Literature DB >> 23405123

Impact of diabetes on oncologic outcome of colorectal cancer patients: colon vs. rectal cancer.

Justin Y Jeon1, Duck Hyoun Jeong, Min Geun Park, Ji-Won Lee, Sang Hui Chu, Ji-Hye Park, Mi Kyung Lee, Kaori Sato, Jennifer A Ligibel, Jeffrey A Meyerhardt, Nam Kyu Kim.   

Abstract

BACKGROUND: To evaluate the impact of diabetes on outcomes in colorectal cancer patients and to examine whether this association varies by the location of tumor (colon vs. rectum). PATIENTS AND METHODS: This study includes 4,131 stage I-III colorectal cancer patients, treated between 1995 and 2007 (12.5% diabetic, 53% colon, 47% rectal) in South Korea. Cox proportional hazards modeling was used to determine the prognostic influence of DM on survival endpoints.
RESULTS: Colorectal cancer patients with DM had significantly worse disease-free survival (DFS) [hazard ratio (HR) 1.17, 95% confidence interval (CI): 1.00-1.37] compared with patients without DM. When considering colon and rectal cancer independently, DM was significantly associated with worse overall survival (OS) (HR: 1.46, 95% CI: 1.11-1.92), DFS (HR: 1.45, 95% CI: 1.15-1.84) and recurrence-free survival (RFS) (HR: 1.32, 95% CI: 0.98-1.76) in colon cancer patients. No association for OS, DFS or RFS was observed in rectal cancer patients. There was significant interaction of location of tumor (colon vs. rectal cancer) with DM on OS (P = 0.009) and DFS (P = 0.007).
CONCLUSIONS: This study suggests that DM negatively impacts survival outcomes of patients with colon cancer but not rectal cancer.

Entities:  

Mesh:

Year:  2013        PMID: 23405123      PMCID: PMC3566217          DOI: 10.1371/journal.pone.0055196

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Colorectal cancer is the fourth most common cancer in the United States [1], fourth in men and third in women worldwide [2]. Although the incidence rate of colorectal cancer has increased rapidly worldwide during the last two decades, the incidence rate varies 10-fold among regions of the world, with the highest rates being estimated in developed countries and lowest rates in developing and underdeveloped countries [3]. Interestingly, many regions including Asia, which used to have low incidence of colorectal cancer now have significantly increased incidence of colorectal cancer. In South Korea, for example, the incidence of colorectal cancer increased significantly from 21.2 per 100,000 in 1999 to 42.1 per 100,000 in 2007 [4]. The change in lifestyle and especially increase in obesity contribute to such rapid increase in the incidence of colorectal cancer [5]. It has been well established that obesity influences the incidence of colorectal cancer [6], [7]. Obesity and associated insulin resistance are two common contributors to the development of both type 2 DM and cancer and it is not surprising to observe increased risk of colorectal cancer in type 2 diabetic patients [8]–[10]. The pathological explanation for this connection has led to a so-called hyperinsulinemia hypothesis [11]; increased insulin level could promote colorectal tumor growth and act as a cell mitogen [12]. In support of this hypothesis, positive association between serum C-peptide concentration and an increased colorectal cancer risk were found in several studies [13]–[15]. Although studies have reported a clear association of DM and hyperinsulinemia with the risk of colorectal cancer [16], association between DM and the risk of mortality in colorectal cancer patients is somewhat unclear. Historically, colon and rectal cancers have been considered together; however, the etiology and risk factors may differ among proximal colon, distal colon and rectal cancer. Indeed, several studies [17]–[20] have reported that DM was associated with the risk of proximal colon but not with distal and rectal cancers. Until now, most studies which evaluated the association between DM and the risk of mortality either included only colon cancer patients [21]–[24] or analyzed data from colon and rectal cancer patients together [25]–[27]. Very rarely, studies report the association between DM and the risk of mortality in rectal cancer patients separate from colon cancer. This could be due to relatively lower incidence of rectal cancer than colon cancer in Western countries [28], where most studies which investigated the association between DM and the risk of mortality in colorectal cancer patients were conducted. Furthermore, to our knowledge, the risk of mortality according to the site of colon cancer (proximal vs. distal colon) with and without DM has not been studied. Only one other study reported the association between DM and oncologic outcomes in an Asian population [23], important because the impact of DM on colorectal cancer outcomes could differ by race. With growing interest in and evidence of the relationship between DM and colorectal cancer outcomes, it is important to study the effects of DM on the risk of mortality according to the specific site of cancers in the colon and rectum in Asian population. Therefore, the purpose of this study is to investigate the impact of DM on oncologic outcomes in stage I-III colorectal cancer patients and to examine whether this association varies by the site of colorectal cancer (colon vs. rectum).

