Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting

D Danqing Zhu W Won Joon Kim (Department of Chemical and Biological Engineering, School of Engineering The Hong Kong University of Science and Technology (HKUST) Kowloon Hong Kong SAR 999077 China) H Hyunjin Lee X Xiaoping Bao (Davidson School of Chemical Engineering Purdue University 480 Stadium Mall Drive West Lafayette IN 47906 USA) P Pilnam Kim (Department of Bio and Brain Engineering Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141 Republic of Korea)

Abstract

Abstract Cancer immunotherapy, specifically Chimeric Antigen Receptor (CAR)‐T cell therapy, represents a significant breakthrough in treating cancers. Despite its success in hematological cancers, CAR‐T exhibits limited efficacy in solid tumors, which account for more than 90% of all cancers. Solid tumors commonly present unique challenges, including antigen heterogeneity and complex tumor microenvironment (TME). To address these, efforts are being made through improvements in CAR design and the development of advanced validation platforms. While efficacy is limited, some solid tumor types, such as neuroblastoma and gastrointestinal cancers, have shown responsiveness to CAR‐T therapy in recent clinical trials. In this review, it is first examined both experimental and computational strategies, such as protein engineering coupled with machine learning, developed to enhance T cell specificity. The challenges and methods associated with T cell delivery and in vivo reprogramming in solid tumors is discussed. It is also explored the advancements in engineered organoid systems, which are emerging as high‐fidelity in vitro models that closely mimic the complex human TME and serve as a validation platform for CAR discovery. Collectively, these innovative engineering strategies offer the potential to revolutionize the next generation of CAR‐T therapy, ultimately paving the way for more effective treatments in solid tumors.

Article Details

Volume / Issue Vol. 37, Issue 23
Published June 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (5)

D

Danqing Zhu

W

Won Joon Kim

Department of Chemical and Biological Engineering, School of Engineering The Hong Kong University of Science and Technology (HKUST) Kowloon Hong Kong SAR 999077 China

H

Hyunjin Lee

X

Xiaoping Bao

Davidson School of Chemical Engineering Purdue University 480 Stadium Mall Drive West Lafayette IN 47906 USA

P

Pilnam Kim

Department of Bio and Brain Engineering Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141 Republic of Korea