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 Experiment Videos

Evolution of resistance during clonal expansion.

Yoh Iwasa1, Martin A Nowak, Franziska Michor

  • 1Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan. yiwasscb@mbox.nc.kyushu-u.ac.jp

Genetics
|April 26, 2006
PubMed
Summary

Acquired drug resistance in cancer therapy is a significant challenge. This study models how resistant cells emerge, finding resistance probability increases with tumor size and cell division rates.

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

Targeted degradation of MDM2 overcomes feedback regulation of p53 signaling in Merkel cell carcinoma models.

The Journal of clinical investigation·2026
Same author

ESR1 mutations and CDK4/6 inhibitor choice shape clonal selection and adaptive cell states during acquired resistance.

Genome medicine·2026
Same author

A pan-cancer single-cell analysis of intratumoral copy number diversity and evolution.

Cancer discovery·2026
Same author

H3K27M-driven hypertranscription leads to a new targetable dependency in diffuse midline gliomas.

bioRxiv : the preprint server for biology·2026
Same author

Radiation Oncology-Biology Integration Network: Bridging the Gap between Biological Research and Clinical Practice.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

HER2 heterogeneous breast cancer models reveal novel therapeutic targets and subclonal dynamics during evolution to resistance to HER2-targeted therapies.

Cancer discovery·2026

Area of Science:

  • Oncology
  • Mathematical Biology
  • Genetics

Background:

  • Acquired drug resistance limits cancer therapy effectiveness.
  • The emergence dynamics of resistant tumor cells are not well understood.
  • One genetic alteration can confer resistance to therapy.

Purpose of the Study:

  • To model the emergence of drug-resistant cancer cells.
  • To calculate the probability and number of resistant cells at detection size.
  • To investigate the influence of mutation rate and cell division on resistance.

Main Methods:

  • An exponentially growing cancer cell population model was used.
  • The model considers sensitive cells mutating to resistant ones with relative fitness alpha.
  • Calculations for resistance probability and mean resistant cell number were performed.

Main Results:

  • Resistance probability increases with detection size (M) and mutation rate (u).
  • For advantageous mutants (alpha>1), expected resistant cells increase with M.
  • Apoptosis rates correlate with higher resistance incidence.

Conclusions:

  • Tumor size and cell division are key factors in the emergence of drug resistance.
  • Understanding these dynamics can inform cancer therapy strategies.
  • Therapeutic interventions may need to account for tumor growth and mutation rates.

Related Experiment Videos