Patients and Methods

Ethics Statement

All study procedures were reviewed and approved by the Institutional Ethics Review Board at the Shinchon Severance Hospital and conducted according to the principles expressed in the Declaration of Helsinki. Informed consent was exempted by the board due to the retrospective nature of this research.

Study Cohort

The prospective data base used in the current study is from a single hospital (Severance Hospital, Seoul, South Korea), which included data from patients who underwent colon or rectal cancer surgery for Stage I–III disease between January 4th 1995 and December 31st 2007. The data base included anthropometric measurements, date and methods of surgery, size of tumor, lymph node status, family history of colorectal cancer, site of primary tumor, carcinoembryonic antigen (CEA) levels, adjuvant or neoadjuvant chemotherapy regimen, radiation therapy dose and site (if applicable), date of recurrence and date of death. Using the prospectively collected database, 4162 potential patients who underwent resection for histologically proven adenocarcinoma of the colon and rectal cancer were considered for this study. We excluded patients aged over 90 year old (N = 5) and aged less than 18 year old (N = 1). In addition, subjects whose mortality information was missing (N = 25) were excluded from the analyses. Thus, a total of 4131 subjects were included in our study analysis. The participants were followed until October 2011.

Study Design

Patients either had DM listed in their medical history or had a DM-controlling medication listed among their medication at the time of colorectal cancer surgery were classified as diabetic. With this method, we could not distinguish whether patients had type 1 or type 2 DM and the study thus includes both type 1 and type 2 DM. However, the incidence of type 1 DM is 1.36 (95% CI 1.05–1.66) cases per year per 100,000 individuals, which is approximately 10% of that in the United States [29]. Therefore, most diabetic patients in the data base are most likely type 2 diabetics. The primary end point of this analysis was overall survival and the secondary outcomes were disease-free survival, recurrence-free survival and colorectal cancer-specific survival. Overall survival was defined as the time from the date of surgery to death from any cause. Disease-free survival was defined as time from the date of surgery to tumor recurrence or occurrence of a new primary colorectal tumor or death from any cause. In addition, we defined recurrence-free survival as the time from the surgery to tumor recurrence or occurrence of a new primary colon tumor. For recurrence-free survival, patients who died without known tumor recurrence were censored. Colorectal specific-survival was defined as the time from the date of surgery to death from colorectal cancer-specific cause of death. In colorectal cancer-specific survival analyses, death as a result of other causes were censored. Patients were followed every three months for the first two years after surgery, every 6 months in years 2–5, then annually. Study outcomes were ascertained until October 31st 2011 through linkage to the hospital data base and the National Death Registry. Patients who remained alive at the end of the follow-up period were censored.

Statistical Analysis

The Kaplan-Meier method and log-rank test were used for overall survival, disease-free survival and colorectal cancer-specific mortality. Survival analysis assessed deaths as a result of all-causes, colorectal cancer-specific mortality as well as disease- and recurrence-free survival. Age-adjusted and multivariable-adjusted hazard ratio (HR) and 95% CIs were calculated using Cox proportional hazards models to determine the prognostic influence of DM on survival endpoints. Participants without documented and/or treated DM were used a reference group for all analyses. Covariates include age (continuous) at diagnosis, gender, body mass index (BMI) (continuous), family history of colorectal cancer in first degree relatives (Yes, No), TNM stage (I, II and III), adjuvant therapy (No adjuvant therapy, Chemotherapy only, Radiation therapy only, Chemotherapy and radiation therapy together), and the year of surgery (continuous) were extracted from medical record. Interaction was assessed using the Wald test on the cross-product of DM and other variables of interest (Age, gender, BMI, stage of disease- and site-specific effects) in a multivariate model. All P values were two sided. P<0.05 was considered statistically significant. All statistical analyses were performed using SAS 9.1 statistical software package.

