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Epidemiology and Prevention |
Departments of Family and Preventive Medicine [M. L. S.], Pathology [W. S.], and Genetics [M. L.] and Genomics Core Facility [L. B.], University of Utah, Salt Lake City, Utah 84112; Kaiser Permanente Medical Care Program, Oakland, California 94611 [D. S.]; and Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024 [J. D. P.]
| ABSTRACT |
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| INTRODUCTION |
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80% of sporadic colon tumors showing such a mutation
(3)
. Although acquired mutations occur throughout the
gene, there is a mutation cluster region at codons 1286 through 1513 in
sporadic cancers. Germ-line variants of the APC gene exist (4) . The best known of these are the relatively uncommon inherited knockout mutations which are responsible for the syndrome of Familial Adenomatous Polyposis. It is estimated that fewer than 1% of colon cancers can be attributed to these highly penetrant inherited APC mutations (5) . There are, however, other germ-line variants that are not associated with the polyposis phenotype and are of uncertain biological significance (3) . At least eight molecular variants of the APC gene have been identified. With the exception of one variant, the allele frequencies of these variants are estimated at no more than 1% (3 , 6 , 7) . Three of these variants have been associated with amino acid changes (3) . The most common variant has been reported at an allele frequency of 10%; it results in an aspartate to valine change at codon 1822 (3) . The other two variants causing amino acid changes have been reported with allele frequencies of around 1% (3) .
It is possible that APC variants associated with amino acid changes may alter risk of colon cancer in the presence of environmental exposures, or that they may independently alter colon cancer risk in subsets of the population. In one study by Powell et al. (3) , significant associations between colon cancer and the three APC variants that cause amino acid changes were not detected in 45 cases of cancer and 100 healthy controls; that study had limited power.
In this study, we used data from a large population-based case-control study of colon cancer to examine the association between the codon 1822 variant of the APC gene and risk of colon cancer. We also determined whether dietary and life-style exposures influenced colon cancer risk in conjunction with this APC variant. Because of its relatively high allele frequency (3) , we projected that we would have sufficient power to detect an approximate 2-fold difference in risk associated with diet and life-style factors that might interact with the B1822V variant.
| PATIENTS AND METHODS |
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76% cooperated. Methods used to ascertain controls have been
reported and included people randomly selected from Kaiser membership
lists, from random-digit dialing, from drivers license lists, and
from social security lists (9)
. Of all controls asked to
participate,
64% cooperated. Reasons for nonparticipation have been
described (10)
. A total of 1993 cases and 2410 controls
had complete data considered of high quality. Of these, 1585 cases and
1945 controls had DNA extracted from white blood cells and
genotyping completed for B1822V APC variant. We
did not observe differences in physical activity, body size, or dietary
intake between those from whom DNA was able to be extracted and
those not having had blood drawn or DNA extracted. However, those whom
we were able to genotype were significantly more likely to report
drinking alcohol than those without genotype data.
Data Collection.
Data were collected from study participants by trained and certified
interviewers using laptop computers. The referent period that study
participants were asked to recall was the calendar year 2 years prior
to the date of selection (the date of diagnosis for cases or date of
selection for controls). The interview took
2 h to complete.
Quality-control methods used in the study have been described
(11
, 12)
.
Dietary intake data were ascertained using an adaptation of the validated Coronary Artery Risk Development in Young Adults (CARDIA) diet history questionnaire (12) . Participants were asked to determine which foods were eaten (using brand names of food items such as fast foods, cookies, crackers, cereals, when possible), the frequency with which foods were eaten, and fat used in preparation of other foods. Three-dimensional food models were used to help participants estimate their usual serving size. Cue cards were used to help the consistent identification of foods within broad categories. For certain items, when it was possible that many types of food within a category would be eaten (such as breakfast cereal), participants were asked to report the three mostly commonly eaten items. As part of the diet history, detailed information was obtained on foods eaten as additions to other foods (such as sugar added to cereal); standard amounts of additions were assigned per unit of the food item they accompanied. Nutrient values for specific foods were calculated using the Minnesota Nutrition Coordinating Centers (NCC) nutrient database version 19.
