adults from the Italian EPIC cohort (1112), we have correlated DNA damage, measured by 32P-DNA adduct levels, with genetic polymorphisms in three DNA repair genes, representing three different repair pathways. The proteins involved are members of multiprotein complexes, in which amino acid residues at protein–protein interfaces or in the active site may determine protein function. XRCC1 (X-ray repair cross-complementing) plays a role in the base excision repair (BER) pathway, interacts with DNA polymerase ß, PARP and DNA ligase III (13) and has a BCRT domain, characteristic of proteins involved in cycle checkpoint functions and responsive to DNA damage (14). Ionizing radiation and alkylating agents cause DNA base damage and strand breaks that elicit the BER system (1516). The Arg399Gln polymorphism resides at the C-terminal side of the PARP-interacting domain and within a relatively non-conserved region between conserved residues of the BRCT domain.

XRCC3 participates in DNA double-strand break/recombination repair and is a member of an emerging family of Rad-51-related proteins (17) that probably participate in homologous recombination to maintain chromosome stability and repair DNA damage (1822). XRCC3 is shown to interact directly with HsRad51, and like Rad55 and Rad57 in yeast, may cooperate with HsRad51 during recombinational repair (23). The T241M substitution in XRCC3 is a non-conservative change, but it does not reside in the ATP-binding domains, which are the only functional domains that have been identified in the protein at this time (24).

XPD is involved in the nucleotide-excision repair (NER) pathway (25), which recognizes and repairs a wide range of structurally unrelated lesions such as bulky adducts and thymidine dimers (2628). XPD works as an ATP-dependent 5'-3' helicase joined to the basal transcription factor IIH (TFIIH) complex (2930). The XPD-Lys751Gln substitution does not reside in any known or hypothesized helicase/ATPase domains (24,31).

The lack of any observed variation in known functional domains of these proteins is not surprising, given that amino acid substitutions in these critical domains could cause loss of function and disease or embryo lethality. Biochemical and biological characterization of these variants, especially the non-conservative amino acid substitutions, and molecular epidemiology studies on cancer will provide insights into the potential for these variants to be cancer susceptibility alleles.

Two of the polymorphisms analysed, XRCC3-Thr241Met and XRCC1-Arg399Gln, are non-conservative amino acid changes with a potential functional relevance, even though their effect on phenotype has to be elucidated. The XPD-Lys751Gln polymorphism is a conservative substitution which has been chosen because of its high frequency.

We report here the relationship between the above polymorphisms and DNA damage, measured by 32P-DNA adduct levels in peripheral leucocytes, in 308 healthy adults from the Italian EPIC cohort (11,12).


    Materials and methods
 Top
 Abstract
 Introduction
 Materials and methods
 Results
 Discussion
 References
 
Subjects
The Italian section of the large European project EPIC (11), a prospective study on diet and cancer, is based on 47 749 volunteers of both sexes (age 35–64 years) enrolled between 1993 and 1998 in five centres across different areas of the country: Varese and Turin (12 083 and 10 604 volunteers) in Northern Italy; Florence (13 597) in Central Italy; Ragusa (6403) and Naples (5062 women) in Southern Italy. An informed consent form was signed by all subjects prior to enrollment in the study. Detailed information about diet and life-style habits has been recorded for each subject and a blood sample has been collected and stored in liquid nitrogen.

A random sample of 308 subjects (153 men), stratified by age, sex and area of residence, was selected from the three main geographical areas where the study was conducted (Northern Italy: Varese, 53 and Turin, 53; Central Italy: Florence, 100; Southern Italy: Ragusa, 76 and Naples, 26). For a complete description of the different sociodemographic and anthropometric characteristics of the sample see Palli et al. (12).

One buffy coat straw has been retrieved for each subject included in this sample and shipped on dry ice to the study laboratory at the National Cancer Institute (IST) in Genoa for DNA extraction by phenol–chloroform (32). Aliquots of the DNA samples were then shipped to Turin University for DNA repair polymorphism analysis.

Detection of DNA adducts
All analyses concerning white blood cell (WBC) DNA adducts were carried out at IST, Genoa, as described in Palli et al. (12). Leukocyte DNA adducts levels were measured as relative adduct labelling (RAL)x109 normal nucleotides, using the nuclease P1 modification of the 32P-post-labelling technique; the detection limit was 0.1 adduct per 109 normal nucleotides (12). The analyses were carried out blind prior to decoding. One standard was routinely included in the analyses, i.e. benzo[a]pyrene DNA adducts, from liver of mice treated intraperitoneally with 0.06 mg/kg B[a]P for 24 h (30). The average levels of B[a]P DNA adducts were 51 ± 1.0 (SE) per 109 nucleotides.

