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芯片上的宿主-微生物-癌症相互作用

Host-microbe-cancer interactions on-a-chip.

作者信息

Sousa Mauricio G C, Brasino Danielle S K, Krieger Madeline, Dindar Duygu A, Duhen Rebekka, Zhang Zhenzhen, Franca Cristiane Miranda, Bertassoni Luiz E

机构信息

Knight Cancer Precision Biofabrication Hub, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, United States.

Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, OR, United States.

出版信息

Front Bioeng Biotechnol. 2025 Mar 31;13:1505963. doi: 10.3389/fbioe.2025.1505963. eCollection 2025.

DOI:10.3389/fbioe.2025.1505963
PMID:40230461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11994592/
Abstract

The tumor microbiota has emerged as a pivotal contributor to a variety of cancers, impacting disease development, progression, and therapeutic resistance. Due to the complexity of the tumor microenvironment, reproducing the interactions between the microbes, tumor cells, and the immune system remains a great challenge for both and studies. To this end, significant progress has been made toward leveraging tumor-on-a-chip model systems to replicate critical hallmarks of the native disease . These microfluidic platforms offer the ability to mimic essential components of the tumor microenvironment, including controllable fluid flow conditions, manipulable extracellular matrix dynamics, and intricate 3D multi-cellular communication. The primary objective of this review is to discuss recent challenges and advances in engineering host-microbiota and tumor interactions on-a-chip. Ultimately, overcoming these obstacles will help us gain deeper insights into tumor-microbe interactions and enhance avenues for developing more effective cancer therapies.

摘要

肿瘤微生物群已成为多种癌症的关键促成因素,影响疾病的发生、发展和治疗抗性。由于肿瘤微环境的复杂性,再现微生物、肿瘤细胞和免疫系统之间的相互作用对体内和体外研究来说仍然是一个巨大的挑战。为此,在利用芯片上肿瘤模型系统来复制天然疾病的关键特征方面已经取得了重大进展。这些微流控平台能够模拟肿瘤微环境的基本组成部分,包括可控的流体流动条件、可操纵的细胞外基质动态以及复杂的三维多细胞通讯。本综述的主要目的是讨论在芯片上构建宿主-微生物群与肿瘤相互作用方面的最新挑战和进展。最终,克服这些障碍将有助于我们更深入地了解肿瘤-微生物相互作用,并增加开发更有效癌症治疗方法的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8114/11994592/8deecb153d5b/fbioe-13-1505963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8114/11994592/c2c4745ed094/fbioe-13-1505963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8114/11994592/8deecb153d5b/fbioe-13-1505963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8114/11994592/c2c4745ed094/fbioe-13-1505963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8114/11994592/8deecb153d5b/fbioe-13-1505963-g002.jpg

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本文引用的文献

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A gut-on-a-chip incorporating human faecal samples and peristalsis predicts responses to immune checkpoint inhibitors for melanoma.一种整合了人类粪便样本和蠕动功能的芯片肠道模型可预测黑色素瘤对免疫检查点抑制剂的反应。
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Human organoids with an autologous tissue-resident immune compartment.具有自体组织驻留免疫隔室的人类类器官。
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A novel membrane-on-chip guides morphogenesis for the reconstruction of the intestinal crypt-villus axis.
一种新型芯片上的膜引导形态发生以重建肠隐窝-绒毛轴。
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4
A Linkable, Polycarbonate Gut Microbiome-Distal Tumor Chip Platform for Interrogating Cancer Promoting Mechanisms.一种可链接的、聚碳酸酯的肠道微生物组-远端肿瘤芯片平台,用于研究促进癌症的机制。
Adv Sci (Weinh). 2024 Sep;11(35):e2309220. doi: 10.1002/advs.202309220. Epub 2024 Jul 18.
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Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer.多组学机器学习用于研究早发性结直肠癌中的宿主-微生物组相互作用。
NPJ Precis Oncol. 2024 Jul 17;8(1):146. doi: 10.1038/s41698-024-00647-1.
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A microfluidic co-culture model for investigating colonocytes-microbiota interactions in colorectal cancer.用于研究结直肠癌中结肠细胞-微生物群相互作用的微流控共培养模型。
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Advancements in 3D In Vitro Models for Colorectal Cancer.结直肠癌的 3D 体外模型的进展。
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8
Bioengineered human colon organoids with in vivo-like cellular complexity and function.具有体内样细胞复杂性和功能的生物工程化人结肠类器官。
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Cell Stem Cell. 2024 Jul 5;31(7):989-1002.e9. doi: 10.1016/j.stem.2024.04.018. Epub 2024 May 15.
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