Specific questions on the preparation of red meat, poultry, and fish were used including those on the preferred degree of cooking ("doneness") of red meat and poultry: rare, medium rare, medium well done, and well done; the frequency of cooking by frying, broiling, baking, or barbecuing of red meat, poultry, and fish; and the frequency of the use of drippings of red meat, poultry, and fish, either on other foods or in gravy. Because microwaving produces much lower concentrations of mutagens than pan frying and broiling, the frequency of use of microwaving to thaw or partially precook meat before preparation by frying, broiling, baking, or barbecuing was assessed. We estimated potential exposure to mutagens via a Mutagen Index. The index is calculated as [[the frequency of red meat, poultry, and fish consumption prepared by frying, broiling, baking, or barbecuing] plus [the use of drippings from red meat, poultry or fish]] x [the preferred doneness of the red meat, poultry, and fish (1 = rare, 2 = medium rare, 3 = medium well done, 4 = well done)] x [the microwave factor (1 = never used for thawing, 0.75 = sometimes used, 0.5 = often used, 0.25 = always used)]. A high index reflects higher intake of potentially mutagenic compounds.
Measures of eating patterns were derived using factor analysis, as described elsewhere (13) via the SAS principal-components program. After a varimax rotation, factor scores were saved for each individual. The food pattern that we arbitrarily labeled as "Western Diet" was used for the analyses presented here. This food pattern loaded heavily (factors with loadings of over 0.30) on processed meats, red meat, fast-food meat, eggs, butter, margarine, potatoes, high fat dairy foods, legumes, refined grains, added sugar, sugar drinks, and sugar desserts (13) .
Other data obtained and used in these analyses were: age at the time of diagnosis or selection; BMI (weight/height2) for men; weight/height1,5) for women) self-reported for the referent year; usual number of cigarettes smoked, long-term vigorous leisure-time activity, ever having used aspirin or nonsteroidial anti-inflammatory drugs on a regular basis, and family history of cancer in first-degree relatives. Physical activity, performed at home and at leisure, was ascertained using an adaptation of the validated CARDIA physical activity history (14) . Tumor site within the colon was classified as proximal (cecum through transverse colon) or distal (splenic flexure, descending, and sigmoid colon). Tumor stage was defined using the NCIs Surveillance Epidemiology and End Results (SEER) Program summary stage codes of local, regional or distant. Vital status was obtained from local tumor registries and included all deaths through December of 1998.
Genotype Data.
The GAC/GTC polymorphism at codon 1822 of the APC
gene (6)
was determined for 1590 cases and 1945 controls
by single-strand conformational polymorphism. This was done as
described previously (15)
except that primers were
fluorescently tagged, and PCR products were run on a PE
Biosystems 373A sequencer. A segment of DNA that contained codon
1822 was PCR amplified using a forward primer fluorescently tagged with
TET (GTTTCTGAGAGAGTTTTCTCAGACAAC), and one of six reverse primers
(GTTTCTTCTATCTTCATTATTTGGGAGC, GTTTCTTCTATCTTCATTATTTGGGAGC,
GTTTCTACTTCCTCTGACTCTATCTTC, GTTTCTGAATCAAAAGCAAAACTTCCTC,
GTTTCTATGATGAGGTGAATCAAAAGCA, GTTTCTTAGGCGTGTAATGATGAGGTG, or
GTTTCTTCCTTCAATAGGCGTGTAATG). The six reverse primers were used to
generate PCR products of different lengths so that these products could
be multiplexed on the 373A sequencer. An identical forward primer
tagged with HEX was used to amplify a known normal to provide an
internal control in each lane (Fig. 1)
.
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Statistical Methods.
APC B1822V genotype was classified as the
homozygous wild type, heterozygote, or the homozygous variant. The
APC genotypes were assessed in conjunction with demographic
factors such as age at time of diagnosis, disease stage, tumor site
within the colon, and survival status. Multiple logistic regression
models were used to estimate associations using ORs and corresponding
95% CIs. Continuous diet and life-style factors were categorized into
three groups of low, intermediate, and high, based on the sex-specific
distributions in the control population. Nutrients were assessed as
intake per 1000 kcal. Cigarette smoking was categorized as never having
smoked cigarettes, smoking fewer than 20 cigarettes per day, and
smoking 20 cigarettes per day or more. Regular use of aspirin and/or
NSAIDs (combined and referred to as NSAIDs) and having a first-degree
relative with colorectal cancer were categorized as either yes or no.
Risk was assessed by examining the combined effects of
B1822V genotype, diet, and life-style exposures, using as
the referent category, those at greatest risk, e.g., high
dietary fat and homozygote wild-type APC.
| RESULTS |
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5.2% of the control population (Table 1)
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| DISCUSSION |
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In this study, we evaluated a variety of diet and life-style factors that have been reported as being associated with colon cancer. Consistent associations with the specific genotype were observed only for indicators of dietary fat intake. Given the consistency and specificity of this interaction, we believe that the homozygous variant may have functional significance. This interaction is not universal across other risk factors: many of the dietary variables are unassociated with risk in any genotypically defined subset, and some of the inverse associations (e.g., with NSAIDs and physical activity) are inversely associated with risk, irrespective of genotype.
