ArticleClinical Medicine Insights. Oncology2026
Proposing an Optimized Prediction Model for Pancreatic Cancer Based on Mendelian Randomization Analysis of Fibrinogen Levels and Urinary Protein Excretion Rate.
Article in Clinical Medicine Insights. Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
Background: An ongoing debate exists on the relationship between fibrinogen levels, urinary albumin excretion (UAE), and pancreatic ductal adenocarcinoma (PDAC), as demonstrated by clinical data of patients with benign and malignant pancreatic tumors. Methods: FinnGen and EMBL-EBI provided data on single-nucleotide polymorphisms associated with fibrinogen levels, UAE, and PDAC. To examine exposure-outcome relationships, weighted median, MR-Egger, and inverse variance weighted methods were employed. Heterogeneity and horizontal pleiotropy were evaluated using Cochran's Q test and MR-Egger intercept analysis, respectively. The robustness of the Mendelian randomization (MR) analysis results was assessed using a leave-one-out sensitivity analysis. Clinical information, including sex, age, tumor location, pathological diagnosis, UAE level, fibrinogen level, and serum carbohydrate antigen 19-9 (CA19-9) level, was collected from patients with pancreatic malignant tumors at Peking Union Medical College Hospital from 2019 to 2024. Results: Fibrinogen levels and PDAC exhibited a strong positive causal association according to MR analysis (95% confidence interval [CI]: 1.630 to 8.753; Conclusion: This study demonstrated the potential of fibrinogen levels and UAE as biomarkers of pancreatic malignancy through MR and clinical data validation. These metrics significantly improved the prediction of pancreatic cancer when used in combination with CA19-9 levels. In addition, this study proposes a mechanism for fibrinogen levels and UAE in PDAC involving SLC22A4 and FMO4.
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