Results

Baseline Characteristics

The mean age of the 4131 participants was 59±11.4 year old with mean BMI of 23±3.1 kg/m2. Out of 4131 participants, 517 participants (12.5%) had preexisting DM prior to cancer diagnosis. Compared with subjects without DM, subjects with DM were significantly older (P<0.001) and had higher BMI (P<0.001). During the follow up period, there were a total of 1037 (467 colon cancer, 570 rectal cancer) deaths, 951 recurrences (411 colon cancer, 540 rectal cancer) and 679 colorectal cancer-specific deaths (285 colon cancer, 394 rectal cancer). Baseline characteristics are summarized in table 1.
Table 1

Subject characteristics.

Colon Cancer (N = 2183)Rectal Cancer (N = 1948)
No DMDMNo DMDM
(N = 1895)(N = 288)(N = 1719)(N = 229)
Sex (Male/Female)1091/804181/1071059/660148/81
Age (year±SD)59.1±11.664.0±8.8*58.2±11.662.4±8.8*
≤50378(19.9)18 (6.3)391 (22.7)13 (5.7)
51 to ≤60526 (27.8)57 (19.8)482 (28.0)72 (31.4)
61 to ≤70643 (33.9)139 (48.3)562 (32.7)93 (40.6)
>70348 (18.4)74(25.7)284 (16.5)51 (22.3)
BMI (kg/m2 mean±SD)23.0±3.123.6±3.323.0±3.123.7±3.2
<18.5109 (5.8)9 (3.1)107 (6.2)8 (3.5)
18.5 to <23766 (40.4)101 (35.1)704 (41.0)78 (34.1)
23 to <25412 (21.7)67 (23.3)377 (21.9)59 (25.8)
≥25418 (22.1)85 (29.5)381 (22.2)68 (29.7)
Missing190 (10.0)26 (9.0)150 (8.7)16 (7)
Family history (Yes %)84 (4.4)10 (3.5)54 (3.1)2 (0.9)
TNM stage
I302 (15.9)47 (16.3)468 (27.2)59(25.8)
II882 (46.5)133 (46.2)531 (30.9)71 (31.0)
III711 (37.5)108 (37.5)720 (41.9)99 (43.2)
No positive lymph node
01182 (62.4)180(62.5)995 (57.9)131 (57.2)
1 to 4554 (29.2)83 (28.9)495 (28.8)77 (33.6)
≥5156 (8.2)25 (8.7)225(13.1)21 (9.2)
Missing3 (0.2)04 (0.2)0
Preoperative CEA
<5 ng/dl1406(74.2)186 (64.6)1288(74.9)148(64.6)
≥5 ng/dl479 (25.3)101 (35.1)424(24.7)81(35.4)
Missing10 (0.5)1 (.3)7(0.4)0
Adjuvant therapy
No445 (23.5)69 (24.0)450 (26.2)61 (26.6)
Chemotherapy alone1237 (65.3)192 (66.7)444 (25.8)56 (24.5)
Radiation alone4 (.2)0 (0)35 (2.0)9 (3.9)
Chemo and radiation90 (4.7)11 (3.8)719 (41.8)92 (40.2)
Missing119 (6.3)16(5.6)71(4.1)11 (4.8)

SD: Standard deviation, Number (%), DM: Diabetes Mellitus, * p<0.05 Significantly different compared with subjects who did not have DM.

SD: Standard deviation, Number (%), DM: Diabetes Mellitus, * p<0.05 Significantly different compared with subjects who did not have DM.

Effects of DM on the Risk of Mortality Colon and Rectal Cancer Patients

In Cox proportional hazard models, we examine the influence of DM on the risk of overall survival, disease-free survival, recurrence-free survival and colorectal cancer-specific survival controlling for factors associated with cancer survival (Figure 1, Table 2). There was a significant association between presence of DM and multivariate adjusted disease-free survival (HR: 1.17, 95% CI: 1.00–1.37). In contrast, there was no significant association between presence of DM and multivariate adjusted overall survival, recurrence-free survival and colorectal cancer-specific survival. To better understand the association of DM and the risk of mortality according to the site of primary tumor, we analyzed colon and rectal cancer patients separately (Figure 1). After adjustment for potential confounders, colon cancer patients with preexisting DM experienced significantly worse overall survival (HR: 1.46, 95%CI: 1.11–1.92), disease-free survival (HR: 1.45, 95% CI: 1.15–1.84) and nonsignificant trend towards worse recurrence-free survival (HR: 1.32, 95%, CI: 0.98–1.76). Preexisting DM was not associated with colon cancer-specific survival (HR: 1.25, 95% CI: 0.87–1.80). In contrast, there was no association between DM and outcome of rectal cancer patients in any of the study end points. There was significant interaction between location of primary tumor (colon vs. rectum) with DM on overall survival (P = 0.0094) and disease-free survival (P = 0.0068). No difference in the use of chemotherapy (P = 0.30) or radiation therapy (P = 0.55) between rectal cancer patients with and without DM was observed.
Figure 1

