Abstract
Background & Aims
Inflammatory bowel diseases (IBDs) such as Crohn’s disease and ulcerative colitis are associated with an increased risk of colorectal cancer (CRC). Chemopreventive strategies have produced weak or inconsistent results. Statins have been inversely associated with sporadic CRC. We examined their role as chemopreventive agents in patients with IBD.
Methods
We collected data from 11,001 patients with IBD receiving care at hospitals in the Greater Boston metropolitan area from 1998 through 2010. Diagnoses of CRC were determined using validated ICD-9-CM codes. Statin use prior to diagnosis was assessed through analysis of electronic prescriptions. We performed multivariate logistic regression analyses, adjusting for potential confounders including primary sclerosing cholangitis, smoking, increased levels of inflammation markers, and CRC screening practices to identify independent association between statin use and CRC. We performed sensitivity analyses using propensity score adjustment and variation in definition of statin use.
Results
In our cohort 1376 of the patients (12.5%) received 1 or more prescriptions for a statin. Patients using statins were more likely to be older, male, white, smokers, and have greater comorbidity than non-users. Over a follow-up period of 9 years, 2% of statin users developed CRC compared to 3% of non-users (age-adjusted odds ratio, 0.35; 95% confidence interval, 0.24–0.53). On multivariate analysis, statin use remained independently and inversely associated with CRC (odds ratio, 0.42; 95% confidence interval, 0.28–0.62). Our findings were robust on a variety of sensitivity and subgroup analyses.
Conclusions
Statin use is inversely associated with risk of CRC in a large IBD cohort. Prospective studies on the role of statins as chemopreventive agents are warranted.
Keywords: Crohn’s disease, ulcerative colitis, statin, colon cancer, HMG-CoA reductase inhibitors, lipid-lowering drug
INTRODUCTION
Colorectal cancer (CRC) is an important source of morbidity in inflammatory bowel diseases (IBD; Crohn’s disease (CD), ulcerative colitis (UC))1–6. Patients with long-standing UC and colonic CD have a 2-fold increase in risk of CRC compared to the general population and a cumulative risk as high as 18% after 30 years of disease5, 7, 8 though population based studies have estimated this to be lower (2% after 25 years)9. Additionally, despite a decline in incidence of IBD-related CRC10, 11, an excess risk persists in those with extensive colitis and prolonged disease. Other risk factors include co-existing primary sclerosing cholangitis (PSC), positive family history, male gender, and smoking6. Several mechanisms have been proposed to explain the development of IBD-related CRC and its distinction from sporadic cancer. These include early occurrence of p53 mutations in IBD-associated neoplasia, alteration in methylation profile in dysplastic and non-dysplastic mucosa and mutations in KRAS and CDKN2A contributing to a field defect, and alteration in the intestinal microflora which may be exacerbated by inflammation5, 12–16.
Various chemopreventive approaches have been suggested to reduce the risk of IBD-related CRC. Recognizing the association between persistent colonic inflammation and cancer, a potential chemopreventive effect could be exerted by medications used to treat IBD. Indeed much initial enthusiasm surrounded the use of 5-aminosalicylates for this role with initial studies showing a reduced risk of CRC with sulfasalazine or mesalamines5, 17–19. However, subsequent studies failed to support this benefit, directing attention to therapies with other mechanisms of effect20, 21.
Statins are a class of medications that exert their primary action by inhibition of 3-hydroxy 3-methylglutaryl-coenzyme A (HMG-CoA). They are among the most commonly used drugs for treatment of hypercholesterolemia and reduction of cardiovascular risk22. However studies have suggested an intriguing potential benefit by reducing cancer incidence, in particular, colorectal cancer22–25. Most prior studies have focused on sporadic colon cancer with only one prior study demonstrating an inverse association between statin use and IBD-related neoplasia26. However, this study was limited by a small number of IBD patients and inability to adjust for several key disease-related covariates. The aim of the present study was to use a well characterized multi-center large IBD cohort to examine whether use of statins modified risk of CRC in patients with IBD. Additionally, we analyzed if this effect remained robust adjusting for the effect of inflammatory burden, disease severity, and differences in healthcare behavior between statin users and non-users.
