Diabetes and Risk of Cancer
Diabetes and cancer represent two complex, diverse, chronic, and potentially fatal diseases. Cancer is the second leading cause of death, while diabetes is the seventh leading cause of death with the latter still likely underreported. There is a growing body of evidence published in recent years that suggest substantial increase in cancer incidence in diabetic patients. The worldwide prevalence of diabetes was estimated to rise from 171 million in 2000 to 366 million in 2030. About 26.9% of all people over 65 have diabetes and 60% have cancer. Overall, 8–18% of cancer patients have diabetes. In the context of epidemiology, the burden of both diseases, small association between diabetes and cancer will be clinically relevant and should translate into significant consequences for future health care solutions. This paper summarizes most of the epidemiological association studies between diabetes and cancer including studies relating to the general all-site increase of malignancies in diabetes and elevated organ-specific cancer rate in diabetes as comorbidity. Additionally, we have discussed the possible pathophysiological mechanisms that likely may be involved in promoting carcinogenesis in diabetes and the potential of different antidiabetic therapies to influence cancer incidence.
1. Confounding Factors
Patients with diabetes are at a higher risk than the general population of developing cancer of the urinary tract, liver, biliary tract, pancreas, colon, endometrium, and kidney. Several confounding factors directly associated with clinical diversities of diabetes are varying levels of metabolic controls, duration of diabetes, profiles of antidiabetic therapy, and the presence of complications or comorbidities. Therefore it is problematic to precisely evaluate cancer risk in diabetes. Moreover, shared risk factors for both diseases such as age, sex, ethnicity, alcohol, tobacco, diet, physical activity obesity, and BMI seem to further complicate the relation . Although most of studies were adjusted for this and other confounders, particular contribution of obesity, diet, and physical activity to elevated cancer rate should be taken into account. These are factors that often coexist, influence, or even cause the diabetes and have also been shown to independently influence cancer risk. The majority of diabetic patients are obese or overweight . The increased cancer risk in obesity has been established in several studies for cancers of the colon, rectum, breast, endometrium, pancreas, kidney, liver, gall bladder, and adenocarcinoma of esophagus . Risk ratio (RR) for cancer was increasing in parallel to a growing BMI. Obese patients with a BMI > 30 kg/m2 have higher RRs for cancers than overweight (BMI > 25 and <30) patients . In addition to insulin resistance, obesity is known for excess estrogen production, which may elevate the risk of estrogen-dependent tumors. Notably weight gain has been shown to increase the risk of female’s reproductive organs neoplasms, namely, cancers of endometrium, breast, and cervix [5–7].
A higher mortality rate and worsening prognosis in obese individuals diagnosed with cancer was also postulated , including prostate cancer that seemed to have inverse correlation with diabetes . Nevertheless, as obesity is known to be accompanied by diabetes [10, 11], it is reasonable to suspect that diabetes related endocrine perturbations may be responsible for a significant proportion of obesity-cancer risk . Diets with high glycemic index and high glycemic load are well established risk factors for type II diabetes [13, 14], and they have been suggested to increase risk of breast , pancreatic , colorectal, and endometrial  cancer. Furthermore, diets rich in fruit, vegetables, fish, and whole grain have been reported as protective from diabetes  as well as from neoplasms [19, 20]. These dietary modifications have been estimated to reduce risk of fatal cancer by 35% .
2.1. Hyperglycemia and Cancer Risk
Several prospective studies reported an association of elevated blood glucose with increased overall cancer incidence. Impaired glucose tolerance, impaired fasting glucose, and diabetes are some factors that determine various profiles of dysglycemia. Some of them postulated linear trend of increased blood glucose levels and cancer risks, even in glucose levels still within normal, prediabetic range. Most of presented data were adjusted for sex, age, BMI, and smoking status. International study combined results from six European prospective cohorts, totaling 549,944 subjects (49% men), with mean age 45 years at baseline and a mean followup period of 11.3 years . The association between glucose level and cancer was approximately linear across full range of fasting glucose levels. An increase in 1 mmol/L of fasting plasma glucose-FPG (FPG) levels was associated with RR 1.05 (95% CI; 1.01–1.10) and 1.11 (1.05–1.16) for incidental cancer in men and women, respectively. Risk ratio (RR) was 1.37 (1.14–1.64, for trend = 0.002) for all-site cancer incidence in men (excluding prostate cancer) and 1.42 (1.18–1.74, P for trend < 0.001) in women .
Ten-year Korean prospective cohort study enrolling 1,298,385 subjects (64% men) showed a significant increase in all-cancer incidence for DM patients with (HRs not sure what HRs means) 1.24 (95% CI; 1.20–1.28) for men and 1.33 (1.25–1.41) for women . After categorizing baseline FPG levels, linear trends in cancer incidence and mortality with increasing fasting serum glucose levels were observed in both sexes. Although almost all cases of diabetes were expected to be type II, the Korean cohort study is noteworthy for low frequency of obesity in comparison to Western population (average BMI was 23.2 and only one-fourth of participants had BMI above 25). The actual relation between hyperglycemia and subsequent cancer risk may be difficult to assess, as there are appreciable intraindividual variations in postload and fasting glucose levels . Thus, random fluctuations of glucose levels over time tend to attenuate the real association between two diseases by regression dilution and in result underestimate the impact of hyperglycemia on tumor incidence . Indeed, one study showed that risk of a fatal cancer was 4-fold higher after correction for regression dilution .
2.2. Glycosylated Hemoglobin (HbA1c) as a Marker for Cancer Risk
reflects overall glucose levels for a period of 120 days, which is the average life span of erythrocytes. As these values are not subjected to daily variations, glycated hemoglobin appears as a more objective and reliable indicator of glycaemia, particularly with regard to long prospective studies analyzing cancer incidence, where chronic, average exposure seems most relevant . In 2010, levels above 6.5% were included as another criterion for the DM diagnosis . A study with 46,575 participants from New Zealand was designed to evaluate an influence of glycated hemoglobin levels on cancer risk among subjects initially free of diabetes . Mean age of subjects was 38 years, median level was 5.2%, and there was slight preponderance of female in study group. In the light of contemporary evidence, it remains undetermined why moderately elevated levels had stronger relation to cancer incidence than highly elevated levels. However, this study has also some relevant limitations since findings were not adjusted for obesity, and there was relative short followup period (median followup was 4.4 years) .
Most recent study conducted on 12,792 participants categorized in relation to levels, with median 15-year followup, published similar finding . Nondiabetic women with elevated values (≥5.7%) had an increased risk of cancer incidence (HR 1.24; 95% CI; 1.07–1.44) and so did diabetic women ( > 6.5%) with HR 1.30 (95% CI; 1.06–1.60). Among diabetic women, those with good glycemic control ( ≤ 7%) had a 52% lower risk of cancer death than those with poor glycemic control ( > 7%). Interestingly, positive association was found between < 5.0% and cancer incidence and mortality in women in Hong Kong study . The increase in percentage point of was associated with 26% increase in risk of cancer (HR 1.26; 95% CI; 1.03–1.55), and use of insulin was associated with markedly lower cancer risk with multivariable HR 0.17 (95% CI; 0.09–0.32) in insulin-users group as comparing to noninsulin group.
On the other hand, Swedish prospective cohort study evaluating cancer risk among 25,476 diabetic patients seemed to be the only large study on the field that did not confirmed previous results. HRs were all nonsignificant after comparing highest and lowest quartiles of baseline levels . However, several smaller studies, investigating the risk of hyperglycemia, in relation to site-specific malignancies, reported risk of colorectal [32–34] hepatocellular , pancreatic , cancers rising parallel to values, and even to fructosamine values . Distinction of studies examining risk of hyperglycemia or diabetes on cancer risk seems relevant as in studies examining the former, significant proportion of participants have already established dysglycemia (hyperglycemia) but with levels that are not eligible for diabetes diagnosis. These studies show that persons with prediabetic endocrinological dearrangements, whose prevalence in is increasing ominously, may also be affected by increased risk for cancer.
2.3. Diabetes and Risk Ratio to Cancer
In last decades diabetes have been consistently associated with increased risk for broad variety of malignancies. Studies reporting an increase of all cancer sites bring risk of overlooking modest association of site-specific cancers. Moreover, discrepancies on results across studies may be partially explained the various prevalence of specific cancers that represented in diverse study populations. On the other hand, increase in overall cancer incidence may not be accompanied by transparent increases in specific organ malignancies and still should be a reason for enhanced cancer surveillance among diabetic patients.
