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Prospective
Study of Hyperglycemia and Cancer Risk
Pär
Stattin, MD, PHD1, Ove
Björ, BSC2, Pietro Ferrari, BSC3,
Annekatrin Lukanova, MD, PHD4,5, Per
Lenner, MD, PHD6, Bernt Lindahl, MD, PHD7,
Göran Hallmans, MD, PHD4 and Rudolf
Kaaks, PHD8
Originally
published in Diabetes Care 30:561-567, 2007; DOI: 10.2337/dc06-0922
© 2007 by
the American Diabetes Association
OBJECTIVE—To
investigate whether hyperglycemia is associated with
increased cancer risk.
RESEARCH DESIGN AND METHODS—In the
Västerbotten Intervention Project of northern Sweden,
fasting and postload plasma glucose concentrations were
available for 33,293 women and 31,304 men and 2,478
incident cases of cancer were identified. Relative risk
(RR) of cancer for levels of fasting and postload glucose was
calculated with the use of Poisson models, with adjustment for
age, year of recruitment, fasting time, and smoking status. Repeated
measurements 10 years after baseline in almost 10,000 subjects
were used to correct RRs for random error in glucose measurements.
RESULTS—Total cancer risk in women
increased with rising plasma levels of fasting and
postload glucose, up to an RR for the top versus bottom
quartile of 1.26 (95% CI 1.09–1.47) (Ptrend
<0.001) and 1.31 (1.12–1.52) (Ptrend =
0.001), respectively. Correction for random error in
glucose measurements increased these risks up to 1.75
(1.32–2.36) and 1.63 (1.26–2.18), respectively. For
men, corresponding uncorrected RR was 1.08 (0.92–1.27)
(Ptrend = 0.25) and 0.98 (0.83–1.16) (Ptrend
= 0.99), respectively. Risk of cancer of the pancreas, endometrium,
urinary tract, and of malignant melanoma was statistically significantly
associated with high fasting glucose with RRs of 2.49
(1.23–5.45) (Ptrend = 0.006), 1.86 (1.09–3.31)
(Ptrend = 0.02), 1.69 (0.95–3.16) (Ptrend
= 0.049), and 2.16 (1.14–4.35) (Ptrend
= 0.01), respectively. Adjustment for BMI had no material
effect on risk estimates.
CONCLUSIONS—The association of
hyperglycemia with total cancer risk in women and in
women and men combined for several cancer sites,
independently of obesity, provides further evidence for
an association between abnormal glucose metabolism and cancer.
Abbreviations: IFG,
impaired fasting glucose • IGT, impaired glucose tolerance
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INTRODUCTION |
Type 2 diabetes, an extreme state of glucose intolerance, is associated
with elevated plasma levels of glucose and insulin, both
before and after its diagnosis, and is associated with an
increased risk of cancers of the liver, pancreas, colon, endometrium,
kidney, and breast (1,2). Less
is known, however, about the effect on cancer risk of
moderately elevated glucose levels among nondiabetic
subjects.
Recently, total cancer risk was reported to
be modestly increased in women and men with elevated
levels of fasting glucose in a very large cohort study of
1.3 million Korean men and women with 53,833 incident
cases of cancer (3). Five substantially smaller
prospective studies (4–8) with
a total number of 11,000
incident cases of cancer also have reported data on associations
between fasting or postload glucose and cancer incidence
or mortality. Here, we report the results from a prospective study
in northern Sweden, with the aim to estimate the relationship of
hyperglycemia, as measured by fasting and postload glucose, with
the risk of cancer overall and the risk of cancer at specific organ
sites.
 |
RESEARCH DESIGN AND METHODS |
The Northern Sweden Health and Disease Cohort
The Västerbotten Intervention Project is a subcohort of the
Northern Sweden Health and Disease Cohort and has been described
in detail previously (9). In brief, all
residents in the county of Västerbotten in northern
Sweden were invited to a health survey, in the years in
which they become 40, 50, or 60 years old since 1985. An
abbreviated oral glucose tolerance test was performed,
according to the World Health Organization standard (10)
in all participants who had a fasting glucose level <7.0 mmol/l
and with no previously known diabetes, using a 75-g anhydric glucose
load and measuring plasma glucose after 2 h in capillary plasma
(11). Analysis of glucose was performed with the
use of Reflotron benchtop analyzers (Boehringer Mannheim,
Mannheim, Germany) on fresh samples. Information on
cancer diagnosis was obtained by linkage to the national
and regional cancer registers, and vital status was
obtained from the Swedish population register with the
use of a unique personal identification number. In October
2003, 74,207 subjects had been recruited. Participants were
excluded if they had missing values for height, weight (n
= 1,180), or smoking status (n = 2,896), had a previous
history of cancer except nonmelanoma skin cancer (n
= 1,435), or had a BMI <18.5 kg/m2 (n
= 562).