Polymorphism analysis
Polymerase chain reaction (PCR) followed by enzymatic digestion was used for the genotyping of the XRCC1-Arg399Gln, XPD-Lys751Gln and XRCC3-Thr241Met polymorphisms (24). All of the PCR reactions were performed in a total reaction volume of 20 µl containing 10 ng genomic DNA, 0.4 U Taq polymerase (PE Applied Biosystems) in 1x PCR buffer, 1.5 mM MgCl2, 50 mM dNTPs and 250 nM each primer. Thermal cycling conditions were as follows: initial denaturation step at 95°C for 3 min, 35 cycles of PCR consisting of 95°C for 20 s, 20 s at the appropriate annealing temperature and 72°C for 20 s, followed by a final extension step at 72°C for 5 min.

The XRCC1-Arg399Gln polymorphism, a G->A transition in exon 10 (position 28 152) was determined using the following primers: sense, 5'-CAAGTACAGCCAGGTCCTAG-3'; antisense, 5'-CCTTCCCTCATCTGGAGTAC-3', 55°C annealing temperature for the PCR reaction. The 248 bp PCR product was digested with NciI (Promega): the Arg allele was cut into 89 and 159 bp fragments (Gln allele not digested).

The XPD-Lys751Gln polymorphism, a A->C transversion in exon 23 (position 35 931) was determined using the following primers: sense, 5'-CTGCTCAGCCTGGAGCAGCTAGAATCAGAGGAGACGCTG-3'; antisense, 5'-AAGACCTTCTAGCACCACCG-3', 67°C annealing temperature for the PCR reaction. The 161 bp PCR product was digested with PstI (Promega): the Lys allele was cut into 41 and 120 bp fragments (Gln allele not digested).

The XRCC3-Thr241Met polymorphism, a T->C transition in exon 7 (position 18 067) was determined using the following primers: sense, 5'-GCCTGGTGGTCATCGACTC-3'; antisense, 5'-ACAGGGCTCTGGAAGGCACTGCTCAGCTCACGCACC-3' (underlined base modifies primer sequence introducing a restriction site in the presence of the T nucleotide), 60°C annealing temperature for the PCR reaction. The 136 bp PCR product was digested with NcoI (Promega): the Thr allele was cut into 39 and 97 bp fragments (Met allele not digested).

As DNA typing quality control for the three polymorphisms, a methodological validation has been performed (33) including a comparison among PCR–RFLP, direct sequencing, and denaturing high performance liquid chromatography (DHPLC) by using the primer extension technique (34). Due to the small amount of DNA available for the EPIC subjects, we used a set of 50 individuals belonging to a cardiovascular disease study to check the presence of false negatives/positives genotyped by the restriction digestion method. All DHPLC typings confirmed the PCR–RFLP results.

Statistical methods
The significance of the differences among genotypes for 32P-post-labeling DNA adduct levels was estimated both by non parametric tests, i.e. Mann–Whitney and Kruskal–Wallis rank sum tests, and by Student's t-test and ANOVA F-test when differences between two or more groups were compared.

The chi-square statistic with Yates correction, or the Fisher exact test when appropriate, were used to test associations of categorical data. Multivariate logistic regression analysis was carried out to calculate odds ratios (OR) adjusted for different possible confounders (age, sex, body mass index, centre of origin, month and year of blood drawing, smoking status) (12) by using a dichotomous variable for DNA adduct levels (above/below 4.9 per 109 RAL, median value; or, detectable/undetectable measurements).

Values of P <= 0.05 were considered significant. All the analysis were performed by the statistical package SPSS (version 5.0.1).


    Results
 Top
 Abstract
 Introduction
 Materials and methods
 Results
 Discussion
 References
 
Sample characteristics
A complete description of 32P-DNA adduct levels according to different sociodemographic and anthropometric characteristics of the sample is reported in Palli et al. (12).

No significant difference has been observed in 32P-DNA adduct levels among current smokers (7.92 ± 1.24), ex-smokers (8.78 ± 1.11) and never-smokers (7.74 ± 1.00), whereas a significant difference (P < 0.001) exists among the centres participating to the study: Varese (6.29 ± 1.14), Turin (7.33 ± 1.43), Florence (10.98 ± 1.15), Ragusa (5.22 ± 1.35) and Naples (10.81 ± 2.26). We investigated whether these differences could be associated with a different distribution of repair genotypes among regions of residence, but no statistically significant difference in genotype frequency occurred (Figure 1Go).