METHODS
Study Population
The population for this study consisted of a cohort of patients with CD or UC receiving care at one of two referral hospitals serving the Greater Boston metropolitan area. The development of this cohort has been described previously27–30. We identified all eligible patients with at least 1 International Classification of Diseases, 9th Edition, clinical modification (ICD-9-CM) codes for CD (555.x) or UC (556.x). Using a combination of ICD-9-CM codes for disease complications and procedures, electronic prescriptions for medications, and narrative free text data identified using natural language processing, we developed and validated a case-finding algorithm to classify patients as having UC or CD with a positive predictive value (PPV) of 97%. This yielded a final cohort of 11,001 IBD patients.
Exposure, Covariates, and Outcomes
Our main outcome was development of CRC, determined by an ICD-9-CM code for colon or rectal cancer (153.x – 154.x). We have previously validated this on chart review with a PPV of 92%27, 30. The main exposure was use of statins, defined as at least one electronic prescription for a statin (atorvastatin, simvastatin, lovastatin, pitavastatin, pravastatin, rosuvastatin, and fluvastatin). Statin users were defined as those who had prescription of statin at least 6 months prior to the diagnosis of colon cancer or end of follow-up.
Covariates ascertained from the medical record included gender, race, current age, and age at first contact with a diagnosis code for IBD. Non-IBD co-morbidity was quantified using the Charlson co-morbidity index31. Due to absence of reliable administrative data on smoking, a previously utilized method using narrative terms to define ever and never smokers was used32, 33. Individuals with one or more narrative mentions of past or current smoking were considered ever smokers. Disease-related covariates included type of IBD (CD or UC), presence of co-existing primary sclerosing cholangitis (PSC)28, and medical therapies (at least one electronic prescription) including use of 5-aminosalicylates (5-ASA), immunomodulators (azathioprine, 6-mercaptopurine, methotrexate), and anti-tumor necrosis factor α biologic therapies (anti-TNF; infliximab, adalimumab, certolizumab).
As colonoscopy has been shown to be inversely associated with CRC in IBD patients27, we assessed whether patients had undergone a colonoscopy within 6–36 months prior to development of CRC or end of follow-up. To adjust for burden of inflammation, patients with available C-reactive protein (CRP) levels (n=4,847) were classified as having normal or elevated values using a dichotomous cut-off of 8mg/L based on our laboratory ranges. For those with missing CRP, but available ESR (n=2,280), a threshold of 20mm/hr was used to define elevated inflammatory marker levels. Patients missing both CRP and ESR values were assigned the median values for the cohort.
Statistical Analysis
All analysis was carried out using Stata 13.2 (StataCorp, College Station, TX). Continuous variables were summarized using medians and interquartile ranges when skewed and means with standard deviation where normally distributed. Categorical variables were expressed as proportions and compared using the chi-square test. Univariate logistic regression was performed to identify potentially relevant covariates (p < 0.1) which were entered into a multivariable model to identify independent predictors at p < 0.05. A priori specified subgroup analyses were performed stratifying by gender, type of IBD, and smoking status.
We performed a number of sensitivity analyses to test the robustness of our findings. First, to account for non-random use of statins in our cohort, we adjusted for a propensity score defining likelihood of receiving a statin prescription that incorporated age, gender, smoking status, race, and non-IBD co-morbidity. To adjust for differing intensity of healthcare utilization between statin users and non-users, we adjusted for number of distinct healthcare contacts (laboratory tests, radiology procedures, office visits, hospital stays) per unit calendar year time (fact density). To minimize the effects of calendar time bias, we adjusted for earliest and latest date of follow-up in our system. Finally, we repeated our analysis lengthening the minimum required interval between statin use and CRC diagnosis to be classified a user to 2 years, and requiring at least 2 distinct prescriptions for statins within our healthcare system. The study was approved by the Institutional Review Board of Partners Healthcare.
