Background: Pancreatic cancer poses a significant challenge in individuals with diabetes, prompting a reevaluation of established risk factors beyond conventional glycemic control measures.
Objectives: To explore the complex interplay of metabolic and psychosocial determinants in pancreatic cancer risk among individuals with diabetes, challenging prevailing perspectives and advocating for a comprehensive approach.
Methods: A total of 21,945 UK Biobank participants with baseline diabetes diagnosis were analyzed. Social isolation was assessed through a questionnaire capturing five factors: household size, social activities, friend/family visits, loneliness, and confiding in others. Incident pancreatic cancer was identified using ICD codes. Baseline characteristics, insulin use, and other relevant factors were analyzed. Hazard ratios and mediation analyses were conducted to determine the relationship between social isolation, inflammation, and pancreatic cancer risk.
Results: Individuals with high social isolation were more likely to be male, smokers, non-drinkers, and have shorter sleep duration. They also had an increased risk of pancreatic cancer (HR = 2.65, 95% CI = 1.12-6.24) compared to those with low social isolation. Mediation analyses highlighted inflammation as a crucial mediator, with the proportion mediated by inflammation being 19.44% for insulin use, 10.34% for smoking, and 8.33% for social isolation.
Conclusions: Our findings highlight the importance of psychosocial factors in pancreatic cancer risk and underscore the need for further research to elucidate the underlying mechanisms.
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http://dx.doi.org/10.1186/s12885-025-13470-z | DOI Listing |
Mol Ther
January 2025
Department of Hematology and Oncology, Shenzhen University General Hospital, International Cancer Center, Shenzhen Key Laboratory, Hematology Institution of Shenzhen University, Shenzhen University Health Science Center, Shenzhen University, Shenzhen, China; Shenzhen University-Haoshi Cell Therapy Institute, Shenzhen, China. Electronic address:
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College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA.
In the original publication [...
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Hybrid Technology Hub, Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0372 Oslo, Norway.
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Department of Gastroenterology & Hepatology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Pancreatic cancer is associated with high rates of morbidity and mortality. Endoscopic ultrasound (EUS)-guided biopsy has become the standard diagnostic modality per the guidelines. The use of EUS has been growing for providing various treatments in patients with pancreatic cancers: biliary and gallbladder drainage for those with malignant biliary obstruction, gastroenterostomy for malignant gastric outlet obstruction, celiac plexus/ganglia neurolysis for pain control, radiofrequency ablation, placement of fiducial markers, and injection of local chemotherapeutic agents.
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Department of General, Visceral and Transplantation Surgery, University of Heidelberg, 69120 Heidelberg, Germany.
Despite the significant advancements of liver surgery in the last few decades, the survival rate of patients with liver and pancreatic cancers has improved by only 10% in 30 years. Precision medicine offers a patient-centered approach, which, when combined with machine learning, could enhance decision making and treatment outcomes in surgical management of ihCC. This study aims to develop a decision support model to optimize treatment strategies for patients with ihCC, a prevalent primary liver cancer.
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