University of Oulu

Gnatowski, P., Piłat, E., Kucińska-Lipka, J., Saeb, M. R., Hamblin, M. R., & Mozafari, M. (2023). Recent advances in 3D bioprinted tumor models for personalized medicine. Translational Oncology, 37, 101750.

Recent advances in 3D bioprinted tumor models for personalized medicine

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Author: Gnatowski, Przemysław1; Piłat, Edyta1; Kucińska-Lipka, Justyna1;
Organizations: 1Department of Polymer Technology, Faculty of Chemistry, Gdańsk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland
2Laser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein 2028, South Africa
3Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 10.9 MB)
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Language: English
Published: Elsevier, 2023
Publish Date: 2023-10-10


Cancerous tumors are among the most fatal diseases worldwide, claiming nearly 10 million lives in 2020. Due to their complex and dynamic nature, modeling tumors accurately is a challenging task. Current models suffer from inadequate translation between in vitro and in vivo results, primarily due to the isotropic nature of tumors and their microenvironment’s relationship. To address these limitations, hydrogel-based 3D bioprinting is emerging as a promising approach to mimic cancer development and behavior. It provides precise control over individual elements’ size and distribution within the cancer microenvironment and enables the use of patient-derived tumor cells, rather than commercial lines. Consequently, hydrogel bioprinting is expected to become a state-of-the-art technique for cancer research. This manuscript presents an overview of cancer statistics, current modeling methods, and their limitations. Additionally, we highlight the significance of bioprinting, its applications in cancer modeling, and the importance of hydrogel selection. We further explore the current state of creating models for the five deadliest cancers using 3D bioprinting. Finally, we discuss current trends and future perspectives on the clinical use of cancer modeling using hydrogel bioprinting.

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Series: Translational oncology
ISSN: 1944-7124
ISSN-E: 1936-5233
ISSN-L: 1944-7124
Volume: 37
Article number: 101750
DOI: 10.1016/j.tranon.2023.101750
Type of Publication: A1 Journal article – refereed
Field of Science: 3122 Cancers
318 Medical biotechnology
Copyright information: © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (