Type 2 diabetes and risk of colorectal cancer in two large u. S. Prospective cohorts
Type 2 diabetes and risk of colorectal cancer in two large u. S. Prospective cohorts"
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ABSTRACT BACKGROUND Previous studies have shown a positive association between type 2 diabetes (T2D) and colorectal cancer (CRC) risk. However, it is uncertain whether this association
differs by duration of T2D or sex. We thus investigated the associations of T2D and its duration with the risk of incident CRC. METHODS We followed 87,523 women from the Nurses’ Health Study
(1980–2012) and 47,240 men from the Health Professionals Follow-up Study (1986–2012). Data on physician-diagnosed T2D was collected at baseline with a questionnaire and updated biennially.
Cox regression models were used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS We documented 3000 CRC cases during up to 32 years of
follow-up. Among men, T2D was associated with increased risk of CRC compared to those without T2D (HR: 1.42; 95% CI: 1.12–1.81). This positive association persisted in sensitivity analyses
by excluding CRC identified within 1 year of diabetes diagnosis and patients with T2D who used hypoglycaemic medications. Among women, T2D was positively, but not statistically
significantly, associated with CRC risk (HR: 1.17; 95% CI: 0.98–1.39). CONCLUSIONS Our findings support that T2D was associated with a moderately higher risk of developing CRC in men; a
weaker, nonsignificant positive association was observed in women. SIMILAR CONTENT BEING VIEWED BY OTHERS ASSOCIATIONS OF DIABETES AND MORTALITY AMONG COLORECTAL CANCER PATIENTS FROM THE
SOUTHERN COMMUNITY COHORT STUDY Article 19 July 2024 PREVALENT DIABETES AND RISK OF TOTAL, COLORECTAL, PROSTATE AND BREAST CANCERS IN AN AGEING POPULATION: META-ANALYSIS OF INDIVIDUAL
PARTICIPANT DATA FROM COHORTS OF THE CHANCES CONSORTIUM Article 26 March 2021 BODY MASS INDEX AND CANCER RISK IN PATIENTS WITH TYPE 2 DIABETES: A DOSE–RESPONSE META-ANALYSIS OF COHORT
STUDIES Article Open access 28 January 2021 INTRODUCTION Colorectal cancer is the third most commonly diagnosed cancer in the US1 and worldwide.2 A number of epidemiological studies have
shown that individuals with type 2 diabetes have a higher risk of developing colorectal cancer compared with their non-diabetic
counterparts.3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22 Elevated insulin due to insulin resistance and hyperinsulinaemia, which occurs in the early stages of type 2 diabetes,23 has
been hypothesised to partially explain the proposed type 2 diabetes–colorectal cancer association.24 Insulin is an important growth factor of colonic epithelial cells and is a mitogen of
tumour cell growth in vitro.24 Insulin may also promote colorectal carcinogenesis indirectly through increasing bioavailable insulin-like growth factor 1, which could enhance cell
proliferation and inhibit apoptosis.24 Another potential biological link between type 2 diabetes and cancer is hyperglycaemia, which may impair the effect of ascorbic acid on intracellular
metabolism, reduce the effectiveness of the immune system, and regulate the level of reactive oxygen species, which could favour cancer development and progression in diabetic patients.25
Several issues regarding the association between type 2 diabetes and colorectal cancer risk remained unresolved. First, the relationship between duration of diabetes and colorectal cancer
risk remains uncertain. Some studies have reported a higher risk of colorectal cancer with prolonged duration of type 2 diabetes3,5,26 or with short duration,13 whereas other studies have
shown no difference in risk by duration of type 2 diabetes.7,12 Second, most previous studies only examined a single measurement of diabetes at baseline,4,6,8,10,14,15 which cannot account
for new diagnoses of diabetes during follow-up. Last, published data has shown inconclusive results about the association of type 2 diabetes with the risk of different subsites of colorectal
cancer.27,28,29 The potential gender difference in the type 2 diabetes and colorectal cancer association also remains unclear. This issue is of interest because sex hormones (e.g.
