Type-II diabetes and pancreatic cancer: a meta-analysis of 36 studies

The Epidemiology of Pancreatic Cancer and the Association With Acetylsalicylic Acid in the United States: A Population-Based Study

OBJECTIVES

Pancreatic cancer (PaC) is the third leading cause of cancer-related death in the United States. Multiple studies have investigated the epidemiology and the association between PaC and acetylsalicylic acid (ASA) use, revealing mixed results. Using a large database, we sought to investigate the epidemiology of PaC.

METHODS

Using a commercial database (Explorys Inc, Cleveland, Ohio), which includes electronic health record data from 26 major integrated US health care systems, all patients 18 years and older diagnosed with PaC for 5 years were identified based on Systematized Nomenclature Of Medicine-Clinical Terms. We determined the prevalence of PaC and the potential associated factors using univariable and multivariable analysis.

RESULTS

Of the 32,970,850 individuals, we identified 30,250 individuals with PaC with an overall prevalence of 0.08%. Individuals with PaC were more likely to be males, seniors (age, >65 years), and White, compared with patients without PaC. In subgroup analysis of chronic pancreatitis, individuals on ASA, individuals >65 years, White, and White males were less likely to have PaC, and non-White females were more likely to have PaC.

CONCLUSIONS

This is the largest population-based study evaluating the epidemiology of PaC. We observed a protective association of ASA on a subgroup of patients with PaC and chronic pancreatitis.

Early-Onset Diabetes as Risk Factor for Pancreatic Cancer: miRNA Expression Profiling in Plasma Uncovers a Role for miR-20b-5p, miR-29a, and miR-18a-5p in Diabetes of Recent Diagnosis

The high prevalence of early-diabetes in patients with pancreatic cancer (PanC) implies that its recognition could help identify people at high risk of developing PanC. Candidate microRNAs (miRNAs) associated with recent diabetes were screened from our previous miRNA expression profiling on 10 pools of plasma from PanC patients and non-PanC controls, both including also subjects with early- and late-diabetes. The droplet digital PCR (ddPCR) was used to re-test candidate miRNAs in a new independent cohort of 69 subjects (40 PanC, 29 non-PanC) with early- (17 PanC, 13 non-PanC) or late-diabetes (23 PanC, 16 non-PanC), and in 100 non-diabetic healthy subjects (HS). miRNA levels were evaluated for differences between subjects enrolled into the study and for their diagnostic performance, also compared to the CA 19-9 determinations. MiR-20b-5p, miR-29a, and miR-18a-5p were selected from the previous miRNA expression profiling. The ddPCR confirmed the increase of miR-20b-5p and miR-29a levels in PanC with early- compared to those with late-diabetes. Conversely, miR-20b-5p, miR-29a, and miR-18a-5p were over-expressed in both PanC and non-PanC with recent diabetes compared to HS, and each miRNA achieved a similar diagnostic performance in distinguishing either PanC or non-PanC with early-diabetes from HS (miR-20b-5p: AUC = 0.877 vs. AUC = 0.873; miR-29a: AUC = 0.838 vs. AUC = 0.810; miR-18a-5p: AUC = 0.824 vs. AUC = 0.875). Despite miR-20b-5p and miR-29a expressions were also higher both in PanC and non-PanC with late-diabetes with respect to HS, the diagnostic accuracy in PanC with late-diabetes vs. HS reached by each miRNA (miR-20b-5p: AUC = 0.760; miR-29a: AUC = 0.630) was lower than the ones achieved in PanC with early-diabetes vs. HS. Furthermore, miR-20b-5p achieved a higher diagnostic accuracy to discriminate non-PanC with early-diabetes from HS (AUC = 0.868; SP = 81%; PPV = 32.1%) compared to the CA 19-9 (AUC = 0.700; SP = 40.0%; PPV = 15.5%), and the joint (miR-20b-5p and CA 19-9) discrimination ability was higher than the one achieved by the CA 19-9 tested alone (AUC = 0.900, p = 0.003). Our data highlighted the association between miR-18a-5p and early-diabetes, and suggested for miR-20b-5p and miR-29 a role in identifying early diabetes in PanC, albeit not as an early manifestation of cancer. MiR-20b-5p as more informative marker than CA 19-9 in distinguishing non-PanC with recent diabetes from HS was also uncovered.

Use of metformin and aspirin is associated with delayed cancer incidence

BACKGROUND

While the chemoprevention effect of aspirin is well-established, the effects of metformin in cancer prevention is still controversial. This study is to investigate the use of aspirin, metformin, or the combination of both is associated with delayed cancer incidence.

METHOD

This dataset is based on the electronic medical record of public hospitals in Hong Kong. Patients were classified into 1. aspirin user, 2. metformin user, 3. both aspirin and metformin user and 4. control group with neither aspirin nor metformin used. Aspirin and/or metformin must have been taken for over 6 months in the treatment group and cancer incidences was counted at least 6 months after exposure to such medications. The primary outcome of this study was overall incidence of cancer during the follow-up period. The secondary outcomes were cancer incidences of specific sites, including colon/rectum, liver, oesophagus, pancreas, stomach, lung, breast, kidney, bladder and prostate. Cox proportional hazards regression models were fitted to estimate hazard ratios of cancer risks. Inverse probability of treatment weighting was used to control for the medication effects.

RESULTS

A total of 120,971 aspirin users, 11,365 metformin users, and 6630 aspirin plus metformin users, were identified. Compare to the control groups, those who used aspirin alone demonstrated a significant reduction in overall cancer risk (HR 0.80, 95% CI 0.73-0.87). Similarly, those who used metformin alone also showed an overall reduction in cancer risk (HR 0.79, 95% CI 0.71-0.88). Patients who received both aspirin and metformin showed the most significant reduction in overall cancer risk (HR 0.53, 95% CI 0.45-0.63). Metformin showed a significant reduction in cancer risk of lung, oesophagus and bladder.

CONCLUSION

There is a similar decrease in overall cancer rate with the use of aspirin or metformin alone. A more significant reduction in overall cancer risk was found with the use of both agents.

Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia

BACKGROUND

Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level.

METHODS

We conducted a gene-environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I-III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case-control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics.

RESULTS

No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 × 10-6) was observed in the meta-analysis (P GxE = 1.2 ×10-6, P Joint = 4.2 ×10-7).

CONCLUSIONS

This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans.

IMPACT

This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer.

Association of Type 2 Diabetes With Cancer: A Meta-analysis With Bias Analysis for Unmeasured Confounding in 151 Cohorts Comprising 32 Million People

BACKGROUND AND PURPOSE

Whether the association between type 2 diabetes (T2D) and cancer is causal remains controversial. The goal of this work is to assess the robustness of the observational associations between T2D and cancer to unmeasured confounding.

DATA SOURCES AND STUDY SELECTION

PubMed, Web of Science, and the Cochrane library were systematically searched on 10 January 2019 for observational studies investigating associations between T2D and cancer incidence or mortality.

DATA EXTRACTION AND DATA SYNTHESIS

Cohort-level relative risk (RR) was extracted. RRs were combined in random-effects meta-analyses and pooled estimates used in bias analyses. A total of 151 cohorts (over 32 million people, 1.1 million cancer cases, and 150,000 cancer deaths) were included. In meta-analyses, T2D was associated with incidence of several cancers, from prostate (RR 0.83; 95% CI 0.79, 0.88) to liver (2.23; 1.99, 2.49), and with mortality from pancreatic cancer (1.67; 1.30, 2.14). In bias analyses, assuming an unmeasured confounding associated with both T2D and cancer with a RR of 1.5, the proportion of studies with a true effect size larger than a RR of 1.1 (i.e., 10% increased risk in individuals with T2D) was nearly 100% for liver, pancreatic, and endometrial, 86% for gallbladder, 67% for kidney, 64% for colon, 62% for colorectal, and <50% for other cancer incidences, and 92% for pancreatic cancer mortality.

LIMITATIONS

Biases other than unmeasured confounding were not analytically assessed.

CONCLUSIONS

Our findings strongly suggest a causal association between T2D and liver, pancreatic, and endometrial cancer incidence, and pancreatic cancer mortality. Conversely, associations with other cancers were less robust to unmeasured confounding.

