Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Role of dendrimers in advanced drug delivery and biomedical applications: a review.

Experimental oncology·2018
Same author

Ultrastrong and Flexible Hybrid Hydrogels based on Solution Self-Assembly of Chitin Nanofibers in Gelatin Methacryloyl (GelMA).

Journal of materials chemistry. B·2016
Same author

[Peripartum cardiomyopathy: echocardiography and recovery].

La Tunisie medicale·2008
Same author

[Transient constrictive pericarditis].

La Tunisie medicale·2008
Same author

[Conductive disorders following open-heart valvular surgery. Concerning 230 operated patients].

Annales de cardiologie et d'angeiologie·2006
Same author

[Brucella endocardititis: clinical particularities and therapeutic modalities].

Annales de cardiologie et d'angeiologie·2006

Related Experiment Video

Updated: Mar 15, 2026

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

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

7.8K

Microengineered cancer-on-a-chip platforms to study the metastatic microenvironment.

R Portillo-Lara1, N Annabi2

  • 1Department of Chemical Engineering, Northeastern University, 451 Snell Engineering Building, 360 Huntington Ave, Boston, MA 02115, USA. n.annabi@neu.edu and Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Monterrey, Mexico.

Lab on a Chip
|September 9, 2016
PubMed
Summary

Microengineered platforms precisely mimic the metastatic tumor microenvironment, enabling detailed study of cancer spread and drug response. These advanced systems are crucial for understanding metastasis and developing new cancer therapies.

More Related Videos

Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model
07:03

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

Published on: February 3, 2021

3.2K
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

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

Published on: September 19, 2019

6.8K

Related Experiment Videos

Last Updated: Mar 15, 2026

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

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

7.8K
Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model
07:03

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

Published on: February 3, 2021

3.2K
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

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

Published on: September 19, 2019

6.8K

Area of Science:

  • Biomedical Engineering
  • Cancer Biology
  • Microfluidics

Background:

  • Metastasis accounts for over 90% of cancer deaths, driven by complex tumor microenvironment (TME) interactions.
  • Existing experimental models struggle to replicate the multifaceted stimuli of the metastatic TME.
  • Advanced biomaterials, microfluidics, and tissue engineering are essential for creating relevant models.

Purpose of the Study:

  • To review integrative microengineered platforms for studying metastatic cancer.
  • To highlight their role in investigating TME physicochemical cues, cell interactions, and migration.
  • To discuss applications in fundamental research and drug screening.

Main Methods:

  • Focus on microengineered systems recapitulating TME complexity.
  • Integration of biomaterials, microfluidics, and tissue engineering.
  • Development of "on-chip" technologies for cancer cell analysis and propagation.

Main Results:

  • Microengineered platforms enable study of stromal cues, heterocellular interactions, and migration stresses.
  • These systems allow investigation of physicochemical gradients guiding cell motility.
  • Demonstrated utility as in vitro assays for mechanistic studies and drug screening.

Conclusions:

  • Microengineered systems offer powerful tools for fundamental cancer metastasis research.
  • These platforms provide human-relevant biomimetic microenvironments for drug discovery.
  • Future perspectives include advancing these systems for translational cancer research.