Statistical methods
Directly standardized cancer rates based on 5-year age classes were
calculated for each exposure category using the age distribution
of the entire male or female study population. Relative risks
(RRs) and 95% CIs were estimated with the use of standard
Poisson models, as previously extensively described (12).
Quartile cut points for the main factors (fasting and
postload glucose levels) were determined in the full
cohort. RRs by plasma glucose levels were adjusted for
age as a time-dependent variable (5-year groups), year of
recruitment (5-year intervals), fasting time (as 0, <8
h, or 8
h), and smoking status (never, former, or current smoker).
All statistical models systematically included BMI as an
adjustment variable and classified it into three groups (18.5–24.9,
25–29.9, and 30
kg/m2). The breast cancer analysis was
stratified into two groups (aged <49 years and aged 49
years at recruitment) as a surrogate for menopausal status
at baseline, which was not available as a more detailed variable.
Tests for linear trend were performed by computing likelihood
ratio statistics and the associated P value for a variable
with values equal to the median of each quartile of exposure.
In addition, levels of glucose were analyzed according to
current clinical definitions by the World Health Organization (13).
Assuming that glucose levels would equally be related to
risk for cancers that can affect both women and men, we calculated
risk for all subjects combined for these sites.
The appropriateness of the assumption of a
Poisson distribution of our data were examined by
computing a dispersion parameter as the ratio of the
Pearson’s 2
statistics over the degrees of freedom of the model (14).
This examination showed only a very minor degree of
overdispersion, indicating that the Poisson assumption
was acceptable. Repeated measurements of fasting and
postload glucose at a resurvey performed 10 years later were
available for 9,796 and 8,818 subjects, respectively. On the
basis of these repeat measurements, RR estimates were corrected
for attenuation due to random variations over time in plasma
glucose levels (15,16),
as described in detail in the online appendix (available
at http://dx.doi.org/10.2337/dc06-0922).
Absolute risks of developing cancer within
20 years from age 40 were calculated as described by Gail
et al. (17). Calculations were
performed for two age categories, 40–49 and 50–59 years.
Age-specific hazards of dying from competing risks were calculated
from the same cohort. Absolute risk calculations were
based on both uncorrected and corrected RR estimates. The attributable
fraction, based on an exponential relationship between
exposure and cancer, was calculated using both uncorrected and
adjusted RR estimates. The attributable fraction expresses the
expected reduction in disease occurrence that could be achieved
if study subjects in the top quartile were shifted to any of
the three lower quartiles. Estimates of the attributable
fraction were obtained using both the uncorrected RR
estimates and using RR estimates that had been corrected
for attenuation due to random measurement error. The 95%
CIs for the attributable fractions were estimated using a
bootstrap method, based on 1,000 iterations (18).
All statistical analyses were performed using SAS, version 9.1.3
(SAS, Cary, NC).
 |
RESULTS— |
The distribution of baseline
characteristics in the Västerbotten Intervention Project
is presented in Table 1. Even though the proportions
of subjects with impaired fasting glucose (IFG), impaired
glucose tolerance (IGT), and glucose levels in the diabetic
range were significantly higher among obese subjects, the
absolute numbers of subjects affected by IFG or IGT were highest
among normal-weight and overweight subjects (Fig. 1).
We observed statistically significant increases in mean glucose
levels with calendar time. From 1989 to 2002, mean levels of
fasting and postload glucose increased annually (1.3 and 0.6%,
respectively; Ptrend <0.0001), and age
also was related positively to glucose levels (Pearson
correlation r = 0.17 for fasting glucose and r
= 0.20 for postload glucose; P < 0.0001). The Pearson
correlation coefficient between fasting and postload glucose
was 0.34 (P < 0.0001), and the correlations between baseline
and repeat measurement after 10 years of fasting glucose and
postload glucose also were only modestly strong (r = 0.37
and r = 0.34, respectively; both P < 0.0001).