RESULTS
Our study consisted of 11,001 patients with IBD among whom 1,376 (12.5%) received one or more prescriptions for a statin (Table 1). Statin users were likely to be older, male, and white compared to non-users. They were also more likely to have UC (62% vs. 49%), while being less likely to require immunomodulator or anti-TNF biologic therapy use when compared to non-users. Statin use was also associated with lower rates of surgery (8% vs. 13%) and hospitalization (28% vs. 31%) (p < 0.05 for both). However, statin users has similar median C-reactive protein levels when compared to non-users (5mg/L vs. 4.4mg/L, p=0.11). As expected, patients prescribed statin were more likely to be ever smokers (86% vs. 55%) and had higher burden of non-IBD co-morbidity than non-users. Statin users were also modestly more likely to have a recent colonoscopy within 3 years when compared to non-users (40% vs. 35%).
Table 1.
Characteristics of statin users and non-users in patients with inflammatory bowel diseases
Characteristic | Statin users (n = 1,376) | Statin non-users (n = 9,625) | p-value |
---|---|---|---|
Current age (in years) [Median (IQR)] | 67 (58 – 76) | 42 (29 – 56) | < 0.001 |
Age at first IBD contact (in years) [Median (IQR)] | 59 (50 – 68) | 36 (24 – 50) | < 0.001 |
Duration since first IBD contact (in years) [Median (IQR)] | 7 (3 – 11) | 5 (2 – 9) | < 0.001 |
Female (%) | 45 | 54 | < 0.001 |
White race (%) | 89 | 85 | < 0.001 |
Type of IBD – ulcerative colitis (%) | 62 | 49 | < 0.001 |
Charlson score [Mean(SD)] | 5.8 (3.7) | 2.1 (2.7) | < 0.001 |
Co-existing PSC (%) | 2 | 2 | 0.68 |
Medical therapies | |||
Immunomodulator (%) | 20 | 25 | < 0.001 |
Anti-TNF biologics (%) | 6 | 13 | < 0.001 |
Colonoscopy within 3 years (%) | 40 | 35 | < 0.001 |
C-Reactive protein [Median (IQR)] (in mg/L) | 5 (2 – 16) | 4.4 (2 – 14.4) | 0.11 |
Ever smoker (%) | 86 | 55 | < 0.001 |
Among patients using statins, 30 developed CRC on follow-up (2%) when compared to 287 among statin non-users (3%) (age-adjusted OR 0.35, 95% CI 0.24 – 0.53). Among users, the mean interval between statin prescription and CRC diagnosis was 4 years. On adjustment for age, gender, race, duration of follow-up, smoking status, type of IBD, recent colonoscopy, immunomodulator, and anti-TNF biologic exposure, statin use demonstrated a statistically significant and independent inverse association with CRC (OR 0.42, 95% CI 0.28 – 0.62). Other significant risk factors for CRC included age (OR 1.04 for every 1 year increase in age), a diagnosis of PSC (OR 3.37, 95% CI 1.93 – 5.88), smoking (1.85, 95% CI 1.42 – 2.41) and elevated inflammatory markers (OR 1.82, 95% CI 1.31 – 2.53) while female gender, non-white race, and recent colonoscopy within 3 years (OR 0.52, 95% CI 0.37 – 0.73) were inversely associated with risk of CRC. Use of 5-aminosalicylates did not modify risk of CRC on univariate analysis and was not included in the multivariable model.
We then compared characteristics of CRC patients stratified by statin use (Table 3). Statin users who developed CRC were likely to be older, had a longer interval between first contact for IBD and a diagnosis of CRC, and more likely to have UC than statin non-users who developed CRC. There was no difference in overall mortality among CRC patients based on prior statin use (p=0.74).
Table 3.
