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基于组织工程中基质自组装方法构建的人体器官特异性 3D 癌症模型用于实体瘤研究

Human Organ-Specific 3D Cancer Models Produced by the Stromal Self-Assembly Method of Tissue Engineering for the Study of Solid Tumors.

机构信息

Centre de Recherche du CHU de Québec-Université Laval, Axe Médecine Régénératrice, Québec, QC, Canada.

Centre de Recherche en Organogénèse Expérimentale de l'Université Laval/LOEX, Québec, QC, Canada.

出版信息

Biomed Res Int. 2020 Apr 13;2020:6051210. doi: 10.1155/2020/6051210. eCollection 2020.

DOI:10.1155/2020/6051210
PMID:32352002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7178531/
Abstract

Cancer research has considerably progressed with the improvement of study models, helping to understand the key role of the tumor microenvironment in cancer development and progression. Over the last few years, complex 3D human cell culture systems have gained much popularity over models, as they accurately mimic the tumor microenvironment and allow high-throughput drug screening. Of particular interest, human 3D tissue constructs, produced by the self-assembly method of tissue engineering, have been successfully used to model the tumor microenvironment and now represent a very promising approach to further develop diverse cancer models. In this review, we describe the importance of the tumor microenvironment and present the existing cancer models generated through the self-assembly method of tissue engineering. Lastly, we highlight the relevance of this approach to mimic various and complex tumors, including basal cell carcinoma, cutaneous neurofibroma, skin melanoma, bladder cancer, and uveal melanoma.

摘要

随着研究模型的改进,癌症研究取得了显著进展,有助于理解肿瘤微环境在癌症发展和进展中的关键作用。在过去的几年中,复杂的三维人体细胞培养系统在模型方面得到了广泛的关注,因为它们能够准确模拟肿瘤微环境,并允许高通量药物筛选。特别值得关注的是,通过组织工程的自组装方法制备的人体 3D 组织构建体已成功用于模拟肿瘤微环境,现在代表了进一步开发多种癌症模型的非常有前途的方法。在这篇综述中,我们描述了肿瘤微环境的重要性,并介绍了通过组织工程的自组装方法生成的现有癌症模型。最后,我们强调了这种方法模拟各种复杂肿瘤的相关性,包括基底细胞癌、皮肤神经纤维瘤、皮肤黑色素瘤、膀胱癌和葡萄膜黑色素瘤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/22974bd96e4f/BMRI2020-6051210.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/9bab1aa6d764/BMRI2020-6051210.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/6bd3d4a1df10/BMRI2020-6051210.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/8fafa7f6ed2c/BMRI2020-6051210.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/d990d7fd044c/BMRI2020-6051210.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/278cfa649672/BMRI2020-6051210.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/22974bd96e4f/BMRI2020-6051210.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/9bab1aa6d764/BMRI2020-6051210.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/6bd3d4a1df10/BMRI2020-6051210.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/8fafa7f6ed2c/BMRI2020-6051210.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/d990d7fd044c/BMRI2020-6051210.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/278cfa649672/BMRI2020-6051210.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c66/7178531/22974bd96e4f/BMRI2020-6051210.006.jpg

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