Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	115920
Country	Germany

Category	Oncology
Manuscript Type	Letter to the Editor
Article Title	Explainable artificial intelligence helps early cancer diagnosis via extracellular vesicle long RNA
Manuscript Source	Invited Manuscript
All Author List	Luis Augusto Eijy Nagai and Hui-Heng Jeremy Lin
Funding Agency and Grant Number
Corresponding Author	Luis Augusto Eijy Nagai, Associate Research Scientist, PhD, Institute for Biostatistics and Informatics in Medicine and Ageing Research, University Medical Center Rostock, University of Rostock, Ernst-Heydemann-Strasse 8, Rostock 18057, Mecklenburg-Vorpommern, Germany. eijynagai@gmail.com
Key Words	Pancreatic ductal adenocarcinoma; Liquid biopsy; Extracellular vesicles; Long RNA; Explainable artificial intelligence; Machine learning
Core Tip	Interpretable machine learning applied to extracellular vesicle long ribonucleic acid profiles is a promising direction for earlier pancreatic cancer detection and for differentiating pancreatic ductal adenocarcinoma from chronic pancreatitis. To accelerate clinical readiness, reported discrimination should be benchmarked against standard diagnostic pathways, validated across multiple centers with standardized pre-analytical processing, and accompanied by robustness checks that confirm explanation stability under realistic perturbations.
Citation	Nagai LAE, Lin HHJ. Explainable artificial intelligence helps early cancer diagnosis via extracellular vesicle long RNA. World J Gastrointest Oncol 2026; In press

Received	2025-10-29 05:07
Peer-Review Started	2025-10-29 05:07
First Decision by Editorial Office Director	2025-12-09 06:57
Return for Revision	2025-12-09 06:57
Revised	2025-12-23 02:56
Publication Fee Transferred
Second Decision by Editor	2026-02-03 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-03 10:58
Articles in Press	2026-02-03 10:58
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5204 (online)
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