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Fig. 1. Genotype frequencies (percentages on y axis) for the three DNA repair polymorphisms in the three Italy regions of residence: Northern (Varese and Torino), Central (Florence) and Southern Italy (Ragusa and Naples).

 
DNA repair gene frequencies
Genotype and allele frequencies for the three polymorphisms analysed were calculated by direct counting and genotype distributions were in Hardy–Weinberg equilibrium. Overall genotype frequencies are reported in Table IGo. Allele frequencies were as follows: XRCC1-399Arg/Gln, 0.66/0.34; XRCC3-241Thr/Met, 0.58/0.42 and XPD-751Lys/Gln, 0.59/0.41.


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Table I. Distribution of 308 Italian EPIC individuals according to detectable/undetectable levels of DNA adducts or for above/below DNA adduct median values, for three DNA repair genotypes, and for the wild-type allele homozygotes versus subjects with at least one variant allele
 
A difference in the genotype distribution across separate categories of DNA adduct levels was observed only for the XRCC3-Thr241Met polymorphism (Table IGo). When subjects were classified in separate groups according to the presence/absence of detectable DNA adducts ({chi}2 = 5.622, P = 0.06), and above/below median DNA adduct levels ({chi}2 = 11.819, P = 0.003), a significant odds ratio (OR) emerged by the comparison of XRCC3-241Met homozygotes with XRCC3-241Thr homozygotes (crude OR 2.73, 95% CI 1.16–6.42 and OR 3.19, 95% CI 1.58–6.42, respectively). To take into account the effects of several confounders (age, sex, BMI, centres, month and year of blood drawing and smoking status) multivariate logistic regression analyses were also carried out; OR values were only slightly modified and still significant (adjusted OR 2.68, 95% CI 1.07–6.68; OR 4.01, 95% CI 1.82–8.83, respectively).

DNA repair genotypes, smoking status and DNA adduct levels
Stratifying the analysis by smoking status (Table IIGo), the difference in the distribution of subjects with DNA adduct levels above/below the median value was still significant for the XRCC3 polymorphism (Met/Met versus Thr/Thr genotypes) in never-smokers ({chi}2 = 7.68, P = 0.021), both as crude and adjusted estimates (OR 4.32, 95% CI 1.38–13.57 and OR 5.34, 95% CI 1.44–19.75, respectively). In ex-smokers the OR adjusted estimate, 5.81 (95% CI 1.10–30.72), was statistically significant, but it was not in current smokers, OR 3.64 (95% CI 0.68–19.51).


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Table II. Distribution of 308 Italian EPIC individuals and DNA adducts levels above/below median for the three DNA repair genotypes, and for the wild-type allele homozygotes versus subjects with at least one variant allele according to the smoking status
 
Interestingly enough, in the never-smoker group also the XPD-Gln and XRCC1-Gln homozygotes seem to be at higher risk of having DNA adducts above the median compared with wild-type homozygotes (adjusted OR 3.81, 95% CI 1.02–14.16 and 3.00, 95% CI 0.80–11.28, respectively).

Very similar results emerged from the analysis of mean and median adducts in the overall sample and in the different groups according to smoking status (Table IIIGo, Figure 2A–CGo). The XRCC3-241Met variant was significantly associated with higher DNA adduct levels, whereas XRCC1-399Gln was associated exclusively in never-smokers. XRCC3-241Met homozygotes had an average DNA adduct level of 11.44 ± 1.48 (±SE) compared with 7.69 ± 0.88 in Thr/Met heterozygotes and with 6.94 ± 1.11 in Thr/Thr homozygotes (F = 3.206, P = 0.042). Never-smoking XRCC1-399Gln homozygotes had an average DNA adduct level of 15.60 ± 5.42 compared with 6.16 ± 0.97 in Gln/Arg heterozygotes and with 6.78 ± 1.10 in Arg/Arg homozygotes (F = 5.237, P = 0.007). A higher DNA–adduct level was observed in XPD-751Gln never-smoking homozygotes (10.14 ± 2.14) compared with Lys/Gln and Lys/Lys carriers (7.06 ± 1.03 and 7.76 ± 2.40, respectively) (Figure 2CGo), although the difference was not statistically significant.