Meta-analysis that combined 12 cohort studies with a total number of 257,222 participants showed a significant elevation of pooled adjusted risk ratio (RR) for all-cancer incidence; RRs were 1.14 (95% CI; 1.06–1.23) and 1.18 (95% CI; 1.08–1.28) for men and women, respectively . Another meta-analysis conducted on studies originating from Japan (with total 250,479 subjects from four cohort and one case-control study) demonstrated slightly higher total cancer risk with adjusted RR 1.25 (95% CI; 1.06–1.46) for men and 1.23 (95% CI; 0.97–1.56) for women . This may be attributable to different proportion of specific cancer prevalence in Japan, with substantially higher rates of gastric, pancreatic, and hepatocellular cancers. On the other hand, subjects with diabetes receiving treatment for hypertension and/or dyslipidemia (assuming that this group reflect more intensive medical examination) showed higher HR 1.37 . However, large retrospective study on total 985,815 subjects demonstrated that the risk of cancer incidence in diabetes (RR 1.56; 95% CI; 1.43–1.71) is independent of hypertension, dyslipidemia, and gout . In addition another large (895,434 DM cases) retrospective cohort study , showed slight increase (HR = 1.19; 95% CI; 1.17–1.19) in risk of cancer for most of sites. The risk was also most influential in the younger age group making it reasonable to suspect that this may be attributable to metabolic dysfunction preceding DM diagnosis. Concurrently to previous findings, results from prospective cohort study on German population (26, total of 742 subjects) showed an increased risk of cancer with SIR 1.14 (95% CI; 1.10–1.21), but the duration of diabetes was inversely associated with the cancer risk which was markedly higher within the first year after diabetes diagnosis .
Observations from two retrospective cohort studies from Belgium (4012 diabetic subjects) and China (7,950 diabetic subjects) were consistent with preceding reports, although the overall risks for cancer were slightly higher with HR 1.84 (95% CI; 1.51–2.24)  and SIR 1.331 (95% CI; 1.143–1.518) in men and 1.737 (95% CI; 1.478–1.997) in women . According to inclusion criteria of most of studies, risk of cancer was evaluated among DMII patients, and cases of nonmelanoma skin cancer were excluded from the analysis. In summary, diabetes and hyperglycemia were shown to be associated with elevated general cancer risk. Exact values of estimated risk may vary because of study design, impact of confounding factors, and ethnic differences including genetic susceptibility, life-style behaviors, specific environmental exposures, and varying biological effect of diabetes across populations. All these factors are summarized in several cohort, prospective, and meta-analysis studies from different countries (see Table 1 for more details).
3. Site Specific Cancer Risk in Diabetes
Hepatocellular carcinoma (HCC) is the second most frequent cause of cancer death in men worldwide. In addition to pancreatic cancer it has been studied most extensively in regard to DM as well as the association between DM, and those malignancies have been reported as the strongest . Recently conducted meta-analysis of 25 cohort studies indicated that diabetes mellitus was associated with significantly increased risk of HCC (combined SRRs = 2.01; 95% CI; 1.61–2.51) as comparing to subjects without diabetes . Risk was independent of geographic location, alcohol consumption, history of cirrhosis, or infections with HBV or HCV. Although exact mechanisms underlying the link of diabetes and HCC are not clear, some hypotheses have been put forth. Hyperinsulinemia and resulting increase of IGF-1 can stimulate cellular proliferation, inhibit apoptosis, and promote carcinogenesis. This view has been supported by in vitro, animal model, and epidemiologic studies [48, 49]. Nevertheless due to insulin secretion burst to portal circulatory system, healthy liver cells are physiologically exposed to 3–9-fold higher insulin concentration, comparing with peripheral tissue . Thus direct mitogen action of insulin seems less probable than in other organs.
Diabetes may also act synergistically to other well-established risk factors for HCC, since HCV-positive persons, were more than three times more likely to have TIIDM , and HCV core protein has been shown to induce insulin resistance [52, 53]. Furthermore, in vivo and in vitro studies revealed that chronic and acute alcohol consumption can produce insulin resistance in liver [54, 55]. Though, most plausible link seems to arise from nonalcoholic fatty liver disease (NAFLD), the most common chronic liver disease in the Western world which is also considered as hepatic manifestation of diabetes and metabolic syndrome, as several studies consistently report nearly 70% prevalence of NAFLD in diabetic patients basing on ultrasonography and liver biopsy . Liver cancer can progress in some patients from simple steatosis to inflammation and develop nonalcoholic steatohepatits (NASH), which prevalence among diabetics was estimated to be 22.2% . NASH can lead to fibrosis, cirrhosis, and hepatocellular carcinoma, while this sequence usually has not been accompanied by any symptoms, signs, or even elevation of liver enzymes . NAFLD has been shown to be a potential contributor to a significant proportion of cryptogenic cirrhosis cases [58–60], which are responsible for 30–40% of HCCs in Western societies . HCC may arise from NASH without preexisting cirrhosis stage or even from NAFLD with mild or absent fibrosis [61, 62]. In a German study, analyzing 162 cases of HCC, NAFLD was found as an underlying etiology in 24% patients . Reassuringly, these tumors tend to be well differentiated, solitary, and larger with better prognosis .
Recent meta-analysis comprises 35 cohort studies addressed diabetes as a risk factor for pancreatic cancer with combined RRs = 1.94 (95% CI; 1.66–2.27), independently of geographic locations, sex, study design, alcohol consumption, BMI, and smoking status . However, given the negative correlation of duration of DM with pancreatic cancer risk, the controversy regarding the causal role of diabetes has risen. The highest risk of pancreatic cancer among studies was found within the first year followup (RRs 5.38), and then it gradually decreased as the duration of diabetes of 1–4 years conferred higher risk than DM lasting from 5 to 9 years, with RRs 1.95 and 1.49, respectively . Hence, the theory of reverse causation has been established where pancreatic cancer can induce a diabetic state and is supported by following findings. The frequency of diabetes diagnosis among patients with pancreatic cancer has gradually and continuously increased for 3 years preceding cancer detection . Similar tendency were found regarding FPG levels, with an inverse relation to BMI . Diabetes, predominantly new onset, was estimated to have more than 40% prevalence among pancreatic cancer . Moreover, the majority of new onset diabetes cases resolved after surgical resection of pancreatic tumor [67–69]. The occurrence of hyperglycemia was independent of pancreatic cancer stage and site , and a 2030 MW peptide was identified as a potential diabetic factor released by pancreatic cancer cells . Thus pancreatogenic diabetes (Type 3c DM) should be discriminated from new onset type II DM, based on a negative family history of DM, recent weight loss >2 kg, premorbid or usual BMI < 25 kg/m, and age 65 years and older . Absence of elevated pancreatic polypeptide (PP) serum levels after nutrient ingestion was proposed as reliable clinical test for T3cDM , which may become a sufficient indicator for implementing high-resolution imaging of the pancreas in these patients, as it was considered not practical to pose such an indication relying on new onset diabetes by itself. However, the possibility that longstanding diabetes is an actual risk factor cannot be excluded. After 10 years of diabetes, moderately elevated risk of pancreatic cancer remained with RRs 1.47 . In TIIDM, exocrine pancreatic cells are exposed to unparalleled high insulin levels given their proximity to insulin secreting islets, so hyperinsulinemia may likely account for the risk in the setting of direct growth promoting features of insulin and highly expressed IGF-1 and insulin receptors in pancreatic cancer cells [73, 74]. Furthermore, markers of pancreatic ductal replication were increased 4-fold in lean type II diabetic subjects and 10-fold in obese nondiabetic subjects. Expression of the same markers was markedly higher in samples of pancreatitis, pancreatic tissue surrounding pancreatic cancer and from obese diabetic subjects . Epidemiologic studies indicated that , FPG, and insulin levels were proportionally associated with pancreatic cancer risk, which was the highest after a 10 years of followup .
Most recent meta-analysis comprising 24 studies (8 case control and 16 cohorts) linked diabetes with modest increase in risk of colorectal cancer (CRC), the most common cancer of digestive tract in western societies, with RRs 1.26 (95% CI; 1.20–1.31) . The risk did not differ significantly by sex and subsite, but previous meta-analysis which presented similar results pointed that longer duration of DM (11–15 years) had strongest influence on CRC incidence . Several studies showed that increased levels of IGF-1, insulin and elevated (>7.5%) were all associated with higher occurrence of adenomatous polyps that presented at younger age [78–80]. It was suggested also that slower bowel transit and constipation, which are more common among diabetics, may lead to prolonged exposure of colon mucosa to toxins and potential carcinogens . For example, higher concentrations of fecal bile acids were associated with intramucosal adenocarcinomas [82, 83].
3.4. Other Organs
Meta-analysis of 15 trials (10 case control and 5 cohort) evaluating risk of cholangiocarcinoma (CC) in diabetes (included intra- and extrahepatic locations) indicated summary RRs 1.60 (95% CI; 1.38–1.87) in DM . Diabetes-related CC risk may be mediated by increased formation of biliary stones, a known risk factor for CC, while diabetes and insulin resistance was shown to be independently associated with gallstones formation . In addition, diabetes was associated with modest increase of esophageal carcinoma (SSRs 1.30; 95% CI; 1.12–1.50), according to meta-analysis of 17 studies (6 case control and 11 cohorts) . Esophageal carcinoma consists of two main histological subtypes: squamous cell carcinoma (ESCC) and adenocarcinoma (EAC). Interestingly, reflecting three case-control studies, which distinguished EAC as an outcome, combined SRR for adenocarcinoma was 2.12. It seems more alarming in the context of continuing rise in incidence rates of EAC, that now is estimated to account for 30–50% of all EC cases comparing to only 5% two decades ago . Above findings may be attributed to delayed gastric emptying and subsequent dyspepsia, that are more frequent in diabetes and that simultaneously can lead to Barrett’s esophagus and adenocarcinoma .