Increased cancer mortality among Japanese individuals with hyperinsulinemia

AIMS

To evaluate the effect of hyperinsulinemia on cancer death, we clarified the association between hyperinsulinemia and cancer mortality among Japanese individuals.

METHODS

All the participants (5586 men and 6652 women) lived in Hiroshima City, underwent a 75 g oral glucose tolerance test between 1994 and 2012, and were followed for mortality until August 2013. A systematic review of death certificates was used to confirm the cause of death.

RESULTS

During the follow-up period (median, 10.0 years), 587 participants died of cancer. Lung cancer was the most common cause of organ-specific death. We divided the participants into 3 groups according to the tertiles of fasting immunoreactive insulin (FIRI) levels (low, middle, and high groups). The high group had the highest mortality rate (5.5 per 1000 person-years). The hazard ratio (HR) for cancer mortality of the high group after adjustment for possible confounders, such as age, sex, body mass index, smoking status, alcohol intake, and radiation effects (model 1), was significantly higher than that of the low group (HR, 1.55; 95% confidence interval (CI), 1.23-1.95). In model 2 (model 1 plus fasting plasma glucose) and model 3 (model 1 plus HbA1c), the multivariate HRs for cancer mortality were 1.46 (95% CI, 1.15-1.85) and 1.48 (95% CI, 1.17-1.87), respectively.The HR for cancer death at high FIRI levels (per 1 μU/mL) was 1.04 (95% CI, 1.02-1.05) in all participants after adjusting for fasting plasma glucose level and other confounders. In the subgroup analysis, the HRs were 1.03 (95% CI, 0.98-1.09), 1.05 (95% CI, 1.02-1.08), and 1.04 (95% CI, 1.02-1.06) in the normal, prediabetes, and diabetes group, respectively.

CONCLUSIONS

Hyperinsulinemia was associated with a high risk of cancer mortality and may be an important link between cancer mortality and diabetes or prediabetes.

Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography

Imaging parameters including metabolic or textural parameters during F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) are being used for evaluation of malignancy. However, their utility for prognosis prediction has not been thoroughly investigated. Here, we evaluated the prognosis prediction ability of imaging parameters from preoperative FDGPET/CT in operable pancreatic cancer patients.Sixty pancreatic cancer patients (male:female = 36:24, age = 67.2 ± 10.5 years) who had undergone FDGPET/CT before the curative intent surgery were enrolled. Clinico-pathologic parameters, metabolic parameters from FDGPET/CT; maximal standard uptake value (SUVmax), glucose-incorporated SUVmax (GI-SUVmax), metabolic tumor volume, total-lesion glycolysis, and 53 textural parameters derived from imaging analysis software (MaZda version 4.6) were compared with overall survival.All the patients underwent curative resection. Mean and standard deviation of overall follow-up duration was 16.12 ± 9.81months. Among them, 39 patients had died at 13.46 ± 8.82 months after operation, whereas 21 patients survived with the follow-up duration of 18.56 ± 9.97 months. In the univariate analysis, Tumor diameter ≥4 cm (P = .003), Preoperative Carbohydrate antigen 19-9 ≥37 U/mL (P = .034), number of metastatic lymph node (P = .048) and GI-SUVmax (P = .004) were significant parameters for decreased overall survival. Among the textural parameters, kurtosis3D (P = .052), and skewness3D (P = .064) were potentially significant predictors in the univariate analysis. However, in multivariate analysis only GI-SUVmax (P = .026) and combined operation (P = .001) were significant independent predictors of overall survival.The current research result indicates that metabolic parameter (GI-SUVmax) from FDGPET/CT, and combined operation could predict the overall survival of surgically resected pancreatic cancer patients. Other metabolic or textural imaging parameters were not significant predictors for overall survival of localized pancreatic cancer.

Hemoglobin A1c as a marker to stratify diabetes risk following pancreaticoduodenectomy

Background

Pancreatic cancer has been shown to cause diabetes mellitus, and diabetes mellitus has been shown to be a risk factor for pancreatic cancer. The effect of pancreaticoduodenectomy on risk for development of diabetes mellitus is unclear. This study used hemoglobin A1c to determine the incidence of diabetes mellitus development following pancreaticoduodenectomy based on preoperative risk of diabetes mellitus.

Methods

Retrospective review of patients undergoing pancreaticoduodenectomy was performed with comparison of preoperative diabetes mellitus status and hemoglobin A1c with development of diabetes mellitus postoperatively. Risk ratios were calculated to determine the risk for diabetes mellitus development.

Results

Among 90 patients who met inclusion criteria, 26.7% developed new-onset or worsening diabetes mellitus following pancreaticoduodenectomy. Of those with hemoglobin A1c ≤ 5.6%, only 7.7% of patients developed diabetes mellitus. Patients at risk for diabetes mellitus preoperatively had 4.0 times greater risk for development of diabetes mellitus following pancreaticoduodenectomy.

Conclusion

Hemoglobin A1c levels should be used to identify patients at risk for new-onset or worsening diabetes mellitus following pancreaticoduodenectomy.

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Preoperative hemoglobin A1c (HbA1c) is a useful marker for predicting development of new-onset or worsening diabetes mellitus (DM) following pancreaticoduodenectomy (PD).

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Patients with HbA1c ≤ 5.6% are very unlikely to develop DM following PD.

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Patients at risk for DM (HbA1c 5.7%–6.4%) have a 4-fold greater risk for developing DM following PD than patients with HbA1c ≤ 5.6%.

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For patients who develop DM following PD, median time to diagnosis is 12 months.

Prevalence of type 2 diabetes in Middle-East: Systematic review& meta-analysis

BACKGROUND & OBJECTIVES

Type 2 diabetes is increasing in both developed and developing countries due to popularity of western lifestyle and population structure. Then, this systematic review aimed to identify the prevalence and trend of diabetes in the Middle-East region.

METHOD

We searched Google Scholar, PubMed and Medline from 2000 up to 2018. MeSH terms were a combination of "diabetes", "prevalence", "diabetes mellitus", "type 2 diabetes", "Name of Countries" and "Middle East". Pooled estimates were obtained by means of random effect models to account for variation between studies.

FINDING

Of the initially 669 identified articles, a total of 50 reports with 4,263,662 subjects met inclusion criteria. The combined prevalence of diabetes in the region was about 14.6% (95% CI: 11.6-17.5) which varied from 2.6% (95% CI: 2.5-2.6) to 21.9 (95% CI: 16.8-17.5) amongst countries. Therefore, approximately a total of 46 million individuals are now suffering from diabetes in the Middle East based on above-mentioned pooled estimate.

CONCLUSION

The pattern and growing trend of diabetes during last 20 years in the study area is alarming and underline the point that maximal risk reduction for developing diabetes should be at the top of health priorities.

New-Onset Diabetes, Longitudinal Trends in Metabolic Markers, and Risk of Pancreatic Cancer in a Heterogeneous Population

BACKGROUND & AIMS

Observational studies of predominantly white populations have found new-onset diabetes to be associated with increased risk of pancreatic cancer. We sought to determine whether this relationship applies to other races or ethnicities and to identify metabolic profiles associated with increased risk of pancreatic cancer.

METHODS

We conducted a population-based cohort study of Asian, black, Hispanic and white patients from Kaiser Permanente Southern California from 2006 through 2016 (n = 1,499,627). Patients with diabetes were identified based on glucose and hemoglobin A1c (HbA1c) measurements. We used Cox regression to assess the relationship between diabetes status and duration and pancreatic cancer. For patients with recent diagnoses of diabetes (1 year or less) we compared longitudinal changes in glucose, HbA1c, and weight, from time of diabetes diagnosis through 3 years prior to the diagnosis, in patients with vs without pancreatic cancer.

RESULTS

We identified 2,002 incident cases of pancreatic cancer from nearly 7.5 million person-years of follow-up. Compared to patients without diabetes, individuals who received a recent diagnosis of diabetes had an almost 7-fold increase in risk of pancreatic cancer (relative risk, 6.91; 95% CI, 5.76-8.30). Among patients with a recent diagnosis of diabetes, those who developed pancreatic cancer had more rapid increases in levels of glucose (Δslope: cases, 37.47 mg/dL vs non-cases, 27.68 mg/dL) and HbA1c (Δslope: cases, 1.39% vs non-cases, 0.86%) in the month preceding the diagnosis of diabetes, and subtle weight loss in the prior years (slope: cases -0.18 kg/interval vs non-cases 0.33 kg/interval). These longitudinal changes in markers of metabolism were stronger for specific race and ethnic groups.

CONCLUSIONS

In a study of a large ethnically diverse population, we found risk of pancreatic cancer to be increased among patients with a diagnosis of diabetes in the past year among different races and ethnicities. Weight loss and rapid development of poor glycemic control were associated with increased risk of pancreatic cancer in multiple races.

Time intervals to diagnosis and chemotherapy do not influence survival outcome in patients with advanced pancreatic adenocarcinoma

BACKGROUND

The effect of treatment delay on survival in pancreatic ductal adenocarcinoma (PDAC) remains unclear.

AIMS

This study aimed to assess the prognostic impact of time to diagnosis and chemotherapy in advanced PDAC and factors influencing the time intervals.

METHODS

advanced PDAC patients receiving chemotherapy in five centers in the decade 2007-2016 were included. Key time points during care pathway from clinical presentation to beginning of chemotherapy were retrospectively collected. Multivariate Cox proportional hazard model was performed.

RESULTS

A total of 409 patients were included (mean age 66.1 ± 10.3 years; 250 metastatic (61%); 139 received FOLFIRINOX chemotherapy (34%). The median overall survival (OS) was 7.2 months. The median times from first symptoms and from first specialist visit to the beginning of chemotherapy were respectively 100 days and 47 days. None of time intervals was significantly associated with OS. Significant prognostic factors were FOLFIRINOX chemotherapy (HR 0.6 [0.5-0.8]; P < 0.001), metastasis (HR 1.6 [1.3-2.0]; P = 0.001), WHO PS ≥ 2 (HR 1.6 [1.2-2.1]; P < 0.001) and acute pancreatitis as first symptom (HR 2.9 [1.7-4.9]; P < 0.001). Jaundice shortened time to diagnosis (P < 0.001). Acute pancreatitis (P < 0.001) and diabetes (P = 0.01) increased time to treatment.

CONCLUSION

Wait times from clinical presentation to beginning of chemotherapy do not influence survival in advanced PDAC.

Pancreatic cancer triggers diabetes through TGF-β-mediated selective depletion of islet β-cells

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease that remains incurable because of late diagnosis, which renders any therapeutic intervention challenging. Most PDAC patients develop de novo diabetes, which exacerbates their morbidity and mortality. How PDAC triggers diabetes is still unfolding. Using a mouse model of KrasG12D-driven PDAC, which faithfully recapitulates the progression of the human disease, we observed a massive and selective depletion of β-cells, occurring very early at the stages of preneoplastic lesions. Mechanistically, we found that increased TGF beta (TGF-β) signaling during PDAC progression caused erosion of β-cell mass through apoptosis. Suppressing TGF-β signaling, either pharmacologically through TGF-β immunoneutralization or genetically through deletion of Smad4 or TGF-β type II receptor (TβRII), afforded substantial protection against PDAC-driven β-cell depletion. From a translational perspective, both activation of TGF-β signaling and depletion of β-cells frequently occur in human PDAC, providing a mechanistic explanation for the pathogenesis of diabetes in PDAC patients, and further implicating new-onset diabetes as a potential early prognostic marker for PDAC.

Effect of High Fructose Corn Sirup on Pancreatic Ductal Adenocarcinoma Induced by Dimethyl Benzantracene (DMBA) in Rats

Increased risk of pancreatic cancer may be associated with consumption of sugar containing foods. The aim of this study was to evaluate the effect of peach nectar containing high fructose corn sirup (HFCS) consumption in a pancreatic carcinogenesis rat model induced by 7,12-Dimethyl benzanthracene (DMBA). Fifty-day-old male Sprague Dawley rats were fed with peach nectar containing HFCS + chow, peach nectar containing sucrose + chow and only chow. After 8 mo, feeding period, each group was divided into two subgroups, in which the rats were implanted with DMBA and no DMBA (sham). Histologic specimens were evaluated according to the routine tissue processing protocol. The animals with ad libitum access to pn-HFCS, pn-sucrose and chow (only) showed significant differences in chow consumption and glucose level. Necropsy and histopathologic findings showed tumor formation in the entire group treated with DMBA. Excluding one rat in chow group, which was classified as poorly differentiated type, the others were classified as moderately differentiated pancreatic ductal adenocarcinoma (PDAC). This study demonstrated that daily intake of HFCS did not increase body weight and there was no effect of peach nectar consumption on the development of PDAC induced by DMBA in rats.

Reduced mean platelet volume levels predict shorter survival in patients with resectable pancreatic ductal adenocarcinoma and type 2 diabetes

Background

Type 2 diabetes mellitus (T2DM) increased the risk of developing pancreatic cancer. Pancreatic ductal adenocarcinoma (PDAC) is the most common neoplastic disease originating from the pancreas. Increasing evidence indicates that platelets activation plays a prominent role in tumor and T2DM. Mean platelet volume (MPV) is an indicator of activated platelets and is altered in several cancers. The current study aimed to evaluate the prognostic role of MPV in resectable PDAC patients with T2DM.

Methods

Eight hundred and three patients with PDAC were included in this retrospective study. We determined the optimal cutoff value of MPV for 5-year overall survival (OS) using the receiver operating characteristic (ROC) method. The associations between MPV levels and clinical characteristics were analyzed. Kaplan-Meier survival analysis and Cox’s proportional hazard regression model were used to evaluate the prognostic value of MPV for OS.

Results

Compared to the PDAC patients without T2DM, MPV levels were significantly higher in the PDAC patients with T2DM. Moreover, MPV was significantly associated with the differentiation between T2DM and non-T2DM. In addition, Kaplan-Meier analysis found that patients with low MPV levels had a poorer 5-year OS than patients with high MPV levels in diabetic patients. Multivariate analyses revealed that MPV was an independent prognostic factor for OS in patients with T2DM. However, the independent prognostic role of MPV was not observed in patients without T2DM.

Conclusion

MPV independently predicts poor survival in PDAC patients with T2DM. Prospective studies are required to confirm the role of MPV in PDAC.

Updated risk factors to inform early pancreatic cancer screening and identify high risk patients

Pancreatic adenocarcinoma (PDAC) is associated with poor clinical outcomes and incomplete responses to conventional therapy. Therefore, there is an unmet clinical need to better understand the predisposing factors for pancreatic cancer in hopes of providing early screening to high-risk patients. While select risk factors such as age, race, and family history, or predisposing syndromes are unavoidable, there are several new and established risk factors that allow for intervention, namely by counseling patients to make the appropriate lifestyle modifications. Here, we discuss the best-studied risk factors for PDAC such as tobacco use and chronic pancreatitis, as well as newly emerging risk factors including select nutritional deficits, bacterial infections, and psychosocial factors. As several of these risk factors appear to be additive or synergistic, by understanding their relationships and offering coordinated, multidisciplinary care to high-risk patients, it may be possible to reduce pancreatic cancer incidence and improve clinical outcomes through early detection.

Epidemiologic Study of Patients Registered in Oncology Unit at a Hepatobiliary Tertiary Care Center in India

Background: Cancer accounts for about 1 in 7 deaths, worldwide. Primary cancers of the hepatobiliary system are significant health problems worldwide and their management presents great challenges for the hepatobiliary specialist. The incidence of hepatobiliary malignancies is on an increasing trend in India. Study: We did a retrospective study for the epidemiologic, clinical characteristics, and outcomes of patients with cancer registering for treatment in the oncology division at the Institute of Liver and Biliary Sciences, Delhi, India, between January 1, 2017 and December 31, 2017. Results: Atotal of 502 new patients were registered during the study period. The majority of the patients were male (M:F 1.69:1), in the age group of 35–64 years (64.3%) and presented in advanced stages of the disease (72.7% in Stage III and IV). The most common cancers were gallbladder cancer (GBC) (29.7%) and hepatocellular carcinoma (HCC) (17.3%). GBC was the most common in females (M: F 1:1.6), 86.6% were advanced (Stage III and IV), and gallstones were present in 44.3% patients (M: F 1:2.9). Periampullary carcinoma presented in early stages (71% in Stage I and II). Survival at 6 months (n = 110 evaluable patients) was 100% for Stage I, 88% for Stage II, 73.7% for Stage III and 42.1% for Stage IV, and 62.7% overall (P < 0.001). Survival at 6 months (n = 123 evaluable patients) was 56.5% for biliary cancers, 71.4% for HCC, and 75% for nonbiliary cancers (P = 0.15). 217 (43%) patients had one visit to the hospital and 168 (34%) patients had 2–5 visits with no or little follow-up. Conclusions: Most of the disease burden was in the male gender (GBC was more common in females), in the age group 35–64 years and with advanced disease presentation (except periampullary cancer). Survival diminished significantly with increasing stage of disease. Survival was worse for patients with biliary cancers. This could be due to advanced presentation, poor follow-up, and inadequate public health awareness.