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Table III. Mean (± standard error) and median levels of DNA adducts per 109 normal nucleotides for the DNA repair genotypes, according to smoking status
 




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Fig. 2. Box plot representation of DNA adduct levels (RAL) per 109 normal nucleotides in the overall sample according to smoking status and to the different DNA repair genotypes: (A) XRCC1-Arg399Gln; (B) XRCC3-Thr241Met and (C) XPD-Lys751Gln. The box bounds the first and third quartiles (interquartile range), encompasses 50% of the data and includes the median (line within the box). Dispersion of the data above and below this range is marked by `whiskers' that extend to the most extreme values within a `fence' at 1.5 times the interquartile range.

 
In the whole series, homozygotes for one of the three polymorphic genotypes varied between 11.1 for XRCC1 and 17.9% for XRCC3. Overall, 16/308 (5.2%) subjects resulted in homozygotes for the polymorphic variant at two of the three loci analysed; no triple homozygote was identified. In particular, four subjects were homozygotes for both the XRCC1-399Gln and XRCC3-241Met variants (4/308, 1.3%) and a possible interaction is suggested, the double unfavorable homozygote XRCC1/XRCC3 having higher 32P-DNA adducts compared with the remaining genotypes (26.08 ± 7.74 versus 7.89 ± 0.62; t = –3.303, P = 0.001).


    Discussion
 Top
 Abstract
 Introduction
 Materials and methods
 Results
 Discussion
 References
 
In 308 healthy Italian EPIC individuals we have studied the relationship between three genetic polymorphisms of different DNA repair genes (XRCC1, XRCC3 and XPD) and DNA damage, as measured by 32P-DNA adduct levels. Our study suggests that all the analysed variants could result in deficient DNA repair.

The XRCC1-399Gln variant frequency (0.34) is similar to that reported by Lunn et al. (36) for the Caucasoid population (0.37), but different from the one estimated by Shen et al. (24) analysing DNA sequence in 12 individuals (0.25). The XPD-751Gln frequency is higher (0.41) than those estimated in the US (0.29) (24) and in the UK (0.30) (37), but similar to the frequency calculated by Duell et al. (38) in the US (0.39). Finally, in our sample the XRCC3-241Met frequency is similar (0.42) to that reported by Shen et al. (0.38) (24) and higher than that described by Winsey et al. (35) in the UK (0.30).

To investigate whether the XRCC1-Arg399Gln (exon 10), XRCC3-Thr241Met (exon 7) and XPD-Lys751Gln (exon 23) polymorphisms were associated with differences in DNA repair, which might be reflected in levels of genotoxic damage, we compared 32P-DNA adduct levels in WBC from peripheral blood (Tables I– IIIGoGoGo). Considering the overall sample, a significant difference among genotypes and 32P-DNA adduct levels (Table IIIGo) was only observed for the XRCC3-241Met variant (Thr/Thr = 6.94 ± 1.11, Thr/Met = 7.69 ± 0.88, Met/Met = 11.44 ± 1.48; F = 3.206, P = 0.042). Interestingly, when the population was split into current smokers, ex-smokers and never-smokers, a significant difference was also observed for XRCC1 and XPD polymorphisms but only in never-smoking subjects (Tables II–IIIGoGo). Similar results were obtained by calculating the risks (OR) of having DNA adduct levels above the median value, according to different genotypes for each polymorphism (Table IIGo).

Since in the overall population we have not found a significant difference in 32P-DNA adduct levels among current smokers (7.92 ± 1.24), ex-smokers (8.78 ± 1.11) and never-smokers (7.74 ± 1.00), it is interesting to observe such differences among genotypes when stratifying by smoking status (Table IIIGo, Figure 2A–CGo). In previous studies, a significant relationship has been described between smoking status and bulky DNA adduct levels, as determined by 32P-post-labelling assay and other methods, in tissues in which smoking-related cancers may occur (3943). Such evidence suggests that the difference in DNA adduct levels between smokers and non-smokers is more easily detectable in the target tissues of tobacco smoke (where higher adduct accumulation is expected), and less or not evident in WBC from peripheral blood, unless we consider the effect of other variables, such as the different DNA repair genotypes.

Interestingly enough, analysing 41 nasal mucosa biopsies we observed the same behaviour in 32P-DNA adduct levels for the same three DNA repair polymorphisms stratifying by smoking status, with the smoker group having higher mean adduct levels (unpublished data).