In contrast, the correlation between two repeated
measurements of BMI was much higher (r = 0.81; P
< 0.0001).
Among women, RRs of developing cancer were
statistically significantly increased with elevated
plasma glucose concentrations (RR 1.26 [95% CI
1.09–1.47] [Ptrend <0.001] and 1.31
[1.12–1.52] [Ptrend <0.001], for
the top versus bottom quartile of fasting and postload
glucose, respectively [Table 2]). After correction
for attenuation, these RR estimates increased to 1.75
(1.32–2.36) and 1.63 (1.26–2.18), respectively. Using
the World Health Organization cut points, women with IFG,
IGT, or glucose in the diabetic range risk also had an
increased risk of cancer (all sites combined) compared
with women with normal fasting glucose levels (Fig.
2). For separate female organ sites, we observed
statistically significant increases for endometrial cancer
with rising fasting and postload glucose up to an RR for
the top versus bottom quartile of 1.86 (1.09–3.31) (Ptrend
= 0.019) and 1.82 (1.07–3.23) (Ptrend = 0.028),
respectively (Fig. 2).
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Table
2— RR of cancer according to fasting and
postload glucose in quartiles in the Västerbotten
Intervention Project, northern Sweden
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Figure
2— RR of overall cancer according to World
Health Organization categories of fasing and
postload glucose plasma levels (mmol/l) in women and
men in the Västerbotten Intervention Project,
northern Sweden.
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In men, overall, no statistically significant associations were
observed between glucose levels and cancer risk, with RR
estimates of 1.08 (95% CI 0.92–1.27) (Ptrend
= 0.26) and 0.98 (0.84–1.16) (Ptrend
= 0.99), for top versus bottom quartiles of fasting and
postload glucose, respectively (Table 2). Men with
IFG, IGT, and glucose in the diabetic range also had no
statistically significant increase in risk compared with
men with glucose levels in the normal range (Fig.
2). After exclusion of prostate cancer, which was
weakly and inversely associated with hyperglycemia, the
risk of cancer became slightly higher than among all men, with
an RR for the top versus bottom quartile of fasting and postload
glucose of 1.12 (0.92–1.36) (Ptrend = 0.16) and
1.17 (0.95–1.45) (Ptrend = 0.095),
respectively. Analyses of data for women and men combined
showed statistically significant increases in risk of
pancreas cancer, malignant melanoma, and urinary tract
cancers among subjects who had elevated levels of fasting
glucose (Table 2).
BMI was then systematically included in the
Poisson models for the estimation of RRs with respect to
plasma glucose levels. Globally, the changes in estimates
after adjusting for BMI were only minor. After adjustment
for BMI, the RR for the top versus bottom quartile for
total cancer in women for fasting glucose decreased from
1.26 (95% CI 1.09–1.47) (Ptrend < 0.001)
to 1.22 (1.05–1.43) (Ptrend < 0.001)
and for postload glucose from 1.31 (1.12–1.52) (Ptrend
< 0.001) to 1.27 (1.09–1.48) (Ptrend
= 0.002). We also observed no significant difference in
overall cancer risks associated with plasma glucose levels
among smokers compared with nonsmokers (data not shown).
The absolute risks of cancer development
during a 20-year period for a 40-year-old woman in the
bottom and top quartiles of fasting glucose were 7 and
9%, respectively, and corresponding estimates corrected
for attenuation effects due to within-subject variations in
glucose level over time were 7 and 11%, respectively. The fractions
of total cancer attributable to a level of glucose represented
by the top quartile in women were calculated to be 5%
(95% CI 2–8) and 4% (1–8),
respectively, which rose to 10% (7–15)
and 9% (6–15), respectively,
after measurement error correction.
 |
CONCLUSIONS— |
In this prospective cohort study, abnormal glucose metabolism was
associated with a statistically significantly increased risk
of cancer overall in women but not in men. High levels of
fasting glucose in women and men were associated with statistically
significantly increased risk of pancreatic cancer, malignant
melanoma, and urinary tract cancers among subjects who had
elevated levels of fasting glucose. These associations
were independent of BMI, which showed only a very modest
correlation with glucose levels.
