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泌尿外科恶性肿瘤的生物打印研究模型

Bioprinted research models of urological malignancy.

作者信息

Wang Guanyi, Mao Xiongmin, Wang Wang, Wang Xiaolong, Li Sheng, Wang Zijian

机构信息

Department of Urology Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center Zhongnan Hospital of Wuhan University Wuhan China.

Department of Biomedical Engineering and Hubei Province Key Laboratory of Allergy and Immune Related Disease TaiKang Medical School (School of Basic Medical Sciences) Wuhan University Wuhan China.

出版信息

Exploration (Beijing). 2024 Feb 20;4(4):20230126. doi: 10.1002/EXP.20230126. eCollection 2024 Aug.

DOI:10.1002/EXP.20230126
PMID:39175884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11335473/
Abstract

Urological malignancy (UM) is among the leading threats to health care worldwide. Recent years have seen much investment in fundamental UM research, including mechanistic investigation, early diagnosis, immunotherapy, and nanomedicine. However, the results are not fully satisfactory. Bioprinted research models (BRMs) with programmed spatial structures and functions can serve as powerful research tools and are likely to disrupt traditional UM research paradigms. Herein, a comprehensive review of BRMs of UM is presented. It begins with a brief introduction and comparison of existing UM research models, emphasizing the advantages of BRMs, such as modeling real tissues and organs. Six kinds of mainstream bioprinting techniques used to fabricate such BRMs are summarized with examples. Thereafter, research advances in the applications of UM BRMs, such as culturing tumor spheroids and organoids, modeling cancer metastasis, mimicking the tumor microenvironment, constructing organ chips for drug screening, and isolating circulating tumor cells, are comprehensively discussed. At the end of this review, current challenges and future development directions of BRMs and UM are highlighted from the perspective of interdisciplinary science.

摘要

泌尿系统恶性肿瘤（UM）是全球医疗保健面临的主要威胁之一。近年来，在UM基础研究方面投入了大量资金，包括机制研究、早期诊断、免疫治疗和纳米医学。然而，结果并不完全令人满意。具有程序化空间结构和功能的生物打印研究模型（BRMs）可以作为强大的研究工具，并可能颠覆传统的UM研究范式。在此，对UM的BRMs进行了全面综述。首先简要介绍和比较了现有的UM研究模型，强调了BRMs的优势，如对真实组织和器官进行建模。总结了用于制造此类BRMs的六种主流生物打印技术，并举例说明。此后，全面讨论了UM BRMs在培养肿瘤球体和类器官、模拟癌症转移、模拟肿瘤微环境、构建用于药物筛选的器官芯片以及分离循环肿瘤细胞等方面的研究进展。在本综述的结尾，从跨学科科学的角度强调了BRMs和UM当前面临的挑战以及未来的发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/8162e3497b49/EXP2-4-20230126-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/88f0023b7308/EXP2-4-20230126-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/0aa273b41621/EXP2-4-20230126-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/aa712acee42a/EXP2-4-20230126-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/dc9bdd810557/EXP2-4-20230126-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/e1f17d987c4d/EXP2-4-20230126-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/b84d63d3dc61/EXP2-4-20230126-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/d0365f92a425/EXP2-4-20230126-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/df4ca35f5536/EXP2-4-20230126-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/8162e3497b49/EXP2-4-20230126-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/88f0023b7308/EXP2-4-20230126-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/716ff705270a/EXP2-4-20230126-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/0aa273b41621/EXP2-4-20230126-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/aa712acee42a/EXP2-4-20230126-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/dc9bdd810557/EXP2-4-20230126-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/e1f17d987c4d/EXP2-4-20230126-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/b84d63d3dc61/EXP2-4-20230126-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/d0365f92a425/EXP2-4-20230126-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/df4ca35f5536/EXP2-4-20230126-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c4/11335473/8162e3497b49/EXP2-4-20230126-g010.jpg

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