Currently, there are no effective preventive strategies for pancreatic cancer. Obesity has been increasingly recognized as a strong but modifiable risk factor of pancreatic cancer. In this article, we aim to review the literature regarding weight loss on prevention of pancreatic cancer. Epidemiological and laboratory studies have shown that obesity is associated with increased incidence of pancreatic cancer and potentially worse cancer outcome. Whereas the underlying pathomechanisms remain unclear, chronic inflammation, insulin resistance, and altered intestinal microbiota are all implicated in the carcinogenic effect of obesity. Weight loss, especially the durable and significant weight loss after bariatric surgery, has been shown to reduce the risks of multiple cancers and may become a good intervention for pancreatic cancer prevention.

Background

Hormone sensitive lipase (HSL) is a neutral lipase that preferentially catalyzes the hydrolysis of diacylglycerol contributing to triacylglycerol breakdown in the adipose tissue. HSL has been implicated to play a role in tumor cachexia, a debilitating syndrome characterized by progressive loss of adipose tissue. Consequently, pharmacological inhibitors of HSL have been proposed for the treatment of cancer-associated cachexia. In the present study we used the conditional KrasG12D (KC) mouse model of pancreatic ductal adenocarcinoma (PDAC) with a deficiency in HSL to determine the impact of HSL suppression on the development of PDAC.

Methods

KC;Hsl^+/+ and KC;Hsl^-/- mice were fed standard rodent chow for 20 weeks. At sacrifice, the incidence of PDAC was determined and inflammation in the mesenteric adipose tissue and pancreas was assessed histologically and by immunofluorescence. To determine statistical significance, ANOVA and two-tailed Student's t-tests were performed. To compare PDAC incidence, a two-sided Fisher's exact test was used.

Results

Compared to KC;Hsl^+/+ mice, KC;Hsl^-/- mice gained similar weight and displayed adipose tissue and pancreatic inflammation. In addition, KC;Hsl^-/- mice had reduced levels of plasma insulin and leptin. Importantly, the increased adipose tissue and pancreatic inflammation was associated with a significant increase in PDAC incidence in KC;Hsl^-/- mice.

Conclusions

HSL deficiency is associated with adipose tissue and pancreatic inflammation and accelerates PDAC development in the KC mouse model.

Objectives

Obesity increases the incidence of multiple types of cancer. Our previous work has shown that a high-fat, high-calorie diet (HFCD) leads to visceral obesity, pancreatic inflammation, and accelerated pancreatic neoplasia in KrasG12D (KC) mice. In this study, we aimed to investigate the effects of an HFCD on visceral adipose inflammation with emphasis on potential differences between distinct visceral adipose depots.

Methods

We examined the weight and visceral obesity in both wild-type and KC mice on either control diet (CD) or HFCD. After 3 months, mice were killed for histological examination. Multiplex assays were also performed to obtain cytokine profiles between different adipose depots.

Results

Both wild-type and KC mice on an HFCD exhibited significantly increased inflammation in the visceral adipose tissue, particularly in the peripancreatic fat (PPF), compared with animals on a CD. This was associated with significantly increased inflammation in the pancreas. Cytokine profiles were different between visceral adipose depots and between mice on the HFCD and CD.

Conclusions

Our results clearly demonstrate that an HFCD leads to obesity and inflammation in the visceral adipose tissue, particularly the PPF. These data suggest that obesity-associated inflammation in PPF may accelerate pancreatic neoplasia in KC mice.

Background

The epithelial-mesenchymal transition (EMT) is critical in the development of invasive epithelial malignancies. EMT is accelerated by inflammation and results in decreased E-cadherin expression. Diet-induced obesity is an inflammatory state that accelerates pancreatic carcinogenesis; its effect on EMT and E-cadherin expression in the development of pancreatic ductal adenocarcinoma is unclear.

Methods

Conditional Kras(G12D) mice were fed a control diet or a high-fat, high-calorie diet for 3 or 9 months (n = 10 each). Immunohistochemistry with anti-E-cadherin antibody was performed. E-cadherin expression was characterized by staining intensity, location, and proportion of positive cells. In vitro expression of E-cadherin and Slug in primary pancreatic intraepithelial neoplasia (PanIN) and cancer cells was determined by Western blot.

Results

The HFCD led to increased weight gain in both 3- (15.8 vs 5.6 g, P < .001) and 9-month (19.8 vs 12.9 g, P = .007) mice. No differences in E-cadherin expression among various stages of preinvasive PanIN lesions were found--regardless of age or diet. In invasive cancer, E-cadherin expression was aberrant, with loss of membranous staining and prominent cytoplasmic staining, associated with strong, cytoplasmic expression of β-catenin. In vitro expression of E-cadherin was greatest in primary PanIN cells, accompanied by absent Slug expression. Cancer cell lines demonstrated significantly decreased E-cadherin expression in the presence of upregulated Slug.

Conclusion

Despite increased pancreatic inflammation and accelerated carcinogenesis, the high-fat, high-calorie diet did not induce changes in E-cadherin expression in PanIN lesions of all stages. Invasive lesions demonstrated aberrant cytoplasmic E-cadherin staining. Loss of normal membranous localization may reflect a functional loss of E-cadherin.

We sought to find clinical subtypes of posttraumatic stress disorder (PTSD) in veterans 6-10 years post-trauma exposure based on current symptom assessments and to examine whether blood biomarkers could differentiate them. Samples were males deployed to Iraq and Afghanistan studied by the PTSD Systems Biology Consortium: a discovery sample of 74 PTSD cases and 71 healthy controls (HC), and a validation sample of 26 PTSD cases and 36 HC. A machine learning method, random forests (RF), in conjunction with a clustering method, partitioning around medoids, were used to identify subtypes derived from 16 self-report and clinician assessment scales, including the clinician-administered PTSD scale for DSM-IV (CAPS). Two subtypes were identified, designated S1 and S2, differing on mean current CAPS total scores: S2 = 75.6 (sd 14.6) and S1 = 54.3 (sd 6.6). S2 had greater symptom severity scores than both S1 and HC on all scale items. The mean first principal component score derived from clinical summary scales was three times higher in S2 than in S1. Distinct RFs were grown to classify S1 and S2 vs. HCs and vs. each other on multi-omic blood markers feature classes of current medical comorbidities, neurocognitive functioning, demographics, pre-military trauma, and psychiatric history. Among these classes, in each RF intergroup comparison of S1, S2, and HC, multi-omic biomarkers yielded the highest AUC-ROCs (0.819-0.922); other classes added little to further discrimination of the subtypes. Among the top five biomarkers in each of these RFs were methylation, micro RNA, and lactate markers, suggesting their biological role in symptom severity.