Kaplan-Meier survival curve for disease-free survival in colorectal (A), colon (B) and rectal (C) cancer patients staged I to III by diabetes mellitus status.

Table 2

Impact of diabetes mellitus on overall survival and disease-free survival of stage 1–3 colorectal cancer patients.

Colorectal CancerRectal CancerColon Cancer
No. of eventsNo. at riskAge, Gender-Adjusted HR (95% CI)Multivariate HR (95% CI)No. of eventsNo. at riskAge, Gender Adjusted HR (95% CI)Multivariate HR (95% CI)No. of eventsNo. at riskAge, Gender Adjusted HR (95% CI)Multivariate HR (95% CI)
Overall survival
No DM89636141.0 (Ref)1.0 (Ref)50817191.0 (Ref)1.0 (Ref)38818951.0 (Ref)1.0 (Ref)
DM1415171.09 (0.91–1.30)1.17 (0.96–1.42)622290.89 (0.68–1.16)0.96 (0.73–1.27)792881.35 (1.05–1.72)1.46 (1.11–1.92)
Disease-freeSurvival
No DM112736141.0 (Ref)1.0 (Ref)63517191.0 (Ref)1.0 (Ref)49218951.0 (Ref)1.0 (Ref)
DM1825171.13 (0.97–1.33)1.17 (1.00–1.37)812290.94 (0.74–1.18)0.98 (0.76–1.25)1012881.38 (1.10–1.71)1.45 (1.15–1.84)
Recurrence FreeSurvival
No DM82736141.0 (Ref)1.0 (Ref)48217191.0 (Ref)1.0 (Ref)34518951.0 (Ref)1.0 (Ref)
DM1245171.12 (0.93–1.35)1.11 (0.90–1.36)582290.95 (0.72–1.25)0.96 (0.72–1.28)662881.35 (1.04–1.77)1.32(0.98–1.76)
Colorectal cancer-specific mortality
No DM59636141.0 (Ref)1.0 (Ref)35517191.0 (Ref)1.0 (Ref)24118951.0 (Ref)1.0 (Ref)
DM835171.04 (0.82–1.31)1.08 (0.86–1.37)392290.86 (0.62–1.20)0.92 (0.65–1.31)442881.27 (0.92–1.76)1.25 (0.87–1.80)

HR: Hazard Ratio.

Multivariable adjustment for BMI, age, sex, family history of colorectal cancer (yes or no), TNM stage (1, 2, 3), Adjuvant therapy (No, Chemotherapy only, Radiation therapy only, Chemotherapy and radiation therapy together) and the year of surgery.

HR: Hazard Ratio. Multivariable adjustment for BMI, age, sex, family history of colorectal cancer (yes or no), TNM stage (1, 2, 3), Adjuvant therapy (No, Chemotherapy only, Radiation therapy only, Chemotherapy and radiation therapy together) and the year of surgery. To further understand this effect by the location of colon tumor site, we further tested the association between DM and outcomes in patients with proximal and distal colon cancer. DM was associated with overall survival in patients with proximal colon cancer (HR: 2.08, 95% CI: 1.38–3.13) but not in patients with distal colon cancer (HR: 1.34, 95% CI: 0.92–1.96) (Table 3). The P for interaction was not statistically significant (P = 0.108).
Table 3

Impact of DM on outcome of overall survival of stage 1 to 3 colon cancer patients according to their BMI, TNM stage, age and site of cancer (proximal vs distal).

