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Cytoplasmic Immunoglobulin Vs. DNA Analysis by Flow Cytometry

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Multiple Myeloma

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1792))

Abstract

Cytoplasmic immunoglobulin (CIg) vs DNA by flow cytometric (FCM) method allows us to detect DNA content of the neoplastic plasma cells with monotypic cytoplasmic immunoglobulin and also provide us with clear distinction from normal polytypic plasma cells. Abnormalities in cellular DNA content (DNA aneuploidy) and cell cycle determination (proliferative activity) can be measured rapidly by flow cytometry. FCM can measure gross differences in DNA content and distinguish a cell population with normal DNA content, or diploid from a cell population with an abnormal or aneuploid DNA content. With the dual parameter procedure a monoclonal plasma cell population can be identified down to less than 0.1–0.05% of all cells.

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References

  1. Bauer KD, Clevenger CV, Endow RK et al (1986) Simultaneous nuclear antigen and DNA content quantitation using paraffin-embedded colonic tissue and multiparameter flow cytometry. Cancer Res 46:2428–2434

    CAS  PubMed  Google Scholar 

  2. Barlogie B, Alexanian R, Pershouse M et al (1985) Cytoplasmic immunoglobulin content in multiple myeloma. J Clin Invest 76:765–769. https://doi.org/10.1172/JCI112033

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. San Miguel JF, García-Sanz R, González M, Orfão A (1996) DNA cell content studies in multiple myeloma. Leuk Lymphoma 23:33–41. https://doi.org/10.3109/10428199609054799

    Article  CAS  PubMed  Google Scholar 

  4. Chan CS, Wormsley SB, Peter JB, Schechter GP (1989) Dual parameter analysis of myeloma cells by flow cytometry. DNA content of cells containing monotypic cytoplasmic immunoglobulin. Am J Clin Pathol 91:12–17

    Article  CAS  Google Scholar 

  5. Barlogie B, Alexanian R, Gehan EA et al (1983) Marrow cytometry and prognosis in myeloma. J Clin Invest 72:853–861. https://doi.org/10.1172/JCI111056

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Barlogie B, Alexanian R, Dixon D et al (1985) Prognostic implications of tumor cell DNA and RNA content in multiple myeloma. Blood 66:338–341

    Article  CAS  Google Scholar 

  7. Hiddemann W, Schumann J, Andreef M et al (1984) Convention on nomenclature for DNA cytometry. Committee on Nomenclature, Society for Analytical Cytology. Cancer Genet Cytogenet 13:181–183

    Article  CAS  Google Scholar 

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Correspondence to Daisy Alapat .

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Alapat, D. (2018). Cytoplasmic Immunoglobulin Vs. DNA Analysis by Flow Cytometry. In: Heuck, C., Weinhold, N. (eds) Multiple Myeloma. Methods in Molecular Biology, vol 1792. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-7865-6_3

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  • DOI: https://doi.org/10.1007/978-1-4939-7865-6_3

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-7864-9

  • Online ISBN: 978-1-4939-7865-6

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