testosterone, oestrogen and progesterone) may play a role in colorectal cancer.30,31,32,33,34,35 To address these issues, we examined whether physician-diagnosed type 2 diabetes and its
duration are associated with the risk of colorectal cancer in the Nurses’ Health Study and the Health Professionals Follow-up Study. In addition, we also examined potential differences in
the association by sex. METHODS STUDY POPULATION We conducted this study by using data from the two large-scale prospective cohort studies: the Nurses’ Health Study and the Health
Professionals Follow-up Study. In brief, the Nurses’ Health Study was initiated in 1976 and included a total of 121,700 US female registered nurses aged 30–55 years. The Health Professionals
Follow-up Study was established in 1986 and included 51,529 male health professionals aged 40–75 years. Participants were followed up biennially by validated questionnaires on demographics,
medical conditions, and health-related behaviours. The validity of questionnaire has been described in detail previously.36 The follow-up rates have been >90% in each cohort. For the
current study, we used 1980 as the baseline for the Nurses’ Health Study and 1986 for the Health Professionals Follow-up Study. We excluded participants with missing data on diabetes, with
unconfirmed diabetes, and with a history of cancer (except for non-melanoma skin cancer) or inflammatory bowel disease at baseline. After exclusions, the final study population consisted of
87,523 women from the Nurses’ Health Study and 47,240 men from the Health Professionals Follow-up Study. The study protocol was approved by the institutional review board of the Brigham and
Women’s Hospital and the Human Subjects Committee Review Board of the Harvard T. H. Chan School of Public Health. ASSESSMENT OF TYPE 2 DIABETES In the baseline and all biennial
questionnaires, the participants were asked if and when they had ever been diagnosed with type 2 diabetes by a physician. To confirm the self-reported cases of physician-diagnosed diabetes,
a supplementary questionnaire was then sent for ascertainment to obtain details about the date of diagnosis, symptoms, diagnostic tests, and hypoglycaemic treatment. Beginning in 1986 in
each cohort, supplementary questionnaires were administered to collect information on antidiabetic drug use (insulin or hypoglycaemic agent) as described in detail previously.37 Cases of
type 2 diabetes were defined as initially self-reported diabetes and subsequently confirmed by the validated questionnaires.38,39 Consistent with previous studies from the same cohorts,40
confirmed diabetes requires at least one of the following criteria reported on the supplementary questionnaire according to the American Diabetes Association: one or more classic symptoms
(excessive thirst, polyuria or frequent urination, weight loss, hunger) plus fasting plasma glucose ≥7.0 mmol/l or random plasma glucose levels ≥11.1 mmol/l; ≥2 elevated plasma glucose
concentrations on different occasions (fasting glucose ≥7.0 mmol/l, random plasma glucose ≥11.1 mmol/l, and/or plasma glucose ≥11.1 mmol/l after ≥2 h shown by oral glucose tolerance testing)
in the absence of symptoms; or treatment with hypoglycaemic medication. Before 1998, fasting plasma glucose of 7.8 mmol/l was considered for the diagnosis of diabetes according to the
National Diabetes Data Group criteria. The validity of the supplementary questionnaire has been confirmed through medical records. In each cohort, diagnosis of type 2 diabetes was confirmed
in >97% of the cases.39,41 ASSESSMENT OF COVARIATES Information on body weight, physical activity, other lifestyle information, and medical history was obtained at baseline and was
updated through biennial questionnaires. Height was ascertained in 1980 in the Nurses’ Health Study and in 1986 in the Health Professionals Follow-up Study. We calculated body mass index
(BMI) as weight in kilograms divided by height in metres squared. Early-life BMI was measured at 18 years in the Nurses’ Health Study and at 21 years in the Health Professionals Follow-up
Study. Each cohort administered food-frequency questionnaires (~130 food items) to obtain information on usual dietary intake over the previous year at baseline and repeated almost every 4
years thereafter, which allowed us to calculate intakes of nutrients and foods such as alcohol, calories, calcium, dietary fibre, sugar, carbohydrates, folate, vitamin D, processed meat, and