Non DMDMPtrend Pinteraction
Risk of overall survival
Male
 No at risk/events1091/234181/49
 MV adjusted (95% CI)1.00 (Ref)1.45 (1.02–2.06)0.038
Female0.828
 No at risk/events804/154107/30
 MV adjusted (95% CI)1.00 (Ref)1.48 (0.96–2.30)0.075
BMI specific effects of DM ?
BMI <23 kg/m2
 No at risk/events877/186109/29
 MV adjusted (95% CI)1.00 (Ref)1.48 (1.06–2.05)0.02
BMI >23 kg/m2 0.672
 No at risk/events828/141153/36
 MV adjusted (95% CI)1.00 (Ref)1.52 (1.04–2.21)0.031
Stage specific effects of DM
TNM Stage I/II
 No at risk/events1184/174180/43
 MV adjusted (95% CI)1.00 (Ref)1.38 (1.05–1.81)0.019
TNM Stage III0.369
 No at risk/events711/214108/36
 MV adjusted (95% CI)1.00 (Ref)1.25 (0.84–1.85)0.269
Age specific effects of DM
Age <60 years
 No at risk/events977/14589/20
 MV adjusted (95% CI)1.00 (Ref)2.04 (1.17–3.54)0.012
Age≥60 years0.169
 No at risk/events918/243199/59
 MV adjusted (95% CI)1.00 (Ref)1.43 (1.04–1.96)0.026
Site Specific effects of DM *
Proximal Colon
 No at risk/events798/170128/39
 MV adjusted (95% CI)1.00 (Ref)2.08 (1.38–3.13)>0.001
Distal Colon0.108
 No at risk/events1073/215153/37
 MV adjusted (95% CI)1.00 (Ref)1.34 (0.92–1.96)0.12

DM: Diabetes mellitus, CI: Confidence Interval, BMI: Body mass index, MV: Multivariate, MV adjusted: Gender, BMI, TNM stage, family history of colorectal cancer (yes or no), Adjuvant therapy (No, Chemotherapy only, Radiation therapy only, Chemotherapy and radiation therapy together), the year of surgery,

216 case were not included due to missing BMI information,

31 cases were not included due to missing information on the site specific location (proximal vs distal).

DM: Diabetes mellitus, CI: Confidence Interval, BMI: Body mass index, MV: Multivariate, MV adjusted: Gender, BMI, TNM stage, family history of colorectal cancer (yes or no), Adjuvant therapy (No, Chemotherapy only, Radiation therapy only, Chemotherapy and radiation therapy together), the year of surgery, 216 case were not included due to missing BMI information, 31 cases were not included due to missing information on the site specific location (proximal vs distal).

Subgroup Analysis by Gender, Age, Stage and BMI in Colon Cancer

In light of the significant association between DM and survival endpoints in colon cancer, we examined the association with DM across strata of potential predictors of survival outcomes including gender, age, BMI and TNM stage (Table 3). The association between pre-existing DM and survival endpoints in colon cancer patients was not modified by gender (P = 0.828), BMI (P = 0.672), TNM stage (stage I/II versus III, P = 0.369) and age (P = 0.169).

