Literature DB >> 19880781

Multiparameter flow cytometry quantification of bone marrow plasma cells at diagnosis provides more prognostic information than morphological assessment in myeloma patients.

Bruno Paiva1, Maria-Belén Vidriales, Jose J Pérez, Gema Mateo, Maria Angeles Montalbán, Maria Victoria Mateos, Joan Bladé, Juan José Lahuerta, Alberto Orfao, Jesús F San Miguel.   

Abstract

Quantification of bone marrow plasma cells in multiple myeloma patients using conventional morphology is of limited prognostic value, while the merit of multiparameter flow cytometry immunophenotyping is still considered unproven. Here we compare the bone marrow plasma cell counts obtained by morphology and multiparameter flow cytometry and explore the potential prognostic impact of both techniques in 765 newly diagnosed, uniformly treated multiple myeloma patients. Although multiparameter flow cytometry generally yields lower plasma cell counts (median percentage of 11% vs. 40%, respectively; p<0.001), there is a significant positive correlation between the two techniques (R =0.46, p<0.001). Regarding prognosis, multivariate analysis selected the bone marrow plasma cell counts obtained by multiparameter flow cytometry as an independent prognostic factor for overall survival (p=0.007), supporting the incorporation of multiparameter flow cytometry immunophenotyping into the routine diagnostic evaluation of multiple myeloma patients and validating the clinical utility of bone marrow plasma cell counting by multiparameter flow cytometry approaches. (clinicaltrials.gov identifier: NCT00560053).

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Year:  2009        PMID: 19880781      PMCID: PMC2770972          DOI: 10.3324/haematol.2009.009100

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  17 in total

1.  Immunophenotypic evaluation of the plasma cell compartment in multiple myeloma: a tool for comparing the efficacy of different treatment strategies and predicting outcome.

Authors:  Jesús F San Miguel; Julia Almeida; Gema Mateo; Joan Bladé; Consuelo López-Berges; Dolores Caballero; José Hernández; María Jesús Moro; Javier Fernández-Calvo; Joaquín Díaz-Mediavilla; Luis Palomera; Alberto Orfao
Journal:  Blood       Date:  2002-03-01       Impact factor: 22.113

2.  Diverse niches within multiple myeloma bone marrow aspirates affect plasma cell enumeration.

Authors:  Liat Nadav; Ben-Zion Katz; Shoshana Baron; Lydia Yossipov; Aaron Polliack; Varda Deutsch; Benjamin Geiger; Ellizabeth Naparstek
Journal:  Br J Haematol       Date:  2006-06       Impact factor: 6.998

3.  Immunophenotyping of plasma cells in multiple myeloma.

Authors:  Gema Mateo Manzanera; Jesús F San Miguel Izquierdo; Alberto Orfao de Matos
Journal:  Methods Mol Med       Date:  2005

4.  Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation.

Authors:  Bruno Paiva; Maria-Belén Vidriales; Jorge Cerveró; Gema Mateo; Jose J Pérez; Maria A Montalbán; Anna Sureda; Laura Montejano; Norma C Gutiérrez; Alfonso García de Coca; Natalia de Las Heras; Maria V Mateos; Maria C López-Berges; Raimundo García-Boyero; Josefina Galende; Jose Hernández; Luis Palomera; Dolores Carrera; Rafael Martínez; Javier de la Rubia; Alejandro Martín; Joan Bladé; Juan J Lahuerta; Alberto Orfao; Jesús F San Miguel
Journal:  Blood       Date:  2008-07-31       Impact factor: 22.113

5.  Methods for estimation of bone marrow plasma cell involvement in myeloma: predictive value for response and survival in patients undergoing autologous stem cell transplantation.

Authors:  S V Rajkumar; R Fonseca; A Dispenzieri; M Q Lacy; J A Lust; T E Witzig; T M Therneau; R A Kyle; P R Greipp; M A Gertz
Journal:  Am J Hematol       Date:  2001-12       Impact factor: 10.047

6.  Beta2-microglobulin and bone marrow plasma cell involvement predict complete responders among patients undergoing blood cell transplantation for myeloma.

Authors:  S V Rajkumar; R Fonseca; M Q Lacy; T E Witzig; J A Lust; P R Greipp; T M Therneau; R A Kyle; M R Litzow; M A Gertz
Journal:  Bone Marrow Transplant       Date:  1999-06       Impact factor: 5.483

7.  Immunophenotypic characterization of plasma cells from monoclonal gammopathy of undetermined significance patients. Implications for the differential diagnosis between MGUS and multiple myeloma.

Authors:  M Ocqueteau; A Orfao; J Almeida; J Bladé; M González; R García-Sanz; C López-Berges; M J Moro; J Hernández; L Escribano; D Caballero; M Rozman; J F San Miguel
Journal:  Am J Pathol       Date:  1998-06       Impact factor: 4.307

8.  Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group.

