Literature DB >> 6800416

Flow cytometric analysis of DNA content of bone marrow cells in patients with plasma cell myeloma: clinical implications.

P A Bunn, S Krasnow, R W Makuch, M L Schlam, G P Schechter.   

Abstract

DNA content analysis by flow cytometry was performed in 32 patients with plasma cell myeloma and 3 patients with Waldenstrom's macroglobulinemia to determine the biologic and potential clinical usefulness of this technique. Hyperdiploid tumor DNA content was found in 23 myeloma patients (72%) during the course of illness, including 16/28 at presentation, but in none of 3 patients with Waldenstrom's macroglobulinemia. There was no significant association of aneuploidy in myeloma patients with age, sex, race, or M-protein class. Myeloma patients with aneuploid tumor cells were more likely to have advanced stage (p = 0.032) than patients with diploid plasma cells, and all patients with renal failure had aneuploid tumors. Pretreatment factors significantly associated with survival included stage (p = 0.01), serum creatinine (p = 0.003), and tumor DNA content (p = 0.005). Multivariate analysis using the Cox life table regression procedure indicated that the significant relation of tumor DNA content with survival remained after adjusting for stage (p less than 0.005). Myeloma patients with diploid tumors at diagnosis frequently had aneuploid plasma cells at the time of relapse, indicating a possible relationship of chromosomal alterations in the tumor to clinical drug resistance. We conclude that aneuploid tumor cells at the time of diagnosis of myeloma are of independent prognostic significance, and the development of aneuploidy is a frequent occurrence at clinical relapse, suggesting the change in DNA content are of biologic and clinical significance.

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Year:  1982        PMID: 6800416

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  7 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.  The biology of tumor growth in the non-Hodgkin's lymphomas. A dual parameter flow cytometry study of 220 cases.

Authors:  S E Shackney; A M Levine; R I Fisher; P Nichols; E Jaffe; W H Schuette; R Simon; C A Smith; S J Occhipinti; J W Parker
Journal:  J Clin Invest       Date:  1984-04       Impact factor: 14.808

Review 3.  Clinical and biological significance of aneuploidy in human tumours.

Authors:  M L Friedlander; D W Hedley; I W Taylor
Journal:  J Clin Pathol       Date:  1984-09       Impact factor: 3.411

4.  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

5.  Rapid assessment of hyperdiploidy in plasma cell disorders using a novel multi-parametric flow cytometry method.

Authors:  Surbhi Sidana; Dragan Jevremovic; Rhett P Ketterling; Nidhi Tandon; Angela Dispenzieri; Morie A Gertz; Patricia T Greipp; Linda B Baughn; Francis K Buadi; Martha Q Lacy; William Morice; Curtis Hanson; Michael Timm; David Dingli; Suzanne R Hayman; Wilson I Gonsalves; Prashant Kapoor; Robert A Kyle; Nelson Leung; Ronald S Go; John A Lust; S Vincent Rajkumar; Shaji K Kumar
Journal:  Am J Hematol       Date:  2019-01-08       Impact factor: 10.047

6.  Cellular DNA content--a stable feature in epithelial ovarian cancer.

Authors:  M L Friedlander; I W Taylor; P Russell; M H Tattersall
Journal:  Br J Cancer       Date:  1984-02       Impact factor: 7.640

7.  DNA index of ovarian carcinomas from 56 patients: in vivo in vitro studies.

Authors:  E Erba; M Vaghi; S Pepe; G Amato; M Bistolfi; P Ubezio; C Mangioni; F Landoni; L Morasca
Journal:  Br J Cancer       Date:  1985-10       Impact factor: 7.640

  7 in total

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