Type 2 diabetes mellitus is associated with increased risk of pancreatic cancer: A veteran administration registry study

LncRNA HULC augments high glucose-associated pancreatic cancer progression and drug resistance by enhancing YAP activity and autophagy

BACKGROUND INFORMATION

One of the confounding factors in pancreatic cancer (PC) pathogenesis is hyperglycemia. The molecular mechanism by which high glucose (HG) influences PC severity is poorly understood. Our investigation delved into the impact of lncRNA highly upregulated in liver cancer (HULC) and its interaction with yes-associated protein (YAP) in regulating the fate of pancreatic ductal adenocarcinoma cells (PDAC) under HG-induced conditions. PDAC cells were cultured under normal or HG conditions. We thereafter measured the effect of HG on the viability of PDAC cells, their migration potential and drug resistance properties. The lncRNAs putatively dysregulated in PC and diabetes were shortlisted by bioinformatics analysis followed by wet lab validation of function.

RESULTS

HG led to enhanced proliferation and drug refractoriness in PDAC cells. HULC was identified as one of the major deregulated lncRNAs following bioinformatics analysis. HULC was found to regulate the expression of the potent transcriptional regulator - YAP through selective histone modifications at the YAP promoter. siRNA-mediated ablation of HULC resulted in a concurrent decrease in YAP transcriptional activity. Importantly, HULC and YAP were found to co-operatively regulate the cellular homeostatic process autophagy, thus inculcating drug resistance and proliferative potential in PDAC cells. Moreover, inhibition of autophagy or YAP led to a decrease in HULC levels, suggesting the existence of an inter-regulatory feedback loop.

CONCLUSIONS

We observed that HG triggers aggressive properties in PDAC cells. Mechanistically, up-regulation of lncRNA HULC resulted in activation of YAP and differential regulation of autophagy coupled to increased proliferation of PDAC cells.

SIGNIFICANCE

Inhibition of HULC and YAP may represent a novel therapeutic strategy for PDAC. Furthermore, this study portrays the intricate molecular interplay between HULC, YAP and autophagy in PDAC pathogenesis.

Pre-existing psychological disorders, diabetes, and pancreatic cancer: A population-based study of 38,952 Finns

BACKGROUND

It remains unclear how pre-existing depression, anxiety, and diabetes of different durations are associated with the risk of pancreatic cancer, its clinical characteristics, treatment modalities, and subsequent survival.

METHODS

From a register-based random sample of Finns residing in Finland at the end of the period 1987-2007, 6492 patients diagnosed with primary pancreatic cancer in 2000-2014, and 32 460 controls matched for birth cohort and sex, were identified. Pre-existing depression, anxiety, and diabetes were ascertained from the records of prescribed medication purchases. Information on pancreatic cancer outcomes was obtained from the Finnish cancer register. Data were analyzed using logistic and Cox regressions.

RESULTS

The risk of developing pancreatic cancer was found to be associated with long-term anxiety (treatment started 36 + months before the cancer diagnosis) (odds ratio (OR): 1.13, 95% confidence interval (95%CI): 1.04-1.22) and long-term diabetes (OR 1.72, 95%CI 1.55-1.90), as well as with new-onset (treatment started 0-24 months before the cancer diagnosis) depression (OR 1.59, 95%CI 1.34-1.88), anxiety (OR 1.76, 95%CI 1.50-2.07), and diabetes (OR 3.92, 95%CI 3.44-4.48). However, the effects of these new-onset conditions were driven by cases that began treatment within 3 months before the cancer diagnosis (concomitant period). Patients with long-term depression, anxiety and diabetes and those with new-onset anxiety had a higher risk of not receiving standard treatments. Lower survival was found for pancreatic cancer patients with new-onset depression (hazards ratio (HR) 1.38, 95%CI 1.16-1.64). Survival was not associated with pre-existing anxiety or diabetes.

CONCLUSIONS

The associations between pancreatic cancer risk and pre-existing depression and anxiety were mostly driven by concomitant effects. Individuals with diabetes, regardless of duration, should be closely monitored for pancreatic cancer. Pancreatic cancer patients with new-onset depression should be targeted to improve their survival.