One possible explanation could be that smoking, both in WBC and target tissues of smoking, also alters the levels by triggering and up-regulating DNA repair enzymes, flattening or even reversing the difference among the analysed genotypes with possibly different repair efficiency (Figure 2A–CGo). Indeed, Wei et al. (44) showed that heavy smokers among both lung cancer patients and control subjects tended to have more proficient DNA repair capacity (DRC) in lymphocytes than lighter smokers, suggesting that cigarette smoking may, in fact, stimulate DRC in response to the DNA damage caused by tobacco carcinogens.

Previous studies showed that XRCC1-399Gln may be associated with increased DNA damage measured by aflatoxin B1–DNA adducts, glycophorin A (GPA) variant frequency (36), sister chromatid exchange and polyphenol DNA adducts (38). In contrast to our study, Lunn et al. (36) found a significant association for the NN GPA variant frequency in smoking subjects, while the never-smoking group analysed was very small (10 individuals). A positive association has also been found with squamous cell carcinoma of the head and neck (6), gastric cancer (45) and adenocarcinoma of the lung (46). Contrasting results have also been described (31) for XPD-Lys751Gln, in which the Lys/Lys XPD-751 genotype was found to be associated with reduced repair of X-ray-induced cytogenetic damage measured by chromatid aberrations. Another study by Dybdhal et al. (7) reported that individuals with the common allele (Lys751) had an elevated risk of basal cell carcinoma, whereas a recent study found no effect of XPD on polyphenol DNA adducts (38).

A possible explanation for these results is that amino acid variants in different domains of XPD may not only affect different protein interactions, resulting in the expression of different phenotypes (47), but also the same XPD-Lys751Gln polymorphism may have divergent effects in different DNA repair pathways and on different types of DNA damage. Moreover, this conservative substitution could be in linkage with another responsible XPD variant; in this case it is possible that different populations have different alleles in linkage disequilibrium with the responsible XPD variant.

In the present report we have found a clear association between the XRCC3-241Met variant and 32P-DNA adduct levels in a sample of 308 EPIC subjects. This association indicates a possible role of the XRCC3 gene in repairing bulky WBC DNA adducts, a novel function with respect to its known functions in DNA double-strand break/recombination repair. Few studies have been conducted regarding the XRCC3 polymorphism's involvement in cancer: one study reported evidence of an association between a rare microsatellite polymorphism in the XRCC3 gene and cancer in patients with varying radiosensitivity (48); another study from our group (33) has found an association of the XRCC3-241Met variant with bladder cancer, while Winsey et al. (35) found an association with melanoma.

The Thr241Met substitution in XRCC3 is a non-conservative change with possible biological implications for the functionality of the enzyme and/or the interaction with other proteins involved in DNA repair damage. To our knowledge, this is the first study to suggest that the XRCC3-Thr241Met polymorphism may be associated with the repair of bulky WBC DNA adduct lesions. These results must be confirmed in larger samples of different origin, in order to appreciate the relatively small effect of polymorphisms with low penetrance, taking into account the effect of different exposures to environmental carcinogens.


    Notes
 
9 To whom correspondence should be addressed Email: paolo.vineis{at}unito.it Back


    Acknowledgments
 
The authors wish to thank study participants and collaborators of EPIC-Italy Study Group for their cooperation: (i) EPIC-Varese: Unità Operativa di Epidemiologia, Istituto Nazionale Tumori, Milano. Key personnel: Franco Berrino (P.I.), Vittorio Krogh, Sabina Sieri, Valeria Pala and Giovanna Tagliabue. (ii) EPIC-Turin: Unità di Epidemiologia dei Tumori, Dipartimento di Scienze Biomediche e Oncologia Umana, Torino. Key personnel: Paolo Vineis (P.I), Laura Davico, Laura Fiorini, Maria Luisa Abbadini and Fabrizio Veglia (ISI Foundation). (iii) EPIC-Florence: Unità di Epidemiologia, CSPO, Firenze. Key personnel: Domenico Palli (P.I.), Calogero Saieva, Giovanna Masala, Simonetta Salvini and Marco Ceroti. (iv) EPIC-Naples: Dipartimento di Medicina Clinica e Sperimentale, Università Federico II di Napoli. Key personnel: Salvatore Panico (P.I.), Egidio Celentano and Rocco Galasso. (v) EPIC-Ragusa: Registro Tumori–Azienda Ospedaliera `Civile–M.P. Arezzo', Ragusa. Key personnel: Rosario Tumino (P.I.), Graziella Frasca, Maria Concetta Giurdanella, Carmela Lauria and Lorenzo Gafà. The study has been carried out in cooperation with several local organizations (AVIS, Torino; UNICOOP, Firenze; AVIS, Ragusa) and supported by the Associazione Italiana per le Ricerche sul Cancro (D.P., M.P., V.K., E.C., R.T. and P.V.), the Italian National Research Council Grant No. 93.04716.CT04 (A.P.) and No. 98.03166.CTO4 (P.V.), the ATENA project (E.C.), MURST 60% University of Torino (A.P. and G.M.) and Compagnia di San Paolo, Torino (P.V. and G.M.), Italy. EPIC is coordinated at the international level by Elio Riboli (IARC, Lyon) and supported by the European Unit.


