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

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
The Cell Cycle Control System02:11

The Cell Cycle Control System

The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...
The Cell Cycle Control System01:28

The Cell Cycle Control System

The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and function at the cell...
The Cell Cycle Control System02:11

The Cell Cycle Control System

The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...
Molecular Factors Affecting Cell Division01:27

Molecular Factors Affecting Cell Division

Several external and internal factors influence the initiation and inhibition of cell division. For instance, the death of nearby cells or the release of human growth hormone (hGH) promotes cell division. In contrast, lack of hGH or crowding of cells can inhibit cell division.
Several proteins function as internal regulators to ensure each cell cycle stage is completed faithfully before proceeding to the next. Regulator molecules may act directly or influence the activity or production of other...
Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.

You might also read

Related Articles

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

Sort by
Same author

Mean First Passage Times of Higher-Dimensional Velocity Jump Processes.

Physical review letters·2026
Same author

Calcium signalling in glioblastoma networks of different topologies and possible treatments.

Mathematical biosciences·2026
Same author

Qualitative optimization of oncolytic virotherapy and immune therapy combination treatments.

Mathematical biosciences and engineering : MBE·2026
Same author

The work of Pierre Magal on differential equations, functional analysis and mathematical biology.

Journal of mathematical biology·2025
Same author

Go-or-grow models in biology: a monster on a leash.

Journal of mathematical biology·2025
Same author

50 Years Journal of Mathematical Biology.

Journal of mathematical biology·2025

Related Experiment Video

Updated: Jun 8, 2026

Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids
10:44

Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids

Published on: December 28, 2015

From cell population models to tumor control probability: including cell cycle effects.

Thomas Hillen1, Gerda de Vries, Jiafen Gong

  • 1Centre for Mathematical Biology, Department of Mathematical & Statistical Sciences, University of Alberta, Edmonton, AB, Canada. thillen@math.ualberta.ca

Acta Oncologica (Stockholm, Sweden)
|September 17, 2010
PubMed
Summary

Incorporating the cell cycle into tumor control probability (TCP) models, by distinguishing actively proliferating and quiescent cells, reveals that cell cycle effects lower TCP. This dynamic model offers insights for optimizing radiation therapy timing.

More Related Videos

Cell Population Analyses During Skin Carcinogenesis
06:53

Cell Population Analyses During Skin Carcinogenesis

Published on: August 21, 2013

Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel
08:29

Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel

Published on: May 14, 2018

Related Experiment Videos

Last Updated: Jun 8, 2026

Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids
10:44

Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids

Published on: December 28, 2015

Cell Population Analyses During Skin Carcinogenesis
06:53

Cell Population Analyses During Skin Carcinogenesis

Published on: August 21, 2013

Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel
08:29

Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel

Published on: May 14, 2018

Area of Science:

  • Radiation oncology
  • Mathematical modeling of cancer
  • Cell biology

Background:

  • Classical tumor control probability (TCP) expressions rely on cancer cell survival fraction models post-radiation.
  • This study derives TCP expressions from dynamic cell population models.

Purpose of the Study:

  • To derive a generalized TCP formula from a cell population model that incorporates the cell cycle.
  • To investigate the impact of cell cycle dynamics on tumor treatment outcomes.

Main Methods:

  • Generalizing existing TCP formulas (Zaider-Minerbo, Dawson-Hillen) to a new cell population model.
  • Including distinct compartments for actively proliferating and quiescent cells, with differential radiation sensitivity.
  • Applying the derived formula to six prostate cancer treatment protocols.

Main Results:

  • The new TCP formula encompasses previous models as special cases.
  • Quiescent cells, being less radiation-sensitive, reduce overall TCP.
  • Analysis of prostate cancer protocols demonstrates the impact of cell cycle on treatment efficacy.

Conclusions:

  • The cell cycle acts as a mechanism for sequestering less radiation-sensitive cells.
  • The developed model can inform strategies for optimizing radiation therapy timing, potentially with synchronization methods.