Advances in In Vitro Modeling of Cancer‐Stromal Interactions: From Fundamental Insights to Translational Applications

K Kenny Zhuoran Wu (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) B Bingyi Zeng (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) D Dong Hua Seah (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) I Ian Zi Rui Ng (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) R Rockie Haiyao Ding (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) T Tianyi Zhang M Madhumathi Kalaichelvan (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) R Ruochii You (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore) E Eliza Li Shan Fong (Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore)

Abstract

Abstract Accurate in vitro modeling of the tumor microenvironment (TME) is essential for advancing our understanding of cancer biology and for developing effective anti‐cancer therapeutics. Context‐dependent and patient‐specific, the dynamic interactions between cancer cells and stromal elements significantly affect tumor progression and treatment response. Recent advances in biomaterials, microdevices, and molecular analysis techniques have facilitated the development of in vitro tumor models that better replicate these cancer‐stromal interactions. In turn, these models have deepened the understanding of cancer biology, leading to the discovery of new prognostic markers and establishing preclinical platforms that more reliably predict clinical outcomes. However, challenges persist in fully capturing the immense complexity of the TME and translating these models for real clinical impact. In this review, key design principles for creating physiologically relevant tumor models are first described, then the latest advances in tumor modeling that have contributed to new biological insights and progress in drug development are discussed.

Article Details

Volume / Issue Vol. 37, Issue 50
Published December 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (9)

K

Kenny Zhuoran Wu

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

B

Bingyi Zeng

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

D

Dong Hua Seah

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

I

Ian Zi Rui Ng

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

R

Rockie Haiyao Ding

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

T

Tianyi Zhang

M

Madhumathi Kalaichelvan

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

R

Ruochii You

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore

E

Eliza Li Shan Fong

Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore