Peripheral nerve sheath tumors-on-a-chip: Next-generation platforms for mechanistic and therapeutic studies

Recapitulation of the complex nerve–tumor–immune microenvironment is critical for understanding Peripheral Nerve Sheath Tumors (PNSTs). Conventional in vitro models and animal systems often struggle to model crucial intercellular and inter-organ communication with full physiological relevance, creating a bottleneck in discovering effective therapeutics. Organ-on-Chip (OoC) technologies offer a paradigm-shifting solution. These microengineered platforms precisely integrate human cell biology with controllable fluidic and mechanical cues to replicate tissue- and organ-level physiology, enabling real-time, quantitative monitoring of tissue dynamics. This review posits that OoC technology is poised to revolutionize PNST research. In this review, we summarize the development of advanced Tumor-Nerve-Immune-on-Chip systems that integrate patient-derived Schwann cells, immune components, and functional microvasculature. These systems will accurately model PNSTs. Adoption of OoC will enable a predictive and individualized experimental framework, accelerating therapeutic discovery and allowing for personalized drug prediction for these challenging diseases. • Defining the specific requirements and design space of next-gen PNST-on-chip platforms. • Organ-on-Chip technology mimics complex human nerve tumor environments. • Patient-specific models accelerate personalized drug discovery.

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Publication Details

Journal
Materials Today Advances
Published
2026-04-16
DOI
https://doi.org/10.1016/j.mtadv.2026.100770
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Peripheral nerve sheath tumors-on-a-chip: Next-generation platforms for mechanistic and therapeutic studies

Kecheng Lei, William H. Delaney, Nicholas M. Boulis, Yongzhi Qiu et al.
Materials Today Advances
Neuroscience and Neural Engineering
article

Peripheral nerve sheath tumors-on-a-chip: Next-generation platforms for mechanistic and therapeutic studies

Kecheng Lei, William H. Delaney, Nicholas M. Boulis, Yongzhi Qiu, Wilbur A. Lam, Sara A. Faulkner
article en

Abstract

Recapitulation of the complex nerve–tumor–immune microenvironment is critical for understanding Peripheral Nerve Sheath Tumors (PNSTs). Conventional in vitro models and animal systems often struggle to model crucial intercellular and inter-organ communication with full physiological relevance, creating a bottleneck in discovering effective therapeutics. Organ-on-Chip (OoC) technologies offer a paradigm-shifting solution. These microengineered platforms precisely integrate human cell biology with controllable fluidic and mechanical cues to replicate tissue- and organ-level physiology, enabling real-time, quantitative monitoring of tissue dynamics. This review posits that OoC technology is poised to revolutionize PNST research. In this review, we summarize the development of advanced Tumor-Nerve-Immune-on-Chip systems that integrate patient-derived Schwann cells, immune components, and functional microvasculature. These systems will accurately model PNSTs. Adoption of OoC will enable a predictive and individualized experimental framework, accelerating therapeutic discovery and allowing for personalized drug prediction for these challenging diseases. • Defining the specific requirements and design space of next-gen PNST-on-chip platforms. • Organ-on-Chip technology mimics complex human nerve tumor environments. • Patient-specific models accelerate personalized drug discovery.

Materials Today AdvancesVol. 30
Georgia Institute of Technology (US), Emory University (US), The Wallace H. Coulter Department of Biomedical Engineering (US), Children's Healthcare of Atlanta (US)
U.S. Department of Health and Human Services, Georgia Clinical and Translational Science Alliance, National Institutes of Health, Health Resources and Services Administration, National Institute of Biomedical Imaging and Bioengineering, Maternal and Child Health Bureau
Openalex Percentile: Top 20%
Neuroscience and Neural Engineering
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