Diabetes mellitus is associated with an increased risk of gastric cancer: a cohort study

BACKGROUND

Diabetes mellitus (DM) has been considered a potential risk factor for gastric cancer, but the evidence is conflicting. We evaluated the association of DM with incident gastric cancer in a large cohort of men and women with endoscopic assessment at baseline and during follow-up.

METHODS

We performed a retrospective cohort study of 195,312 adult men and women who underwent upper endoscopy at baseline and during follow-up between 2003 and 2014. DM was defined as fasting serum glucose ≥ 126 mg/dL, self-reported history of DM or current use of antidiabetic medications. Gastric cancer was confirmed histologically.

RESULTS

The prevalence of DM at baseline was 3.0% (n = 5774). Over 865,511 person-years of follow-up, 198 participants developed gastric cancer. The fully adjusted hazard ratio (HR) for incident gastric cancer comparing participants with and without DM at baseline was 1.76 [95% confidence interval (CI) 1.04-2.97; P = 0.033). When we evaluated DM as a time-varying covariate, the fully adjusted HR was 1.66 (95% CI 1.04-2.68; P = 0.036). The association between DM and incident gastric cancer did not differ by the presence of intestinal metaplasia (P for interaction = 0.61).

CONCLUSIONS

In this large cohort with endoscopic follow-up, DM was independently associated with increased gastric cancer incidence. The increased risk was independent of mucosal atrophy and intestinal metaplasia and was consistent in participants with newly developed DM during follow-up. Patients with DM may require more intensive endoscopic follow-up for gastric cancer screening.

5 Fluorouracil-loaded biosynthesised gold nanoparticles for the in vitro treatment of human pancreatic cancer cell

In this study, green synthesis of gold nanoparticles (AuNPs) was performed by a sunlight irradiation method using the Borassus flabellifer fruit extract as a reducing agent. 5-Fluorouracil (5-FU)-loaded GG capped AuNPs (5FU-G-AuNPs) was prepared. The nanoparticles was further characterised by UV-visible spectra, particle size analysis, zeta potential, SAED, HRTEM, and XRD. The MTT assay results showed the suitability 5-FU-G-AuNPs. In this study, 5-FU-G-AuNPs exhibited potential cytotoxic and apoptotic effects on (MiaPaCa-2) cell line.

Metformin use and risk of cancer in patients with type 2 diabetes: a cohort study of primary care records using inverse probability weighting of marginal structural models

BACKGROUND

Previous studies provide conflicting evidence on whether metformin is protective against cancer. When studying time-varying exposure to metformin, covariates such as body mass index (BMI) and glycated haemoglobin (HbA1c) may act as both confounders and causal pathway variables, and so cannot be handled adequately by standard regression methods. Marginal structural models (MSMs) with inverse probability of treatment weights (IPTW) can correctly adjust for such confounders. Using this approach, the main objective of this study was to estimate the effect of metformin on cancer risk compared with risk in patients with T2DM taking no medication.

METHODS

Patients with incident type 2 diabetes (T2DM) were identified in the Clinical Practice Research Datalink (CPRD), a database of electronic health records derived from primary care in the UK. Patients entered the study at diabetes diagnosis or the first point after this when they had valid HbA1c and BMI measurements, and follow-up was split into 1-month intervals. Logistic regression was used to calculate IPTW; then the effect of metformin on all cancers (including and excluding non-melanoma skin cancer) and breast, prostate, lung, colorectal and pancreatic cancers was estimated in the weighted population.

RESULTS

A total of 55 629 T2DM patients were alive and cancer-free at their study entry; 2530 people had incident cancer during a median follow-up time of 2.9 years [interquartile range (IQR) 1.3-5.4 years]. Using the MSM approach, the hazard ratio (HR) for all cancers, comparing treatment with metformin with no glucose-lowering treatment, was 1.02 (0.88-1.18). Results were robust to a range of sensitivity analyses and remained consistent when estimating the treatment effect by length of exposure. We also found no evidence of a protective effect of metformin on individual cancer outcomes.

CONCLUSIONS

We find no evidence that metformin has a causal association with cancer risk.

Diabetes mellitus and oral cancer/oral potentially malignant disorders: A systematic review and meta-analysis

The objective was to evaluate current evidence on the prevalence and risk of oral cancer and potentially malignant oral disorders among patients with diabetes mellitus. We searched PubMed, Embase, Web of Science, and Scopus for observational studies published before November 2019. We evaluated the study quality using GRADE, QUIPS, and a specific method for systematic reviews addressing prevalence questions. Meta-analyses were conducted, and heterogeneity and publication bias were examined. A total of 1,489 studies were found, 116 analyzed in full text, 52 included in qualitative synthesis and 49 meta-analyzed. Pooled prevalence (PP) of oral cancer in patients with diabetic was 0.25% (95% CI = 0.15-0.39)-250 per 100,000 patients with diabetes mellitus -with a greater chance of oral cancer among patients with diabetes mellitus (OR = 1.41 [95% CI = 1.10-1.81], p = .007). Patients with oral cancer and diabetes mellitus had a higher mortality than controls (HR = 2.09 [95%CI = 1.36-3.22], p = .001). Leukoplakia had a PP = 2.49% (95% CI = 1.14-4.29)-2,490 per 100,000 patients with diabetes mellitus -(OR = 4.34 [95% CI = 1.14-16.55], p = .03). A PP of 2.72 (95% CI = 1.64-4.02) was obtained for oral lichen planus among patients with diabetic -2,720 per 100,000 patients with diabetes mellitus (OR = 1.87 [95% CI = 1.37-2.57], p < .001). A low PP was estimated for erythroplakia (0.02%[95%CI = 0.00-0.12]-20 per 100,000 patients with diabetes mellitus. In conclusion, patients with diabetes mellitus have a higher prevalence and greater chance of oral cancer and OPMD development in comparison with non-diabetic patients. In addition, patients with oral cancer suffering from diabetes mellitus have a higher mortality compared to non-diabetic patients with oral cancer.

Familial Pancreatic Cancer and Surveillance of High-Risk Individuals

Family history of pancreatic cancer (PC) is a risk factor for PC development, and the risk level correlates with the number of affected families. A case of PC with ≥1 PC cases in the first-degree relative is broadly defined as familial pancreatic cancer (FPC) and accounts for 5% to 10% of total PC cases. FPC possesses several epidemiological, genetic and clinicopathological aspects that are distinct from those of conventional PCs. In Western countries, FPC registries have been established since the 1990s, and high-risk individuals are screened to detect early PCs. For the pharmacotherapy of FPC, especially in cases with germline pathogenic BRCA mutations, regimens using platinum and poly (ADP-ribose) polymerase inhibitor have recently been studied for their effectiveness. To date, the concept of FPC has prevailed in Western countries, and it has begun to infiltrate into Eastern countries. As the genetic background and environmental conditions vary in association with ethnicity and living area, we need to establish our own FPC registries and accumulate data in Asian countries.

An examination of the association between lifetime history of prostate and pancreatic cancer diagnosis and occupation in a population sample of Canadians

BACKGROUND

Occupation was assessed as possible risk factors for prostate (PCa) and pancreatic cancer in a large Canadian worker cohort.