At this point, we can only hypothesize as to how fat might work in conjunction with molecular variants of the APC gene. Several mechanisms have been proposed whereby dietary fat and its components are associated with cancer. Saturated fatty acids, such as butyric acid, have been shown to influence apoptosis (16) ; eicosanoids, which are hormone-like polyunsaturated fatty acids, have been shown to regulate cell proliferation and immune response (17) ; linoleic acid, a precursor to arachidonic acid, has been hypothesized to influence the neoplastic process through its role in the synthesis of prostaglandins and thromboxanes via cyclooxygenases (18) . Linoleic acid has been shown also to act synergistically with growth factors, such as epidermal growth factor, to stimulate tumor growth (19) . A role for DAG, produced by bacterial breakdown of fat, has been proposed: DAG is an intermediate in a variety of signaling pathways; and, plausibly, such pathways could be shortcircuited by DAG, generated in the lumen, and diffusing across cell membranes (20) .
The APC gene is thought to be multifunctional and has been referred to as a large housekeeping gene (2 , 21 , 22) . The protein is important in cell adhesion as well as in the Wg/wnt signaling pathway. It is involved in control of proliferation via ß catenin/Tcf and of mobility via interaction with the cytoskeleton. Although the functional significance of the 1822 substitution is uncertain at this time, the substitution changes the amino acid residue from a hydrophilic asparate to a hydrophobic valine residue. Codon 1822 is located between the fourth and fifth of the seven 20-amino-acid repeats involved in the binding and down-regulation of ß-catenin (22) . Specifically, it is 180 amino acids downstream of the fourth repeat and 26 amino acids upstream of the fifth (1) . Therefore, although this amino acid change is not conservative, there is no known consequence of an amino acid substitution at this location on ß-catenin regulation or any other known function of APC. However, it is certainly possible that future functional and/or structural analyses of APC may suggest such consequences.
Modifier genes, genes that may modify the phenotypic manifestation of a mutated gene without necessarily having an effect on the wild type, have been identified for APC. One such gene, Mom1 (modifier of min; min is the mouse APC homologue), in the mouse (or the human homologue) encodes for the secretory type II phospholipase A2 (Pla2s) gene (23, 24, 25) . Mom1 in the mouse modifies the phenotype associated with a mutated APC gene, resulting in fewer intestinal tumors (23) . Pla2s is a phospholipase involved in generating arachidonic acid, which, in turn, is necessary for the synthesis of prostaglandins (24) . These observations may lend some support to our finding that dietary fat interacts with this APC 1822 variant. If this particular gene-gene interaction is relevant to our findings, then it may be worth asking whether there is a protective phenotype associated with Mom1, even in the absence of a truncating polymorphism of APC.
There are several strengths of this study. Because of the large sample size, we have been able to assess interactions between diet and life-style factors in conjunction with a variant APC genotype. The dietary questionnaire used was comprehensive and, because of its link to the Nutrition Coordinating Center (NCC) nutrient database, has extensive information on dietary fat. On the other hand, we are limited by the fact that both cases and controls were asked to recall their diets from the past, and thus differential recall is possible. Finally, it is appropriate to note that the findings reported here may be the result of chance and have no biological significance. They, therefore, need to be replicated in other populations with adequate sample sizes to evaluate the association.
Although associations between dietary fat and colon cancer are generally lacking at the population level, this study provides evidence of a small subset of the population who are at decreased risk of colon cancer as a result of consuming a low-fat diet. These findings, if replicated, may provide additional important clues to the etiology of colon cancer and to the functional role of the APC gene.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 Supported by Grant CA48998 (to M. L. S.) and
Grant CA59045 (to J. D. P.). Case identification and
verification were supported by the Utah Cancer Registry, the Northern
California Cancer Registry, and the Sacramento Tumor Registry. ![]()
2 To whom requests for reprints should be
addressed, at Fred Hutchinson Cancer Research Center, 1100 Fairview
Avenue, North, MP 900, Seattle, WA 98109-1024. ![]()
3 The abbreviations used are: APC, adenomatous
polyposis coli; OR, odds ratio; CI, confidence interval; NSAID,
nonsteroidal anti-inflammatory drug; BMI, body mass index; DAG,
diacylglycerol. ![]()
Received 6/15/00. Accepted 11/29/00.
| REFERENCES |
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