Gastric cancer organoids and their convergence in engineering approaches

Gastric cancer research has rapidly progressed due to interdisciplinary advances in stem cell biology and bioengineering. Gastric organoid models, particularly those derived from adult stem cells, have emerged as powerful tools that recapitulate the cellular complexity of the human stomach. This review highlights the development of various gastric organoid platforms, with a specific focus on the convergence of engineering strategies to overcome the limitations of conventional organoid systems. We explore how CRISPR-based functional genomics, matrix innovations, co-culture systems, microphysiological systems (MPS), and big data integration are collectively enhancing organoid models. Furthermore, we examine how artificial intelligence may refine the clinical relevance and precision of gastric organoid models. By assessing both current capabilities and future directions, this review offers a perspective on how gastric organoid systems may reflect human physiology more accurately and improve therapeutic outcomes.

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Publication Details

Journal
FEBS Letters
Published
2026-01-14
DOI
https://doi.org/10.1002/1873-3468.70272
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00
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article

Gastric cancer organoids and their convergence in engineering approaches

Woojung Shin, Ji‐Hyun Lee, So Hee Kim, Hye‐Jin Jeong et al.
FEBS Letters
Cancer Cells and Metastasis
article

Gastric cancer organoids and their convergence in engineering approaches

Woojung Shin, Ji‐Hyun Lee, So Hee Kim, Hye‐Jin Jeong, S-K Lim, Bon‐Kyoung Koo
article en

Abstract

Gastric cancer research has rapidly progressed due to interdisciplinary advances in stem cell biology and bioengineering. Gastric organoid models, particularly those derived from adult stem cells, have emerged as powerful tools that recapitulate the cellular complexity of the human stomach. This review highlights the development of various gastric organoid platforms, with a specific focus on the convergence of engineering strategies to overcome the limitations of conventional organoid systems. We explore how CRISPR-based functional genomics, matrix innovations, co-culture systems, microphysiological systems (MPS), and big data integration are collectively enhancing organoid models. Furthermore, we examine how artificial intelligence may refine the clinical relevance and precision of gastric organoid models. By assessing both current capabilities and future directions, this review offers a perspective on how gastric organoid systems may reflect human physiology more accurately and improve therapeutic outcomes.

FEBS Letters
Pohang University of Science and Technology (KR), Korea Advanced Institute of Science and Technology (KR), Korea Institute of Brain Science (KR), Institute for Basic Science (KR), Regenerative Medicine Institute (MX), Sungkyunkwan University (KR)
Openalex Percentile: Top 87%
Cancer Cells and Metastasis
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Gastric cancer organoids and their convergence in engineering approaches — Woojung Shin, Ji‐Hyun Lee, et al. · FEBS Letters (2026) | TGRS Research Map | TGRS