Nine cohort studies were included in meta-analysis assessing the kidney cancer risk in diabetes showed that RR of kidney cancer in diabetes was 1.42 (95% CI; 1.06–1.91). The association was stronger in women (RR = 1.7; 95% CI; 1.47–1.97) . Frequent comorbidities of diabetes such as hypertension and end stage renal disease (ESRD) may mediate its risk for kidney cancer, as those states were also documented as risk factors for kidney malignancy [89–91]. Moreover, recent association between chronic kidney disease (CKD), the lesser stage of ESRD, and cancer was established . Diabetes remain the most common cause of CKD and ESRD . Also liver, lung, and in particular urothelial cancer are strongly associated with CKD, with the risk of neoplasms increasing parallel to renal function decline measured by GFR. Impaired excretory renal function in CKD results in higher circulating levels of carcinogens and toxins and immune inhibition, factors that may underlie the CKD-cancer relation . Examination of tumor nephrectomy specimens revealed a wide array of histopathological changes in noninvaded kidney parenchyma, as only 10% of cases had normal renal tissue adjacent to tumor . Diabetes related pathologic alterations (glomerular hypertrophy, mesangial expansion, and arteriolar hyalinosis) were second most frequent changes detected in nonneoplastic renal tissue of tumor nephrectomy samples [93, 94]. Recent study from our lab shows that 25.4% of kidney cancer patients have diabetes considering a number of variables including ethnicity, age, and severity of the disease at the time of diagnosis .
Findings from meta-analysis of 16 studies suggest that individuals with diabetes may have a modestly increased risk of urothelial cancer (RR = 1.24; 95% CI; 1.08–1.42) . In line with this results, subsequent large prospective multiethnic cohort study  (186,000 participants from five ethnic group) reported similar RR = 1.25 (95% CI; 1.04–1.50) over a median 10.7 years of followup. While kidney cancers arising in the native kidneys of CKD and ESRD patients tend to have rather benign clinical course , increasing severity of CKD resulted in more aggressive and advanced urothelial cancers [99, 100]. Similarly, diabetes was recognized as independent predictor of worse outcome after urothelial cancer diagnosis . Risk of urinary tract infection is elevated in diabetes, and the former was also linked to bladder cancer risk .
Breast and endometrial cancer patients were also more likely to have a history of diabetes. Meta-analysis reflecting breast cancer risk (5 case-control and 7 cohort studies) demonstrated moderate association between breast cancer and diabetes with summary RR 1.25 (95% CI; 1.20–1.29) , whereas another meta-analysis (3 cohort and 13 case-control studies) reported more than two-fold increase in risk (RR = 2.1; 95% CI; 1.75–2.53) of endometrial cancer in diabetic women . However, such high-risk estimate may be due to the preponderance of case-control studies in latter meta-analysis. Interestingly, according to subset analysis of three studies, type I diabetes was found to strongly affect the cancer risk, with summary RR 3.15. In addition, hyperinsulinemia is associated with excessive ovarian androgen secretion and decreased levels of circulating sex hormone binding protein (SHBG), which leads to higher concentrations of bioactive estrogens, that are known as risk factors for malignancies of female reproductive organs [105, 106]. Hematologic malignancies also seem to be somehow associated with diabetes. Meta-analysis of 26 trials reported higher risk of non-Hodgkin lymphoma (particularly peripheral T-cell lymphoma), leukemia, and myeloma, but not Hodgkin lymphoma among diabetics .
In general, risk for malignancies in diabetes is varying regarding specific organs, which is expected in the sight of complexity of metabolic perturbations underlying diabetes, its influence on different organs, and distinct biology of each tumor. It appears that diabetic patients are at particularly greater risk of liver, endometrial, and pancreatic cancer. As the vast majority of studies accounted for type II diabetes (by excluding sudden onset diabetes as well as diabetics under 30 years of age) risk of cancer in type I diabetes remains unclear. According to recent systematic review, evidence on increased cancer incidence specifically in type I DM is limited and inconclusive . However, risk of certain tumors, like pancreatic and endometrial cancers, is likely increased in type I DM, as it was pointed in meta-analyses [104, 109].
Data in Table 2 summarized the link between all type of cancers and diabetes in recent published cohort and case studies.
4. Misclassification of Exposure
In vast majority of studies after exclusion of first 2 years of followup, the risk remains significantly increased. Reversal causality, meaning that the malignant process is leading to diabetes, appears to exist in pancreatic cancer, but again it does not account for the entire risk, so both effect and cause relation can be distinguished. In addition, hyperinsulinemia reflects some degree of causality in carcinogenesis, while risk of cancer may be expected rather to diminish with long-term type II DM since levels of endogenous insulin fall down due to beta cells failure. On the other hand, the actual magnitude of diabetes-cancer relation may be underestimated, as considering the following issues. Diabetes is an underdiagnosed disease, as nearly one-third of those having diabetes are undiagnosed . In studies relying on self-reported DM, some subjects in controls group may also have diabetes. Prevalence of DM among controls group increased over time, and in some studies baseline inclusion criteria for diabetes had higher cut off values than current ones. Furthermore, it is of note that insulin plasma levels are highest in the period directly preceding diabetes, development of diabetes is typically an insidious process, extending over many years, and a significant proportion of patients are either undiagnosed of diabetes or have prediabetes (35% prevalence among persons over 20 years) .
Hence, while process of insulin resistance and other metabolic abnormalities accompanying diabetes are already established, the potential malignant influence of diabetes may affect greater proportion of population. Indeed, according to some studies, the highest cancer risks were found among subjects just below the threshold commonly accepted for DM diagnosis [28, 111]. Additionally some studies tend not to distinguish between type I and type II DM relying on fact that estimated 95% of cases are type II diabetes . This may also slightly attenuate the risk of cancer in DMII, as DMI was shown to have no or very weak association with cancer . In order to reduce the risk of cardiovascular disease, diabetic patients are more likely to receive aspirin that lowers risk of cancer [112–114]. Studies performed previously to “aspirin era” reported higher risk of cancer in DM.
Diabetes was shown to act synergistically with other definite cancer risk factors as HP infection for gastric cancer . Also risk of pancreatic cancer in chronic pancreatitis was dramatically increased with coexistence of diabetes (HR = 33.52), even though the role of DM may be overlooked in the presence of more acknowledged risk factors . Despite potentially more frequent interaction with health care system, several studies consistently reported lower rates of screening for breast , cervical , and colon cancers . Finally, risk of cancer of several organs may be also ascribed to frequent DM comorbidities, while their occurrence is in fact strongly determined by diabetes. This is attributable to kidney cancer, ESRD, CKD, and liver cancer that may arise from the spectrum of NAFLD, NASH, and subsequent cirrhosis. Diabetes is leading cause of both, CKD, and NAFLD.
5. Diabetes Drugs
Considering the diabetes and cancer association, the most direct concern for patients as well as clinicians is that different treatment arms seem to modify the risk of cancer. Due to progressive clinical course, management of DMII is changing over time and is being adjusted to each patient individually.
Metformin, an insulin sensitizer, is a first line and most commonly used drug in management of diabetes, either as initial or combination therapy. Recently, metformin has attracted special attention as strong body of evidence from epidemiologic, in vitro, and in vivo model studies reported its antineoplastic properties [120–122]. Most recent meta-analysis of seventeen observational studies demonstrated that metformin was associated with 39% lower cancer risk (summary RR 0.61; 95% CI; 0.54–0.70) as comparing to reference therapies (insulin, sulfonylureas, or no medication) taken together . Several classes of mechanisms are proposed to contribute beneficial role of metformin with regard to malignancies. Metformin inhibits complex I of mitochondrial electron transport chain and thereby attenuates oxidative respiration resulting in ATP/AMP imbalance, which in turn activates LKB1 and AMP-kinase (AMPK). Downstream signaling pathway of AMPK comprising mTOR inhibition, cyclin D1, and p53 interference most likely accounts for antiproliferative effects of metformin. Furthermore, metformin was shown to repress proliferation and survival of cancer stem cells as well as restrain the process of epithelial-mesenchymal transition (EMT), where cancer cells are acquiring metastatic phenotype [121, 124]. Additionally, reducing systemic risk factors by indirect mechanisms like lowering glucose, insulin, and insulin receptors levels along with immunosuppressive properties has been pointed out . Similarly, metformin may lead to caloric restriction conditions  known for preventing from tumor occurrence . Finally, metformin is capable of reducing endogenous ROS generation therefore impeding mutagenesis in somatic cells . Besides lowering incidence rate, metformin was reported to diminish cancer mortality . In addition, metformin improved chemotherapy outcome in breast cancer patients , lung cancer patients  and was recognized as independent factor of colorectal cancer survival . Moreover, metformin amplified anticancer effect of chemotherapeutic agents as doxorubicin  and paclitaxel .
