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Metastasis

Metastasis

Metastasis is the spread of cancer cells from the original site to distant locations in the body. Cancer cells can spread via blood vessels (hematogenous) as well as lymph vessels in the body.
Epithelial-to-Mesenchymal Transition
The epithelial-to-mesenchymal transition or EMT is a developmental process commonly observed in wound healing, embryogenesis, and cancer metastasis. EMT is induced by transforming growth factor-beta (TGF-β) or receptor tyrosine kinase (RTK) ligands, which further...

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Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model

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

Anastasia Brooks¹, Yali Zhang¹, Jiezhong Chen¹

¹School of Chemical Engineering, University of Adelaide, Adelaide, 5005, Australia.

Advanced Healthcare Materials

|January 15, 2024

Summary

This summary is machine-generated.

Cancer-metastasis-on-a-chip (CMoC) models use microfluidic technology to accurately mimic the tumor microenvironment. These advanced cancer models improve understanding of metastasis and aid in drug screening for better cancer research.

Keywords:

cancer‐on‐a‐chip drug screening metastasis microfluidics tumor microenvironment

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Analysis of Cancer Cell Invasion and Anti-metastatic Drug Screening Using Hydrogel Micro-chamber Array HMCA-based Plates

Analysis of Cancer Cell Invasion and Anti-metastatic Drug Screening Using Hydrogel Micro-chamber Array HMCA-based Plates

Published on: October 25, 2018

Area of Science:

Biomedical Engineering
Cancer Biology
Microfluidics

Background:

Traditional in vitro cancer models fail to replicate the complex in vivo tumor microenvironment.
Microfluidic chips offer advanced tools for studying cellular and microenvironment interactions.

Purpose of the Study:

To provide an overview of current cancer-metastasis-on-a-chip (CMoC) models.
To highlight CMoC models simulating distinct stages of the metastatic cascade.
To discuss applications in drug screening and future directions in cancer research.

Main Methods:

Review of existing CMoC models.
Focus on models simulating invasion, intravasation, circulation, extravasation, and colonization.
Analysis of CMoC applications in drug screening.

Main Results:

CMoC models effectively combine 3D cultures and microfluidic technology.
These models enable detailed study of the metastatic cascade.
CMoC platforms facilitate targeted drug screening and mechanistic exploration.

Conclusions:

CMoC models represent a significant advancement over traditional in vitro cancer models.
Further development and integration of CMoC technologies promise transformative progress in cancer research.
Microfluidic technologies are crucial for understanding cancer metastasis and developing new therapies.