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Departments of Epidemiology [M. L. F., F. T. O., S. K., X. G., I. C., C. I. A.], Pathology [R. L.], and Gastrointestinal Medical Oncology and Digestive Diseases [P. M. L.], The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030
| ABSTRACT |
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| Introduction |
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We assessed the role of NAT2 as a modifier gene in HNPCC, an autosomal dominant disorder accounting for 314% of all of the cases of CRC (4, 5, 6) . HNPCC has been associated with germ-line mutations in DNA MMR genes, specifically hMSH2, hMLH1, hMSH6, hPMS1, and hPMS2; hMLH1 and hMSH2 are the most commonly mutated (7 , 8) .
Testing for mutations in the NAT2 gene by PCR assays has made it possible to predict the rate at which drugs and chemicals containing primary aromatic amine or hydrazine groups will be metabolized (9) . Humans can be classified as either slow or rapid acetylators, based on a DNA amplification assay developed by Bell et al. (10) that was 100% concordant with rapid acetylator phenotype (as measured by caffeine metabolite excretion) and 90% concordant overall.
Results from previous studies of the association between NAT2 genotype and CRC have been mixed; some groups (11 , 12) have reported a positive association between fast acetylator phenotype and risk of CRC, whereas another report (13) did not. The aim of our study was to determine the extent to which polymorphisms in the NAT2 gene affect risk for CRC and other cancers among individuals with DNA MMR mutations. We hypothesized that some of the observed variation in time to onset of CRC among carriers of mutations in DNA mismatch repair genes may be because of genetic variation in the NAT2 gene at these polymorphic loci. Using Kaplan-Meier product limit estimates and Cox proportional hazards modeling, we compared time to onset of CRC and HNPCC-related cancers between carriers and noncarriers of mutations in NAT2, all of whom were predisposed to colon cancer as a result of inheriting mutations in the DNA MMR genes hMLH1, hMSH2, or hPMS1.
| Materials and Methods |
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DNA Extraction from Peripheral Blood Leukocytes.
Blood was drawn from each study subject in Vacutainer tubes containing
EDTA (Becton Dickinson Vacutainer System; Becton Dickinson, Rutherford,
NJ). DNA was isolated from the blood with a 341 Nucleic Acid
Purification System (Applied Biosystems, Foster City, CA) according to
the manufacturers instructions.
Testing for Mutations in hMLH1 and
hMSH2 Using Heteroduplex and SSCP Analysis.
The DNA was subjected to PCR with the primers for each exon of the
hMLH1 and hMSH2 genes used by Wijnen et
al. (14
, 15)
, except that the GC clamp and M13
sequences were not included. PCR was performed on 500 ng of DNA in a
20-µl reaction mixture of 50 mM KCl; 10
mM Tris-HCl (pH 8.3); 1.5
mM MgCl2; 0.2
mM dATP, dGTP, and dTTP; 0.1
mM dCTP; 20 pmol of each primer; 1 µCi of
[32P]dCTP (3000 Ci/mmol); and 1.0 unit of Taq
polymerase (Perkin-Perkin-Elmer Corp., Norwalk, CT). Each PCR mixture
was incubated at 94°C for 3 min and then subjected to 25 cycles of
94°C for 30 s, 58°C for 30 s, and 72° for 1 min. A
3-min final extension was performed at 72°C. For heteroduplex
analysis, 4 µl of each PCR product was mixed with equal volumes of
loading buffer containing 95% formamide, 20 mM
EDTA, 0.05% xylene cyanol, and 0.05% bromphenol blue. This was
heated at 94° for 10 min, slowly cooled to room temperature
overnight, and subjected to electrophoresis on Mutation Detection
Enhancement gels (J. T. Baker, Phillipsburg, NJ) as described
previously by Jeon et al. (16)
. For SSCP
analysis, the same procedure was followed except that after heating at
94°C, the DNA was promptly chilled on ice and then loaded onto the
gel. The gels were then vacuum dried and subjected to autoradiography
overnight at -80°C. Nucleotide sequence analysis was performed using
one primer that was used to generate the PCR product.
Once an altered banding pattern was detected, exon-specific nucleotide sequence analysis was performed to determine the sequence. To accomplish this, the exon was subjected to PCR as described above except that the [32P]dCTP was omitted. Before nucleotide sequencing, the PCR products were cleaned up by mixing them with 20 units of exonuclease 1 and four units of shrimp alkaline phosphatase followed by incubation at 37°C for 15 min and then at 85°C for 15 min to remove the unused primers and residual deoxynucleotide triphosphates. The products were then subjected to electrophoresis in 1.5% agarose gels in 1 x Tris-borate EDTA. Ethidium bromide was used to visualize the PCR products, verify the fragment length, and determine the concentration. The DNA sequences of PCR products were then determined using an Applied Biosystems model 377 sequencer.
