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基于芯片的体外肿瘤模型和集成微生理分析平台(MAP)在生命科学和高通量药物筛选中的应用。

In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening.

机构信息

Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea.

Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea.

出版信息

Biosensors (Basel). 2023 Feb 6;13(2):231. doi: 10.3390/bios13020231.

Abstract

The evolution of preclinical in vitro cancer models has led to the emergence of human cancer-on-chip or microphysiological analysis platforms (MAPs). Although it has numerous advantages compared to other models, cancer-on-chip technology still faces several challenges such as the complexity of the tumor microenvironment and integrating multiple organs to be widely accepted in cancer research and therapeutics. In this review, we highlight the advancements in cancer-on-chip technology in recapitulating the vital biological features of various cancer types and their applications in life sciences and high-throughput drug screening. We present advances in reconstituting the tumor microenvironment and modeling cancer stages in breast, brain, and other types of cancer. We also discuss the relevance of MAPs in cancer modeling and precision medicine such as effect of flow on cancer growth and the short culture period compared to clinics. The advanced MAPs provide high-throughput platforms with integrated biosensors to monitor real-time cellular responses applied in drug development. We envision that the integrated cancer MAPs has a promising future with regard to cancer research, including cancer biology, drug discovery, and personalized medicine.

摘要

临床前体外癌症模型的发展导致了人类癌症芯片或微生理分析平台(MAPs)的出现。尽管与其他模型相比,癌症芯片技术具有许多优势,但仍面临着一些挑战,如肿瘤微环境的复杂性和整合多个器官以在癌症研究和治疗中被广泛接受。在这篇综述中,我们强调了癌症芯片技术在再现各种癌症类型的重要生物学特征及其在生命科学和高通量药物筛选中的应用方面的进展。我们介绍了在重建肿瘤微环境和模拟乳腺癌、脑癌和其他类型癌症的癌症阶段方面的进展。我们还讨论了 MAPs 在癌症建模和精准医学中的相关性,例如流动对癌症生长的影响以及与临床相比的短培养期。先进的 MAPs 提供了具有集成生物传感器的高通量平台,可实时监测细胞反应,应用于药物开发。我们设想,集成癌症 MAPs 在癌症研究方面具有广阔的前景,包括癌症生物学、药物发现和个性化医疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d069/9954135/76f9c1b4d0f3/biosensors-13-00231-g001.jpg

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