For women, our RR estimates for cancer, all
organ sites combined, were very similar to those in two
recent reports. In the large Korean cohort study with
53,833 incident cases of cancer, Jee et al. (3)
reported an RR of 1.15 for the top versus bottom quintile
of fasting plasma glucose (and 1.22 for men), and Rapp et
al. (8) reported very similar risk estimates, with
RRs of 1.28 and 1.20 for the top versus bottom category
of fasting glucose for women and men, respectively, from
a recent large Austrian cohort study including a total of
5,212 cases of cancer.
A number of our findings concurred with
those in previous prospective studies, including the
rather strong and statistically significant association
of fasting glucose levels with risk of pancreatic cancer
(3,5,19), as
well of endometrial cancer (20). We also observed
a twofold increase of risk of malignant melanoma for study
subjects with high fasting glucose. This latter finding has
not been reported previously, although in our cohort (21)
as well as in some other studies (22,23)
excess body weight was found to be related to increased
melanoma risk. Among women aged <49 years, who
presumably were premenopausal, we observed an increase in
breast cancer risk for elevated fasting glucose levels in
accordance with an earlier observation (24).
For men, we found no statistically
significant association between hyperglycemia and overall
cancer risk. However, for prostate cancer, which
accounted for more than two-thirds of all male cancers in
the Northern Sweden Health and Disease Cohort, risk was
nonsignificantly inversely related to glucose levels. In agreement
with our findings, a modest decrease in prostate cancer risk
has been consistently observed in men with diabetes (25,26).
After exclusion of prostate cancer, the association between
glucose levels and overall cancer risk became weakly positive
in our cohort.
The true risk associated with long-term
hyperglycemia may have been underestimated in our study
as well as in other studies with a similar design (3–7),
as there is substantial intraindividual variation over
time in fasting and postload plasma glucose levels (27,28).
Random variations over time will tend to bias estimates of
relative and absolute risk toward the null (regression dilution
bias) if the true determinant of the disease outcome is the
long-term, usual level of glucose (28,29).
We calculated relative and absolute risk estimates
corrected for attenuation due to random fluctuations over
time, using information from a second set of glucose
measurements. After correction, the increase in RR
associated with the highest levels of fasting and postload glucose
in women for cancer at all sites combined increased substantially
from 26 to 75% and from 31 to 63%, respectively.
In the 13 years for which there was
sufficient number of observations, mean levels of fasting
and postload glucose rose 17
and 8%, respectively, and with increasing age there was a
clear increase in the prevalence of hyperglycemia in our
cohort, in accordance with what has been reported for
other populations (30,31).
Thus, the fraction of total cancer incidence related to
abnormal glucose metabolism is likely to increase in the
near future in our population as well as in other
populations.
In conclusion, our finding of a
statistically significant association of hyperglycemia
with overall cancer risk in women and an increase in risk
of cancer at many sites in women and men is essentially in
accordance with the observations in some other large cohort studies,
suggesting that abnormal glucose metabolism is a general risk
factor for cancer development. Although the proportion of
subjects with hyperglycemia was highest among obese subjects, the
absolute numbers of subjects with hyperglycemia were larger among
women and men who were overweight or had normal body weight, and
plasma glucose levels remained associated with cancer risk after
adjustment for BMI. This observation may have considerable implications
for public health strategies, as key determinants of
hyperglycemia are known and modifiable. A lifestyle that decreases
plasma glucose levels may reduce overall cancer risk not
only among overweight or obese subjects but most likely also
among subjects with normal body weight. At the same time, current
evidence suggests that such a strategy also would contribute to
the prevention of diabetes and cardiovascular disease.
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Acknowledgments |
This study was funded by the World Cancer Research Fund (grant no.
2002/30), the Swedish Cancer Association, the Västerbotten County
Council, and the Lions Cancer Foundation, Umeå, Sweden.
 |
Footnotes |
Additional information for this article can be found in an
online appendix at http://dx.doi.org/10.2337/dc06-0922.
A table elsewhere in this issue shows
conventional and Système International (SI) units and
conversion factors for many substances.
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.
Received for publication May 5, 2006.
Accepted for publication December 6, 2006.
 |
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