    References
 Top
 Abstract
 Introduction
 Materials and methods
 Results
 Discussion
 References
 

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Received March 28, 2001; revised May 31, 2001; accepted June 8, 2001.


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W. Zhou, G. Liu, S. Park, Z. Wang, J. C. Wain, T. J. Lynch, L. Su, and D. C. Christiani
Gene-Smoking Interaction Associations for the ERCC1 Polymorphisms in the Risk of Lung Cancer
Cancer Epidemiol. Biomarkers Prev., February 1, 2005; 14(2): 491 - 496.
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CarcinogenesisHome page
S. Pavanello, A. Pulliero, E. Siwinska, D. Mielzynska, and E. Clonfero
Reduced nucleotide excision repair and GSTM1-null genotypes influence anti-B[a]PDE-DNA adduct levels in mononuclear white blood cells of highly PAH-exposed coke oven workers
Carcinogenesis, January 1, 2005; 26(1): 169 - 175.
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Cancer Epidemiol. Biomarkers Prev.Home page
C. Justenhoven, U. Hamann, B. Pesch, V. Harth, S. Rabstein, C. Baisch, C. Vollmert, T. Illig, Y.-D. Ko, T. Bruning, et al.
ERCC2 Genotypes and a Corresponding Haplotype Are Linked with Breast Cancer Risk in a German Population
Cancer Epidemiol. Biomarkers Prev., December 1, 2004; 13(12): 2059 - 2064.
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CarcinogenesisHome page
M. Peluso, M. Neri, G. Margarino, C. Mereu, A. Munnia, M. Ceppi, M. Buratti, R. Felletti, F. Stea, R. Quaglia, et al.
Comparison of DNA adduct levels in nasal mucosa, lymphocytes and bronchial mucosa of cigarette smokers and interaction with metabolic gene polymorphisms
Carcinogenesis, December 1, 2004; 25(12): 2459 - 2465.
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CarcinogenesisHome page
O. Popanda, T. Schattenberg, C. T. Phong, D. Butkiewicz, A. Risch, L. Edler, K. Kayser, H. Dienemann, V. Schulz, P. Drings, et al.
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Cancer Epidemiol. Biomarkers Prev.Home page
M. S. Marin, M. F. Lopez-Cima, L. Garcia-Castro, T. Pascual, M. G. Marron, and A. Tardon
Poly (AT) Polymorphism in Intron 11 of the XPC DNA Repair Gene Enhances the Risk of Lung Cancer
Cancer Epidemiol. Biomarkers Prev., November 1, 2004; 13(11): 1788 - 1793.
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JCOHome page
M. Berwick, G. Matullo, Y. S. Song, S. Guarrera, G. Dominguez, I. Orlow, M. Walker, and P. Vineis
Association Between Aryl Hydrocarbon Receptor Genotype and Survival in Soft Tissue Sarcoma
J. Clin. Oncol., October 1, 2004; 22(19): 3997 - 4001.
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Toxicol PatholHome page
Aspen Cancer Conference Fellows
Toxicol Pathol, October 1, 2004; 32(6): 749 - 761.
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CarcinogenesisHome page
H. Ito, K. Matsuo, N. Hamajima, T. Mitsudomi, T. Sugiura, T. Saito, T. Yasue, K.-M. Lee, D. Kang, K.-Y. Yoo, et al.
Gene-environment interactions between the smoking habit and polymorphisms in the DNA repair genes, APE1 Asp148Glu and XRCC1 Arg399Gln, in Japanese lung cancer risk
Carcinogenesis, August 1, 2004; 25(8): 1395 - 1401.
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CarcinogenesisHome page
E. Gyorffy, L. Anna, Z. Gyori, J. Segesdi, J. Minarovits, I. Soltesz, S. Kostic, A. Csekeo, M. C. Poirier, and B. Schoket
DNA adducts in tumour, normal peripheral lung and bronchus, and peripheral blood lymphocytes from smoking and non-smoking lung cancer patients: correlations between tissues and detection by 32P-postlabelling and immunoassay
Carcinogenesis, July 1, 2004; 25(7): 1201 - 1209.
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Cancer Res.Home page
