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

Solid tumor preparation for clinical application of flow cytometry.

J F Ensley1, Z Maciorowski, H Pietraszkiewicz

  • 1Department of Internal Medicine, Wayne State University, Detroit, Michigan 48201.

Cytometry
|September 1, 1987
PubMed
Summary

Optimized enzymatic dissociation techniques improve cell yield and viability for head and neck squamous cell carcinoma (HNSCC) analysis. This method enhances cellular parameter studies for better patient outcome prediction in HNSCC.

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

Blood Pressure Variability Between In-Clinic and At-Home Measurements: Implications for Care Quality Assessment.

Journal of evaluation in clinical practice·2025
Same author

Cost-Utility Analysis of Treatments for Early Childhood Caries in Remote Aboriginal Communities.

JDR clinical and translational research·2025
Same author

Cost-effectiveness of atraumatic restorative treatment combined with the Hall Technique for managing dental caries in remote Indigenous children.

Australian dental journal·2025
Same author

Achievement of Target Gain Larger than Unity in an Inertial Fusion Experiment.

Physical review letters·2024
Same author

Chemoradiotherapy versus radiotherapy in patients with advanced nasopharyngeal cancer: phase III randomized Intergroup study 0099.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2023
Same author

Dental enamel defects and dental caries of primary teeth among Indigenous children in Western Australia.

Australian dental journal·2022

Area of Science:

  • Oncology
  • Cell Biology
  • Biotechnology

Background:

  • Advanced squamous cell cancers of the head and neck (HNSCC) show variable responses to chemotherapy and radiotherapy.
  • Predicting individual patient outcomes in HNSCC is challenging with current clinical and morphological methods.
  • Flow cytometry analysis of cellular parameters in HNSCC is hindered by suboptimal tumor preparation techniques.

Purpose of the Study:

  • To apply optimized tumor preparation techniques, validated in a murine model, to human HNSCC specimens.
  • To evaluate the efficiency and viability of cell dissociation methods for HNSCC analysis.
  • To assess the suitability of prepared HNSCC cells for further biological studies, including cell culture.

Main Methods:

  • Utilized preparative techniques optimized using a murine SCC tumor model (LC12).

Related Experiment Videos

  • Applied these techniques to 144 human HNSCC specimens, comparing enzymatic and mechanical dissociation.
  • Assessed cell yield, viability (dye exclusion), aneuploidy, and successful culturing of dissociated cells.

    • Main Results:

    • Enzymatic dissociation yielded significantly higher viable cells (3.3 x 10^7 cells/g) compared to mechanical dissociation (2.0 x 10^7 cells/g), with over 90% viability.
    • Mechanically dissociated specimens showed significant loss of aneuploid subpopulations.
    • 65% of enzymatically dissociated HNSCC specimens were successfully cultured, with a mean cloning efficiency of 2.1 x 10^-3.

    Conclusions:

    • Optimized enzymatic dissociation techniques provide high cell yields and excellent viability for human HNSCC specimens.
    • These methods overcome previous technical limitations, enabling robust flow cytometry and cell culture studies.
    • Improved HNSCC sample preparation facilitates more accurate analysis of cellular parameters for clinical outcome prediction.