Other classes of compounds used in DM therapy have less transparent link to neoplastic disease. In vitro studies reported potentially anticancer properties of thiazolidinediones, insulin sensitizing PPAR-gamma agonists [123, 133, 134]. Nevertheless, in vivo and epidemiologic trials presented conflicting evidence . Meta-analysis of randomized control trials (RCT) showed that rosiglitazone did not modify overall cancer risk  (OR 0.91 (95% CI 0.71–1.16), ); however, meta-analysis of studies investigating specifically bladder cancer reported elevated risk of this neoplasm in thiazolidinediones users according to cohort studies, which was not confirmed by two RCTs included in the study . Most recently thiazolidinediones therapies known for positive influence on blood pressure, lipid profile, and weight reduction were linked to thyroid and pancreatic malignancies .
5.3. Insulin Secretagogues
In terms of ongoing debate on role of hyperinsulinemia in tumor genesis there is a growing concern that drugs translating into increased levels of circulating insulin may represent a risk factor. Indeed several trials documented that use of insulin secretagogues particularly sulfonylureas, is associated with higher cancer incidence and mortality [139–141]. On the other hand, meta-analysis did not confirmed this data showing neutral effect of sulfonylureas on cancer incidence .
Eventual initiation of insulin treatment after failure of oral drugs to maintain proper glycemic control was necessary in 40–80% of diabetic patients . Of note, while physiologic pattern of insulin secretion to portal vein included degradation and utilization of significant proportion of the hormone in the liver, exogenous administration confer higher availability of insulin to peripheral tissues. Insulin therapy was associated with higher risk of malignancies as stated in recent meta-analysis (summary RR = 1.39; 95% CI; 1.14, 1.70) . Regarding the insulin glargine controversy, several methodological flaws and limitations were pointed out in the study that raised the concern [145–147], and meta-analysis of trials comparing glargine to other insulin showed neutral effect of glargine on cancer incidence . However, it may be problematic to determine the actual influence of certain therapies on cancer risk as they are compared to agents potentially lowering the risk, hence protective effect of one drug may be confounded to be pro-carcinogenic features of other drugs. Moreover, clinical profile of metformin-treated diabetics is distinct from those using other therapies; namely, biguanides are prescribed more often to newly diagnosed patients free of other serious comorbidities like kidney, lung, heart, or liver diseases, whereas insulin tends to be introduced to older patients with longer duration of DM. Nevertheless, as to metformin, evidence regarding its tumor protective effects remains strong and convincing. It is also relevant to stress that cardiovascular risk remains a major threat for diabetic patients, thereby optimal glucose control, which reduces the risk of diabetes-associated complications, should be a central goal of proper diabetes management.
Studies relating to survival evaluate cancer outcome comparing cancer patients with DM and cancer patients without DM, whereas studies referring to mortality examine cancer related deaths among diabetic or nondiabetic group. In addition to increased incidence of cancer, DM diagnosis has also deleterious effects on cancer prognosis. It is relevant to distinguish studies assessing mortality and survival rates in cancer patients with DM. Higher mortality rates, to some extent, may be secondary to increased incidence of cancer in DM. Meta-analyses of 12 studies reported higher mortality across all cancers types in diabetes (RR 1.16; 95% CI; 1.03–1.30) . Additionally decreased short-term survival rates were noted among diabetics undergoing surgical resection of colorectal cancer  hepatectomy due to colon cancer metastases  as well as esophagogastrectomy [151, 152]. Most importantly, diabetics with cancer had lower rates of long-term all-cause survival than cancer patients without DM according to the meta-analysis of 23 studies (HR; 1.41; 95% CI; 1.28–1.55) .
It is reasonable to address the question by which mechanism and pathways diabetes influence the poorer cancer prognosis. Extensive explanations are provided elsewhere . Diabetes may result in more aggressive clinical course of cancer, strengthening its metastatic potential, favoring cancer growth by making host organism less resistant to cancer progression, possibly by known impaired immune function in diabetes. Hyperglycemia may more likely be involved in tumor progression by favoring growth of cells owing to Warburg effect, than in initiation of malignant process. Epidemiologic studies documented that survival rates in cancer are decreasing linearly to declining glycemic controls [155, 156]. DM patients with cancers of ovary, colon , prostate  but mainly breast [159, 160] were reported to present at more advanced stage. This is probably largely due to lower screening usage of diabetic patients, especially mammography . In the setting of diabetes and related metabolic perturbations, chemotherapy agents may be less efficient , and recurrence rate might be higher after radiation or surgery [161, 162]. Also, less intensive and aggressive treatment regimen is likely offered to DM patients in the context of already elevated risk of cardiovascular events and development of kidney, liver, and heart failure.
DM patients, more often are poor candidates for surgery  and oncologist may administer lower doses of anticancer agents to avoid occurrence of adverse effects [157, 160]. The latter is probably also attributable to higher chemotherapy related toxicity in DM patients. For example, in colon cancer patients with DM, there was a greater risk of postoperative hepatic decompensation after surgical removal of liver metastases  or higher occurrence of diarrhea after 5-fluorouracil adjuvant chemotherapy . In breast cancer patients diabetes predicted a whole range of chemotherapy toxicities increasing risk of all-cause hospitalization . Moreover, some of anticancer treatment regimens, including glucocorticosteroids and androgen deprivation therapy  or mTOR inhibitors [165, 166] used in advanced renal cell carcinoma tend to aggravate glycemic control, thereafter increasing risk of cardiovascular disease. Finally, diabetes is associated with higher all-cause mortality . Common specific causes of death in cancer are cachexia, thrombosis, pneumonia, and opportunistic infections. DM can independently impose risks of those particular diseases, so higher cancer mortality rates in DM may be more attributable to DM by itself than to more aggressive tumor behavior under diabetic conditions.
Diabetes significantly increases risk for several cancers, as well as it negatively affects the prognosis after cancer diagnosis. Relative risk imposed by DM is greatest (about 2-fold or higher) with regard to liver, pancreas, and endometrium cancer and lower for cancers of kidney, bladder, breast, colorectal, esophagus, biliary tract, and lymphoma. It appears that there is a very small risk for gastric and lung cancers, while the risk for prostate cancer is decreased with a history of DM. Diabetic patients with cancer have lower short- and long-term survival rates than their nondiabetic counterparts. It is highly possible that cancer’s adverse effects on thrombosis and oxygenation, immune response as well as the cardiovascular risks imposed by cancer surgery, may be amplified by diabetes, which independently contribute to increased risk of those states.
Since cancer and diabetes are heterogeneous, multifactorial diseases with complex background, several potential pathophysiological pathways can contribute their interdependence. Apart from hyperglycemia and insulin resistance, diabetes is further characterized by a low-grade chronic inflammation, reduced antioxidant capacity, dyslipidemia, hypertension, procoagulation, adipose tissue expansion with adverse secretory profile of cytokines, and altered hormonal concentrations . To add dimensions to this complexity, the relation between diabetes and cancer may be modulated by various genetic factors among ethnic groups, differences in lifestyles, and environmental exposures.
Hyperinsulinemia is a compensatory response for increasing insulin resistance of liver, muscles, and adipose tissue. Overt diabetes occurs when pancreatic β cells are no longer capable of intensive insulin production. Numerous epidemiological studies reporting correlation of elevated C-peptide, postprandial, and fasting insulin levels with cancer risk were summarized  and meta-analyzed . Significantly increased risk of colorectal, pancreatic, breast, and endometrial cancers was found in highest categories of insulin/peptide C levels . Insulin is a potent growth factor and can exert proliferative and carcinogenic influence in various manners, directly or through IGF. Hyperinsulinemia leads to increase of bioavailable IGF by inhibiting IGFBP1 in liver and may also sensitize cells to this hormone. In vitro studies confirmed growth promoting and apoptosis inhibition properties of insulin and IGF in physiological concentrations [171, 172]. Hyperinsulinemia may also facilitate tumor cell migration . Moreover, insulin and IGF receptors are broadly expressed by normal tissue as well as cancer cells . Expression of IR-A receptor which has more pronounced mitogenic than metabolic effect is expressed more commonly . Besides, insulin resistance confers failure mainly of metabolic cell response, while downstream mutagenic signaling effects are preserved . Although early phase clinical trials demonstrated that (IGF1R) specific antibodies are increasing sensitivity of colon cancer stem cells to chemotherapy, phase III results were unsatisfactory .