J. Han, G. A. Colditz, L. D. Samson, and D. J. Hunter
Polymorphisms in DNA Double-Strand Break Repair Genes and Skin Cancer Risk
Cancer Res., May 1, 2004; 64(9): 3009 - 3013.
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CarcinogenesisHome page
P. Vodicka, R. Kumar, R. Stetina, S. Sanyal, P. Soucek, V. Haufroid, M. Dusinska, M. Kuricova, M. Zamecnikova, L. Musak, et al.
Genetic polymorphisms in DNA repair genes and possible links with DNA repair rates, chromosomal aberrations and single-strand breaks in DNA
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C. Seedhouse, R. Faulkner, N. Ashraf, E. Das-Gupta, and N. Russell
Polymorphisms in Genes Involved in Homologous Recombination Repair Interact to Increase the Risk of Developing Acute Myeloid Leukemia
Clin. Cancer Res., April 15, 2004; 10(8): 2675 - 2680.
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Cancer Epidemiol. Biomarkers Prev.Home page
J. Han, S. E. Hankinson, S. M. Zhang, I. De Vivo, and D. J. Hunter
Interaction between Genetic Variations in DNA Repair Genes and Plasma Folate on Breast Cancer Risk
Cancer Epidemiol. Biomarkers Prev., April 1, 2004; 13(4): 520 - 524.
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Cancer Epidemiol. Biomarkers Prev.Home page
J. C. Figueiredo, J. A. Knight, L. Briollais, I. L. Andrulis, and H. Ozcelik
Polymorphisms XRCC1-R399Q and XRCC3-T241M and the Risk of Breast Cancer at the Ontario Site of the Breast Cancer Family Registry
Cancer Epidemiol. Biomarkers Prev., April 1, 2004; 13(4): 583 - 591.
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CarcinogenesisHome page
J. Han, S. E. Hankinson, H. Ranu, I. De Vivo, and D. J. Hunter
Polymorphisms in DNA double-strand break repair genes and breast cancer risk in the Nurses' Health Study
Carcinogenesis, February 1, 2004; 25(2): 189 - 195.
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Cancer Epidemiol. Biomarkers Prev.Home page
X.-O. Shu, Q. Cai, Y.-T. Gao, W. Wen, F. Jin, and W. Zheng
A Population-Based Case-Control Study of the Arg399Gln Polymorphism in DNA Repair Gene XRCC1 and Risk of Breast Cancer
Cancer Epidemiol. Biomarkers Prev., December 1, 2003; 12(12): 1462 - 1467.
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Cancer Res.Home page
J. Han, S. E. Hankinson, I. De Vivo, D. Spiegelman, R. M. Tamimi, H. W. Mohrenweiser, G. A. Colditz, and D. J. Hunter
A Prospective Study of XRCC1 Haplotypes and Their Interaction with Plasma Carotenoids on Breast Cancer Risk
Cancer Res., December 1, 2003; 63(23): 8536 - 8541.
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Cancer Epidemiol. Biomarkers Prev.Home page
N. Moullan, D. G. Cox, S. Angele, P. Romestaing, J.-P. Gerard, and J. Hall
Polymorphisms in the DNA Repair Gene XRCC1, Breast Cancer Risk, and Response to Radiotherapy
Cancer Epidemiol. Biomarkers Prev., November 1, 2003; 12(11): 1168 - 1174.
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Cancer Epidemiol. Biomarkers Prev.Home page
M. Shen, R. J. Hung, P. Brennan, C. Malaveille, F. Donato, D. Placidi, A. Carta, A. Hautefeuille, P. Boffetta, and S. Porru
Polymorphisms of the DNA Repair Genes XRCC1, XRCC3, XPD, Interaction with Environmental Exposures, and Bladder Cancer Risk in a Case-Control Study in Northern Italy
Cancer Epidemiol. Biomarkers Prev., November 1, 2003; 12(11): 1234 - 1240.
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Cancer Epidemiol. Biomarkers Prev.Home page
M. R. Spitz, Q. Wei, Q. Dong, C. I. Amos, and X. Wu
Genetic Susceptibility to Lung Cancer: The Role of DNA Damage and Repair
Cancer Epidemiol. Biomarkers Prev., August 1, 2003; 12(8): 689 - 698.
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Cancer Epidemiol. Biomarkers Prev.Home page