NAT2 Genotype Analysis.
The subjects were genotyped by PCR followed by SSCP analysis. Briefly,
the PCR reaction conditions are the same as described above with the
exception of the primers. The PCR primers used were: 2590F
(5'-GGACCAAATCAGGAGAGAGCAG 3') and 2590R (5'-GTTGGAGACGTCTGCAGGTATG-3')
for NAT2*5; 2857F (5'-GAAGAGGTTGAAGAAGTG-CTG-3') and 2857R
(5'-GTTGGGTGATACATACACAAGG-3') for NAT2*6; and 2481F
(5'-AAGGATCAGCCTCAGGTGCCTT-3') and 2481R
(5'-CTGCTCTCTCCTGATTTGGTCC-3') for NAT2*7. The PCR was performed for 10
min at 94°C followed by 28 cycles of 94°C for 30 s, 65°C for
30 s, and 72°C for 10 min. SSCP analysis was performed as
described above. The identities of the NAT2 alleles were
confirmed by automated sequencing of several samples with an Applied
Biosystems Model 377 sequencer as described above.
Statistical Analysis.
To assess differences in time to onset of cancer for individuals of
different NAT2 genotypes, we used survival-analysis
procedures (17)
. We calculated the median time to onset
for cancer from the Product-Limit Kaplan-Meier estimator. To test for
differences in the time to onset in individuals of different
NAT2 genotypes, we used Cox proportional hazard regression
analysis (18)
. The estimates from Cox modeling were
exponentiated to give an estimate of the increased risk conferred by
having mutant genotypes at each of the three NAT2 loci.
Alleles NAT2*5, NAT2*6, and NAT2*7
were assigned as indicator variables, and the wild-type genotype was
used as reference. The time to onset to cancer for individuals in the
same family may be correlated because of unmeasured covariables such as
shared household environment and shared dietary exposures or because
they share the same mutation. To allow for this possible correlation,
we used the cluster function of S+ in the Cox proportional hazard model
that we fitted. This action corrected the SEs of the robust estimates
for familial correlation using a sandwich estimator of the variance. We
analyzed the fast and slow acetylators of the NAT2 phenotypes by
the same approach (19)
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| Results |
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| Discussion |
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The different conclusions regarding the association of slow acetylation phenotypes in different populations might be because of different genetic and environmental influences. Patients with HNPCC may be more sensitive to certain environmental influences than subjects without MMR gene defects. The detrimental effects of such environmental factors might be enhanced by the NAT2*7 mutant allele in HNPCC while having little or no effect in other subjects.
Our findings also suggest that there may be differences in the slow acetylation phenotypes produced by different NAT2 genotypes, perhaps because of variation in the enzyme activity depending on the substrate. A recent review by Hein et al. (21) discusses the complexities of assessing phenotype with the different NAT2 genotypes. They point out that multiple mechanisms for reduction in N-acetyltransferase activity are associated with various nucleotide substitutions present on NAT2 alleles and that the ability to distinguish acetylator phenotypes is complex and is a function of sensitivity and specificity of the phenotyping method.
The different results could also be because of different NAT2*5, NAT2*6, and NAT2*7 mutant allele frequencies in different populations. In the group of subjects studied by Heinimann et al. (20) , the frequency of the NAT2*6 mutant allele is much lower than in our population. Our study suggested that although the NAT2*5, NAT2*6, and NAT2*7 mutant alleles may all confer the slow acetylation phenotype, only NAT2*5 and NAT2*7 were associated with increased risk for cancer. Therefore, the higher frequency of the NAT2*6 mutant alleles (which were not associated with increased risk) in our study may have reduced the actual effects of slow acetylation on cancer risk.
How the NAT2 mutant alleles modify MMR defects to increase age-associated risk for cancer is not clear. A more complete understanding is needed of the tissue-specific action of NAT2 and the drugs and compounds it metabolizes in the colon. Additional studies that include environmental exposures in NAT2 mutation analysis might increase our knowledge of how variation in the NAT2 gene affects time to onset and risk of CRC in carriers of mutations in DNA MMR.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 Supported by Grant CA 70759 from the National
Cancer Institute and by NIH Cancer Center Support Grant CA 16672. ![]()
2 To whom requests for reprints should be
addressed, at Box 189, Department of Epidemiology, The University of
Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston,
TX 77030. Phone: (713) 745-2480, Fax: (713) 745-1163. ![]()
3 The abbreviations used are: NAT2,
N-acetyltransferase 2; HNPCC, hereditary nonpolyposis
colorectal cancer; CRC, colorectal cancer; MMR, mismatch repair; SSCP,
single-stranded conformational polymorphism; HR, hazard ratio; CI,
confidence interval. ![]()
Received 7/31/00. Accepted 1/ 3/01.
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