Early screening and diagnosis strategies of pancreatic cancer: a comprehensive review

Pancreatic cancer is a highly malignant digestive system tumor with a poor prognosis. Most pancreatic cancer patients are diagnosed at an advanced stage or even metastasis due to its highly aggressive characteristics and lack of typical early symptoms. Thus, an early diagnosis of pancreatic cancer is crucial for improving its prognosis. Currently, screening is often applied in high‐risk individuals to achieve the early diagnosis of pancreatic cancer. Fully understanding the risk factors of pancreatic cancer and pathogenesis could help us identify the high‐risk population and achieve early diagnosis and timely treatment of pancreatic cancer. Notably, accumulating studies have been undertaken to improve the detection rate of different imaging methods and the diagnostic accuracy of endoscopic ultrasound‐guided fine‐needle aspiration (EUS‐FNA) which is the golden standard for pancreatic cancer diagnosis. In addition, there are currently no biomarkers with sufficient sensitivity and specificity for the diagnosis of pancreatic cancer to be applied in the clinic. As the only serum biomarker approved by the United States Food and Drug Administration, carbohydrate antigen 19‐9 (CA19‐9) is not recommended to be used in the early screening of pancreatic cancer because of its limited specificity. Recently, increasing numbers of studies focused on the discovering of novel serum biomarkers and exploring their combination with CA19‐9 in the detection of pancreatic cancer. Besides, the application of liquid biopsy involving circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), microRNAs (miRNAs), and exosomes in blood and biomarkers in urine, and saliva in pancreatic cancer diagnosis are drawing more and more attention. Furthermore, many innovative technologies such as artificial intelligence, computer‐aided diagnosis system, metabolomics technology, ion mobility spectrometry (IMS) associated technologies, and novel nanomaterials have been tested for the early diagnosis of pancreatic cancer and have shown promising prospects. Hence, this review aims to summarize the recent progress in the development of early screening and diagnostic methods, including imaging, pathological examination, serological examination, liquid biopsy, as well as other potential diagnostic strategies for pancreatic cancer.

Coupled liquid biopsy and bioinformatics for pancreatic cancer early detection and precision prognostication

Early detection and diagnosis are the key to successful clinical management of pancreatic cancer and improve the patient outcome. However, due to the absence of early symptoms and the aggressiveness of pancreatic cancer, its 5-year survival rate remains below 5 %. Compared to tissue samples, liquid biopsies are of particular interest in clinical settings with respect to minimal invasiveness, repeated sampling, complete representation of the entire or multi-site tumor bulks. The potential of liquid biopsies in pancreatic cancer has been demonstrated by many studies which prove that liquid biopsies are able to detect early emergency of pancreatic cancer cells, residual disease, and recurrence. More interestingly, they show potential to delineate the heterogeneity, spatial and temporal, of pancreatic cancer. However, the performance of liquid biopsies for the diagnosis varies largely across different studies depending of the technique employed and also the type and stage of the tumor. One approach to improve the detect performance of liquid biopsies is to intensively inspect circulome and to define integrated biomarkers which simultaneously profile circulating tumor cells and DNA, extracellular vesicles, and circulating DNA, or cell free DNA and proteins. Moreover, the diagnostic validity and accuracy of liquid biopsies still need to be comprehensively demonstrated and validated.

The Synergistic Effect of an ATP-Competitive Inhibitor of mTOR and Metformin on Pancreatic Tumor Growth

BACKGROUND

The mechanistic target of rapamycin complex 1 (mTORC1) is a nutrient-sensing pathway and a key regulator of amino acid and glucose metabolism. Dysregulation of the mTOR pathways is implicated in the pathogenesis of metabolic syndrome, obesity, type 2 diabetes, and pancreatic cancer.

OBJECTIVES

We investigated the impact of inhibition of mTORC1/mTORC2 and synergism with metformin on pancreatic tumor growth and metabolomics.

METHODS

Cell lines derived from pancreatic tumors of the KPC (KrasG12D/+; p53R172H/+; Pdx1-Cre) transgenic mice model were implanted into the pancreas of C57BL/6 albino mice (n = 10/group). Two weeks later, the mice were injected intraperitoneally with daily doses of 1) Torin 2 (mTORC1/mTORC2 inhibitor) at a high concentration (TH), 2) Torin 2 at a low concentration (TL), 3) metformin at a low concentration (ML), 4) a combination of Torin 2 and metformin at low concentrations (TLML), or 5) DMSO vehicle (control) for 12 d. Tissues and blood samples were collected for targeted xenometabolomics analysis, drug concentration, and cell signaling.

RESULTS

Metabolomic analysis of the control and treated plasma samples showed differential metabolite profiles. Phenylalanine was significantly elevated in the TLML group compared with the control (+426%, P = 0.0004), whereas uracil was significantly lower (-38%, P = 0.009). The combination treatment reduced tumor growth in the orthotopic mouse model. TLML significantly decreased pancreatic tumor volume (498 ± 104 mm3; 37%; P < 0.0004) compared with control (1326 ± 134 mm3; 100%), ML (853 ± 67 mm3; 64%), TL (745 ± 167 mm3; 54%), and TH (665 ± 182 mm3; 50%) (ANOVA and post hoc tests). TLML significantly decreased tumor weights (0.66 ± 0.08 g; 52%) compared with the control (1.28 ± 0.19 g; 100%) (P < 0.002).