Hyperglycemia may serve as another plausible explanation. Strong epidemiological evidence indicates that high sugar intake and elevated serum glucose levels are associated with higher cancer incidence and mortality . Animal model hyperglycemia was shown to be involved in metastatic processes , and liver tumors tend to be significantly larger in high glucose environment which was independent of hyperinsulinemia . Enhanced formation of advanced glycation end products (AGE) was documented as a growth promoter for melanoma, pancreatic and possibly colon cancer in animal models . Hyperglycemia may exert a direct tumor promoting effect, since cancer cells rely strongly on glycolysis . Although generation of ATP requires by far more glucose than oxidative phosphorylation (feature which is used in PET imagining), malignant cells are already adapted to highly effective glucose uptake independently of insulin signaling, so that additional favorable effect of hyperglycemia is unclear.
Apart from direct actions of insulin and high glucose, various metabolic dearrangements, parallel to DM, can contribute to development of tumor. TIIDM is perceived as achronic proinflammatory condition [181–183], and inflammation is considered as a hallmark of carcinogenesis [184–186]. TNF alpha, IL6, and PAI1 may act as bridging molecules, while they are intensively secreted by adipose tissue , and involvement of each was described in malignant transformation [187–189]. Moreover, hyperglycemia by increased formation of AGE can stimulate NFκB production and in turn cancer promotion . Imbalance between production of reactive oxygen species (ROS) and cellular utilization capability result in oxidative stress which can be induced by diabetes  and chronic inflammation . Oxidative stress leads to genomic instability, DNA mutations, and it may be attributed to wide range of cancers .
Hyperglycemia by itself can induce DNA damage , downregulation expression of antioxidants , and increase ROS generation [195, 196]. Since glucose and fat metabolism are closely related, some authors investigated the potential correlation between certain range of dyslipidemic parameters and cancer risk in diabetic patients. Low levels of LDL and triglyceride, high HDL, and copresence of low LDL with albuminuria were significantly associated with cancer risk in TIIDM [197, 198]. Epigenetics refers to the regulation of gene expressions without changes in nucleotide sequence, therefore allowing for phenotype modification without altering the genotype, and it involves DNA methylation, chromatin remodeling, histone modification, micro RNAs, and broad spectrum of regulatory proteins . Diet and different nutrient profiles were shown to regulate epigenetic pathways early in fetal and postnatal life, in a way that can predispose to several diseases including diabetes.
Cancer has been associated with inherited or acquired genetic mutations, but components of epigenetic signaling have also been recognized in its development, suggesting that epigenetic modifications may provide another plausible mechanism linking etiologies of cancer and diabetes [200, 201]. On the other hand, diabetes display a range of endocrinological deregulations likewise increased levels of bioavailable estrogens due to inhibited liver production of SHBP  or increased production of androgens in ovaries . These factors may attribute to risk of breast and endometrial cancers [105, 106]. Expansion of adipose tissue, which is now perceived as highly active gland, is one of the key steps in development of DM. Adipocytes produce polypeptide hormones known as adipokines, which regulate glucose metabolism, insulin sensitivity, immune system, and angiogenesis. Leptin and adiponectin, two most intensively secreted adipokines, represent opposite metabolic activity. Leptin is positively associated with diabetes, obesity, and metabolic syndrome, but by its proangiogenic, antiapoptotic properties may exert a mitogenic influence on breast and pancreatic cancer cells . In contrast, adiponectin acts as negative regulator of diabetes and was shown to inhibit cancer development potentially by pro-apoptotic, anti-inflammatory, and antiangiogenic activities [205–207]. It seems that adverse secretory profile of adipokines plays a direct role in increasing insulin resistance and may also be involved in favoring growth of cancer. Finally, it is of particular note to realize that carcinogenic factors related to DM may affect more individuals than it is expected. One-third of diabetic persons remain undiagnosed, and 35% of US adults have prediabetes with already developing metabolic derangements potentially promoting carcinogenesis. Epidemiologic reports suggest that the latter group is at higher risk of cancer.
Overall, the wide spectrum of DM pathophysiology involves insulin resistance, altered glucose, fat metabolism, chronic hormonal, inflammatory derangements, and persistent oxidative stress. Therefore diabetes is more likely to create environment leading to sustained cycles of cellular destruction and subsequent proliferation, where accumulation of random genetic errors contribute to metaplasia-dysplasia-carcinoma sequence.
Diabetes is a high-risk state for several diseases, with cancer now added to the list. In the context of globally exploding diabetes incidence, elucidating the diabetes and cancer association is an essential task. Given the complexity of reciprocal interaction of pathophysiological pathways underlying diabetes, risk of cancer may be increased by number of direct and indirect mechanisms. Further mechanistic studies are warranted to establish biological pathways linking both diseases and thereafter formulate efficient clinical preventive strategies and public health policies to avoid overlapping burden of both diseases that already have tremendous impact on public health and economy.
Conflict of Interests
The authors declare they have no conflict of interests.
This work was supported in part by grant from Merit Review Award from South Texas Veterans Healthcare System (to S.L.H.). M. Rojna is a recipient of scholarship from Collegium Medicum at Bydgoszcz, Bydgoszcz, Poland. The authors would like to thank Taffanie Salas for reading the paper.
Centers for Disease Control and Prevention (CDC), “Prevalence of overweight and obesity among adults with diagnosed diabetes—United States, 1988–1994 and 1999–2002,” Morbidity and Mortality Weekly Report, vol. 53, no. 45, pp. 1066–1068, 2004.View at: Google Scholar
E. E. Calle and M. J. Thun, “Obesity and cancer,” Oncogene, vol. 23, no. 38, pp. 6365–6378, 2004.View at: Google Scholar
E. E. Calle and R. Kaaks, “Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms,” Nature Reviews Cancer, vol. 4, no. 8, pp. 579–591, 2004.View at: Google Scholar
D. Leroith, R. Novosyadlyy, E. J. Gallagher et al., “Obesity and Type 2 diabetes are associated with an increased risk of developing cancer and a worse prognosis; epidemiological and mechanistic evidence,” Experimental and Clinical Endocrinology & Diabetes, vol. 116, supplement 1, pp. S4–S6, 2008.View at: Publisher Site | Google Scholar
A. Schienkiewitz, M. B. Schulze, K. Hoffmann, A. Kroke, and H. Boeing, “Body mass index history and risk of type 2 diabetes: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study,” The American Journal of Clinical Nutrition, vol. 84, no. 2, pp. 427–433, 2006.View at: Google Scholar
M. A. Abdul-Ghani, M. Sabbah, B. Muati et al., “High frequency of pre-diabetes, undiagnosed diabetes and metabolic syndrome among overweight Arabs in Israel,” Israel Medical Association Journal, vol. 7, no. 3, pp. 143–147, 2005.View at: Google Scholar
A. W. Barclay, P. Petocz, J. McMillan-Price et al., “Glycemic index, glycemic load, and chronic disease risk—a metaanalysis of observational studies,” The American Journal of Clinical Nutrition, vol. 87, no. 3, pp. 627–637, 2008.View at: Google Scholar
