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The Tumor Microenvironment

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...

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Related Experiment Video

Updated: Jun 11, 2025

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

Improving tumor microenvironment assessment in chip systems through next-generation technology integration.

Daniela Gaebler¹, Stephanie J Hachey¹, Christopher C W Hughes^1,2

¹Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States.

Frontiers in Bioengineering and Biotechnology

|October 10, 2024

Summary

Advanced microfluidic models accurately mimic the tumor microenvironment (TME), integrating next-generation technologies to dissect cellular interactions and develop targeted cancer therapies.

Keywords:

bioengineering bioprinting biosensors cancer immunology next-generation technology sequencing tumor microenvironment tumor-on-chip

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Last Updated: Jun 11, 2025

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

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Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

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Published on: September 19, 2019

Area of Science:

Oncology
Biotechnology
Bioengineering

Background:

The tumor microenvironment (TME) involves complex cellular interactions crucial for cancer progression, therapy response, and drug resistance.
Targeting the TME is a promising strategy, but requires models that accurately replicate its intricate cellular and non-cellular dynamics.
Current in vitro and in vivo models have limitations in mimicking the TME's complexity.

Purpose of the Study:

To highlight the importance of advanced microfluidic systems for studying the TME.
To showcase microfluidic models integrated with next-generation technologies for dissecting intra-tumoral cellular interactions.
To emphasize the potential for developing targeted, personalized anti-cancer therapies.

Main Methods:

Review of current microfluidic systems designed to model the TME.
Focus on integration of microfluidics with technologies like bioprinting, single-cell sequencing, and real-time biosensing.
Analysis of how these integrated models dissect dynamic cellular interactions within the TME.

Main Results:

Microfluidic systems offer advantages over traditional models by accurately mimicking TME features and enabling controlled examination of multi-cellular interactions.
Integration with advanced technologies enhances the ability to study the TME at an unprecedented level of detail.
These advanced models facilitate a deeper understanding of intra-tumoral heterogeneity and cell-cell communication.

Conclusions:

Advanced microfluidic models are essential for unraveling TME complexity and developing effective, personalized cancer therapies.
Leveraging next-generation technologies with microfluidics is pivotal for overcoming limitations of current treatment modalities.
This integrated approach holds significant promise for enhancing anti-tumoral responses and improving patient outcomes.