CONCLUSIONS

The combination of mTOR dual inhibition by Torin 2 and metformin is associated with an altered metabolomic profile and a significant reduction in pancreatic tumor burden compared with single-agent therapy, and it is better tolerated.

Glycated serum proteins: High in pancreatic cancer and low in preeclampsia

Glycated serum protein (GSP, measured as serum fructosamine concentration in μmol/L) is a product of glycation reaction between glucose and serum proteins in the blood circulation. GSP is used along with blood glucose, glycated hemoglobin (HbA1c), and glycated albumin as indicators of glycemic control for diabetic patients. However, a systematic comparison of the GSP levels in different types of human diseases has not been reported. In this study, 62,698 clinical lab test results of GSP levels in patients with 61 clinically defined diseases over the past 5 years in our hospital were retrieved and compared to that of 1861 clinical lab test results in healthy individuals. Based on the mean (SD), median, and p (-Log₁₀p) values, we found that patients with type 2 diabetes, hepatic encephalopathy, pancreatic cancer, healthy individuals >65 years old, and cerebral arteriosclerosis had significantly (p<0.05, -Log₁₀p>1.30) increased whereas patients with 49/61 diseases including preeclampsia, nephrotic syndrome, sepsis, lupus erythematous, and leukemia had significantly decreased GSP levels compared to that of healthy controls. Among the 61 diseases, type 2 diabetes and leukemia had the highest -Log₁₀p values (>274) and lupus erythematous, nephrotic syndrome, and gastric cancer had -Log₁₀p values >140. Revealing the molecular mechanisms especially those underlying the decreased GSP levels in most of human diseases might make GSP levels serve more clinical purposes in future.

Insulin promotes invasion and migration of KRASG12D mutant HPNE cells by upregulating MMP-2 gelatinolytic activity via ERK- and PI3K-dependent signalling

Objectives

Hyperinsulinemia is a risk factor for pancreatic cancer, but the function of insulin in carcinogenesis is unclear, so this study aimed to elucidate the carcinogenic effects of insulin and the synergistic effect with the KRAS mutation in the early stage of pancreatic cancer.

Materials and methods

A pair of immortalized human pancreatic duct‐derived cells, hTERT‐HPNE E6/E7/st (HPNE) and its oncogenic KRAS^G12D variant, hTERT‐HPNE E6/E7/KRAS^G12D/st (HPNE‐mut‐KRAS), were used to investigate the effect of insulin. Cell proliferation, migration and invasion were assessed using Cell Counting Kit‐8 and transwell assays, respectively. The expression of E‐cadherin, N‐cadherin, vimentin and matrix metalloproteinases (MMP‐2, MMP‐7 and MMP‐9) was evaluated by Western blotting and/or qRT‐PCR. The gelatinase activity of MMP‐2 and MMP‐9 in conditioned media was detected using gelatin zymography. The phosphorylation status of AKT, GSK3β, p38, JNK and ERK1/2 MAPK was determined by Western blotting.

Results

The migration and invasion ability of HPNE cells was increased after the introduction of the mutated KRAS gene, together with an increased expression of MMP‐2. These effects were further enhanced by the simultaneous administration of insulin. The use of MMP‐2 siRNA confirmed that MMP‐2 was involved in the regulation of cell invasion. Furthermore, there was a concentration‐ and time‐dependent increase in gelatinase activity after insulin treatment, which could be reversed by an insulin receptor tyrosine kinase inhibitor (HNMPA‐(AM)₃). In addition, insulin markedly enhanced the phosphorylation of PI3K/AKT, p38, JNK and ERK1/2 MAPK pathways, with wortmannin or LY294002 (a PI3K‐specific inhibitor) and PD98059 (a MEK1‐specific inhibitor) significantly inhibiting the insulin‐induced increase in MMP‐2 gelatinolytic activity.

Conclusions

Taken together, these results suggest that insulin induced migration and invasion in HPNE and HPNE‐mut‐KRAS through PI3K/AKT and ERK1/2 activation, with MMP‐2 gelatinolytic activity playing a vital role in this process. These findings may provide a new therapeutic target for preventing carcinogenesis and the evolution of pancreatic cancer with a background of hyperinsulinemia.

Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models

Objectives

Patients with type 2 diabetes (T2DM) are suggested to have a higher risk of developing pancreatic cancer. We used two models to predict pancreatic cancer risk among patients with T2DM.

Methods

The original data used for this investigation were retrieved from the National Health Insurance Research Database of Taiwan. The prediction models included the available possible risk factors for pancreatic cancer. The data were split into training and test sets: 97.5% of the data were used as the training set and 2.5% of the data were used as the test set. Logistic regression (LR) and artificial neural network (ANN) models were implemented using Python (Version 3.7.0). The F₁, precision, and recall were compared between the LR and the ANN models. The areas under the receiver operating characteristic (ROC) curves of the prediction models were also compared.