Discussion

Among participants in this large cohort of Korean adults with stage I to III colorectal cancer, patients with DM experience significantly worse disease-free survival compared to non-diabetics, and nonsignificant trend towards worse recurrence-free survival and overall survival. However, when site of disease was considered, DM was associated with a significantly worse overall survival, disease-free survival and near significant recurrence-free survival (P = 0.065) in colon cancer patients, with no association in rectal cancer patients, suggesting that DM negatively affects the survival outcome of colon cancer patients, however, DM does not affect survival outcome of rectal cancer. The question of the association between DM and survival outcomes in colorectal cancer patients has been previously studied, with several studies reporting a significant detrimental impact [22], [26], [30] while others have not demonstrated such associations [21], [25], [27]. Considering distinct differences in anatomy, embryology, physiology and genetics of colon and rectal cancer, studying the impact of DM on survival outcome of colon and rectal cancer patients together may not be appropriate. Most studies to date have not analyzed the relationship between DM and cancer outcomes separately in colon and rectal cancer populations with adequate subgroup sample sizes. Several prospective studies have demonstrated that DM is associated more with the risk of either colon or proximal colon cancer than rectal cancer [17], [31]–[33]. There was an only one prior study which studied the association of DM and survival outcome separately by colon and rectal cancer [34]. Van de Poll-Franse et al. [34] found significant association between preexisting DM and the risk of mortality in both colon and rectal cancer patients. It is unclear why there is discrepancy in results between the study of Van de Poll-Franse [34] and the current study. One possible explanation could include the racial differences between the two studies. Additionally, Van de Poll-Franse [34] reported that less aggressive treatment regimen was adopted for cancer patients with DM compared with patients who did not have DM. Although rectal cancer patients with DM were older than patients without DM in both studies, rectal cancer patients with DM from the study of Van de Poll-Franse et al. [34] were older than patients from the current study (71.6 vs. 62 years) and this may explain the possibility of less aggressive cancer treatment implemented in their study. Another interesting study reported that neoadjuvant chemotherapy in rectal cancer was less effective in diabetic patients than in non-diabetic patients possibly due to difference in pathologic response [35]. However, we did not observe any difference in oncologic outcome in rectal cancer patients with and without DM. In the current study, there was no difference in chemo and radiation therapy regimen between rectal cancer patients with and without DM. In the current study, we have found stronger association between DM and survival outcome in patients with proximal colon cancer than distal colon cancer and no association between DM and survival outcome in patients with rectal cancer. It is unclear why DM was associated more with the outcomes of proximal colon cancer than with distal colon and rectal cancer. The potential mechanisms for different effects of DM on proximal, distal colon and rectal cancer could include different characteristics of tumor microsatellite instability status as well as chromosomal instability association to proximal and distal colon [20]. Considering more proximal site colon tumors (30–40%) than distal colon or rectal tumors (3–12%) have higher levels of methylated CpG islands in several tumor suppressor genes or inactivated ncRNA, worse prognosis of proximal cancer patients with DM in our study could also be associated with epigenetics which may interact between DM and tumor according to its sites [36], [37]. Furthermore, different characteristics of risk factors such as adiposity, diet and physical activity on proximal, distal colon and rectal tumor characteristics [38]–[40] may explain the different impact of DM on site-specific oncologic outcomes. The mechanism why DM was associated with colon cancer and not rectal cancer deserve more research studies since two recently reported meta-analysis studies showed that DM was associated with increased incident of both colon and rectal cancer [41]–[42]. However, this is the beyond the scope of the current study and deserve further studies. A study of Polednak [43] raised an important question: DM could increase the all-cause mortality of colon and colorectal cancer patients, but DM may not increase the risk of colorectal cancer-specific death. In his study, he reported a 38% increased risk of all-cause mortality among colorectal cancer with DM. However, when he performed sub-analysis according to the cause of mortality, no association between DM and the risk of colorectal-specific mortality. In our study, we also found that DM was significantly associated with worse overall and disease-free survival but not with colon cancer-specific survival in colon cancer patients. Therefore, one may ask question whether DM would impact actual tumor recurrence or DM would increase risk of mortality from other causes such as cardiovascular disease. The risk of cancer recurrence was 35 percent higher in colon cancer patients with DM (HR: 1.35∶95% CI: 1.04–1.77) when age and gender were controlled. When other covariates were also controlled, the risk of recurrence was 32 percent higher in colon cancer with DM although it was not statistically significant (HR: 1.32, 95% CI: 0.98–1.76). Considering the study from Dehal et al. [44] which recently reported significantly increased cardiovascular disease-specific death in colorectal cancer patients who had DM, we may speculate that the impact of DM on mortality of colon cancer patients may be due to both recurrence of disease and death from other causes. Although the presence of DM was not associated with oncologic outcome of rectal cancer, it was evident that the DM was associated with oncologic outcome of colon cancer [45]. Several mechanisms have been proposed to explain the link between type 2 DM and colorectal cancer including the insulin-like growth factor (IGF-1)-hyperinsulinemia theory which implies that elevated insulin and free IGF-1 levels increase the proliferation and decrease the apoptosis of colon cancer cells [46]–[47], which involves with mitogen activated protein kinases, extracellular signal regulated kinase, phosphatidylinositol-3-kinase, protein kinase B and mammalian target of rapamycin (mTOR). Another possible mechanism which links DM and colorectal cancer oncologic outcome may include altered inflammatory and anti-inflammatory cytokines in type 2 diabetic patients, which may influence the oncologic outcome of colon cancer [48]–[49]. There are limitations and strengths of the study. First, DM status was based on the past medical history and thus types of DM were not differentiated between type 1 and type 2. However, given the average age of the study participants with DM was 63 years old and the lower incidence of type 1 DM in Korea, most diabetic patients in our study would be type 2 diabetics. Furthermore, our cohort cannot address the potential of undiagnosed hyperglycemic states or DM in the control population; however, such contamination would only bias our findings towards the null hypothesis. Recent studies showed that diabetic medications and use of insulin therapy are associated with the risk and outcome or colorectal cancer patients [50]–[52]. However, the current study does not have patients’ medication as well as glycemic control data and this is the another limitation of the current study. Furthermore, the data on the use of aspirin, non-aspirin nonsteroidal anti-inflammatory drugs and cyclooxygenase-2 inhibitor in our patients was not available and therefore the use of these medications was not controlled. In conclusion, we found significantly reduced overall and disease-free survival only in colon cancer but not in rectal patients with DM. In our knowledge, this was the first study to report the association between DM and the risk of mortality was dependent on the site of tumor (Proximal colon, distal colon and rectal cancer) in colorectal cancer.
  49 in total