J. Hu, C. La Vecchia, L. S. Augustin et al., “Glycemic index, glycemic load and cancer risk,” Annals of Oncology, vol. 24, no. 1, pp. 245–251, 2013.View at: Google Scholar
P. Gnagnarella, S. Gandini, C. La Vecchia, and P. Maisonneuve, “Glycemic index, glycemic load, and cancer risk: a meta-analysis,” The American Journal of Clinical Nutrition, vol. 87, no. 6, pp. 1793–1801, 2008.View at: Google Scholar
L. H. Kushi, T. Byers, C. Doyle et al., “American Cancer Society Guidelines on Nutrition and Physical Activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity,” CA: A Cancer Journal for Clinicians, vol. 56, no. 5, pp. 254–281, 2006.View at: Google Scholar
C. La Vecchia, “Mediterranean diet and cancer,” Public Health Nutrition, vol. 7, no. 7, pp. 965–968, 2004.View at: Google Scholar
R. Doll, “The lessons of life: keynote address to the nutrition and cancer conference,” Cancer Research, vol. 52, no. 7, supplement, pp. 2024s–2029s, 1992.View at: Google Scholar
K. Liu, J. Stamler, R. Stamler et al., “Methodological problems in characterizing an individual’s plasma glucose level,” Journal of Chronic Diseases, vol. 35, no. 6, pp. 475–485, 1982.View at: Google Scholar
R. Clarke, M. Shipley, S. Lewington et al., “Underestimation of risk associations due to regression dilution in long- term follow-up of prospective studies,” American Journal of Epidemiology, vol. 150, no. 4, pp. 341–353, 1999.View at: Google Scholar
H. F. Bunn, K. H. Gabbay, and P. M. Gallop, “The glycosylation of hemoglobin: relevance to diabetes mellitus,” Science, vol. 200, no. 4337, pp. 21–27, 1978.View at: Google Scholar
“Executive summary: standards of medical care in diabetes—2010,” Diabetes Care, vol. 33, supplement 1, pp. S4–S10, 2010.View at: Google Scholar
C. E. Joshu, A. E. Prizment, P. J. Dluzniewski et al., “Glycated hemoglobin and cancer incidence and mortality in the Atherosclerosis in Communities (ARIC) Study, 1990–2006,” International Journal of Cancer, vol. 131, no. 7, pp. 1667–1677, 2012.View at: Google Scholar
J. Miao Jonasson, J. Cederholm, B. Eliasson, B. Zethelius, K. Eeg-Olofsson, and S. Gudbjörnsdottir, “HbA1C and cancer risk in patients with type 2 diabetes—a nationwide population-based prospective cohort study in Sweden,” PloS One, vol. 7, no. 6, Article ID e38784, 2012.View at: Google Scholar
K.-T. Khaw, N. Wareham, S. Bingham, R. Luben, A. Welch, and N. Day, “Preliminary communication: glycated hemoglobin, diabetes, and incident colorectal cancer in men and women: a prospective analysis from the European Prospective Investigation into Cancer-Norfolk Study,” Cancer Epidemiology Biomarkers & Prevention, vol. 13, no. 6, pp. 915–919, 2004.View at: Google Scholar
S. H. Saydah, E. A. Platz, N. Rifai, M. N. Pollak, F. L. Brancati, and K. J. Helzlsouer, “Association of markers of insulin and glucose control with subsequent colorectal cancer risk,” Cancer Epidemiology Biomarkers & Prevention, vol. 12, no. 5, pp. 412–418, 2003.View at: Google Scholar
V. A. Grote, S. Rohrmann, A. Nieters et al., “Diabetes mellitus, glycated haemoglobin and C-peptide levels in relation to pancreatic cancer risk: a study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort,” Diabetologia, vol. 54, no. 12, pp. 3037–3046, 2011.View at: Google Scholar
H. Noto, T. Tsujimoto, T. Sasazuki, and M. Noda, “Significantly increased risk of cancer in patients with diabetes mellitus: a systematic review and meta-analysis,” Endocrine Practice, vol. 17, no. 4, pp. 616–628, 2011.View at: Google Scholar
H. Noto, K. Osame, T. Sasazuki, and M. Noda, “Substantially increased risk of cancer in patients with diabetes mellitus: a systematic review and meta-analysis of epidemiologic evidence in Japan,” Journal of Diabetes and Its Complications, vol. 24, no. 5, pp. 345–353, 2010.View at: Google Scholar
H.-C. Yeh, E. A. Platz, N.-Y. Wang, K. Visvanathan, K. J. Helzlsouer, and F. L. Brancati, “A prospective study of the associations between treated diabetes and cancer outcomes,” Diabetes Care, vol. 35, no. 1, pp. 113–118, 2012.View at: Google Scholar
M.-Y. Lee, K.-D. Lin, P.-J. Hsiao, and S.-J. Shin, “The association of diabetes mellitus with liver, colon, lung, and prostate cancer is independent of hypertension, hyperlipidemia, and gout in Taiwanese patients,” Metabolism, vol. 61, no. 2, pp. 242–249, 2012.View at: Publisher Site | Google Scholar
S.-F. Lo, S.-N. Chang, C.-H. Muo et al., “Modest increase in risk of specific types of cancer types in type 2 diabetes mellitus patients,” International Journal of Cancer, vol. 2, no. 1, pp. 182–188, 2013.View at: Google Scholar
N. Geraldine, A. Marc, T. Carla et al., “Relation between diabetes, metformin treatment and the occurrence of malignancies in a Belgian primary care setting,” Diabetes Research and Clinical Practice, vol. 97, no. 2, pp. 331–336, 2012.View at: Google Scholar
P.-H. Zhang, Z.-W. Chen, D. Lv et al., “Increased risk of cancer in patients with type 2 diabetes mellitus: a retrospective cohort study in China,” BMC Public Health, vol. 12, article 567, 2012.View at: Google Scholar
C.-J. Weng, Y.-H. Hsieh, C.-M. Tsai et al., “Relationship of insulin-like growth factors system gene polymorphisms with the susceptibility and pathological development of hepatocellular carcinoma,” Annals of Surgical Oncology, vol. 17, no. 7, pp. 1808–1815, 2010.View at: Publisher Site | Google Scholar
J. K. Wiencke, “Impact of race/ethnicity on molecular pathways in human cancer,” Nature Reviews Cancer, vol. 4, no. 1, pp. 79–84, 2004.View at: Google Scholar
S. H. Mehta, F. L. Brancati, M. S. Sulkowski, S. A. Strathdee, M. Szklo, and D. L. Thomas, “Prevalence of type 2 diabetes mellitus among persons with hepatitis C virus infection in the United States,” Annals of Internal Medicine, vol. 133, no. 8, pp. 592–599, 2000.View at: Google Scholar
J. He, S. de la Monte, and J. R. Wands, “Acute ethanol exposure inhibits insulin signaling in the liver,” Hepatology, vol. 46, no. 6, pp. 1791–1800, 2007.View at: Google Scholar
C. D. Williams, J. Stengel, M. I. Asike et al., “Prevalence of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis among a largely middle-aged population utilizing ultrasound and liver biopsy: a prospective study,” Gastroenterology, vol. 140, no. 1, pp. 124–131, 2011.View at: Publisher Site | Google Scholar
P. Angulo, “Nonalcoholic fatty liver disease,” Revista De Gastroenterología De México, vol. 70, supplement 3, pp. 52–56, 2005.View at: Google Scholar
A. Duseja, M. Nanda, A. Das, R. Das, A. Bhansali, and Y. Chawla, “Prevalence of obesity, diabetes mellitus and hyperlipidaemia in patients with cryptogenic liver cirrhosis,” Tropical Gastroenterology, vol. 25, no. 1, pp. 15–17, 2004.View at: Google Scholar
G. Baffy, E. M. Brunt, and S. H. Caldwell, “Hepatocellular carcinoma in non-alcoholic fatty liver disease: an emerging menace,” Journal of Hepatology, vol. 56, no. 6, pp. 1384–1391, 2012.View at: Google Scholar
Q. Ben, M. Xu, X. Ning et al., “Diabetes mellitus and risk of pancreatic cancer: a meta-analysis of cohort studies,” European Journal of Cancer, vol. 47, no. 13, pp. 1928–1937, 2011.View at: Google Scholar
J. Permert, I. Ihse, L. Jorfeldt, H. von Schenck, H. J. Arnquist, and J. Larsson, “Improved glucose metabolism after subtotal pancreatectomy for pancreatic cancer,” The British Journal of Surgery, vol. 80, no. 8, pp. 1047–1050, 1993.View at: Google Scholar
P. Fogar, C. Pasquali, D. Basso et al., “Diabetes mellitus in pancreatic cancer follow-up,” Anticancer Research, vol. 14, no. 6, pp. 2827–2830, 1994.View at: Google Scholar
J. H. Lee, S.-A. Kim, H. Y. Park et al., “New-onset diabetes patients need pancreatic cancer screening?” Journal of Clinical Gastroenterology, vol. 46, no. 7, pp. 58–61, 2012.View at: Google Scholar
Y. Cui and D. K. Andersen, “Diabetes and pancreatic cancer,” Endocrine-Related Cancer, vol. 19, no. 5, pp. F9–F26, 2012.View at: Google Scholar
M. Kornmann, H. Maruyama, U. Bergmann et al., “Enhanced expression of the insulin receptor substrate-2 docking protein in human pancreatic cancer,” Cancer Research, vol. 58, no. 19, pp. 4250–4254, 1998.View at: Google Scholar
