Cancer Metastasis‐on‐a‐Chip for Modeling Metastatic Cascade and Drug Screening

Abstract

Microfluidic chips are valuable tools for studying intricate cellular and cell‐microenvironment interactions. Traditional in vitro cancer models lack accuracy in mimicking the complexities of in vivo tumor microenvironment. However, cancer‐metastasis‐on‐a‐chip (CMoC) models combine the advantages of three dimensional (3D) cultures and microfluidic technology, serving as powerful platforms for exploring cancer mechanisms and facilitating drug screening. These chips are able to compartmentalize the metastatic cascade, deepening our understanding of its underlying mechanisms. This article provides an overview of current CMoC models, focusing on distinctive models that simulate invasion, intravasation, circulation, extravasation, and colonization, and their applications in drug screening. Furthermore, we discuss challenges faced by CMoC and microfluidic technologies, while exploring promising future directions in cancer research. The ongoing development and integration of these models into cancer studies are expected to drive transformative advancements in the field.This article is protected by copyright. All rights reserved

A recyclable PDMS microfluidic surface-enhanced Raman scattering Cu/AgNP chip for the analysis of sulfadiazine in aquatic products

“…5,6 Additionally, by integrating various detection methods such as mass spectrometry analysis, 7 Raman spectroscopy, 8 fluorescence detection 9 and so on, microfluidic chips can be applied in fields such as biological analysis, 10 environmental monitoring, 11 and drug screening. 12 For example, by combining microfluidic chips with mass spectrometry, Zeng 13 developed a new type of nanoelectrospray emitter based on microfluidic manufacture, offering stable electrospray, reproducibility, and enhanced ionization efficiency for bioanalyses. Integrating a surface-enhanced Raman scattering (SERS) method, Wen 14 presented a digital SERSmicrofluidic chip designed for the rapid detection of microorganisms, and efficiently addressed the issue of irregularities in SERS quantitative detection.…”