Results

The metrics used in this study indicated that the LR model more accurately predicted pancreatic cancer than the ANN model. For the LR model, the area under the ROC curve in the prediction of pancreatic cancer was 0.727, indicating a good fit.

Conclusion

Using this LR model, our results suggested that we could appropriately predict pancreatic cancer risk in patients with T2DM in Taiwan.

Pancreatic Cancer and Diabetes Mellitus

PURPOSE OF REVIEW

The relationship between pancreatic ductal adenocarcinoma (PDAC) and diabetes mellitus (DM) is complex. We reviewed the recent medical literature regarding the effect of anti-diabetic medication on PDAC risk and survival, risk of PDAC in DM, and role of DM in early detection of PDAC.

RECENT FINDINGS

Studies report that while some anti-diabetic medications (e.g., metformin) may decrease the risk of PDAC, others (insulin, sulfonylureas and incretin-based therapies) may increase the risk. However, these observations may be subject to protopathic biases. Metformin's anti-tumor activity may have influence overall survival of PDAC, but epidemiological reports have largely been inconsistent to defend these findings due to heterogeneous methodologies. There is congruent data to support the association between DM and PDAC, with an inverse relationship to DM duration. Older subjects with new-onset DM are the only known high-risk group for PDAC, and strategy using this group for early detection has led to development of clinical risk prediction models that define a very high-risk PDAC group. Role of anti-diabetic medication in PDAC risk modification or survival is controversial. With successful efforts to distinguish type 2-DM from PDAC-DM using risk-stratifying models, there is an opportunity to initiate screening protocols for early detection of PDAC in a sub-set of DM subjects.

HbA1c is Positively Associated with Serum Carcinoembryonic Antigen (CEA) in Patients with Diabetes: A Cross-Sectional Study

INTRODUCTION

To explore the influence of glycemic levels on the serum carcinoembryonic antigen (CEA) levels in patients with diabetes.

METHODS

This is a cross-sectional study. Patients with diabetes aged 18-75 years old were recruited. Those patients with carcinoma, abnormal renal function (serum creatinine ≥ 115 μmol/l), and abnormal hepatic function (serum alanine aminotransferase ≥ 97.5 U/l) were excluded in this study. Blood samples were obtained from every patient after an overnight fasting, and CEA was determined using a chemiluminescent particle immunoassay.

RESULTS

A total of 324 patients with type 1 diabetes and 3019 patients with type 2 diabetes were included in this study. Patients with type 1 diabetes had higher levels of HbA1c (9.5% vs. 8.7%) and CEA (2.79 vs. 2.34 ng/ml), but lower fasting C peptide (0.72 vs. 1.71 ng/ml) than those with type 2 diabetes (all P < 0.001). Data indicated that CEA was higher in patients with smoking, drinking, older age, higher levels of HbA1c, and lower level of fasting C peptide (all P < 0.05). Multiple linear regression analysis indicated that CEA was independently associated with smoking, age, BMI, and HbA1c (all P < 0.05).

CONCLUSION

HbA1c was positively associated with the levels of CEA in patients with diabetes. More studies are warranted to investigate whether elevated CEA is associated with increased carcinoma risk in patients with diabetes.

Diabetes and the Pancreatobiliary Diseases

PURPOSE OF REVIEW

The emphasis of this review article is to bring to the forefront the spectrum of pancreatobiliary disorders and their association with diabetes. We hope to systematically discuss the link between diabetes and disorders of the pancreas including acute and chronic pancreatitis, as well as pancreatic cancer. We also hope to review and highlight the literature with respect to other cancers of the biliary tree including gallbladder and cholangiocarcinoma. Lastly, we discuss diabetes and biliary dyskinesia.

RECENT FINDINGS

Newer cohort studies suggest the presence of diabetes to increase the severity and worsen outcomes in acute pancreatitis. Post pancreatitis diabetes is a novel disease entity being increasingly recognized. The use of pancreatic enzyme replacement therapy (PERT) in chronic pancreatitis may attenuate the risk of endocrine dysfunction. Pancreatic cancer may either be the consequence of diabetes or a presenting manifestation. The use of anti-diabetic medications may confer protection against development of pancreatic cancer. Gallbladder adenocarcinoma and cholangiocarcinoma risks are elevated in those with underlying diabetes. Diabetes can directly impact or deteriorate outcome of acute and chronic pancreatitis and well as pancreatobiliary malignancies. It could also occur as a result of loss of endocrine function after pancreatitis. Like many areas of the digestive tract, biliary motility could be impacted by diabetes.