#AI Reads Urine# A noninvasive urinary microRNA-based assay for the detection of pancreatic cancer from early to late stages: a case control study
Published 09 January, 2025
This study developed and validated a noninvasive urinary extracellular vesicle miRNA-based assay for pancreatic cancer detection. Urine samples were collected from 153 pancreatic cancer patients (99 in training set and 54 in test set) from five hospitals and 309 non-cancer participants (216 in training set and 93 in test set) from two sites. miRNAs were extracted from enriched extracellular vesicles. Machine learning models were built and tested. The assay showed good performance with high AUC values (0.972 in training set and 0.963 in test set). Sensitivities for pancreatic cancer detection were 93.9% (training set) and 77.8% (test set) overall, and 97.0% (training set) and 77.8% (test set) for early-stage cancer. Specificities were 91.7% (training set) and 95.7% (test set). Compared to CA19-9, the miRNA-based assay had better performance, especially in early-stage detection. Functional enrichment analysis suggested urinary miRNAs reflect signals from tumor and microenvironment. The study has limitations but holds promise for pancreatic cancer screening and management.
EClinicalMedicine. 2024 Nov 12:78:102936. doi: 10.1016/j.eclinm.2024.102936. eCollection 2024 Dec. https://www.sciencedirect.com/science/article/pii/S2589537024005157
Youhe Gao
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