red meat.42,43,44,45,46 IDENTIFICATION OF COLORECTAL CANCER CASES In both cohorts, we identified cases of colorectal cancer through biennial questionnaires.47 All possible cancer cases were
confirmed through review of medical and pathological records. The incident colorectal cancer cases were defined as a primary tumour with International Classification of Diseases-9 codes of
153 and 154. A study physician who was blinded to exposure data abstracted information on tumour anatomic location, stage, and histology. We searched state vital statistics records and the
National Death Index to identify additional unreported cancer deaths. In this analysis, we considered both overall colorectal cancer and anatomic subsites, including colon cancer, proximal
colon cancer (caecum, ascending colon, and transverse colon), distal colon cancer (descending colon and sigmoid colon), and rectal cancer (including recto-sigmoid). STATISTICAL ANALYSES
Person-time for participants was calculated from the return of the baseline questionnaires until the date of colorectal cancer diagnosis, death, loss to follow-up, or the end of the
follow-up (June 2012 for the Nurses’ Health Study and January 2012 for the Health Professionals Follow-up Study), whichever came first. Consistent with our previous report,7 we evaluated the
association with status (no versus yes) and duration of type 2 diabetes (0.1–5, 5.1–10, 10.1–15, and >15 years) within each cohort. We used Cox regression models to calculate the
multivariable hazard ratios (HRs) and 95% confidence intervals (95% CIs). Age in months and calendar year at the start of follow-up of each 2-year questionnaire cycle were used as
stratification variables in the model. In the multivariable analyses, we adjusted for race (Whites or non-Whites); family history of diabetes (yes or no); regular aspirin use (yes or no);
BMI (<25, 25–<27.5, 27.5–<30, ≥30 kg/m2); history of colorectal cancer in a parent or sibling (yes or no); history of endoscopy/sigmoidoscopy (yes or no); smoking habits (0, 1–10,
or >10 pack-years); alcohol consumption (<5, 5–<15, ≥15 g/day); physical activity (<3, 3–<27, ≥27 METS-hours/week); total calories (tertiles); energy-adjusted intake of total
folate; total calcium; total vitamin D; processed meat; and beef, pork, or lamb as a main dish (all in tertiles). For women, we additionally adjusted for postmenopausal hormone use
(premenopausal, never, past, or current user). Confounders were updated over the follow-up periods to reduce random within-person measurement error. Test of statistical heterogeneity in the
association of type 2 diabetes and colorectal cancer risk by gender was assessed by the Q statistics.48 For the two cohorts, there were about 0.1–3% missing data in processed meat, beef,
pork, or lamb as the main dish or for family history of colorectal cancer. Given the generally low proportion of missing data in these covariates, we have included the individuals with
missing in family history of colorectal cancer in the no family history group and missing in intake of processed meat or beef, pork, or lamb as the main dish in the tertile 1 group. Previous
studies have suggested that smoking20 may modify the association between diabetes and colorectal cancer; and BMI, physical activity, and moderate alcohol consumption are associated with
insulin resistance.49,50,51 Therefore, we considered these potential variables that might modify the diabetes and colorectal cancer risk associations. We conducted subgroup analyses by
smoking status (never smoker versus ever smoker), BMI (≥25 versus <25 kg/m2), early life BMI (≥23 versus <23 kg/m2), physical activity (<9 versus ≥9 METS-hours/week), alcohol
drinking (non-drinkers versus drinkers), and other selected risk factors including age (≥65 versus <65 years) and family history of diabetes (yes versus no). We used Wald test to examine
whether the cross-product terms between these variables and diabetes status were statistically significant. We conducted several secondary analyses. First, we evaluated whether the
associations between diabetes (status and duration) and colorectal cancer risk differed by anatomic subsites (colon cancer, proximal colon cancer, distal colon cancer, and rectal cancer).28
Second, we restricted analyses to untreated diabetes by excluding patients with type 2 diabetes who have used hypoglycaemic medication (insulin or oral hypoglycaemic agent). A total of 195
cases (146 for women and 49 for men) were excluded from our analysis to investigate whether diabetes treatments affect the association between type 2 diabetes and colorectal cancer risk.