Characteristics of colorectal cancer in statin users and non-users
Characteristic | Statin users (n = 30) | Statin non-users (n = 287) | p-value |
---|---|---|---|
Age at cancer diagnosis [Median(IQR)] (in years) | 67 (63 – 73) | 55 (45 – 65) | < 0.001 |
Age at first IBD contact [Median(IQR)] (in years) | 64 (56 – 68) | 53 (41 – 64) | < 0.001 |
Mean duration since first IBD contact (in years) | 6 | 3 | < 0.001 |
Female (%) | 33 | 42 | 0.35 |
White (%) | 93 | 89 | 0.48 |
Ulcerative colitis (%) | 80 | 46 | < 0.001 |
Co-existing PSC (%) | 7 | 5 | 0.67 |
Medical therapies | |||
Immunomodulator (%) | 23 | 16 | 0.31 |
Anti-TNF biologics (%) | 0 | 7 | 0.14 |
C-Reactive protein [Median(IQR)] (in mg/L) | 5.4 (0.5 – 11.8) | 7.1 (3.7 – 29.4) | < 0.001 |
Ever smoker (%) | 93 | 71 | 0.008 |
Died (%) | 30 | 27 | 0.74 |
Sensitivity Analyses
In a multivariable model additionally adjusting for the propensity score outline above, there was no alteration in the association between statin use and CRC (OR 0.30, 95% CI 0.19 – 0.45). Adjusting for intensity of healthcare utilization yielded a similarly robust inverse association (OR 0.36, 95% CI 0.24 – 0.55). Adjusting the multivariable model for date of earliest contact or most recent follow-up identified no modification of our effect sizes. Requiring at least 2 distinct prescriptions for statins did not significantly modify our findings. Requiring a minimum of 2 year interval between statin prescription and diagnosis of CRC to be considered a user further strengthened our association (OR 0.21, 95% CI 0.13 – 0.35). On subgroup analysis, statin use was associated with a similarly lower risk of CRC in those with UC as CD, in men and women, and smokers and non-smokers (Table 4). To account for the intensity of a surveillance program, in addition to whether a colonoscopy was performed within 3 years, we adjusted for the number of colonoscopies over their duration of follow-up within our system and found no alteration in the association between statin use and CRC (OR 0.39, 95% CI 0.25 – 0.59). Recognizing that both CRP and ESR may not adequately predict inflammatory burden in all patients, we repeated the analysis adjusting for number of corticosteroid prescriptions and found no difference in our findings (OR 0.33, 95% CI 0.21 – 0.51). Restricting the analysis to those with a listed Partners primary care provider, and consequently the highest likelihood of receiving their care primarily within our system yielded similar results (OR 0.34, 95% CI 0.21 – 0.55).
Table 4.
Results of stratified analysis between statin use and risk of colorectal cancer in inflammatory bowel diseases
Adjusted Odds ratio | 95% Confidence interval | |
---|---|---|
By type of inflammatory bowel disease | ||
Ulcerative colitis | 0.57 | 0.35 – 0.93 |
Crohn’s disease | 0.15 | 0.06 – 0.35 |
By gender | ||
Female | 0.36 | 0.18 – 0.75 |
Male | 0.35 | 0.21 – 0.59 |
Smoking status | ||
Never smoker | 0.20 | 0.05 – 0.87 |
Ever smoker | 0.44 | 0.29 – 0.67 |
P (interaction) > 0.05 for all comparisons
DISCUSSION
Colorectal cancer is an important cause of morbidity and mortality in patients with inflammatory bowel diseases1–6. Efficacy of chemopreventives in reducing this risk has been weak and inconsistent, limited by the quality of data, much of which are from small cohorts or inadequately adjust for confounding disease-related factors5, 6, 34. In this study, we used a large cohort of IBD patients with long follow-up to demonstrate a strong and robust inverse association between use of statins and risk of CRC.
Support for the potential chemopreventive effect of statins against colon cancer is derived from both experimental data in animal models and large epidemiologic cohorts22, 23. In two large prospective cohort studies, current use of statins was associated with a reduced risk for rectal but not colon cancer35. In a large population-based study of colorectal cancer from Northern Israel that included nearly 2,000 patients with colorectal cancer, use of statins for at least five years was associated with a 50% reduction in the risk of colorectal cancer compared to non-users36. Using this cohort, Samadder et al. examined the effect on colorectal neoplasia specifically in IBD26. Disease diagnosis and medication use was by recall, and analysis lacked information on important disease-related confounders including duration of disease, extent, coexisting PSC, and treatments used. In an analysis that included 60 IBD patients, long-term statin use was associated with a significant reduction of risk of colon cancer (OR 0.07), an effect that was larger in magnitude than among the participants without IBD26. However, as outlined above, the many limitations in the study design and sample size limited the generalizability of the findings. In the general population, other prospective cohorts have yielded non-statistically significant trends towards a reduced risk of colon cancer with statin use37, 38. This effect was recently confirmed in a meta-analysis demonstrating a weak effect among both cohort and case control studies39.