L. Deng, Z. Gui, L. Zhao, J. Wang, and L. Shen, “Diabetes mellitus and the incidence of colorectal cancer: an updated systematic review and meta-analysis,” Digestive Diseases and Sciences, vol. 57, no. 6, pp. 1576–1585, 2012.View at: Google Scholar
R. Eddi, A. Karki, A. Shah, V. A. DeBari, and J. R. DePasquale, “Association of type 2 diabetes and colon adenomas,” Journal of Gastrointestinal Cancer, vol. 43, no. 1, pp. 87–92, 2012.View at: Google Scholar
P. R. Debruyne, E. A. Bruyneel, X. Li, A. Zimber, C. Gespach, and M. M. Mareel, “The role of bile acids in carcinogenesis,” Mutation Research, vol. 480-481, pp. 359–369, 2001.View at: Google Scholar
W. Jing, G. Jin, X. Zhou et al., “Diabetes mellitus and increased risk of cholangiocarcinoma: a meta-analysis,” European Journal of Cancer Prevention, vol. 21, no. 1, pp. 24–31, 2012.View at: Google Scholar
W. Huang, H. Ren, Q. Ben, Q. Cai, W. Zhu, and Z. Li, “Risk of esophageal cancer in diabetes mellitus: a meta-analysis of observational studies,” Cancer Causes & Control, vol. 23, no. 2, pp. 263–272, 2012.View at: Google Scholar
P. Russo, “End stage and chronic kidney disease: associations with renal cancer,” Frontiers in Oncology, vol. 2, p. 28, 2012.View at: Google Scholar
F. M. Shebl, J. L. Warren, P. W. Eggers, and E. A. Engels, “Cancer risk among elderly persons with end-stage renal disease: a population-based case-control study,” BMC Nephrology, vol. 13, article 65, 2012.View at: Google Scholar
R. Pyram, A. Kansara, M. A. Banerji, and L. Loney-Hutchinson, “Chronic kidney disease and diabetes,” Maturitas, vol. 71, no. 2, pp. 94–103, 2012.View at: Google Scholar
V. Bijol, G. P. Mendez, S. Hurwitz, H. G. Rennke, and V. Nosé, “Evaluation of the nonneoplastic pathology in tumor nephrectomy specimens: predicting the risk of progressive renal failure,” The American Journal of Surgical Pathology, vol. 30, no. 5, pp. 575–584, 2006.View at: Publisher Site | Google Scholar
S. M. Bonsib and Y. Pei, “The non-neoplastic kidney in tumor nephrectomy specimens: what can it show and what is important?” Advances in Anatomic Pathology, vol. 17, no. 4, pp. 235–250, 2010.View at: Google Scholar
S. L. Habib, T. J. Prihoda, M. Luna, and S. A. Werner, “Diabetes and risk of renal cell carcinoma,” Journal of Cancer, vol. 3, pp. 42–48, 2012.View at: Google Scholar
C. G. Woolcott, G. Maskarinec, C. A. Haiman, B. E. Henderson, and L. N. Kolonel, “Diabetes and urothelial cancer risk: the Multiethnic Cohort study,” Cancer Epidemiology, vol. 35, no. 6, pp. 551–554, 2011.View at: Google Scholar
Y. Neuzillet, X. Tillou, R. Mathieu et al., “Renal cell carcinoma (RCC) in patients with end-stage renal disease exhibits many favourable clinical, pathologic, and outcome features compared with RCC in the general population,” European Urology, vol. 60, no. 2, pp. 366–373, 2011.View at: Google Scholar
E. C. Hwang, Y. J. Kim, I. S. Hwang et al., “Impact of diabetes mellitus on recurrence and progression in patients with non-muscle invasive bladder carcinoma: a retrospective cohort study,” International Journal of Urology, vol. 18, no. 11, pp. 769–776, 2011.View at: Google Scholar
H. El-Mosalamy, T. M. Salman, A. M. Ashmawey, and N. Osama, “Role of chronic E. coli infection in the process of bladder cancer—an experimental study,” Infectious Agents and Cancer, vol. 7, article 19, 2012.View at: Google Scholar
S. Liao, J. Li, W. Wei et al., “Association between diabetes mellitus and breast cancer risk: a meta-analysis of the literature,” Asian Pacific Journal of Cancer Prevention, vol. 12, no. 4, pp. 1061–1065, 2011.View at: Google Scholar
R. E. James, A. Lukanova, L. Dossus et al., “Postmenopausal serum sex steroids and risk of hormone receptor-positive and -negative breast cancer: a nested case-control study,” Cancer Prevention Research, vol. 4, no. 10, pp. 1626–1635, 2011.View at: Google Scholar
J. J. Castillo, N. Mull, J. L. Reagan, S. Nemr, and J. Mitri, “Increased incidence of non-Hodgkin lymphoma, leukemia, and myeloma in patients with diabetes mellitus type 2: a meta-analysis of observational studies,” Blood, vol. 119, no. 21, pp. 4845–4850, 2012.View at: Google Scholar
V. L. Z. Gordon-Dseagu, N. Shelton, and J. S. Mindell, “Epidemiological evidence of a relationship between type-1 diabetes mellitus and cancer: a review of the existing literature,” International Journal of Cancer, vol. 132, no. 3, pp. 501–508, 2013.View at: Google Scholar
“CDC—2011 National Estimates—2011 National Diabetes Fact Sheet—Publications—Diabetes DDT”.View at: Google Scholar
P. M. Rothwell, M. Wilson, C.-E. Elwin et al., “Long-term effect of aspirin on colorectal cancer incidence and mortality: 20-year follow-up of five randomised trials,” The Lancet, vol. 376, no. 9754, pp. 1741–1750, 2010.View at: Google Scholar
C. Bosetti, V. Rosato, S. Gallus, J. Cuzick, and C. La Vecchia, “Aspirin and cancer risk: a quantitative review to 2011,” Annals of Oncology, vol. 23, no. 6, pp. 1403–1415, 2012.View at: Google Scholar
P. M. Rothwell, J. F. Price, F. G. R. Fowkes et al., “Short-term effects of daily aspirin on cancer incidence, mortality, and non-vascular death: analysis of the time course of risks and benefits in 51 randomised controlled trials,” The Lancet, vol. 379, no. 9826, pp. 1602–1612, 2012.View at: Google Scholar
K. G. Brodovicz, T. D. Kou, C. M. Alexander et al., “Impact of diabetes duration and chronic pancreatitis on the association between type 2 diabetes and pancreatic cancer risk,” Diabetes, Obesity & Metabolism, vol. 14, no. 12, pp. 1123–1128, 2012.View at: Google Scholar
T. J. Beckman, R. M. Cuddihy, S. M. Scheitel, J. M. Naessens, J. M. Killian, and V. S. Pankratz, “Screening mammogram utilization in women with diabetes,” Diabetes Care, vol. 24, no. 12, pp. 2049–2053, 2001.View at: Google Scholar
M. Martin and R. Marais, “Metformin: a diabetes drug for cancer, or a cancer drug for diabetics?” Journal of Clinical Oncology, vol. 30, no. 21, pp. 2698–2700, 2012.View at: Google Scholar
E. J. Gallagher and D. LeRoith, “Diabetes, cancer, and metformin: connections of metabolism and cell proliferation,” Annals of the New York Academy of Sciences, vol. 1243, pp. 54–68, 2011.View at: Google Scholar
K.-H. Yan, C.-J. Yao, H.-Y. Chang, G.-M. Lai, A.-L. Cheng, and S.-E. Chuang, “The synergistic anticancer effect of troglitazone combined with aspirin causes cell cycle arrest and apoptosis in human lung cancer cells,” Molecular Carcinogenesis, vol. 49, no. 3, pp. 235–246, 2010.View at: Publisher Site | Google Scholar
Z. Zhu, W. Jiang, M. D. Thompson, J. N. McGinley, and H. J. Thompson, “Metformin as an energy restriction mimetic agent for breast cancer prevention,” Journal of Carcinogenesis, vol. 10, article 17, 2011.View at: Google Scholar
C. Algire, O. Moiseeva, X. Deschênes-Simard et al., “Metformin reduces endogenous reactive oxygen species and associated DNA damage,” Cancer Prevention Research, vol. 5, no. 4, pp. 536–543, 2012.View at: Google Scholar
H. Noto, A. Goto, T. Tsujimoto, and M. Noda, “Cancer risk in diabetic patients treated with metformin: a systematic review and meta-analysis,” PloS One, vol. 7, no. 3, Article ID e33411, 2012.View at: Google Scholar
B.-X. Tan, W.-X. Yao, J. Ge et al., “Prognostic influence of metformin as first-line chemotherapy for advanced nonsmall cell lung cancer in patients with type 2 diabetes,” Cancer, vol. 117, no. 22, pp. 5103–5111, 2011.View at: Google Scholar
J. H. Lee, T. Kim II, S. M. Jeon, S. P. Hong, J. H. Cheon, and W. H. Kim, “The effects of metformin on the survival of colorectal cancer patients with diabetes mellitus,” International Journal of Cancer, vol. 131, no. 3, pp. 752–759, 2012.View at: Google Scholar
G. Z. Rocha, M. M. Dias, E. R. Ropelle et al., “Metformin amplifies chemotherapy-induced AMPK activation and antitumoral growth,” Clinical Cancer Research, vol. 17, no. 12, pp. 3993–4005, 2011.View at: Google Scholar