METHODS

The Canadian Census Health and Environment Cohort (CanCHEC) was derived from linking the 1991 Canadian Census Cohort to the Canadian Cancer Database (1969-2010), Canadian Mortality Database (1991-2011), and Tax Summary Files (1981-2011). From the total sample of 1,931,110 persons, we identified and derived two samples of 28,610 men and 3,220 men and women with a past history of PCa and pancreatic cancer diagnoses, respectively. Cox proportional hazards models were used to estimate hazards ratios and 95% confidence intervals for occupation.

RESULTS

In Canadian men aged 24-64 years, the highest elevated risks of PCa were observed for library clerks (HR = 2.36, 95% CI:1.12-4.97), medical radiation technologists (HR = 1.66, 95% CI:1.04-2.65), telecommunications and line cable workers (HR = 1.62, 95% CI: 1.22-3.16) and commissioned police officers (HR = 1.54, 95% CI: 1.10-2.16. The highest elevated risk for pancreatic cancer were observed for commissioned police officers (HR = 4.34, 95% CI: 1.85-10.21), photographic and film processors (HR = 3.97, 95% CI:1.69-9.34), railway and motor transport labourers (HR = 3.94, 95% CI: 1.67-9.29), and computer engineers (HR = 3.82, 95%CI: 1.52-9.61).

CONCLUSION

These findings emphasize the need for further study of job-related exposures and the potential influence of non-occupational factors such as screening practices.

Local and Systemic Immune Dysregulation Alters Glioma Growth in Hyperglycemic Mice

PURPOSE

Unlike most cancers, no clear epidemiological correlation between diabetes (Db) and malignant glioma progression exists. Because hyperglycemia activates proinflammatory pathways through the receptor for advanced glycation endproducts (RAGE), we hypothesized that Db can also promote malignant glioma progression.

EXPERIMENTAL DESIGN

We compared the growth of two phenotypically diverse syngeneic glioma models in control and diabetic mice. Tumor growth and antitumor immune responses were evaluated in orthotopic and heterotopic models and correlated to RAGE and RAGE ligand expression.

RESULTS

Irrespective of tumor implantation site, growth of a "classical" glioma model, GL261, increased in hyperglycemic mice and was mediated by upregulation of RAGE and its ligand, HMGB1. However, growth of a "mesenchymal" glioma subtype, K-Luc, depended on tumor implantation site. Whereas heterotopic K-Luc tumors progressed rapidly in Db mice, intracranial K-Luc tumors grew slower. We further showed that hyperglycemia inhibited the innate antitumor inflammatory responses in both models. Although this contributed to the accelerated growth of heterotopic tumors, suppression of tumor inflammatory responses dampened the growth of orthotopic K-Luc gliomas.

CONCLUSIONS

Hyperglycemia may enhance glioma growth through promotion of RAGE expression and suppression of antitumor immune responses. However, abrogation of the proinflammatory milieu in tumors may also dampen the growth of inflammatory glioma subtypes in the brains of diabetic mice. This dichotomy in glioma growth response to hyperglycemia may partly explain why conflicting epidemiological studies show both an increased risk and a protective effect of Db in patients with malignant gliomas.

Transforming growth factor-β signaling, a potential mechanism associated with diabetes mellitus and pancreatic cancer?

Pancreatic cancer is a common malignant digestive disease. Epidemiological and clinical studies have demonstrated that pancreatic cancer is closely related to diabetes mellitus. Diabetic patients are more likely to develop pancreatic cancer, which is linked with poor outcomes. Pancreatic cancer is complicated with abnormal blood sugar and insulin resistance and promotes the development of diabetes mellitus. Understanding the molecular mechanisms linking diabetes mellitus and pancreatic cancer is essential for the treatment of diabetes cancer patients. The transforming growth factor-β (TGF-β) signaling pathway is deregulated in cancer and has a dual role in different stages of cancer as a suppressor or a promoter. More important, The TGF-β signaling pathway is also another important reason for diabetic complications. This review summarizes the relationship between diabetes and pancreatic cancer, in particular, focusing on the role of the TGF-β signaling pathway. It is possible to find drugs like metformin that can prevent and treat pancreatic cancer by targeting the TGF-β signaling pathway.

Review: Diabetes, Obesity, and Cancer-Pathophysiology and Clinical Implications

Obesity and diabetes have both been associated with an increased risk of cancer. In the face of increasing obesity and diabetes rates worldwide, this is a worrying trend for cancer rates. Factors such as hyperinsulinemia, chronic inflammation, antihyperglycemic medications, and shared risk factors have all been identified as potential mechanisms underlying the relationship. The most common obesity- and diabetes-related cancers are endometrial, colorectal, and postmenopausal breast cancers. In this review, we summarize the existing evidence that describes the complex relationship between obesity, diabetes, and cancer, focusing on epidemiological and pathophysiological evidence, and also reviewing the role of antihyperglycemic agents, novel research approaches such as Mendelian Randomization, and the methodological limitations of existing research. In addition, we also describe the bidirectional relationship between diabetes and cancer with a review of the evidence summarizing the risk of diabetes following cancer treatment. We conclude this review by providing clinical implications that are relevant for caring for patients with obesity, diabetes, and cancer and provide recommendations for improving both clinical care and research for patients with these conditions.

Interventions to improve insulin resistance for the prevention of endometrial cancer

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To determine the safety and effectiveness of interventions to improve insulin resistance for the prevention of atypical endometrial hyperplasia or endometrial cancer, or both.

Diabetes mellitus is associated with unfavorable pathologic features, increased postoperative mortality, and worse long-term survival in resected pancreatic cancer

BACKGROUND

The risk of pancreatic ductal adenocarcinoma (PDAC) is increased in patients with diabetes mellitus (DM), particularly in those with new-onset DM. However, the impact of DM on outcomes following pancreatic surgery is not fully understood. We sought to explore the effects of DM on post-resection outcomes in patients undergoing either upfront resection or following neoadjuvant treatment (NAT).

METHODS

Resections for PDAC between 2007 and 2016 were identified from a prospectively-maintained database. Data on demographics, pathology, and perioperative outcomes were compared between patients with or without DM. Survival analysis was performed using Kaplan-Meier curves and adjusted for confounders by a Cox-proportional hazards model.

RESULTS

662 patients were identified, of whom 277 (41.8%) had DM. Diabetics were more likely to be male, had higher BMI, and higher ASA-scores. At pathology, DM was associated with larger tumors (30 vs. 26 mm; p = 0.041), higher rates of lymph-node involvement (69% vs. 59%; p = 0.031) and perineural invasion (88% vs. 82%; p = 0.026). Despite having similar rates of complications, diabetics experienced higher 30-day mortality (3.2% vs. 0.8%; p = 0.019). Median overall survival was worse in diabetic patients (18 vs. 34 months; p < 0.001); this effect was more pronounced in patients with NAT (18 vs. 54 months; p < 0.001). At multivariate analysis, DM was confirmed as an independent predictor of post-resection survival.

CONCLUSION

DM is a common comorbidity in PDAC and is associated with unfavorable pathology, as well as worse postoperative and oncologic outcomes. The blunted effect on survival is more pronounced in patients who undergo resection following NAT.

Diabetes, Diabetic Complications, and Phosphate Toxicity: A Scoping Review

This article presents a scoping review and synthesis of research findings investigating the toxic cellular accumulation of dysregulated inorganic phosphate-phosphate toxicity-as a pathophysiological determinant of diabetes and diabetic complications. Phosphorus, an essential micronutrient, is closely linked to the cellular metabolism of glucose for energy production, and serum inorganic phosphate is often transported into cells along with glucose during insulin therapy. Mitochondrial dysfunction and apoptosis, endoplasmic reticulum stress, neuronal degeneration, and pancreatic cancer are associated with dysregulated levels of phosphate in diabetes. Ectopic calcification involving deposition of calcium-phosphate crystals is prevalent throughout diabetic complications, including vascular calcification, nephropathy, retinopathy, and bone disorders. A low-glycemic, low-phosphate dietary intervention is proposed for further investigations in the treatment and prevention of diabetes and related diabetic pathologies.