The mechanisms of effect of statins may be through HMG-CoA reductase inhibition as well as non HMG-CoA related effects22, 23. Through inhibition of HMG-CoA reductase, statins reduce the production of farnesyl pyrophosphate and geranylgeranyl pyrophosphate (GGPP) which are required for post-transitional modification (isoprenylation) and activation of various proteins including the Ras and Rho proteins22, 23, 40. These proteins are over-expressed in CRC and are associated with tumor invasion22. In rat intestinal epithelium, this inhibition of isoprenylation by lovastatin was associated with induction of apoptosis which could be reversed by administration of GGPP. Induction of apoptosis has been described in several different mice models with various statins, suggesting a class effect24. In addition, statins may reduce formation of aberrant crypt foci and polyps, and reduce tumor metastasis22. Non HMG-CoA reductase mediated effects of statins may be through their inhibition of cell adhesion and angiogenesis, an antioxidant effect, and through inhibition of inflammation22, 23. While we did not see a difference in the median C-reactive protein levels between statin users and non-users, statin users were less likely to require immunomodulator or biologic therapy for their IBD supporting a potential anti-inflammatory role for statins.
There are several implications to our findings. The majority of the studies examining chemopreventives in IBD have focused on IBD-related medications, primarily aminosalicylate therapy. Initial studies by Moody et al.18 and Eaden et al.19 suggested a reduction in risk of colorectal cancer among regular users of sulfasalazine and other aminosalicylates. Similar findings were reported from larger population-based analysis from the United Kingdom (UK) General Practice database41. In contrast, other studies from the United States, UK, and Canada failed to show an inverse association between aminosalicylate use and colon cancer, and indeed even a weak effect suggesting increased risk among users for 5 years or longer20, 21, 42–44. Under the same hypothesis that more effective treatment of IBD may reduce risk of colorectal cancer, other studies suggested a weak inverse association between azathioprine43 or anti-TNF biologic therapy45 and colon cancer though not all have yielded statistically significant effects5. Among agents unrelated to treatment of IBD, folic acid supplementation was not associated with a reduced risk of CRC46 while ursodeoxycholic acid had variable benefit with a trend towards increased risk at high doses47, 48. Our findings add to the literature in this field suggesting the need for further studies examining a potential inverse association between statin use and colorectal neoplasia, particularly supported by strong experimental evidence in support of this hypothesis. Prospective controlled trials of statins for prevention of colorectal cancer are likely to be prohibitively large and impractical. Consequently, consistent findings from other epidemiologic cohorts may serve as sufficient evidence base to consider use of statin therapy for chemoprevention in patients with IBD. Additionally, there is a need to study the effect of statins on IBD patients at high risk such as prior dysplasia or those with PSC.
We readily acknowledge the limitations of our study. The population for the study consisted primarily of patients receiving care at two tertiary referral hospitals, and consequently may have greater severity of disease than a population-based cohort. Additionally, some but not all prior meta-analyses have suggested that a stronger chemopreventive effect appears apparent in referral center studies without a similar effect in population-based cohorts49–51. A reason that has been proposed for such a difference is bias introduced by treatment practices of gastroenterologists recruiting into referral center studies, particularly those utilizing a case-control analysis. However, as our population was under the care of a wide spectrum of gastroenterologist, this is less likely to be an explanation for these findings. As in any observational study, our findings do not confirm causality in the effect of statins and our findings may be subject to measured and unmeasured confounders. We did not have information on extent or duration of disease as these are not reliably obtained from the administrative data. However, we adjusted for a number of relevant confounders including burden of inflammation and colonoscopic screening, supporting the robustness of our results. Additionally, the confirmation of previously identified risk factors including smoking, PSC, elevated markers of inflammation, and male gender support the validity of our findings. We were not able to examine the individual type of statin or examine effect of duration of therapy or past use. For patients receiving their primary care outside of our health system, there is potential for misclassification as non-users, though one would expect such misclassification to bias towards the null. There is also the potential for missing cancer outcomes in patients who receive care outside our health system.
