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转移性器官趋向性的调控。

Regulation of metastatic organotropism.

作者信息

Dunbar Karen J, Efe Gizem, Cunningham Katherine, Esquea Emily, Navaridas Raul, Rustgi Anil K

机构信息

Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA.

Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA.

出版信息

Trends Cancer. 2025 Mar;11(3):216-231. doi: 10.1016/j.trecan.2024.11.012. Epub 2024 Dec 27.

DOI:10.1016/j.trecan.2024.11.012
PMID:39732596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11903188/
Abstract

Metastasis is responsible for most cancer-related deaths. Different cancers have their own preferential sites of metastases, a phenomenon termed metastatic organotropism. The mechanisms underlying organotropism are multifactorial and include the generation of a pre-metastatic niche (PMN), metastatic homing, colonization, dormancy, and metastatic outgrowth. Historically, studies of metastatic organotropism have been limited by a lack of models allowing direct comparison of cells exhibiting different patterns of tropism. However, new innovative models and large-scale sequencing efforts have propelled organotropism research. Herein, we summarize the recent discoveries in metastatic organotropism regulation, focusing on lung, liver, brain, and bone tropism. We discuss how emerging technologies are continuing to improve our ability to model and, hopefully, predict and treat organotropism.

摘要

转移是导致大多数癌症相关死亡的原因。不同的癌症有其各自偏好的转移部位,这一现象被称为转移嗜器官性。转移嗜器官性的潜在机制是多因素的,包括前转移微环境(PMN)的形成、转移归巢、定植、休眠和转移灶生长。从历史上看,转移嗜器官性的研究一直受到缺乏模型的限制,这些模型无法直接比较表现出不同嗜性模式的细胞。然而,新的创新模型和大规模测序工作推动了嗜器官性研究。在此,我们总结了转移嗜器官性调控方面的最新发现,重点关注肺、肝、脑和骨嗜性。我们讨论了新兴技术如何持续提高我们对嗜器官性进行建模的能力,以及有望预测和治疗嗜器官性的能力。

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本文引用的文献

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Proc Natl Acad Sci U S A. 2024 Oct 15;121(42):e2405257121. doi: 10.1073/pnas.2405257121. Epub 2024 Oct 7.
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Pre-metastatic niche: formation, characteristics and therapeutic implication.转移前生态位:形成、特征及治疗意义
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PD-L1 and VEGF dual blockade enhances anti-tumor effect on brain metastasis in hematogenous metastasis model.PD-L1 和 VEGF 双重阻断增强血源性转移模型中脑转移的抗肿瘤作用。
Clin Exp Metastasis. 2024 Dec;41(6):909-924. doi: 10.1007/s10585-024-10309-y. Epub 2024 Sep 5.
4
Spatially Resolved Niche and Tumor Microenvironmental Alterations in Gastric Cancer Peritoneal Metastases.胃癌腹膜转移肿瘤微环境和龛位的空间分辨改变
Gastroenterology. 2024 Dec;167(7):1384-1398.e4. doi: 10.1053/j.gastro.2024.08.007. Epub 2024 Aug 13.
5
Artificial Intelligence in Detection, Management, and Prognosis of Bone Metastasis: A Systematic Review.人工智能在骨转移瘤的检测、管理及预后评估中的应用:一项系统综述
Cancers (Basel). 2024 Jul 29;16(15):2700. doi: 10.3390/cancers16152700.
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MicroRNA-522-3p promotes brain metastasis in non-small cell lung cancer by targeting Tensin 1 and modulating blood-brain barrier permeability.微小 RNA-522-3p 通过靶向 Tensin 1 并调节血脑屏障通透性促进非小细胞肺癌脑转移。
Exp Cell Res. 2024 Sep 1;442(1):114199. doi: 10.1016/j.yexcr.2024.114199. Epub 2024 Aug 3.
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AI models predicting breast cancer distant metastasis using LightGBM with clinical blood markers and ultrasound maximum diameter.使用 LightGBM 结合临床血液标志物和超声最大直径预测乳腺癌远处转移的 AI 模型。
Sci Rep. 2024 Jul 6;14(1):15561. doi: 10.1038/s41598-024-66658-x.
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