Clinical Characteristics and Prevalence of Comorbidities according to Metformin Use in Korean Patients with Type 2 Diabetes

METHODS

This cross-sectional study based on the Korean National Diabetes Program 2 registry used its baseline clinical data collected from seven participating university hospitals in Korea. Patients with no significant changes in their oral hypoglycemic agents and no diabetes-related complications within the year prior to participation were enrolled. Patients' clinical characteristics according to metformin use were analyzed.

RESULTS

Among 858 subjects included in the analyses, 706 were metformin users and 152 were nonmetformin users. Metformin users were significantly younger and had higher and glycated hemoglobin with significantly lower rates of accompanying microvascular complications such as retinopathy, cataracts, overt proteinuria, renal insufficiency, and peripheral neuropathy than nonusers. Meanwhile, there was a significantly lower prevalence of malignancy and depression among metformin users. These associations remained significant in multivariate analyses. The prevalence rate of macrovascular complications was not significantly different between the two groups.

CONCLUSIONS

There were significant differences with respect to clinical characteristics and comorbidity prevalence according to metformin use among Korean type 2 diabetes patients. Long-term follow-up of these patients is necessary to observe how this difference will affect clinical outcomes for these patients.

Current epidemiology of pancreatic cancer: Challenges and opportunities

Pancreatic cancer (PC) is an increasingly common disease worldwide. Having a better understanding of worldwide and regional epidemiologic features and risk factors of PC is essential to identify new approaches for prevention, early diagnosis, surveillance, and treatment. In this article, we review the epidemiologic features and risk factors for PC and discuss opportunities and challenges of PC future treatment.

Racial Disparities and Trends in Pancreatic Cancer Incidence and Mortality in the United States

BACKGROUND & AIMS

Pancreatic cancer is one of the few cancers in the United States that is increasing in incidence. Little is known about racial disparities in incidence and mortality. We characterized racial disparities in pancreatic cancer incidence and mortality in different locations, time periods, age groups, and disease stages.

METHODS

We obtained data on the incidence of pancreatic cancer from the National Program of Cancer Registries and the Surveillance, Epidemiology, and End Results program of cancer registries from 2001 through 2015 on incidence, demographics, tumor characteristics, and population estimates for all 50 states and the District of Columbia. We obtained data on mortality from pancreatic cancer from the National Center for Health Statistics during the same time period. We plotted incidence rates by 10-year age group (30-39 years through 70-79 years and 80 years or older) separately for white and black patients. We calculated incidence and mortality rate ratios with 95% CIs for categories of age and race. To determine racial disparities, we calculated incidence rate ratios (IRR) for black vs white patients and mortality rate ratios by state.

RESULTS

Disparities in pancreatic cancer incidence and mortality in black vs white patients decreased over 5-year time periods from 2001 through 2015. However, among all age groups, from 2001 through 2015, pancreatic cancer incidence and mortality were higher among blacks than whites (incidence, 24.7 vs 19.4 per 100,000; IRR, 1.28; 95% CI, 1.26-1.29; mortality, 23.3 vs 18.4 per 100,000; IRR, 1.27; 95% CI, 1.26-1.28). Black patients had a higher incidence of distant pancreatic cancer (IRR, 1.32; 95% CI, 1.31-1.34) and a lower incidence of local cancer. Incidence increased in whites and blacks of younger age groups and was most prominent among persons 30-39 years old. Incidence increased by 57% among younger whites (IRR, 1.70; 95% CI, 1.43-2.02) and by 44% among blacks (IRR, 1.47; 95% CI, 1.01-2.15) from 2001 through 2015. Mortality remained stable among blacks and slightly increased among whites during this time period.

CONCLUSIONS

In the United States, there are racial disparities in pancreatic incidence and mortality that vary with location, patient age, and cancer stage. Further research is needed to identify factors associated with increasing incidence and persistence of racial disparities in pancreatic cancer.

Diabetes and its Potential Impact on Head and Neck Oncogenesis

In recent years, the incidence of diabetes mellitus and cancer has increased sharply; indeed, these have become the two most important diseases threatening health and survival. Head and neck (HN) tumors are the sixth most common malignancies in humans. Numerous studies have shown that there are many common risk factors for diabetes mellitus and HN squamous cell carcinoma, including advanced age, poor diet and lifestyle, and environmental factors. However, the mechanism linking the two diseases has not been identified. A number of studies have shown that diabetes affects the development, metastasis, and prognosis of HN cancer, potentially through the associated hyperglycemia, hyperinsulinemia and insulin resistance, or chronic inflammation. More recent studies show that metformin, the first-line drug for the treatment of type 2 diabetes, can significantly reduce the risk of HN tumor development and reduce mortality in diabetic patients. Here, we review recent progress in the study of the relationship between diabetes mellitus and HN carcinogenesis, and its potential mechanisms, in order to provide a scientific basis for the early diagnosis and effective treatment of these diseases.

Metformin alters the duodenal microbiome and decreases the incidence of pancreatic ductal adenocarcinoma promoted by diet-induced obesity

Pancreatic ductal adenocarcinoma (PDAC)'s growing incidence has been linked to the rise in obesity and type 2 diabetes mellitus. In previous work, we have shown that metformin can prevent the increased incidence of PDAC in a KrasG12D mouse model subjected to a diet high in fat and calories (HFCD). One potential way that metformin can affect the host is through alterations in the gut microbiome. Therefore, we investigated microbial associations with PDAC development and metformin use in the same mouse model. Lox-Stop-Lox Kras G12D/+ (LSL-Kras G12D/+); p48-Cre (KC) mice were given control diet, HFCD, or HFCD with 5 mg/mL metformin in drinking water for 3 mo. At the end of the 3 mo, 16S rRNA sequencing was performed to characterize microbiome composition of duodenal mucosal, duodenal luminal, and cecal luminal samples. KC mice on an HFCD demonstrated depletion of intact acini and formation of advanced pancreatic intraepithelial neoplasia. This effect was completely abrogated by metformin treatment. HFCD was associated with significant changes in microbial composition and diversity in the duodenal mucosa and lumen, much of which was prevented by metformin. In particular, Clostridium sensu stricto was negatively correlated with percent intact acini and seemed to be inhibited by the addition of metformin while on an HFCD. Administration of metformin eliminated PDAC formation in KC mice. This change was associated with significant microbial changes in both the mucosal and luminal microbiome of the duodenum. This suggests that the microbiome may be a potential mediator of the chemopreventive effects of metformin.NEW & NOTEWORTHY Pancreatic ductal adenocarcinoma (PDAC)'s growing incidence has been linked to the rise in obesity and type 2 diabetes mellitus. Administration of metformin eliminated PDAC formation in KC mice with diet-induced obesity. This change was associated with significant microbial changes in both the mucosal and luminal microbiome of the duodenum. This suggests that the microbiome may be a potential mediator of the chemopreventive effects of metformin.

A Phenome-Wide Mendelian Randomization Study of Pancreatic Cancer Using Summary Genetic Data

BACKGROUND

The 5-year mortality rate for pancreatic cancer is among the highest of all cancers. Greater understanding of underlying causes could inform population-wide intervention strategies for prevention. Summary genetic data from genome-wide association studies (GWAS) have become available for thousands of phenotypes. These data can be exploited in Mendelian randomization (MR) phenome-wide association studies (PheWAS) to efficiently screen the phenome for potential determinants of disease risk.

METHODS

We conducted an MR-PheWAS of pancreatic cancer using 486 phenotypes, proxied by 9,124 genetic variants, and summary genetic data from a GWAS of pancreatic cancer (7,110 cancer cases, 7,264 controls). ORs and 95% confidence intervals per 1 SD increase in each phenotype were generated.

RESULTS

We found evidence that previously reported risk factors of body mass index (BMI; 1.46; 1.20-1.78) and hip circumference (1.42; 1.21-1.67) were associated with pancreatic cancer. We also found evidence of novel associations with metabolites that have not previously been implicated in pancreatic cancer: ADpSGEGDFXAEGGGVR*, a fibrinogen-cleavage peptide (1.60; 1.31-1.95), and O-sulfo-l-tyrosine (0.58; 0.46-0.74). An inverse association was also observed with lung adenocarcinoma (0.63; 0.54-0.74).

