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

Histopathology-inferred spatial transcriptomics characterizes the tumor microenvironment in 1,500 head and neck tumors and predicts clinical outcomes.

bioRxiv : the preprint server for biology·2026
Same author

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma.

Molecular oncology·2026
Same author

Spatial profiling of HPV-stratified head and neck squamous cell carcinoma reveals distinct immune niches and microenvironmental architectures.

Journal of translational medicine·2025
Same author

Single cell and spatial analysis of immune-hot and immune-cold tumours identifies fibroblast subtypes associated with distinct immunological niches and positive immunotherapy response.

Molecular cancer·2025
Same author

Differentiation signals induce APOBEC3A expression via GRHL3 in squamous epithelia and squamous cell carcinoma.

The EMBO journal·2024
Same author

Author Correction: mTOR regulates MAPKAPK2 translation to control the senescence-associated secretory phenotype.

Nature cell biology·2024

Related Experiment Video

Updated: May 31, 2026

Modeling and Imaging 3-Dimensional Collective Cell Invasion
07:08

Modeling and Imaging 3-Dimensional Collective Cell Invasion

Published on: December 7, 2011

Measuring invasion in an organotypic model.

Veronika Jenei1, Maria L Nystrom, Gareth J Thomas

  • 1Division of Cancer Sciences, School of Medicine, University of Southampton, Southampton, UK.

Methods in Molecular Biology (Clifton, N.J.)
|July 13, 2011
PubMed
Summary

Organotypic cultures model tumor-stroma interactions. A new "invasion index" quantifies invasion patterns in these models, offering a more accurate measure of tumor aggressiveness than simple depth measurements.

More Related Videos

A Two-Dimensional Organoid Culture on Invasin or Basement Membrane Extract to Study Host-Bacteria Interactions
08:21

A Two-Dimensional Organoid Culture on Invasin or Basement Membrane Extract to Study Host-Bacteria Interactions

Published on: March 13, 2026

Alternative Strategy to Analyze In Vitro Cell Invasion of 3D Cultures
04:35

Alternative Strategy to Analyze In Vitro Cell Invasion of 3D Cultures

Published on: August 9, 2024

Related Experiment Videos

Last Updated: May 31, 2026

Modeling and Imaging 3-Dimensional Collective Cell Invasion
07:08

Modeling and Imaging 3-Dimensional Collective Cell Invasion

Published on: December 7, 2011

A Two-Dimensional Organoid Culture on Invasin or Basement Membrane Extract to Study Host-Bacteria Interactions
08:21

A Two-Dimensional Organoid Culture on Invasin or Basement Membrane Extract to Study Host-Bacteria Interactions

Published on: March 13, 2026

Alternative Strategy to Analyze In Vitro Cell Invasion of 3D Cultures
04:35

Alternative Strategy to Analyze In Vitro Cell Invasion of 3D Cultures

Published on: August 9, 2024

Area of Science:

  • Oncology
  • Cell Biology
  • Biotechnology

Background:

  • Organotypic cultures simulate in vivo tumor-stroma interactions.
  • Collective tumor cell invasion in these models mirrors human tissue invasion.
  • Qualitative assessment of invasion is insufficient; quantitative methods are needed.

Purpose of the Study:

  • To develop an objective method for quantifying tumor invasion in organotypic cultures.
  • To create a metric that reflects both the depth and pattern of invasion.
  • To improve the assessment of tumor aggressiveness using in vitro models.

Main Methods:

  • Utilized image analysis software to analyze organotypic invasion assays.
  • Quantified average depth of tumor invasion.
  • Measured the number and area of invading tumor islands.

Main Results:

  • Developed an 'invasion index' by multiplying average invasion depth, number of invading islands, and island area.
  • The invasion index effectively maximizes differences in invasion patterns.
  • This index provides a comprehensive measure of invasion, surpassing individual parameters.

Conclusions:

  • The invasion index offers a more accurate and objective quantification of tumor invasion in organotypic cultures.
  • This metric better reflects tumor aggressiveness by incorporating invasion patterns.
  • Image analysis of organotypic cultures provides a physiologically relevant method for studying invasion dynamics.