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

William H Delaney1, Sara A Faulkner2,3,4,5,6, Wilbur A Lam2,3,4,5,6

  • 1Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA.

Materials Today. Advances
|May 20, 2026
PubMed

Insights

Organ-on-Chip technology revolutionizes Peripheral Nerve Sheath Tumor (PNST) research by accurately modeling the complex tumor-nerve-immune microenvironment. This approach accelerates the discovery of personalized therapeutics for challenging PNSTs.

Area of Science:

  • Biomedical Engineering
  • Oncology
  • Neuroscience

Background:

  • Peripheral Nerve Sheath Tumors (PNSTs) require complex models of the nerve-tumor-immune microenvironment.
  • Current in vitro and animal models lack physiological relevance for intercellular and inter-organ communication.
  • This limits the discovery of effective PNST therapeutics.

Purpose of the Study:

  • To review the development of advanced Organ-on-Chip (OoC) systems for modeling PNSTs.
  • To highlight the potential of OoC technology in revolutionizing PNST research.
  • To emphasize the role of OoC in accelerating therapeutic discovery and personalized medicine for PNSTs.

Main Methods:

  • Development of microengineered platforms integrating human cells with fluidic and mechanical cues.
  • Creation of Tumor-Nerve-Immune-on-Chip systems using patient-derived Schwann cells, immune components, and microvasculature.
  • Real-time, quantitative monitoring of tissue dynamics within OoC platforms.

Main Results:

  • Advanced OoC systems accurately recapitulate the PNST microenvironment.
  • These systems enable precise integration of cellular and physiological cues.
  • OoC platforms facilitate real-time monitoring of complex biological interactions.

Conclusions:

  • Organ-on-Chip technology offers a paradigm shift for PNST research.
  • OoC adoption enables a predictive and individualized experimental framework.
  • This technology accelerates therapeutic discovery and personalized drug prediction for PNSTs.

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