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Authors:  Lei Sun; Shiying Yu
Journal:  Dig Dis Sci       Date:  2012-06       Impact factor: 3.199

2.  [Serum concentration of insulin, C-peptide and insulin-like growth factor I in patients with colon adenomas and colorectal cancer].

Authors:  Aleksandra Kaczka; Anna Kumor; Mirosława Pietruczuk; Ewa Małecka-Panas
Journal:  Pol Merkur Lekarski       Date:  2007-05

3.  Effect of diabetes mellitus on the epidemiology and outcomes of colon cancer.

Authors:  Nicole Annette Shonka; James R Anderson; Amit W Panwalkar; Elizabeth C Reed; Preston D Steen; Apar Kishor Ganti
Journal:  Med Oncol       Date:  2006       Impact factor: 3.064

4.  Diabetes mellitus and subsite-specific colorectal cancer risks in the Iowa Women's Health Study.

Authors:  Paul J Limburg; Kristin E Anderson; Trista W Johnson; David R Jacobs; Deann Lazovich; Ching-Ping Hong; Kristin K Nicodemus; Aaron R Folsom
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-01       Impact factor: 4.254

Review 5.  The role of obesity and related metabolic disturbances in cancers of the colon, prostate, and pancreas.

Authors:  Edward Giovannucci; Dominique Michaud
Journal:  Gastroenterology       Date:  2007-05       Impact factor: 22.682

Review 6.  Insulin, insulin-like growth factor-I (IGF-I), IGF binding proteins, their biologic interactions, and colorectal cancer.

Authors:  Manjinder S Sandhu; David B Dunger; Edward L Giovannucci
Journal:  J Natl Cancer Inst       Date:  2002-07-03       Impact factor: 13.506

7.  Colorectal cancer or colon and rectal cancer? Clinicopathological comparison between colonic and rectal carcinomas.

Authors:  M Li; J Y Li; A L Zhao; J Gu
Journal:  Oncology       Date:  2008-03-11       Impact factor: 2.935

Review 8.  Lifestyle factors and colorectal cancer risk (1): systematic review and meta-analysis of associations with body mass index.

Authors:  D J Harriss; G Atkinson; K George; N Tim Cable; T Reilly; N Haboubi; M Zwahlen; M Egger; A G Renehan
Journal:  Colorectal Dis       Date:  2009-01-17       Impact factor: 3.788

Review 9.  Are there two sides to colorectal cancer?

Authors:  Barry Iacopetta
Journal:  Int J Cancer       Date:  2002-10-10       Impact factor: 7.396

10.  Serum C-peptide, IGFBP-1 and IGFBP-2 and risk of colon and rectal cancers in the European Prospective Investigation into Cancer and Nutrition.

