Literature DB >> 18443352

Prognostic value of immunophenotyping in multiple myeloma: a study by the PETHEMA/GEM cooperative study groups on patients uniformly treated with high-dose therapy.

Gema Mateo1, M Angeles Montalbán, Maria-Belén Vidriales, Juan J Lahuerta, Maria V Mateos, Norma Gutiérrez, Laura Rosiñol, Laura Montejano, Joan Bladé, Rafael Martínez, Javier de la Rubia, Joaquín Diaz-Mediavilla, Anna Sureda, José M Ribera, José M Ojanguren, Felipe de Arriba, Luis Palomera, Maria J Terol, Alberto Orfao, Jesús F San Miguel.   

Abstract

PURPOSE: To analyze the prognostic impact of immunophenotyping in patients with multiple myeloma (MM). PATIENTS AND METHODS: We have prospectively analyzed the prognostic impact of antigenic markers, assessed by multiparametric flow cytometry, in a series of 685 newly diagnosed MM patients that were uniformly treated according to the GEM 2000 protocol.
RESULTS: Our results show that expression of both CD19 and CD28 as well as the absence of CD117 were associated with a significantly shorter progression free-survival (PFS) and overall survival (OS). Interestingly, the CD28 expression correlated with t(14;16) and del(17p), while CD117-negative patients were associated with t(4;14) and del(13q). Simultaneous assessment of CD28 and CD117 antigens allowed stratification of patients with MM into three risk categories: poor risk (CD28 positive CD117 negative), intermediate (either both markers negative or both positive), and good risk (CD28 negative CD117 positive), with PFS rates of 30, 37, and 45 months, respectively (P = .01), and OS rates of 45, 68, and not reached, respectively (P = .0001).
CONCLUSION: To the best of our knowledge, this is the first prospective analysis in which the prognostic impact of a relatively high number of antigenic markers has been simultaneously analyzed in a large series of uniformly treated patients, showing that the expression of several antigens (particularly CD28 and CD117) on bone marrow plasma cells from patients with MM can help to identify patients at high risk of progression.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18443352     DOI: 10.1200/JCO.2007.15.4120

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  61 in total

1.  CD117 expression in gammopathies is associated with an altered maturation of the myeloid and lymphoid hematopoietic cell compartments and favorable disease features.

Authors:  Martin Schmidt-Hieber; Martin Pérez-Andrés; Bruno Paiva; Juan Flores-Montero; Jose J Perez; Norma C Gutierrez; Maria-Belen Vidriales; Sergio Matarraz; Jesus F San Miguel; Alberto Orfao
Journal:  Haematologica       Date:  2010-10-22       Impact factor: 9.941

2.  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

3.  EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes.

Authors:  J J M van Dongen; L Lhermitte; S Böttcher; J Almeida; V H J van der Velden; J Flores-Montero; A Rawstron; V Asnafi; Q Lécrevisse; P Lucio; E Mejstrikova; T Szczepański; T Kalina; R de Tute; M Brüggemann; L Sedek; M Cullen; A W Langerak; A Mendonça; E Macintyre; M Martin-Ayuso; O Hrusak; M B Vidriales; A Orfao
Journal:  Leukemia       Date:  2012-05-03       Impact factor: 11.528

4.  Consensus guidelines for myeloma minimal residual disease sample staining and data acquisition.

Authors:  Maryalice Stetler-Stevenson; Bruno Paiva; Lloyd Stoolman; Pei Lin; Jeffrey L Jorgensen; Alberto Orfao; Jacques Van Dongen; Andy C Rawstron
Journal:  Cytometry B Clin Cytom       Date:  2015-07-06       Impact factor: 3.058

Review 5.  How best to use new therapies in multiple myeloma.

Authors:  David Dingli; S Vincent Rajkumar
Journal:  Blood Rev       Date:  2010-04-01       Impact factor: 8.250

6.  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 7.  Immunologic approaches for the treatment of multiple myeloma.

Authors:  Leo Rasche; Niels Weinhold; Gareth J Morgan; Frits van Rhee; Faith E Davies
Journal:  Cancer Treat Rev       Date:  2017-04-06       Impact factor: 12.111

8.  Fatal cerebral hemorrhage in a patient with CD19-positive IgM-producing aggressive plasma cell myeloma, hyperviscosity syndrome and cryoglobulinemia.

Authors:  Adnan Alatoom; Rania Elsabrouty; Jason Willis; Christie Boils; Ravindra Sarode; Ibrahim Hashim; Huan-You Wang
Journal:  Int J Clin Exp Pathol       Date:  2009-02-09

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

Authors:  Bruno Paiva; 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
Journal:  Haematologica       Date:  2009-11       Impact factor: 9.941

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.