CONCLUSIONS

Markers of adiposity (BMI and hip circumference) are potential intervention targets for pancreatic cancer prevention. Further clarification of the causal relevance of the fibrinogen-cleavage peptides and O-sulfo-l-tyrosine in pancreatic cancer etiology is required, as is the basis of our observed association with lung adenocarcinoma.

IMPACT

For pancreatic cancer, MR-PheWAS can augment existing risk factor knowledge and generate novel hypotheses to investigate.

PRSS1 genotype is associated with prognosis in patients with pancreatic ductal adenocarcinoma

The prognostic value of the genotype of the PRSS1 gene in patients with pancreatic ductal adenocarcinoma (PDAC) remains poorly understood. The aim of the present study was to evaluate the association between the PRSS1 genotype and clinicopathological characteristics of patients with PDAC, as well as to explore the prognostic significance of the PRSS1 genotype in patients with PDAC. A total of 124 patients with PDAC patients were included in the current study and the PRSS1 genotype of the enrolled patients was determined by the polymerase chain reaction. Associations between the PRSS1 genotype and clinicopathological characteristics were subsequently analyzed using the Chi-square test. The impact of the PRSS1 genotype on patient prognosis was assessed using the Kaplan-Meier method, and predictive factors of overall survival (OS) time were analyzed by Cox regression. A total of 56 patients with PDAC (45.16%) had the T/C PRSS1 genotype, which was associated with large tumor sizes (P=0.027) and higher tumor node metastasis (TNM) stages (P=0.041). Following a median follow-up of 19 months, the T/C genotype of PRSS1 genotype was associated with a shorter OS time (P=0.037) compared with the C/C or T/T PRSS1 genotypes. Univariate and multivariate analyses revealed that PRSS1 genotype was identified to be an independent prognostic factor for the OS time of patients with PDAC. The results obtained in the current study suggested that the PRSS1 genotype, as well as factors such as the serum level of carbohydrate antigen 19-9 and the TNM stage, may act as independent prognostic factors for the OS time of patients with PDAC.

The intricate relationship between diabetes, obesity and pancreatic cancer

Pancreatic cancer is one of the leading determinants of global cancer mortality, and its incidence is predicted to increase, to become in 2030 the second most common cause of cancer-related death. Obesity and diabetes are recognized risk factors for the development of pancreatic cancer. In the last few decades an epidemic of diabetes and obesity has been spreading worldwide, forewarning an increase in incidence of pancreatic cancer. This review considers the most recent literature, covering the multiple molecular axis linking these three pathologies, aiming to draw a more comprehensive view of pancreatic cancer for a better theragnostic stratification of the population.

Surveillance of Individuals with a Family History of Pancreatic Cancer and Inherited Cancer Syndromes: A Strategy for Detecting Early Pancreatic Cancers

A family history of pancreatic cancer (PC) is a risk factor of PC, and risk levels increase as affected families grow in number and/or develop PC at younger ages. Familial pancreatic cancer (FPC) is defined as a client having at least two PC cases in a first degree relatives. In the narrow sense, FPC does not include some inherited cancer syndromes that are known to increase the risks of PC, such as Peutz-Jeghers syndrome (PJS), hereditary pancreatitis (HP), hereditary breast ovarian cancer syndrome (HBOC), and so on. FPC accounts for 5%-10% of total PC diagnoses and is marked by several features in genetic, epidemiological, and clinicopathological findings that are similar to or distinct from conventional PC. Recent advances in genetic medicine have led to an increased ability to identify germline variants of cancer-associated genes. To date, high-risk individuals (HRIs) in many developed countries, including FPC kindreds and inherited cancer syndromes, are screened clinically to detect and treat early-stage PC. This article highlights the concept of FPC and the most recent data on its detection.

Diabetes and Chronic Pancreatitis: Considerations in the Holistic Management of an Often Neglected Disease

Diabetes secondary to chronic pancreatitis (CP) or type 3cDM refers to a brittle form of diabetes and is often characterised by hypoglycaemic episodes, erratic glycaemic control, and impaired quality of life. It differs from other forms of diabetes and is typically characterised by concurrent pancreatic endocrine and exocrine insufficiency which can present as malabsorption and nutritional deficiencies. In this review, we discuss the pathogenesis, epidemiology, and the practicalities of diagnosis, screening, and management of this condition.

Development of a stratification tool to identify pancreatic intraductal papillary mucinous neoplasms at lowest risk of progression

BACKGROUND

Because most pancreatic intraductal papillary mucinous neoplasms (IPMNs) will never become malignant, currently advocated long-term surveillance is low-yield for most individuals.

AIM

To develop a score chart identifying IPMNs at lowest risk of developing worrisome features or high-risk stigmata.

METHODS

We combined prospectively maintained pancreatic cyst surveillance databases of three academic institutions. Patients were included if they had a presumed side-branch IPMN, without worrisome features or high-risk stigmata at baseline (as defined by the 2012 international Fukuoka guidelines), and were followed ≥ 12 months. The endpoint was development of one or more worrisome features or high-risk stigmata during follow-up. We created a multivariable prediction model using Cox-proportional logistic regression analysis and performed an internal-external validation.

RESULTS

875 patients were included. After a mean follow-up of 50 months (range 12-157), 116 (13%) patients developed worrisome features or high-risk stigmata. The final model included cyst size (HR 1.12, 95% CI 1.09-1.15), cyst multifocality (HR 1.49, 95% CI 1.01-2.18), ever having smoked (HR 1.40, 95% CI 0.95-2.04), history of acute pancreatitis (HR 2.07, 95% CI 1.21-3.55), and history of extrapancreatic malignancy (HR 1.34, 95% CI 0.91-1.97). After validation, the model had good discriminative ability (C-statistic 0.72 in the Mayo cohort, 0.71 in the Columbia cohort, 0.64 in the Erasmus cohort).

CONCLUSION

In presumed side branch IPMNs without worrisome features or high-risk stigmata at baseline, the Dutch-American Risk stratification Tool (DART-1) successfully identifies pancreatic lesions at low risk of developing worrisome features or high-risk stigmata.

Preventing and Treating Diabetes in Canadian Adults With Intellectual and Developmental Disabilities

Despite emerging evidence that individuals with intellectual and developmental disabilities (IDD) have a high prevalence of diabetes, Canada does not have a strategy to address diabetes in this population. The aim of this review was to review effective health policies and practices to improve diabetes prevention and management developed by other jurisdictions in response to the high prevalence of diabetes among individuals with IDD. To do so, a narrative literature review was conducted based on 18 studies, in addition to 3 examples of resources, 2 systematic reviews, the Canadian diabetes guidelines, the UK diabetes guidelines and Kachika's "NHS RightCare Pathway" report. Consistent with the "Diabetes 360°: A Framework for a Diabetes Strategy for Canada" report, findings were summarized under 3 themes: 1) diabetes prevention and health promotion, 2) diabetes screening and 3) diabetes self-management. We also identified 2 additional areas that cut across all 3 of the themes: 1) diabetes health literacy and 2) role of carers in prevention, screening and treatment efforts. Our review identifies strategies to meet the unique needs of people with IDD who have diabetes, in order to encourage Canadian initiatives to address these needs.

The relationship between pancreatic cancer and type 2 diabetes: cause and consequence

Pancreatic cancer (PC) is a devastating and lethal malignant disease and it is well known that there is a complex bidirectional relationship between PC and type 2 diabetes mellitus (T2DM). In order to more deeply summarize the relationship between them, this article summarizes the epidemiological data on the relationship between PC and T2DM in the past 5 years, and further explains the mechanism of interaction between them. Meanwhile, it also summed up the effects of drug therapy for T2DM on PC and the impact of T2DM on surgical resection of PC. Epidemiological studies clearly indicate that the risk of PC is increased in patients with T2DM. But increasing epidemiological data points out that PC also acts as a cause of T2DM and new-onset T2DM is sign and consequence of PC. Insulin resistance, hyperinsulinemia, hyperglycemia, and chronic inflammation are the mechanisms of T2DM-Associated PC. Metformin decreases the risk of PC, while insulin therapy increases the risk of PC. Besides, studies have shown that T2DM decreases the survival in patients with PC resection.

