Suppr超能文献

癌症转移至肝脏的整合微生理组织系统。

Integrative microphysiological tissue systems of cancer metastasis to the liver.

机构信息

Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261, USA; VA Pittsburgh Healthcare System, Pittsburgh, PA 15213, USA; UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.

出版信息

Semin Cancer Biol. 2021 Jun;71:157-169. doi: 10.1016/j.semcancer.2020.06.010. Epub 2020 Jun 21.

Abstract

The liver is the most commonly involved organ in metastases from a wide variety of solid tumors. The use of biologically and cellularly complex liver tissue systems have shown that tumor cell behavior and therapeutic responses are modulated within the liver microenvironment and in ways distinct from the behaviors in the primary locations. These microphysiological systems have provided unexpected and powerful insights into the tumor cell biology of metastasis. However, neither the tumor nor the liver exist in an isolated tissue situation, having to function within a complete body and respond to systemic events as well as those in other organs. To examine the influence of one organ on the function of other tissues, microphysiological systems are being linked. Herein, we discuss extending this concept to tumor metastases by integrating complex models of the primary tumor with the liver metastatic environment. In addition, inflammatory organs and the immune system can be incorporated into these multi-organ systems to probe the effects on tumor behavior and cancer treatments.

摘要

肝脏是多种实体瘤转移最常累及的器官。使用具有生物和细胞复杂性的肝脏组织系统表明,肿瘤细胞的行为和治疗反应在肝脏微环境中受到调节,其方式与原发部位的行为不同。这些微生理系统为转移的肿瘤细胞生物学提供了意想不到的、强大的见解。然而,肿瘤和肝脏都不是孤立的组织,它们必须在完整的体内发挥功能,并对全身事件以及其他器官的事件做出反应。为了研究一个器官对其他组织功能的影响,正在将微生理系统连接起来。在这里,我们讨论通过将原发性肿瘤的复杂模型与肝脏转移环境相结合,将这一概念扩展到肿瘤转移。此外,还可以将炎症器官和免疫系统纳入这些多器官系统,以研究其对肿瘤行为和癌症治疗的影响。

相似文献

1
Integrative microphysiological tissue systems of cancer metastasis to the liver.癌症转移至肝脏的整合微生理组织系统。
Semin Cancer Biol. 2021 Jun;71:157-169. doi: 10.1016/j.semcancer.2020.06.010. Epub 2020 Jun 21.
5
Tumor-on-chip modeling of organ-specific cancer and metastasis.器官特异性癌症和转移的芯片上肿瘤模型。
Adv Drug Deliv Rev. 2021 Aug;175:113798. doi: 10.1016/j.addr.2021.05.008. Epub 2021 May 18.
8
Engineering Microphysiological Immune System Responses on Chips.工程化芯片上的微生理免疫系统反应
Trends Biotechnol. 2020 Aug;38(8):857-872. doi: 10.1016/j.tibtech.2020.01.003. Epub 2020 Feb 18.
9
Modeling the Complexity of the Metastatic Niche Ex Vivo.体外模拟转移龛的复杂性。
Methods Mol Biol. 2021;2258:221-239. doi: 10.1007/978-1-0716-1174-6_15.

本文引用的文献

3
Microphysiological System Design: Simplicity Is Elegance.微生理系统设计:简约即优雅。
Curr Opin Biomed Eng. 2020 Mar;13:94-102. doi: 10.1016/j.cobme.2019.12.010. Epub 2020 Jan 3.
5
Cancer statistics, 2020.癌症统计数据,2020 年。
CA Cancer J Clin. 2020 Jan;70(1):7-30. doi: 10.3322/caac.21590. Epub 2020 Jan 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验