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

Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

5.7K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.7K
Cancer Therapies02:49

Cancer Therapies

7.6K
Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
7.6K

You might also read

Related Articles

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

Sort by
Same author

Optimal experiment design for practical parameter identifiability and model discrimination.

Mathematical biosciences·2026
Same author

Exploring the relationship between vascular remodelling and tumour growth using agent-based modelling.

PLoS computational biology·2026
Same author

Problems, Progress and Perspectives in Mathematical and Computational Biology.

Bulletin of mathematical biology·2026
Same author

Therapeutic manipulation and spatial quantification of the tumor microenvironment in colorectal cancer.

iScience·2026
Same author

Networked collective dynamics in animal ecology and cell biology.

Physics of life reviews·2026
Same author

Topological model selection: a case-study in tumour-induced angiogenesis.

Bioinformatics (Oxford, England)·2026

Related Experiment Video

Updated: Jun 8, 2025

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
10:51

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer

Published on: January 5, 2021

4.6K

Characterising Cancer Cell Responses to Cyclic Hypoxia Using Mathematical Modelling.

Giulia L Celora1, Ruby Nixson2, Joe M Pitt-Francis3

  • 1Department of Mathematics, University College London, Gordon Street, London, 100190, UK. g.celora@ucl.ac.uk.

Bulletin of Mathematical Biology
|November 6, 2024
PubMed
Summary
This summary is machine-generated.

Cancer cells exposed to fluctuating oxygen levels (cyclic hypoxia) respond differently based on oxygen dynamics. Mathematical modeling reveals cyclic hypoxia can increase cellular damage repair heterogeneity in tumors.

Keywords:
Cell cycleDamage repairFluctuating oxygen levelsIndividual-based modellingMathematical oncologyTumour Hypoxia

More Related Videos

Modeling the Effects of Hemodynamic Stress on Circulating Tumor Cells using a Syringe and Needle
05:49

Modeling the Effects of Hemodynamic Stress on Circulating Tumor Cells using a Syringe and Needle

Published on: April 27, 2021

2.5K
In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis
12:03

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis

Published on: December 9, 2016

12.4K

Related Experiment Videos

Last Updated: Jun 8, 2025

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
10:51

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer

Published on: January 5, 2021

4.6K
Modeling the Effects of Hemodynamic Stress on Circulating Tumor Cells using a Syringe and Needle
05:49

Modeling the Effects of Hemodynamic Stress on Circulating Tumor Cells using a Syringe and Needle

Published on: April 27, 2021

2.5K
In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis
12:03

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis

Published on: December 9, 2016

12.4K

Area of Science:

  • Cancer Biology
  • Mathematical Oncology
  • Hypoxia Research

Background:

  • Tumor oxygen levels fluctuate, leading to cyclic hypoxia, where cancer cells experience periodic low oxygen.',
  • The cellular response to cyclic hypoxia is poorly understood compared to constant hypoxia.',
  • Existing in vitro models do not fully represent in vivo tumor oxygen dynamics.

Purpose of the Study:

  • To develop a mathematical model simulating cancer cell responses to cyclic hypoxia.',
  • To investigate how cyclic hypoxia affects cancer cell cycle progression and fate determination.',
  • To explore the impact of oxygen fluctuation dynamics on cellular adaptation.

Main Methods:

  • Development of an individual-based mathematical model for simulating cancer cell behavior under cyclic hypoxia.',
  • Model validation against standard in vitro experiments like clonogenic and cell cycle assays.',
  • Simulation of diverse cyclic hypoxia conditions and investigation of cell cycle checkpoint and damage repair mechanisms.

Main Results:

  • Cancer cell responses to cyclic hypoxia vary significantly depending on the specific oxygen fluctuation dynamics.',
  • The model successfully simulates in vitro experiments, enabling efficient screening of cellular responses.',
  • Simulations suggest cyclic hypoxia can enhance heterogeneity in cellular damage repair within tumors.

Conclusions:

  • Mathematical modeling provides crucial insights into the complex biology of tumor cyclic hypoxia.',
  • The dynamics of oxygen fluctuations are critical determinants of cancer cell adaptation to cyclic hypoxia.',
  • Cyclic hypoxia may contribute to increased cellular heterogeneity and potentially impact treatment resistance in vascular tumors.