Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Sep 15, 2026; 18(9): 117360
Published online Sep 15, 2026. doi: 10.4251/wjgo.117360
Published online Sep 15, 2026. doi: 10.4251/wjgo.117360
Figure 2 Future multi-omics integration strategy for pancreatic ductal adenocarcinoma liquid biopsy.
Created with Picdoc. The integration of extracellular vesicle long RNA, circulating tumor DNA mutations, extracellular vesicle-derived proteins (GPC1 and CD63), and metabolic profiles enables comprehensive molecular characterization. Artificial intelligence-driven fusion of these layers, combined with radiomic features from medical imaging, promises enhanced diagnostic accuracy and minimal residual disease monitoring. EV: Extracellular vesicle; EV-lRNA: Extracellular vesicle long RNA; ctDNA: Circulating tumor DNA; AI: Artificial intelligence; MRD: Minimal residual disease.
- Citation: Yuan C, Hu R, Dang SC. Interpretable extracellular vesicle long RNA framework for noninvasive pancreatic cancer diagnosis: A multi-omics artificial intelligence-driven liquid biopsy paradigm. World J Gastrointest Oncol 2026; 18(9): 117360
- URL: https://www.wjgnet.com/1948-5204/full/v18/i9/117360.htm
- DOI: https://dx.doi.org/10.4251/wjgo.117360