K. Ohta, T. Endo, K. Haraguchi, J. M. Hershman, and T. Onaya, “Ligands for peroxisome proliferator-activated receptor γ inhibit growth and induce apoptosis of human papillary thyroid carcinoma cells,” The Journal of Clinical Endocrinology and Metabolism, vol. 86, no. 5, pp. 2170–2177, 2001.View at: Publisher Site | Google Scholar
I. N. Colmers, S. L. Bowker, S. R. Majumdar, and J. A. Johnson, “Use of thiazolidinediones and the risk of bladder cancer among people with type 2 diabetes: a meta-analysis,” Canadian Medical Association Journal, vol. 184, no. 12, pp. 675–683, 2012.View at: Google Scholar
M. Elashoff, A. V. Matveyenko, B. Gier, R. Elashoff, and P. C. Butler, “Pancreatitis, pancreatic, and thyroid cancer with Glucagon-like peptide-1based therapies,” Gastroenterology, vol. 141, no. 1, pp. 150–156, 2011.View at: Google Scholar
M. Bodmer, C. Becker, C. Meier, S. S. Jick, and C. R. Meier, “Use of antidiabetic agents and the risk of pancreatic cancer: a case-control analysis,” The American Journal of Gastroenterology, vol. 107, no. 4, pp. 620–626, 2012.View at: Google Scholar
S. L. Bowker, S. R. Majumdar, P. Veugelers, and J. A. Johnson, “Increased cancer-related mortality for patients with type 2 diabetes who use sulfonylureas or insulin,” Diabetes Care, vol. 29, no. 2, pp. 254–258, 2006.View at: Google Scholar
D. Soranna, L. Scotti, A. Zambon et al., “Cancer risk associated with use of metformin and sulfonylurea in type 2 diabetes: a meta-analysis,” The Oncologist, vol. 17, no. 6, pp. 813–822, 2012.View at: Google Scholar
M. Janghorbani, M. Dehghani, and M. Salehi-Marzijarani, “Systematic review and meta-analysis of insulin therapy and risk of cancer,” Hormones & Cancer, vol. 3, no. 4, pp. 137–146, 2012.View at: Google Scholar
X. Du, R. Zhang, Y. Xue et al., “Insulin glargine and risk of cancer: a meta-analysis,” The International Journal of Biological Markers, vol. 27, no. 3, pp. 241–246, 2012.View at: Google Scholar
S. A. Little, W. R. Jarnagin, R. P. DeMatteo, L. H. Blumgart, and Y. Fong, “Diabetes is associated with increased perioperative mortality but equivalent long-term outcome after hepatic resection for colorectal cancer,” Journal of Gastrointestinal Surgery, vol. 6, no. 1, pp. 88–94, 2002.View at: Publisher Site | Google Scholar
A. G. Renehan, H.-C. Yeh, J. A. Johnson, S. H. Wild, E. A. M. Gale, and H. Møller, “Diabetes and cancer (2): evaluating the impact of diabetes on mortality in patients with cancer,” Diabetologia, vol. 55, no. 6, pp. 1619–1632, 2012.View at: Google Scholar
L. V. van de Poll-Franse, S. Houterman, M. L. G. Janssen-Heijnen, M. W. Dercksen, J. W. W. Coebergh, and H. R. Haak, “Less aggressive treatment and worse overall survival in cancer patients with diabetes: a large population based analysis,” International Journal of Cancer, vol. 120, no. 9, pp. 1986–1992, 2007.View at: Publisher Site | Google Scholar
A. V. D'Amico, M. H. Braccioforte, B. J. Moran, and M.-H. Chen, “Causes of death in men with prevalent diabetes and newly diagnosed high-versus favorable-risk prostate cancer,” International Journal of Radiation Oncology Biology Physics, vol. 77, no. 5, pp. 1329–1337, 2010.View at: Publisher Site | Google Scholar
J. Bellmunt, C. Szczylik, J. Feingold, A. Strahs, and A. Berkenblit, “Temsirolimus safety profile and management of toxic effects in patients with advanced renal cell carcinoma and poor prognostic features,” Annals of Oncology, vol. 19, no. 8, pp. 1387–1392, 2008.View at: Publisher Site | Google Scholar
P. T. Campbell, C. C. Newton, A. V. Patel, E. J. Jacobs, and S. M. Gapstur, “Diabetes and cause-specific mortality in a prospective cohort of one million u.s. adults,” Diabetes Care, vol. 35, no. 9, pp. 1835–1844, 2012.View at: Google Scholar
P. A. Sakkinen, P. Wahl, M. Cushman, M. R. Lewis, and R. P. Tracy, “Clustering of procoagulation, inflammation, and fibrinolysis variables with metabolic factors in insulin resistance syndrome,” American Journal of Epidemiology, vol. 152, no. 10, pp. 897–907, 2000.View at: Publisher Site | Google Scholar
M. Prisco, G. Romano, F. Peruzzi, B. Valentinis, and R. Baserga, “Insulin and IGF-I receptors signaling in protection from apoptosis,” Hormone and Metabolic Research, vol. 31, no. 2-3, pp. 80–89, 1999.View at: Google Scholar
F. Frasca, G. Pandini, P. Scalia et al., “Insulin receptor isoform A, a newly recognized, high-affinity insulin- like growth factor II receptor in fetal and cancer cells,” Molecular and Cellular Biology, vol. 19, no. 5, pp. 3278–3288, 1999.View at: Google Scholar
A. Corbould, H. Zhao, S. Mirzoeva, F. Aird, and A. Dunaif, “Enhanced mitogenic signaling in skeletal muscle of women with polycystic ovary syndrome,” Diabetes, vol. 55, no. 3, pp. 751–759, 2006.View at: Google Scholar
W. Li, Q. Ma, J. Liu et al., “Hyperglycemia as a mechanism of pancreatic cancer metastasis,” Frontiers in Bioscience, vol. 17, pp. 1761–1774, 2012.View at: Google Scholar
M. Banerjee and M. Saxena, “Interleukin-1 (IL-1) family of cytokines: role in type 2 diabetes,” Clinica Chimica Acta, vol. 413, no. 15-16, pp. 1163–1170, 2012.View at: Google Scholar
G. R. Romeo, J. Lee, and S. E. Shoelson, “Metabolic syndrome, insulin resistance, and roles of inflammation–mechanisms and therapeutic targets,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 32, no. 8, pp. 1771–1776, 2012.View at: Google Scholar
D. Hanahan and R. A. Weinberg, “Hallmarks of cancer: the next generation,” Cell, vol. 144, no. 5, pp. 646–674, 2011.View at: Google Scholar
F. Balkwill, “TNF-alpha in promotion and progression of cancer,” Cancer Metastasis Reviews, vol. 25, no. 3, pp. 409–416, 2006.View at: Google Scholar
M. Karin, “Nuclear factor-kappaB in cancer development and progression,” Nature, vol. 441, no. 7092, pp. 431–436, 2006.View at: Google Scholar
M. Lorenzi, D. F. Montisano, S. Toledo, and A. Barrieux, “High glucose induces DNA damage in cultured human endothelial cells,” The Journal of Clinical Investigation, vol. 77, no. 1, pp. 322–325, 1986.View at: Google Scholar
R. Robertson, H. Zhou, T. Zhang, and J. S. Harmon, “Chronic oxidative stress as a mechanism for glucose toxicity of the beta cell in type 2 diabetes,” Cell Biochemistry and Biophysics, vol. 48, no. 2-3, pp. 139–146, 2007.View at: Google Scholar
R. P. Robertson, J. Harmon, P. O. T. Tran, and V. Poitout, “Beta-cell glucose toxicity, lipotoxicity, and chronic oxidative stress in type 2 diabetes,” Diabetes, vol. 53, supplement 1, pp. S119–S124, 2004.View at: Google Scholar
X. Yang, W. So, G. T. C. Ko et al., “Independent associations between low-density lipoprotein cholesterol and cancer among patients with type 2 diabetes mellitus,” Canadian Medical Association Journal, vol. 179, no. 5, pp. 427–437, 2008.View at: Google Scholar
S. A. Ross and J. A. Milner, “Epigenetic modulation and cancer: effect of metabolic syndrome?” The American Journal of Clinical Nutrition, vol. 86, no. 3, pp. 872–877, 2007.View at: Google Scholar
M. Verma, “Cancer control and prevention by nutrition and epigenetic approaches,” Antioxidants & Redox Signaling, vol. 17, no. 2, pp. 355–364, 2012.View at: Google Scholar
T. N. Le, J. E. Nestler, J. F. Strauss, and E. P. Wickham, “Sex hormone-binding globulin and type 2 diabetes mellitus,” Trends in Endocrinology and Metabolism, vol. 23, no. 1, pp. 32–40, 2012.View at: Google Scholar
R. Kaaks, A. Lukanova, and M. S. Kurzer, “Obesity, endogenous hormones, and endometrial cancer risk: a synthetic review,” Cancer Epidemiology Biomarkers & Prevention, vol. 11, no. 12, pp. 1531–1543, 2002.View at: Google Scholar
E. Bråkenhielm, N. Veitonmäki, R. Cao et al., “Adiponectin-induced antiangiogenesis and antitumor activity involve caspase-mediated endothelial cell apoptosis,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 8, pp. 2476–2481, 2004.View at: Google Scholar
H. S. Moon, X. Liu, J. M. Nagel et al., “Salutary effects of adiponectin on colon cancer: in vivo and in vitro studies in mice,” Gut, vol. 1136, pp. 1–10, 2012.View at: Google Scholar