P. P. Medina, S. A. Ahrendt, M. Pollan, P. Fernandez, D. Sidransky, and M. Sanchez-Cespedes
Screening of Homologous Recombination Gene Polymorphisms in Lung Cancer Patients Reveals an Association of the NBS1-185Gln Variant and p53 Gene Mutations
Cancer Epidemiol. Biomarkers Prev., August 1, 2003; 12(8): 699 - 704.
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Cancer Epidemiol. Biomarkers Prev.Home page
G. Matullo, M. Peluso, S. Polidoro, S. Guarrera, A. Munnia, V. Krogh, G. Masala, F. Berrino, S. Panico, R. Tumino, et al.
Combination of DNA Repair Gene Single Nucleotide Polymorphisms and Increased Levels of DNA Adducts in a Population-based Study
Cancer Epidemiol. Biomarkers Prev., July 1, 2003; 12(7): 674 - 677.
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Cancer Epidemiol. Biomarkers Prev.Home page
W. Zhou, G. Liu, D. P. Miller, S. W. Thurston, L. L. Xu, J. C. Wain, T. J. Lynch, L. Su, and D. C. Christiani
Polymorphisms in the DNA Repair Genes XRCC1 and ERCC2, Smoking, and Lung Cancer Risk
Cancer Epidemiol. Biomarkers Prev., April 1, 2003; 12(4): 359 - 365.
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Cancer Epidemiol. Biomarkers Prev.Home page
F. Veglia, G. Matullo, and P. Vineis
Bulky DNA Adducts and Risk of Cancer: A Meta-Analysis
Cancer Epidemiol. Biomarkers Prev., February 1, 2003; 12(2): 157 - 160.
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Cancer Epidemiol. Biomarkers Prev.Home page
E. L. Goode, C. M. Ulrich, and J. D. Potter
Polymorphisms in DNA Repair Genes and Associations with Cancer Risk
Cancer Epidemiol. Biomarkers Prev., December 1, 2002; 11(12): 1513 - 1530.
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CarcinogenesisHome page
D. H. Phillips
Smoking-related DNA and protein adducts in human tissues
Carcinogenesis, December 1, 2002; 23(12): 1979 - 2004.
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BloodHome page
C. Seedhouse, R. Bainton, M. Lewis, A. Harding, N. Russell, and E. Das-Gupta
The genotype distribution of the XRCC1 gene indicates a role for base excision repair in the development of therapy-related acute myeloblastic leukemia
Blood, November 15, 2002; 100(10): 3761 - 3766.
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Cancer Epidemiol. Biomarkers Prev.Home page
Z. Duan, H. Shen, J. E. Lee, J. E. Gershenwald, M. I. Ross, P. F. Mansfield, M. Duvic, S. S. Strom, M. R. Spitz, and Q. Wei
DNA Repair Gene XRCC3 241Met Variant Is Not Associated with Risk of Cutaneous Malignant Melanoma
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E. J. Duell, E. A. Holly, P. M. Bracci, J. K. Wiencke, and K. T. Kelsey
A Population-based Study of the Arg399Gln Polymorphism in X-Ray Repair Cross- Complementing Group 1 (XRCC1) and Risk of Pancreatic Adenocarcinoma
Cancer Res., August 15, 2002; 62(16): 4630 - 4636.
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CarcinogenesisHome page
J. Tuimala, G. Szekely, S. Gundy, A. Hirvonen, and H. Norppa
Genetic polymorphisms of DNA repair and xenobiotic-metabolizing enzymes: role in mutagen sensitivity
Carcinogenesis, June 1, 2002; 23(6): 1003 - 1008.
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R. M. Taylor, A. Thistlethwaite, and K. W. Caldecott
Central Role for the XRCC1 BRCT I Domain in Mammalian DNA Single-Strand Break Repair
Mol. Cell. Biol., April 15, 2002; 22(8): 2556 - 2563.
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CarcinogenesisHome page
S.-M. Hou, S. Falt, S. Angelini, K. Yang, F. Nyberg, B. Lambert, and K. Hemminki
The XPD variant alleles are associated with increased aromatic DNA adduct level and lung cancer risk
Carcinogenesis, April 1, 2002; 23(4): 599 - 603.
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