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

Plasma cell labeling index.

Philip R Greipp1, Shaji Kumar

  • 1Hematology, Mayo Clinic, Rochester, NY, USA.

Methods in Molecular Medicine
|June 22, 2005
PubMed
Summary
This summary is machine-generated.

The PC labeling index measures how fast multiple myeloma plasma cells (PCs) divide. This test, using 5-bromo-2'-deoxyuridine, aids in diagnosing and understanding the disease.

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

Disease Monitoring In Multiple Myeloma.

Clinical lymphoma, myeloma & leukemia·2023
Same author

Clinical Administration Characteristics of Subcutaneous and Intravenous Administration of Daratumumab in Patients With Multiple Myeloma at Mayo Clinic Infusion Centers.

JCO oncology practice·2023
Same author

Reply to E.R.S. Cliff et al.

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

Monoclonal gammopathy of thrombotic/thrombocytopenic significance.

Blood·2023
Same author

Survival trends in young patients with Waldenström macroglobulinemia: Over five decades of experience.

American journal of hematology·2023
Same author

Thrombosis in multiple myeloma: Risk estimation by induction regimen and association with overall survival.

American journal of hematology·2023
Same journal

Erratum to: Immunotherapeutic Approach to Cancer with Cutaneous DNA Vaccination.

Methods in molecular medicine·2015
Same journal

Methods for cancer gene therapy using tumor suppressor genes.

Methods in molecular medicine·2014
Same journal

Suppression of the human carcinoma phenotype by an antioncogene ribozyme.

Methods in molecular medicine·2014
Same journal

Methods for the use of stromal cells for therapeutic gene therapy.

Methods in molecular medicine·2014
Same journal

Methods for adenovirus-mediated gene transfer to synovium in vivo.

Methods in molecular medicine·2014
Same journal

Methods for gene transfer to synovium.

Methods in molecular medicine·2014
See all related articles

Area of Science:

  • Hematology
  • Oncology
  • Immunology

Background:

  • Multiple myeloma is a cancer defined by the uncontrolled growth of monoclonal plasma cells (PCs).
  • The proliferation rate of these malignant PCs is a key factor in disease progression.
  • Measuring the percentage of PCs in the S-phase of the cell cycle quantifies this proliferative rate.

Purpose of the Study:

  • To detail a method for measuring the plasma cell (PC) labeling index.
  • To highlight the diagnostic and prognostic value of this index in multiple myeloma.

Main Methods:

  • Utilizing a slide-based immunofluorescence technique with 5-bromo-2 -deoxyuridine (BrdU) incorporation into dividing PC DNA.
  • Employing concurrent cytoplasmic staining for immunoglobulins and kappa/lambda light chains for specific PC identification and monoclonality confirmation.

Related Experiment Videos

  • Describing manual and automated staining procedures, along with slide interpretation.
  • Main Results:

    • The PC labeling index accurately reflects the proliferative rate of malignant plasma cells.
    • The method allows for specific identification of PCs and confirmation of their monoclonal origin.
    • The technique is applicable to both bone marrow and peripheral blood specimens.

    Conclusions:

    • The bone marrow peripheral blood labeling index is a valuable clinical test for multiple myeloma.
    • This method provides crucial diagnostic and prognostic information for patient management.