Null Results in Brief
Dietary Factors and Cancers of the Renal Pelvis and Ureter
Kaye E. Brock,
1
Gloria Gridley,
2
Linda Morris Brown,
2
Mimi C. Yu,
3
Janet B. Schoenberg,
4
Charles F. Lynch,
5
and Joseph K. McLaughlin
6
1
Department of Behavioural and Community Health Sciences, Faculty of Heath Sciences, University of Sydney, Sydney, New South Wales,
Australia;
2
Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services,
Bethesda, Maryland;
3
Cancer Center, MMC 806, University of Minnesota, Minneapolis, Minnesota;
4
New Jersey Department of
Health and Senior Services, Trenton, New Jersey;
5
Department of Epidemiology, College of Public Health, University of Iowa,
Iowa City, Iowa; and
6
International Epidemiology Institute, Rockville, Maryland
Introduction
In the United States, cancers of the renal pelvis and ureter
(primarily transitional cell carcinomas) are rare and epidemi-
ologic studies are infrequent compared with renal cell cancer
(renal parenchyma) of the kidney (primarily adenocarcinomas)
or bladder carcinomas [primarily transitional cell carcinomas;
(1, 2)]. In this article, we used data from a large case-control
study of cancers of the renal pelvis and ureter to examine
dietary, anthropometric, and beverage associations. Most
previous studies that investigated dietary risk factors for these
tumors were combined with cancers of the kidney or bladder
primarily due to their anatomic proximity. Earlier publications
from this study investigated risks associated with smoking,
analgesics, and hypertension (3-6). The strongest risk factor
was cigarette smoking [ever smoked odds ratio (OR), 3.1] with
long-term smokers having a 7-fold increased risk (6).
Materials and Methods
Detailed methods for case and control selection have been
described elsewhere (6). In brief, eligible cases were white men
and women ages 20 to 79 years in New Jersey, Iowa, or Los
Angeles County, California, with microscopically confirmed
cancers of the renal pelvis or ureter newly diagnosed between
1983 and 1986. Interviews were obtained for 498 cases (328
male and 170 female), including 306 with renal pelvis cancer
and 192 with ureter cancer. Noninterviewed cases were
slightly older than interviewed cases but had a similar
distribution by sex and cancer site (6).
Population-based controls were obtained by frequency
matching to the cases based on age, gender, and geographic
area. Controls younger than 65 years were chosen by
random digit dialing (7), whereas older controls were
selected from Medicare files of the then Health Care
Financing Administration. The interviewer-administered
questionnaire gathered information on demographic, anthro-
pometric, and occupational factors as well as smoking,
medication, beverage, and dietary history. Body mass index
(BMI), (weight (usual) in kilograms/height in meters
2
) was
requested from individuals for a time period just before their
diagnosis/interview and at age 20 years (BMI20). Subjects
were classified as underweight (BMI <18.5), normal (BMI
18.5-24.9), overweight (BMI 25-29.9), and obese (BMI z30),
based on NIH guidelines (8).
Usual dietary intake was estimated from a 36-item food
frequency questionnaire. Micronutrient levels were estimated
by linking these foods to the nutrient density estimates
derived from the U.S. Department of Agriculture food
composition tables (9) and a U.S. Department of Agricul-
ture-National Cancer Institute carotenoid food composition
database (10). Food groups and nutrients were analyzed using
quartiles based on the intake distribution of the controls.
Unconditional logistic modeling [OR and 95% confidence
interval (95% CI)] included adjustment for age, gender, study
site, and pack-years of cigarette smoking in eight categories.
Risk estimates for renal pelvis and ureter cancers were
similar; thus, data are presented for both cancers combined.
All P values are two-sided. There was 80% power to detect an
OR of z1.4 for the highest versus the lowest quartile of intake
(a = 0.05).
Results
There were no significant associations of cancer risk with
being underweight or overweight, vitamin supplement use,
or ever use and amount consumed of coffee, tea, or alcohol
(Table 1). There were, however, surprising significant trends
for number of years drank coffee and tea that reached 1.9
(95% CI, 1.1-3.5) for those who drank coffee for z51 years,
and 1.5 (1.0-2.2) for those who drank tea for z46 years,
despite no corresponding trends in other indicators of
caffeine consumption. There was also a small nonsignificant
association with cancer risk of drinking more than one glass
of water. Similar findings were seen in smokers and
nonsmokers separately (data not shown).
Table 2 presents ORs for food groups and nutrients in
quartiles of intake from low to high. There were no significant
trends seen for intake of food groups or nutrients for all
participants, all nonsmokers, or male smokers (data not
shown). However, in female smokers (120 cases, 94 controls),
high intakes of fruits (P
trend
= 0.001; highest quartile OR, 0.4;
95% CI, 0.2-0.8), dark yellow vegetables (P
trend
= 0.06; highest
quartile OR, 0.4; 95% CI, 0.1-0.9), and h-cryptoxanthin (P
trend
=
0.01; highest quartile OR, 0.4; 95% CI, 0.2-0.9) were associated
with reduced cancer risk.
Discussion
In our study of renal pelvis and ureter cancers, we found no
consistent cancer risk associated with beverage intake, vita-
min supplement use, or BMI. These findings are in agreement
1051
Cancer Epidemiol Biomarkers Prev 2006;15(5). May 2006
Cancer Epidemiol Biomarkers Prev 2006;15(5):1051 – 3
Received 1/24/06; accepted 3/2/06.
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.
Requests for reprints: Gloria Gridley, Division of Cancer Epidemiology and Genetics,
National Cancer Institute, NIH, Department of Health and Human Services, Executive Plaza
South, Room 8024, 6120 Executive Boulevard, MSC 7244, Bethesda, MD 20892-7244.
Phone: 301-4963-3344; Fax: 301-402-0081. E-mail: gridleyg@mail.nih.gov
Copyright D 2006 American Association for Cancer Research.
doi:10.1158/1055-9965.EPI-06-0056
Research.
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