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Background: Insulin resistance is a hypothesised biological mechanism linking obesity with prostate cancer (PCa) death. Data in support of this hypothesis is limited.
Methods: We included 259,884 men from eight European cohorts, with 11,760 incident PCa's and 1784 PCa deaths during follow-up. We used the triglyceride-glucose (TyG) index as indicator of insulin resistance. We analysed PCa cases with follow-up from PCa diagnosis, and the full cohort with follow-up from the baseline cancer-free state, thus incorporating both PCa incidence and death. We calculated hazard ratios (HR) and the proportion of the total effect of body mass index (BMI) on PCa death mediated through TyG index.
Results: In the PCa-case-only analysis, baseline TyG index was positively associated with PCa death (HR per 1-standard deviation: 1.11, 95% confidence interval (CI); 1.01-1.22), and mediated a substantial proportion of the baseline BMI effect on PCa death (HR per 5-kg/m BMI: 1.24; 1.14-1.35, of which 28%; 4%-52%, mediated). In contrast, in the full cohort, the TyG index was not associated with PCa death (HR: 1.03; 0.94-1.13), hence did not substantially mediate the effect of BMI on PCa death.
Conclusions: Insulin resistance could be an important pathway through which obesity accelerates PCa progression to death.
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http://dx.doi.org/10.1038/s41416-023-02526-1 | DOI Listing |
Mol Oncol
September 2025
Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA.
Prostate cancer (PCa) is the second most lethal cancer in men in the US. African American (AA) men have twice the incidence and death rate of European American (EA) men. Advanced PCa shows increased expression and activity of the DNA damage/repair pathway enzyme, poly (ADP-ribose) polymerase 1 (PARP1).
View Article and Find Full Text PDFJ Mol Graph Model
September 2025
Department of Physics, Indian Institute of Technology (Indian Schools of Mines) Dhanbad, Dhanbad, 826004, Jharkhand, India. Electronic address:
Parkinson's disease (PD) is marked by the aggregation of α-syn protein and its mutant forms, such as A30P, A53T, and E46K, which make the protein more prone to misfolding and aggregation, leading to neuronal cell death. This study explores the potential of Diosgenin, a phytoconstituent identified through ADMET predictions, to inhibit α-syn aggregation at both extracellular (0.145 M) and intracellular (0.
View Article and Find Full Text PDFInt Urol Nephrol
September 2025
Portsmouth Hospitals, University NHS Trust, Portsmouth, UK.
Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new cases and 375,304 deaths reported globally in 2020. Current diagnostic approaches, such as prostate-specific antigen (PSA) testing and trans-rectal ultrasound (TRUS)-guided biopsies, are often Limited by low specificity and accuracy.
View Article and Find Full Text PDFInt J Gynaecol Obstet
September 2025
Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Background: Gynecologic cancers, including cervical, ovarian, and endometrial cancers, remain a significant global health challenge. In 2022, 9 175 141 new cancer cases were reported among females, with 1 473 427 (16.1%) attributed to gynecologic cancers, reflecting an incidence rate of 30.
View Article and Find Full Text PDFEBioMedicine
August 2025
Department of Neurosurgery and Oncology, Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, 1650 Orleans St., Baltimore, MD, 21231, USA; Johns Hopkins All Children's Hospital, 600 5th St. South, St. Petersburg, FL, 33701, USA. Electronic address:
Background: Prostate cancer (PCa) is one of the leading causes of cancer death in men. While prostate-specific antigen (PSA) testing is widely used for screening, its diagnostic accuracy is limited, often failing to distinguish between benign and malignant prostate conditions, underscoring the need for novel biomarkers with improved diagnostic performance. This study aimed to identify and validate a panel of urinary RNA biomarkers with improved diagnostic accuracy for PCa.
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