Literature DB >> 6193144

Marrow cytometry and prognosis in myeloma.

B Barlogie, R Alexanian, E A Gehan, L Smallwood, T Smith, B Drewinko.   

Abstract

We have previously shown that flow cytometric analysis of acridine orange-stained bone marrow cells is useful for the objective enumeration and characterization of plasma cells from patients with myeloma, frequently exhibiting an abnormal DNA and an elevated RNA content. In this report on 77 previously untreated patients, we have investigated the biologic and prognostic implications of these quantitative tumor cell parameters. The degree of marrow involvement by tumor, both by microscopic and cytometric analysis, correlated with the clinically derived tumor mass stage. Examination of the product of relative tumor cell RNA content and marrow tumor infiltrate (as a measure of metabolic capacity for immunoglobulin production) in relationship to the myeloma protein concentration in the serum revealed differences in the efficiency of immunoglobulin production and/or catabolism. There was an inverse relationship between the degree of marrow tumor involvement and RNA index, suggesting a more aggressive behavior of myeloma in patients with a low tumor cell RNA content. Prognostically, high tumor cell RNA content identified patients with a high likelihood of response to both initial treatment (32 patients, P = 0.004) and salvage therapy (29 patients, P = 0.01). Favorable factors for survival were low clinical tumor mass stage (P = 0.07) and low marrow tumor infiltrate as determined morphologically (P = 0.04) and cytometrically (P = 0.004). Thus, the direct examination of marrow cellular DNA and RNA content permitted assessment of tumor burden and was useful in the prediction of response and survival.

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Year:  1983        PMID: 6193144      PMCID: PMC1129250          DOI: 10.1172/JCI111056

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  15 in total

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Authors:  E A GEHAN
Journal:  Biometrika       Date:  1965-06       Impact factor: 2.445

2.  DNA histogram analysis of human hemopoietic cells.

Authors:  B Barlogie; G Spitzer; J S Hart; D A Johnston; T Büchner; J Schumann; B Drewinko
Journal:  Blood       Date:  1976-08       Impact factor: 22.113

3.  Ploidy and proliferative characteristics in monoclonal gammopathies.

Authors:  J Latreille; B Barlogie; D Johnston; B Drewinko; R Alexanian
Journal:  Blood       Date:  1982-01       Impact factor: 22.113

4.  Cellular DNA content as a marker of human multiple myeloma.

Authors:  J Latreille; B Barlogie; G Dosik; D A Johnston; B Drewinko; R Alexanian
Journal:  Blood       Date:  1980-03       Impact factor: 22.113

5.  Prognostic factors in multiple myeloma.

Authors:  R Alexanian; S Balcerzak; J D Bonnet; E A Gehan; A Haut; J S Hewlett; R W Monto
Journal:  Cancer       Date:  1975-10       Impact factor: 6.860

6.  Drug resistance in multiple myeloma associated with high in vitro incorporation of 3H-thymidine.

Authors:  V Hofmann; S E Salmon; B G Durie
Journal:  Blood       Date:  1981-09       Impact factor: 22.113

7.  Characterization of hematologic malignancies by flow cytometry.

Authors:  B Barlogie; J Latreille; E J Freireich; C T Fu; D Mellard; M Meistrich; M Andreeff
Journal:  Blood Cells       Date:  1980

8.  Pretreatment tumor mass, cell kinetics, and prognosis in multiple myeloma.

Authors:  B G Durie; S E Salmon; T E Moon
Journal:  Blood       Date:  1980-03       Impact factor: 22.113

9.  A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.

Authors:  J H Goldie; A J Coldman
Journal:  Cancer Treat Rep       Date:  1979 Nov-Dec

10.  Chemoimmunotherapy for multiple myeloma.

Authors:  R Alexanian; S Salmon; J Gutterman; D Dixon; J Bonnet; A Haut
Journal:  Cancer       Date:  1981-04-15       Impact factor: 6.860

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  6 in total

1.  Multiparameter analyses of normal and malignant human plasma cells: CD38++, CD56+, CD54+, cIg+ is the common phenotype of myeloma cells.

Authors:  R Leo; M Boeker; D Peest; R Hein; R Bartl; J E Gessner; J Selbach; G Wacker; H Deicher
Journal:  Ann Hematol       Date:  1992-03       Impact factor: 3.673

2.  Argyrophilic nucleolar organizer region counts in multiple myeloma: a histopathological study on bone marrow trephine biopsies.

Authors:  A Pich; L Chiusa; F Marmont; N Cappello; R Navone
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1992

3.  Nucleic acid cytometry of homosexual-associated lymphoproliferative disease.

Authors:  J R Srigley; J J Butler; B M Osborne; L Guarda; B Barlogie
Journal:  Am J Pathol       Date:  1986-06       Impact factor: 4.307

4.  Immunoglobulin secretion by peripheral blood and bone marrow B cells in patients with multiple myeloma. Studies by the reverse haemolytic plaque assay.

Authors:  F Dammacco; A Vacca; E Altomare; N Campobasso
Journal:  Clin Exp Immunol       Date:  1984-09       Impact factor: 4.330

5.  Cytoplasmic immunoglobulin content in multiple myeloma.

Authors:  B Barlogie; R Alexanian; M Pershouse; L Smallwood; L Smith
Journal:  J Clin Invest       Date:  1985-08       Impact factor: 14.808

6.  Clinical and biological characteristics of myeloma patients influence response to elotuzumab combination therapy.

Authors:  Sophia Danhof; Susanne Strifler; Dorothea Hose; Martin Kortüm; Max Bittrich; Jochen Hefner; Hermann Einsele; Stefan Knop; Martin Schreder
Journal:  J Cancer Res Clin Oncol       Date:  2018-12-05       Impact factor: 4.322

  6 in total

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