Last, we excluded colorectal cancer cases diagnosed within 1 year of diabetes diagnosis to minimise the potential for reverse causality and detection bias. All statistical analyses were
conducted using the SAS software (Version 9.3; SAS Institute, Cary, NC, USA). All statistical tests were two sided, and the significance level was set at _P_ < 0.05. RESULTS During
3,547,837 person-years of follow-up, we documented a total of 3000 incident cases of colorectal cancer (1790 in women and 1210 in men). In both cohorts, participants with type 2 diabetes
were older and more likely to smoke and have a family history of diabetes (Table 1). Moreover, participants with type 2 diabetes were more likely to have higher BMI and use aspirin and were
less likely to be physically active, drink alcohol, and consume sugar. Patients with longer duration of type 2 diabetes generally tended to be more physically active and consume less sugar
and carbohydrates but were more likely to consume processed meats (especially in men). Among men, type 2 diabetes was associated with increased risk of incident colorectal cancer
(multivariable HR: 1.42; 95% CI: 1.12–1.81) (Table 2). The positive association for men persisted in sensitivity analyses excluding colorectal cancer cases diagnosed within 1 year of type 2
diabetes diagnosis (multivariable HR: 1.40; 95% CI: 1.10–1.78). Additionally, we observed similar positive associations for each tumour anatomic subsite (Supplementary Table 1) and when we
restricted cases to only those with untreated diabetes (Supplementary Table 2_)_. Among women, type 2 diabetes showed only a modest, borderline significant association with colorectal cancer
risk (HR: 1.17; 95% CI: 0.98–1.39) (Table 2). The heterogeneity test did not achieve statistical significance (_P_ = 0.20 for men versus women). Colorectal cancer risk did not vary with
type 2 diabetes duration in either men or women. In stratified analyses (Table 3), the association between type 2 diabetes and colorectal cancer risk appeared slightly stronger among ever
smokers (_P-interaction_ = 0.04 for women) and non-drinkers (_P-interaction_ = 0.05 for men). Additionally, the association was also slightly stronger for those with higher BMI or early life
BMI and individuals with a family history of diabetes, but none of the _P_-values were statistically significant. DISCUSSION In these two large prospective cohort studies, with >26 years
of follow-up, we found that type 2 diabetes was associated with a moderately higher risk of incident colorectal cancer in men; a weaker, nonsignificant positive association was observed in
women. The positive association for men remained in sensitivity analyses that accounted for potential reverse causality by excluding colorectal cancer cases diagnosed within 1 year of
diagnosis of type 2 diabetes and diabetes treatments and did not vary by diabetes duration. In our previous study with follow-up through 1994,7 we reported a significant association between
type 2 diabetes and colorectal cancer risk among women in the Nurses’ Health Study (HR: 1.43; 95% CI: 1.10–1.87). Positive associations of similar magnitude were reported for the women in
the Cancer Prevention Study II17 and the Iowa Women’s Health Study16 with follow-up through 1998 and 1999, respectively. In 2005, a meta-analysis of 15 studies (6 case–control and 9 cohort
studies, including our prior Nurses’ Health Study report) reported positive associations for diabetes and colorectal cancer risk of similar magnitude for men (HR: 1.29; 95% CI: 1.15–1.44)
and women (HR: 1.33; 95% CI: 1.23–1.44).9 However, most subsequent studies have reported a weaker positive14 or a null association3,18,20,21,22 between type 2 diabetes and colorectal cancer
risk among women. This was consistent with our observation of a slightly weaker association in women but a moderately higher-risk association in men. The possible differential association
between women and men observed might be due to potential sex differences in the use of metformin and degree of glucose control.3 Compared with men, metformin has been more commonly used
among women since the late 1990s.52 However, the potential effect of metformin use and colorectal cancer risk is not completely understood and more better designed studies are warranted to
quantify the magnitude of the association between metformin use and colorectal cancer risk. Additionally, women generally tend to have better glucose control than men, even among those with
type 2 diabetes.3 In fact, among individuals with type 2 diabetes, this difference is increasing. The National Health and Nutrition Examination Survey data showed that women with type 2
diabetes, but not men, have statistically significantly improved haemoglobin A1c (an indicator of glucose control) during the period from 1999 to 2004 in the US.53 Furthermore, differences
