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μCP- and DLP-Based 3D Bioprinting for Liver Tumor Microenvironment Construction

Anping Wu, Wenbo Li, Jincheng Hu, Yanting Liu, Xinyang Zhang, Zhiqiang Zheng, Yaozhen Hou, Huaping Wang*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The in vitro reconstruction of an authentic liver tumor microenvironment holds significant promise for drug screening and clinical research. However, current 3D tumor models, such as those cultured in U96-well plates or via bioprinting, exhibit limitations in recapitulating dynamic cell-matrix interactions. This study presents a stepwise fabrication approach: liver tumor cells are first cultured via microcontact printing to form spheroids, followed by digital micromirror device-based microfluidic channel photopolymerization to encapsulate the spheroids within a tumor-stromal compartment, thereby constructing a physiologically relevant liver tumor microenvironment. This model enables systematic investigation of tumor-stroma crosstalk and high-throughput anticancer drug screening, providing a controllable in vitro platform for precision oncology and metastatic mechanism analysis. © 2025 IEEE.
Original languageEnglish
Title of host publication2025 IEEE International Conference on Cyborg and Bionic Systems (CBS)
PublisherIEEE
Pages43-48
ISBN (Electronic)9798331597429
ISBN (Print)979-8-3315-9743-6
DOIs
Publication statusPublished - 2025
Event2025 IEEE International Conference on Cyborg and Bionic Systems (CBS 2025) - Beijing, China
Duration: 17 Oct 202519 Oct 2025

Publication series

NameIEEE International Conference on Cyborg and Bionic Systems, CBS

Conference

Conference2025 IEEE International Conference on Cyborg and Bionic Systems (CBS 2025)
PlaceChina
CityBeijing
Period17/10/2519/10/25

Funding

This research was supported by the National Natural Science Foundation of China under Grant 62088101, and Grant U22A2064; in part by the Beijing Natural Science Foundation under Grant L242023, and Grant 4232055; and in part by the Science and Technology Innovation Program of Beijing Institute of Technology under Grant 2024CX06008.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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