Impact of the Duration of Diabetes Mellitus on the Outcome of Metastatic Pancreatic Cancer Treated with Gemcitabine: A Retrospective Study

Objective To assess the impact of the duration of diabetes mellitus (DM) on the outcomes of pancreatic cancer patients undergoing chemotherapy. Methods We reviewed the medical records of patients with metastatic pancreatic cancer who received gemcitabine monotherapy as the standard therapy before the introduction of combination regimens. The treatment outcomes of gemcitabine were compared among three groups classified according to the duration of DM: no DM, short DM (<4 years), and long DM (≥4 years). Results Among 350 patients, 218, 87, and 45 patients were classified into the no DM, short DM, and long DM groups, respectively. In comparison to the no DM group, the univariate hazard ratios (HRs) for progression-free survival (PFS) and overall survival (OS) were 1.44 [95% confidence interval (CI), 1.02-2.02; p=0.027] and 1.33 (95% CI, 0.93-1.89; p=0.081), respectively, in the long DM group, and 1.12 (95% CI, 0.85-1.46; p=0.426) and 1.06 (95% CI, 0.81-1.40; p=0.678), respectively, in the short DM group; the multivariate-adjusted HRs were 1.33 (95% CI, 0.94-1.89; p=0.103) and 1.37 (95% CI, 0.95-1.98; p=0.095) in the long DM group and 1.12 (95% CI, 0.85-1.47; p=0.410) and 1.10 (95% CI, 0.82-1.46; p=0.533) in the short DM group. The survival outcomes of the long DM group tended to remain poorer in analyses using different cutoffs of DM duration as, well as in hospital-specific analyses. Conclusion Long-standing DM may be associated with shorter PFS and OS in patients with metastatic pancreatic cancer.

Chronic inflammation markers are associated with risk of pancreatic cancer in the Swedish AMORIS cohort study

BACKGROUND

Nested case-control studies examining the association between serum markers of chronic inflammation, focused on three specific biomarkers (CRP, IL-8 and TNF-α), and risk of pancreatic cancer have reported no associations. In this study, we evaluated associations between standard pre-diagnostic serum markers of chronic inflammation (CRP, albumin, haptoglobin and leukocytes) and pancreatic cancer risk in the Swedish Apolipoprotein-related MORtality RISk (AMORIS) prospective cohort study.

METHODS

We selected all participants (≥20 years old) with baseline measurements of CRP, albumin, haptoglobin and leukocytes between 1985 and 1996 (n = 61,597). Participants were excluded if they had a history of chronic pancreatitis and all individuals were free from pancreatic cancer at baseline. Cox proportional multivariable hazards regression analysis was carried out for medical cut-offs of CRP, albumin, haptoglobin and leukocytes.

RESULTS

We observed an increased risk of pancreatic cancer for those individuals with higher levels of serum haptoglobin (≥1.4 g/L), CRP (≥10 mg/L) and leukocytes (≥10 × 109 cells/L) compared to those with haptoglobin levels < 1.4 g/L, CRP levels < 10 mg/L and Leukocyte levels < 10 × 109 cells/L [haptoglobin HR: 2.23 (95% CI 1.72-2.88), CRP HR: 1.32 (95% CI 1.00-1.74), leukocytes HR: 2.20 (95% CI 1.52-3.18)]. No associations were noted for serum albumin.

CONCLUSIONS

We found an increased risk of pancreatic cancer associated with pre-diagnostic serum levels of haptoglobin, CRP and leukocytes. Our finding suggests a possible role of chronic inflammation in the aetiology of pancreatic cancer and highlight the need to further investigate this association.

Exploring the link between diabetes and pancreatic cancer

Introduction: Epidemiological studies indicate an association between type 2 diabetes and pancreatic cancer but the complex and multidirectional relationship between them remains unclear. Areas covered: We summarized epidemiological evidence on diabetes and pancreatic cancer exploring the time-risk relationship. We described mechanisms linking long-standing diabetes to pancreatic cancer. We discussed pancreatic cancer-associated diabetes and its implication in the early detection of pancreatic cancer. Expert opinion: The markedly increased risk of pancreatic cancer in patients with new-onset diabetes compared with long-standing diabetes observed in several epidemiological studies indicates a complex and bidirectional connection, with long-standing diabetes being a predisposing factor for pancreatic cancer (increasing the risk of the malignancy 1.5- to 2-fold) and new-onset diabetes an early manifestation of the tumor. Identifying clinical features and biomarkers to distinguish pancreatic cancer-associated diabetes from type 2 diabetes is an important goal to improve management and survival of this cancer. Imaging (MRI) for middle-age patients with new-onset diabetes may be considered.

Using the Risk Factors of Pancreatic Cancer and Their Interactions in Cancer Screening: A Case-Control Study in Shanghai, China

Background:

The incidence of pancreatic cancer has increased annually, but the risk factors and their interactions are still unknown.

Objective:

The aim of this study was to identify risk factors and the effects of their interactions on pancreatic cancer occurrence among patients in Shanghai, China.

Methods:

We conducted a hospital-based case-control study. The case group consisted of pathologically diagnosed pancreatic cancer patients, and the control group consisted of a healthy population. The Pearson Chi-square test was used to compare the distribution frequencies of data between groups. Multivariate analysis and interaction analysis were conducted to explore possible risk factors and interactions between various variables.

Findings:

Among the 4,821 recruited participants, 1,392 were pancreatic cancer patients and 3,429 were controls. Multivariate logistic analysis suggested that age (>50 years old) (AOR: 16.20 [95% CI 6.78; 38.69]), diabetes (AOR: 5.40 [95% CI 2.70; 10.80]), chronic pancreatitis (AOR: 27.43 [95% CI 2.14; 351.77]), smoking (AOR: 8.86 [95% CI 3.07; 25.58]), and family cancer history (AOR: 2.10 [95% CI 1.09; 8.56]) were the primary risk factors for pancreatic cancer. Interestingly, synergistic interactions between risk factors were found, especially between age and chronic pancreatitis (RERI = 447.93, API = 96.74%, SI = 32.78), age and smoking (RERI = 187.42, API = 94.97%, SI = 21.99), and diabetes and smoking (RERI = 14.39, API = 48.06%, SI = 1.99).

Conclusions:

Age, diabetes, chronic pancreatitis, smoking, and family cancer history have been verified as the primary risk factors for pancreatic cancer in this study. Moreover, the interaction effects between old age, diabetes, chronic pancreatitis, and smoking substantially increase the probability of the development of pancreatic cancer. Cancer screening should be conducted extensively among people with these multiple factors to improve the efficiency.

Obesity-Induced Adipose Tissue Inflammation as a Strong Promotional Factor for Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is expected to soon become the second leading cause of cancer related deaths in the United States. This may be due to the rising obesity prevalence, which is a recognized risk factor for PDAC. There is great interest in deciphering the underlying driving mechanisms of the obesity–PDAC link. Visceral adiposity has a strong correlation to certain metabolic diseases and gastrointestinal cancers, including PDAC. In fact, our own data strongly suggest that visceral adipose tissue inflammation is a strong promoter for PDAC growth and progression in a genetically engineered mouse model of PDAC and diet-induced obesity. In this review, we will discuss the relationship between obesity-associated adipose tissue inflammation and PDAC development, with a focus on the key molecular and cellular components in the dysfunctional visceral adipose tissue, which provides a tumor permissive environment.

Disease classification via gene network integrating modules and pathways

Disease classification based on gene information has been of significance as the foundation for achieving precision medicine. Previous works focus on classifying diseases according to the gene expression data of patient samples, and constructing disease network based on the overlap of disease genes, as many genes have been confirmed to be associated with diseases. In this work, the effects of diseases on human biological functions are assessed from the perspective of gene network modules and pathways, and the distances between diseases are defined to carry out the classification models. In total, 1728 diseases are divided into 12 and 14 categories by the intensity and scope of effects on pathways, respectively. Each category is a mix of several types of diseases identified based on congenital and acquired factors as well as diseased tissues and organs. The disease classification models on the basis of gene network are parallel with traditional pathology classification based on anatomic and clinical manifestations, and enable us to look at diseases in the viewpoint of commonalities in etiology and pathology. Our models provide a foundation for exploring combination therapy of diseases, which in turn may inform strategies for future gene-targeted therapy.