Authors:  Mazda Jenab; Elio Riboli; Rebecca J Cleveland; Teresa Norat; Sabina Rinaldi; Alexandra Nieters; Carine Biessy; Ann Tjønneland; Anja Olsen; Kim Overvad; Henning Grønbaek; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Jakob Linseisen; Heiner Boeing; Tobias Pischon; Dimitrios Trichopoulos; Eleni Oikonomou; Antonia Trichopoulou; Salvatore Panico; Paolo Vineis; Franco Berrino; Rosario Tumino; Giovanna Masala; Petra H Peters; Carla H van Gils; H Bas Bueno-de-Mesquita; Marga C Ocké; Eiliv Lund; Michelle A Mendez; María José Tormo; Aurelio Barricarte; Carmen Martínez-García; Miren Dorronsoro; José Ramón Quirós; Göran Hallmans; Richard Palmqvist; Göran Berglund; Jonas Manjer; Timothy Key; Naomi E Allen; Sheila Bingham; Kay-Tee Khaw; Anne Cust; Rudolf Kaaks
Journal:  Int J Cancer       Date:  2007-07-15       Impact factor: 7.396

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  18 in total

1.  Type 2 diabetes mellitus and colorectal neoplasia risk in Hispanics: a case-control study.

Authors:  Yaritza Díaz-Algorri; María Eugenia Lozada; Sofía M López; Carlos E Bertrán-Rodríguez; Cinthia M González-Hernández; Dilka González; Cynthia M Pérez-Cardona; Jessica Hernández; Carmen Pedrosa; Doris H Toro; María González-Pons; Marcia Cruz-Correa
Journal:  J Diabetes Complications       Date:  2015-02-03       Impact factor: 2.852

2.  Serum glucose and hemoglobin A1C levels at cancer diagnosis and disease outcome.

Authors:  Ben Boursi; Bruce J Giantonio; James D Lewis; Kevin Haynes; Ronac Mamtani; Yu-Xiao Yang
Journal:  Eur J Cancer       Date:  2016-03-25       Impact factor: 9.162

3.  Associations between physical activity and comorbidities in Korean cancer survivors.

Authors:  Dong-Woo Kang; Eun-Young Lee; Ki Yong An; Jihee Min; Justin Y Jeon; Kerry S Courneya
Journal:  J Cancer Surviv       Date:  2018-03-01       Impact factor: 4.442

Review 4.  Obesity and cancer pathogenesis.

Authors:  Nathan A Berger
Journal:  Ann N Y Acad Sci       Date:  2014-04       Impact factor: 5.691

5.  Impact of diabetes on overall and cancer-specific mortality in colorectal cancer patients.

Authors:  Francesca Bella; Pamela Minicozzi; Adriano Giacomin; Emanuele Crocetti; Massimo Federico; Maurizio Ponz de Leon; Mario Fusco; Rosario Tumino; Lucia Mangone; Orietta Giuliani; Mario Budroni; Milena Sant
Journal:  J Cancer Res Clin Oncol       Date:  2013-04-30       Impact factor: 4.553

6.  Risk of colon cancer recurrence in relation to diabetes.

Authors:  Jessica Chubak; Onchee Yu; Rebecca A Ziebell; Erin J Aiello Bowles; Andrew T Sterrett; Monica M Fujii; Jennifer M Boggs; Andrea N Burnett-Hartman; Denise M Boudreau; Lu Chen; James S Floyd; Debra P Ritzwoller; Rebecca A Hubbard
Journal:  Cancer Causes Control       Date:  2018-09-22       Impact factor: 2.506

7.  Nonalcoholic fatty liver disease: a negative risk factor for colorectal cancer prognosis.

Authors:  Jie You; Sha Huang; Gui-Qian Huang; Gui-Qi Zhu; Rui-Min Ma; Wen-Yue Liu; Ke-Qing Shi; Gui-Long Guo; Yong-Ping Chen; Martin Braddock; Ming-Hua Zheng
Journal:  Medicine (Baltimore)       Date:  2015-02       Impact factor: 1.889

8.  Diabetes and prognosis in older persons with colorectal cancer.

Authors:  J Luo; H-C Lin; K He; M Hendryx
Journal:  Br J Cancer       Date:  2014-02-25       Impact factor: 7.640

9.  Association between body mass index and prognosis of colorectal cancer: a meta-analysis of prospective cohort studies.

Authors:  Junga Lee; Jeffrey A Meyerhardt; Edward Giovannucci; Justin Y Jeon
Journal:  PLoS One       Date:  2015-03-26       Impact factor: 3.240

Review 10.  Metformin as an adjuvant treatment for cancer: a systematic review and meta-analysis.

Authors:  C Coyle; F H Cafferty; C Vale; R E Langley
Journal:  Ann Oncol       Date:  2016-09-28       Impact factor: 32.976

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