Objective: Liver cancer is the world's sixth most prevalent cancer and the third most frequent cause of cancer-related mortality. Glucose metabolic disorders, indicated by a high fasting plasma glucose (HFPG) concentration, is a contributor to the etiology of liver cancer. With the rising prevalence of glucose metabolic disorders, an assessment of the global burden of liver cancer attributable to HFPG is warranted to inform global liver cancer prevention and control strategies.
Methods And Analysis: We evaluated the global death and disability-adjusted life years (DALYs) of liver cancer and its subtypes attributable to HFPG at global, regional, and country level. The temporal trend and disparity across geographic regions, social development level, age groups and sex were assessed.
Results: In 2019, HFPG-attributable liver cancer was estimated to have caused 4,729.49 deaths and to be responsible for 99,302.25 DALYs. The age-standardized mortality and DALY rate were 0.06 and 1.20 per 100,000 population, and displayed a significantly increasing temporal trend from 1990 to 2019. The age-standardized mortality rate of patients with liver cancer that was attributable to HFPG was higher in men than women. Sex-based disparity narrowed after the women reached menopause, but increased between 1990 and 2019.
Conclusion: The burden of liver cancer that are attributable to HFPG has been influenced by longitudinal changes in lifestyle, the etiology of liver disease, age demographics, and hormonal status in women. These findings suggest that comprehensive strategies could be implemented, especially for patients with NASH and hyperglycemia, to prevent liver cancer.
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http://dx.doi.org/10.1016/j.jnha.2024.100261 | DOI Listing |
J Mol Med (Berl)
January 2025
Hospital Sensory Department, Shenzhen Qianhai Shekou Free Trade Zone Hospital, 36 Gongye Qi Road, Nanshan District, Shenzhen, 518067, China.
This work researched the influence and mechanism of CD155 on hepatocellular carcinoma advancement. CD155 expression and its effect on survival of hepatocellular carcinoma patients were analyzed based on the GEPIA2 database. String software predicted the interacting between CD155 and CD96, which was further verified by co-immunoprecipitation experiment.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Pôle des Pathologies Digestives et Hépatiques, Hôpital de Hautepierre-Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Strasbourg, France.
J Viral Hepat
March 2025
Aix Marseille Univ, Inserm, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Marseille, France.
J Viral Hepat
March 2025
Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Current guidelines to prevent hepatocellular carcinoma (HCC) by chronic hepatitis B virus (HBV) infection are based on risk assessments that include age, sex, and virological and biochemical parameters. The study aim was to investigate the impact of predictive markers on long-term outcomes. The clinical outcomes of 100 patients with chronic hepatitis B were investigated 30 years after a baseline assessment that included liver biopsy.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Chongqing Key Laboratory of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
Hepatocellular carcinoma (HCC) is the most common cancer worldwide and vascular endothelial growth factor receptor-2 (VEGFR-2) is an important target in the development of inhibitors for the treatment of liver cancer. So far, however, there are no effective drugs targeting VEGFR-2 to achieve complete treatment of liver cancer. In this study, we employed molecular docking, molecular dynamics simulations, molecular mechanics generalized Born surface area (MM-GBSA) method, quantum mechanics/molecular mechanics (QM/MM) calculations and steered molecular dynamics simulations to discover the potential inhibitors from COCONUT database targeting VEGFR-2.
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