In conclusion, using a large, well characterized cohort of patients with IBD, we demonstrate an inverse association between statin use and risk of colorectal cancer. There is need for mechanistic studies on the role of statins in colitis-associated cancer to supplement the existing data on sporadic colon cancer. Further confirmation from other cohorts may provide support for the use of statins as a chemopreventive in patients with IBD.
Table 2.
Results of multivariable logistic regression analysis of predictors of risk of colorectal cancer in inflammatory bowel diseases
Characteristics | Odds ratio | 95% confidence interval | p-value |
---|---|---|---|
Model 1¶ | |||
Statin use | 0.42 | 0.28 – 0.62 | < 0.001 |
Colonoscopy within 3 years | 0.52 | 0.37 – 0.73 | < 0.001 |
Female gender | 0.62 | 0.48 – 0.78 | < 0.001 |
Non-white race | 0.69 | 0.47 – 0.99 | 0.048 |
Duration of follow-up (for 1 year) | 0.83 | 0.80 – 0.86 | < 0.001 |
Ulcerative colitis | 0.96 | 0.76 – 1.21 | 0.72 |
Anti-TNF biologic use | 1.01 | 0.62 – 1.66 | 0.96 |
Immunomodulator use | 1.15 | 0.83 – 1.59 | 0.41 |
Age (for 1 year) | 1.04 | 1.03 – 1.05 | < 0.001 |
Elevated inflammatory markers | 1.82 | 1.31 – 2.53 | < 0.001 |
Ever smoker | 1.85 | 1.42 – 2.41 | < 0.001 |
Primary sclerosing cholangitis | 3.37 | 1.93 – 5.88 | < 0.001 |
Sensitivity Analysis | |||
Statin use | |||
Model 2† | 0.30 | 0.19 – 0.45 | < 0.001 |
Model 3‡ | 0.36 | 0.24 – 0.55 | < 0.001 |
Model 4‖ | 0.36 | 0.24 – 0.54 | < 0.001 |
Model 5* | 0.48 | 0.32 – 0.73 | < 0.001 |
Model 6†† | 0.31 | 0.13 – 0.35 | < 0.001 |
Model 7++ | 0.36 | 0.24 – 0.54 | < 0.001 |
Mutually adjusted for all the covariates listed
Adjusted for covariates listed in model 1 and propensity score
Adjusted for model 1 and density of facts (healthcare utilization)
Adjusted for covariates listed in model 1 and latest date of follow-up in our system
Adjusted for covariates listed in model 1 and requiring at least 2 distinct prescriptions for statins
Adjusted for covariates in model 1 and requiring at least a 2 year interval between statin use and colorectal cancer diagnosis or end-of follow-up
Adjusted for calendar time (year of latest follow-up)
Acknowledgments
Sources of Funding: The study was supported by NIH U54-LM008748. A.N.A is supported by funding from the American Gastroenterological Association and from the US National Institutes of Health (K23 DK097142). K.P.L. is supported by NIH K08 AR060257 and the Harold and Duval Bowen Fund. E.W.K is supported by grants from the NIH (K24 AR052403, P60 AR047782, R01 AR049880).
Footnotes
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Conflicts of interest: None
Specific author contributions:
An author may list more than one contribution, and more than one author may have contributed to the same element of the work
Study concept and design – Ananthakrishnan,
Data Collection – Ananthakrishnan, Gainer, Cagan, Cai, Churchill, Kohane, Shaw, Liao, Murphy
Analysis – Ananthakrishnan
Preliminary draft of the manuscript – Ananthakrishnan
Approval of final version of the manuscript – Ananthakrishnan, Gainer, Cagan, Cai, Churchill, Kohane, Shaw, Liao, Murphy
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