Exploring the Role of Extracellular Vesicles in Pancreatic and Hepatobiliary Cancers: Advances Through Artificial Intelligence

Gastrointestinal (GI) cancers constitute an umbrella term for a wide variety of malignancies that are located in the digestive tract (esophageal, gastric, small and large intestine, anus, liver, gallbladder, and pancreas), with 25% of total cancers and 35% of cancer-related deaths being attributed to them. An alarming trend of rising GI malignancy diagnoses, especially in younger age groups, underscores the need for discoveries in liquid-based biomarkers that facilitate both early detection and optimal disease management. Extracellular vesicles (EVs) not only constitute promising nano-sized biomarkers, but also, via bioengineering, have shown a great therapeutic potential, with artificial intelligence (AI) revolutionizing their research via the selection of the best biomarkers from omics, the recognition of pathophysiological patterns, and facilitating a faster drug-development via AI-driven EV engineering, drug delivery modeling, and target identification. In this review, we will provide a clear insight into the implementation of AI methodologies in EV-based biomarker discovery and therapeutics for pancreatic and hepatobiliary cancer.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-04
DOI
https://doi.org/10.3390/ijms27031524
Primary Topic
Extracellular vesicles in disease
Type
article
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article

Exploring the Role of Extracellular Vesicles in Pancreatic and Hepatobiliary Cancers: Advances Through Artificial Intelligence

Panagiotis Sarantis, Evangelos Koustas, Anastasios G. Kriebardis, Michalis V. Karamouzis et al.
International Journal of Molecular Sciences
Extracellular vesicles in disease
article

Exploring the Role of Extracellular Vesicles in Pancreatic and Hepatobiliary Cancers: Advances Through Artificial Intelligence

Panagiotis Sarantis, Evangelos Koustas, Anastasios G. Kriebardis, Michalis V. Karamouzis, Melanie Deutsch, Sotirios P. Fortis, Eleni Myrto Trifylli, Spilios Manolakopoulos, Nikolaos Papadopoulos, Athanasios Angelakis
article en

Abstract

Gastrointestinal (GI) cancers constitute an umbrella term for a wide variety of malignancies that are located in the digestive tract (esophageal, gastric, small and large intestine, anus, liver, gallbladder, and pancreas), with 25% of total cancers and 35% of cancer-related deaths being attributed to them. An alarming trend of rising GI malignancy diagnoses, especially in younger age groups, underscores the need for discoveries in liquid-based biomarkers that facilitate both early detection and optimal disease management. Extracellular vesicles (EVs) not only constitute promising nano-sized biomarkers, but also, via bioengineering, have shown a great therapeutic potential, with artificial intelligence (AI) revolutionizing their research via the selection of the best biomarkers from omics, the recognition of pathophysiological patterns, and facilitating a faster drug-development via AI-driven EV engineering, drug delivery modeling, and target identification. In this review, we will provide a clear insight into the implementation of AI methodologies in EV-based biomarker discovery and therapeutics for pancreatic and hepatobiliary cancer.

International Journal of Molecular SciencesVol. 27(3)
National and Kapodistrian University of Athens (GR), University of West Attica (GR), Hospital Agioi Anargyroi (GR), Institute of Molecular Medicine and Biomedical Research (GR), Amsterdam University Medical Centers (NL), Hippocration General Hospital (GR), Evangelismos Hospital (GR), University of Amsterdam (NL)
Good health and well-being
Openalex Percentile: Top 68%
Extracellular vesicles in disease
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