in sex hormones may contribute to a more insulin-sensitive environment in women than in men. It may protect women from adverse outcomes related to hyperinsulinaemia.54,55 Observational
studies30,31,32,33,34,56 suggested an inverse association of endogenous oestrogens with the risk of colorectal cancer among women. Particularly, compared with women, men may have a higher
insulin resistance partly due to the lack the protective effect of oestrogen.54,55 Despite relatively comprehensive research on type 2 diabetes in relation to risk of colorectal cancer,29
current findings are inconsistent with regard to the potential gender difference. We observed a slightly stronger association in men than in women in this study but there was no
statistically significant heterogeneity by gender. Nonetheless, the association between type 2 diabetes and colorectal cancer is strongly influenced by shared risk factors such as genetic
variants, obesity, smoking, alcohol, and lack of physical activity.57,58 These potential factors might modify the diabetes and colorectal cancer risk differently in women and men, which
requires further investigation. We found that the type 2 diabetes–colorectal cancer association did not appear to be associated with diabetes duration. Because beta cells in the pancreas
produce lower insulin levels as diabetes progresses into later stage, if hyperinsulinaemia plays a key role in this association, stronger positive associations would be expected in the early
stage of diabetes. Thus our results did not support a strong role of hyperinsulinaemia in diabetes–colorectal cancer association. We found slightly stronger associations between type 2
diabetes and colorectal cancer among ever smokers. This observation was consistent with a population-based, retrospective cohort study, which reported a stronger positive association among
smokers.20 We also found a stronger association among non-drinkers of alcohol, indicating a potential interactive effect of alcohol consumption on type 2 diabetes. A similar, though not
statistically significant, pattern was observed in women. Similar to that seen in cardiovascular disease,59 light-to-moderate intake of alcohol was associated with the reduced risk of
colorectal cancer in some studies.60,61,62 Light-to-moderate alcohol consumption may increase insulin sensitivity and thus reduce insulin production.49,50 This was consistent with the
observation that moderate alcohol consumption was associated with lower levels of plasma C-peptide and lower risk of colorectal cancer.63 Thus the potential interaction between insulin and
alcohol may protect patients with type 2 diabetes from serious outcomes of hyperinsulinaemia. However, the underlying mechanisms warrant further investigation. Our present study has several
strengths, including the prospective cohort design, high follow-up rates, validated colorectal cancer outcomes, and the use of repeated measures of physician-confirmed diabetes and lifestyle
data. Our study also has several limitations. First, we have limited data on diabetes treatment. The observed association could be influenced by diabetes treatments because medications used
to treat diabetes such as insulin injection64 or metformin use65 may affect the incidence of colorectal cancer. Moreover, we have limited data on glucose control because hyperglycaemia will
also affect the cancer risk. However, the results were similar when we restricted the analysis among untreated diabetes (without any use of insulin or other hypoglycaemic agents). Second,
our results might be influenced by detection bias, because newly diagnosed diabetes is more likely to be diagnosed with cancer due to increased detection around the time of the diagnosis of
diabetes.66 However, we observed similar positive association when we excluded cases diagnosed within 1 year since type 2 diabetes. In summary, our study suggests that type 2 diabetes was
associated with a moderately higher risk of incident colorectal cancer in men; a weaker, nonsignificant association was observed in women. More studies are warranted to further investigate
the underlying mechanisms. Our finding further underscores the importance of enhancing the effort to reduce the emerging epidemics of type 2 diabetes for colorectal cancer prevention and
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detection bias. _Diabetologia_ 54, 2263–2271 (2011). Article CAS Google Scholar Download references ACKNOWLEDGEMENTS We would like to thank the participants and staff of the Nurses’
Health Study and the Health Professionals Follow-up Study for their valuable contributions as well as the following state cancer registries for their help: A.L., A.Z., A.R., C.A., C.O.,
C.T., D.E., F.L., G.A., I.D., I.L., I.N., I.A., K.Y., L.A., M.E., M.D., M.A., M.I., N.E., N.H., N.J., N.Y., N.C., N.D., O.H., O.K., O.R., P.A., R.I., S.C., T.N., T.X., V.A., W.A., W.Y.
AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * School of Public Health, China Medical University, Shenyang, Liaoning, P.R. China Yanan Ma & Deliang Wen * Channing Division of Network
Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA Yanan Ma, Wanshui Yang, Frank B. Hu, Andrew T. Chan, Edward L. Giovannucci &
Xuehong Zhang * Department of Nutrition, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China Wanshui Yang * Department of Nutrition, Harvard T.H. Chan School of
Public Health, Boston, MA, USA Mingyang Song, Stephanie A. Smith-Warner, Yanping Li, Yang Hu, Frank B. Hu & Edward L. Giovannucci * Clinical and Translational Epidemiology Unit,
Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA Mingyang Song & Andrew T. Chan * Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
Mingyang Song & Andrew T. Chan * Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA Stephanie A. Smith-Warner & Yang Hu * 2011 Collaborative
Innovation Center of Tianjin for Medical Epigenetics, Key Laboratory of Hormone and Development (Ministry of Health), Metabolic Disease Hospital and Tianjin Institute of Endocrinology,
Tianjin Medical University, 300070, Tianjin, P.R. China Juhong Yang * Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA Wenjie Ma, Shuji Ogino &
Edward L. Giovannucci * Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA Shuji Ogino * Broad Institute of Massachusetts Institute
of Technology and Harvard, Cambridge, MA, USA Shuji Ogino & Andrew T. Chan * Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and
Harvard Medical School, Boston, MA, USA Shuji Ogino * Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA Andrew T. Chan Authors *
Yanan Ma View author publications You can also search for this author inPubMed Google Scholar * Wanshui Yang View author publications You can also search for this author inPubMed Google
Scholar * Mingyang Song View author publications You can also search for this author inPubMed Google Scholar * Stephanie A. Smith-Warner View author publications You can also search for this
author inPubMed Google Scholar * Juhong Yang View author publications You can also search for this author inPubMed Google Scholar * Yanping Li View author publications You can also search
for this author inPubMed Google Scholar * Wenjie Ma View author publications You can also search for this author inPubMed Google Scholar * Yang Hu View author publications You can also
search for this author inPubMed Google Scholar * Shuji Ogino View author publications You can also search for this author inPubMed Google Scholar * Frank B. Hu View author publications You
can also search for this author inPubMed Google Scholar * Deliang Wen View author publications You can also search for this author inPubMed Google Scholar * Andrew T. Chan View author
publications You can also search for this author inPubMed Google Scholar * Edward L. Giovannucci View author publications You can also search for this author inPubMed Google Scholar *
Xuehong Zhang View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS Y.M. wrote the paper. Y.M. and W.Y. did the statistical analysis, supervised
by X.Z. All authors contributed to the data interpretation, revised each draft for important intellectual content, and read and approved the final manuscript. CORRESPONDING AUTHOR
Correspondence to Xuehong Zhang. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. AVAILABILITY OF DATA AND MATERIALS The data sets generated during and/or
analysed during the current study are available for non-commercial use from the corresponding author on reasonable request. ETHICAL APPROVAL/CONSENT TO PARTICIPATE The study protocol was
approved by the institutional review board of the Brigham and Women’s Hospital and the Human Subjects Committee Review Board of the Harvard T. H. Chan School of Public Health. FUNDING No
external funding was used for conducting this study. NOTE This work is published under the standard license to publish agreement. After 12 months the work will become freely available and
the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0). ELECTRONIC SUPPLEMENTARY MATERIAL SUPPLEMENTARY TABLE 1, SUPPLEMENTARY TABLE 2 RIGHTS AND
PERMISSIONS This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Ma, Y., Yang, W., Song, M. _et al._ Type 2 diabetes and risk of colorectal cancer in two
large U.S. prospective cohorts. _Br J Cancer_ 119, 1436–1442 (2018). https://doi.org/10.1038/s41416-018-0314-4 Download citation * Received: 05 May 2018 * Revised: 27 September 2018 *
Accepted: 03 October 2018 * Published: 07 November 2018 * Issue Date: 27 November 2018 * DOI: https://doi.org/10.1038/s41416-018-0314-4 SHARE THIS ARTICLE Anyone you share the following link
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