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

Patient-specific mutation databases for oral cancer.

M Partridge1, G Emilion, M Falworth

  • 1King's College Hospital, London, United Kingdom. max.partridge@kcl.ac.uk

International Journal of Cancer
|June 17, 1999
PubMed
Summary

Developing genetic databases for oral squamous cell carcinoma (SCC) enhances understanding of molecular pathways. Fractional allelic loss scores offer better outcome prediction than traditional staging for head and neck cancers.

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

Portable Home-Use Triglyceride Meter Demonstrates Good Agreement With Plasma Laboratory Measures During Pregnancies Complicated by Metabolic Disease.

Endocrinology, diabetes & metabolism·2026
Same author

Development and validation of a cephalosporin allergy clinical decision rule.

The Journal of infection·2025
Same author

Spectrum of offending drugs and cutaneous adverse drug reactions requiring hospitalisation in a tertiary South African hospital in TB/HIV endemic setting.

Frontiers in allergy·2024
Same author

Automatic classification of ICA components from infant EEG using MARA.

Developmental cognitive neuroscience·2021
Same author

Lactoferrin for the treatment of age-associated inflammation - A pilot study.

Physiology international·2021
Same author

AAPS Perspective on the EURL Recommendation on the use of Non-Animal-Derived Antibodies.

The AAPS journal·2021

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Oral squamous cell carcinoma (SCC) pathogenesis involves complex genetic events.
  • Understanding molecular subtypes is crucial for predicting tumor behavior and patient outcomes.
  • Current staging systems may not fully capture the heterogeneity of head and neck cancers.

Purpose of the Study:

  • To evaluate the utility of incorporating loss of heterozygosity (LOH) data into patient-specific mutation databases for oral SCC.
  • To investigate the correlation between genetic alterations and clinical behavior in head and neck cancers.
  • To determine if molecular markers can improve prognostic accuracy beyond conventional staging.

Main Methods:

  • Microsatellite analysis using 52 polymorphic markers across 13 chromosomal regions relevant to head and neck cancer.

Related Experiment Videos

  • Immunohistochemical assessment of tumor suppressor genes (Rb, p53, DCC) expression.
  • Calculation of Fractional Allelic Loss (FAL) scores and analysis of allelic imbalance (AI) patterns.

    • Main Results:

    • Diverse patterns of allelic imbalance (AI) were observed across all TNM stages, indicating varied tumor progression.
    • Specific AI patterns at chromosomal regions 3p22-26, 3p14.3-12.1, and 9p21 were identified.
    • Fractional Allelic Loss (FAL) score and AI presence at these regions proved superior to the TNM system in predicting patient outcomes.

    Conclusions:

    • Genetic damage patterns, quantified by FAL scores and AI, provide more accurate prognostic information for oral SCC patients than the TNM staging system.
    • Molecular data, including LOH analysis, can significantly enhance conventional staging systems.
    • This research highlights the potential for integrating molecular profiling into clinical practice for improved head and neck cancer management.