Authors: 
Journal:  Br J Haematol       Date:  2003-06       Impact factor: 6.998

9.  Diagnostic criteria and histologic grading in multiple myeloma: histologic and immunohistologic analysis of 176 cases with clinical correlation.

Authors:  S Sukpanichnant; J B Cousar; A Leelasiri; S E Graber; J P Greer; R D Collins
Journal:  Hum Pathol       Date:  1994-03       Impact factor: 3.466

10.  Review of 1027 patients with newly diagnosed multiple myeloma.

Authors:  Robert A Kyle; Morie A Gertz; Thomas E Witzig; John A Lust; Martha Q Lacy; Angela Dispenzieri; Rafael Fonseca; S Vincent Rajkumar; Janice R Offord; Dirk R Larson; Matthew E Plevak; Terry M Therneau; Philip R Greipp
Journal:  Mayo Clin Proc       Date:  2003-01       Impact factor: 7.616

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  26 in total

1.  Reduction in plasma cell proliferation after initial therapy in newly diagnosed multiple myeloma measures treatment response and predicts improved survival.

Authors:  Jeremy T Larsen; Cheng E Chee; John A Lust; Philip R Greipp; S Vincent Rajkumar
Journal:  Blood       Date:  2011-07-12       Impact factor: 22.113

2.  Minimal residual disease in multiple myeloma.

Authors:  Nikhil C Munshi; Kenneth C Anderson
Journal:  J Clin Oncol       Date:  2013-06-03       Impact factor: 44.544

Review 3.  Consensus in the Management of Multiple Myeloma in India at Myeloma State of the Art 2016 Conference.

Authors:  Uday Yanamandra; Navin Khattry; Shaji Kumar; Noopur Raje; Arihant Jain; Sundar Jagannath; Hari Menon; Lalit Kumar; Neelam Varma; Subhash Varma; Tapan Saikia; Pankaj Malhotra
Journal:  Indian J Hematol Blood Transfus       Date:  2017-01-02       Impact factor: 0.900

4.  New flow cytometry in hematologic malignancies.

Authors:  Jan Cools; Peter Vandenberghe
Journal:  Haematologica       Date:  2009-12       Impact factor: 9.941

5.  Flow cytometric sensitivity and characteristics of plasma cells in patients with multiple myeloma or its precursor disease: influence of biopsy site and anticoagulation method.

Authors:  Elisabet E Manasanch; Dalia A Salem; Constance M Yuan; Nishant Tageja; Manisha Bhutani; Mary Kwok; Dickran Kazandjian; George Carter; Seth M Steinberg; Diamond Zuchlinski; Marcia Mulquin; Katherine Calvo; Irina Maric; Mark Roschewski; Neha Korde; Raul Braylan; Ola Landgren; Maryalice Stetler-Stevenson
Journal:  Leuk Lymphoma       Date:  2014-10-30

Review 6.  Clinical Relevance of Multicolour Flow Cytometry in Plasma Cell Disorders.

Authors:  Gaurav Chatterjee; Sumeet Gujral; Papagudi G Subramanian; Prashant R Tembhare
Journal:  Indian J Hematol Blood Transfus       Date:  2017-04-26       Impact factor: 0.900

7.  Development of an unbiased, semi-automated approach for classifying plasma cell immunophenotype following multicolor flow cytometry of bone marrow aspirates.

Authors:  Steven R Post; Ginell R Post; Dejan Nikolic; Rebecca Owens; Giovanni Insuasti-Beltran
Journal:  Cytometry B Clin Cytom       Date:  2018-04-06       Impact factor: 3.058

8.  Current approaches to the initial treatment of symptomatic multiple myeloma.

Authors:  Jagoda K Jasielec; Andrzej J Jakubowiak
Journal:  Int J Hematol Oncol       Date:  2013-02

9.  Flow cytometric differentiation of abnormal and normal plasma cells in the bone marrow in patients with multiple myeloma and its precursor diseases.

Authors:  Prashant R Tembhare; Constance M Yuan; David Venzon; Raul Braylan; Neha Korde; Elisabet Manasanch; Diamond Zuchlinsky; Katherine Calvo; Roger Kurlander; Manisha Bhutani; Nishant Tageja; Irina Maric; Marcia Mulquin; Mark Roschewski; Mary Kwok; David Liewehr; Ola Landgren; Maryalice Stetler-Stevenson
Journal:  Leuk Res       Date:  2013-12-11       Impact factor: 3.156

10.  Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry.

Authors:  N Puig; M E Sarasquete; A Balanzategui; J Martínez; B Paiva; H García; S Fumero; C Jiménez; M Alcoceba; M C Chillón; E Sebastián; L Marín; M A Montalbán; M V Mateos; A Oriol; L Palomera; J de la Rubia; M B Vidriales; J Bladé; J J Lahuerta; M González; J F S Miguel; R García-Sanz
Journal:  Leukemia       Date:  2013-07-17       Impact factor: 11.528

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