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

Micrometastases formation: a probabilistic model

L A Liotta, C Delisi, G Saidel

    Cancer Letters
    |September 1, 1977
    PubMed
    Summary
    This summary is machine-generated.

    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

    Data perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.

    Cancer informatics·2009
    Same author

    Applications of optical resonance to biological imaging and label-free protein microarrays.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2009
    Same author

    Analysis of breast cancer progression using principal component analysis and clustering.

    Journal of biosciences·2007
    Same author

    Genes linked by fusion events are generally of the same functional category: a systematic analysis of 30 microbial genomes.

    Proceedings of the National Academy of Sciences of the United States of America·2001
    Same author

    Protein folds: molecular systematics in three dimensions.

    Cellular and molecular life sciences : CMLS·2001
    Same author

    Neural network method for predicting peptides that bind major histocompatibility complex molecules.

    Methods in molecular biology (Clifton, N.J.)·2000
    Same journal

    Stress-adapted cancer-associated fibroblasts as mediators of immunosuppression and therapy resistance.

    Cancer letters·2026
    Same journal

    Aldo-keto Reductase Family 1 Member C3 Suppresses Glioma Progression via Inhibiting Prostaglandin D2-Dependent RhoA/ROCK Signaling.

    Cancer letters·2026
    Same journal

    Immunotherapy-based combination remodels the immunosuppressive microenvironment and enhances efficacy in advanced SMARCA4-deficient non-small cell lung cancer.

    Cancer letters·2026
    Same journal

    Early-onset lung cancer: etiologic heterogeneity, genomic features, and age-informed clinical management.

    Cancer letters·2026
    Same journal

    Talazoparib engages innate immune activation via PARP trapping-dependent cGAS/STING activation in Ewing Sarcoma.

    Cancer letters·2026
    Same journal

    Corrigendum to "Elevated MMP10/13 mediated barrier disruption and NF-κB activation aggravate colitis and colon tumorigenesis in both individual or full miR-148/152 family knockout mice" [Cancer Lett. (2022) 31 529 53-69].

    Cancer letters·2026
    See all related articles

    This study models cancer metastasis, finding a critical time window after tumor initiation. Beyond this period, the probability of micrometastases forming becomes nearly certain.

    Area of Science:

    • Oncology
    • Mathematical Biology
    • Cancer Research

    Background:

    • Cancer metastasis is a complex, multi-stage process.
    • Hematogenous spread is a primary route for distant tumor dissemination.
    • Understanding the temporal dynamics of metastasis is crucial for effective treatment.

    Purpose of the Study:

    • To develop a mathematical model for hematogenous metastasis from solid tumors.
    • To determine the probability of metastasis formation over time.
    • To identify critical time points in the metastatic cascade.

    Main Methods:

    • Formulation of a mathematical model for a multi-stage metastatic process.
    • Experimental study using the murine T241 fibrosarcoma model.
    • Experimental estimation of parameters for metastasis probability calculations.

    Related Experiment Videos

    Main Results:

    • A mathematical expression for the probability of no metastasis establishment by a characteristic time was derived.
    • The T241 fibrosarcoma model demonstrated reproducible pulmonary metastases.
    • The probability of metastasis remained high initially, then dropped sharply to zero, indicating a critical time period.

    Conclusions:

    • A predictable critical time period exists for micrometastasis formation in this experimental system.
    • Mathematical modeling provides insights into the temporal dynamics of cancer spread.
    • Early detection and intervention may be critical within this identified time window.