Literature DB >> 7811998

A new staging system for multiple myeloma based on the number of S-phase plasma cells.

J F San Miguel1, R García-Sanz, M González, M J Moro, J M Hernández, F Ortega, D Borrego, M Carnero, F Casanova, R Jiménez.   

Abstract

In the present study, we analyzed the cell cycle distribution of bone marrow (BM) cells in 120 untreated multiple myeloma patients using a DNA/CD38 double-staining technique at flow cytometry in which plasma cells (PCs) can be clearly discriminated from residual BM cells based on their CD38 expression. This approach allows us to determine the proliferative activity of both PCs and residual normal BM cells. The percentage of S-phase cells in the myelomatous population was found to be significantly lower than that of the residual normal BM cells (P < .001). Regarding the proliferative activity of myelomatous cells, patients with a high number of S-phase PCs (> 3%) showed a significantly (P < .05) increased incidence of anemia and hypercalcemia; higher values of beta 2-microglobulin (beta 2M), urea, and creatinine; and higher numbers of peripheral blood natural killer cells, as well as a poor prognosis as assessed both by response duration and overall survival. With respect to the residual BM normal fraction, a low proliferative activity was significantly (P < .05) associated with the presence of anemia and neutropenia together with increased numbers of BM PCs, a higher incidence of Bence Jones myelomas, and DNA diploidy. Multivariate analysis showed that the number of S-phase PCs was the most important independent prognostic factor, allowing us to discriminate two subgroups of patients with different prognoses, even within the same clinical stage. Moreover, the S-phase PCs, together with beta 2M, age, and performance status, represent the best combination of disease characteristics for stratifying patients according to prognosis and allow the establishment of a simple and powerful staging system for multiple myeloma patients. In addition, this classification can be used for planning treatment in patients who are candidates for transplantation.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7811998

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


  18 in total

1.  The albumin and monoclonal protein ratio as prognostic marker for multiple myeloma in the era of novel agents.

Authors:  Katalin Kádár; Krisztina Wolf; Judit Tábori; István Karádi; Judit Várkonyi
Journal:  Pathol Oncol Res       Date:  2012-07       Impact factor: 3.201

2.  Evaluation of Suspected Monoclonal Gammopathies: Experience in a Tertiary Care Hospital.

Authors:  G S Chopra; P K Gupta; D K Mishra
Journal:  Med J Armed Forces India       Date:  2011-07-21

3.  Cancer testis antigen MAGE C1 can be used to monitor levels of circulating malignant stem cells in the peripheral blood of multiple myeloma patients.

Authors:  Karen Shires; Kirsty Wienand
Journal:  J Cancer Res Clin Oncol       Date:  2016-08-31       Impact factor: 4.553

Review 4.  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

5.  Metaphase cytogenetics and plasma cell proliferation index for risk stratification in newly diagnosed multiple myeloma.

Authors:  Patrick W Mellors; Moritz Binder; Rhett P Ketterling; Patricia T Greipp; Linda B Baughn; Jess F Peterson; Dragan Jevremovic; Kathryn E Pearce; Francis K Buadi; Martha Q Lacy; Morie A Gertz; Angela Dispenzieri; Suzanne R Hayman; Prashant Kapoor; Wilson I Gonsalves; Yi L Hwa; Amie Fonder; Miriam Hobbs; Taxiarchis Kourelis; Rahma Warsame; John A Lust; Nelson Leung; Ronald S Go; Robert A Kyle; S Vincent Rajkumar; Shaji K Kumar
Journal:  Blood Adv       Date:  2020-05-26

6.  Proliferation is a central independent prognostic factor and target for personalized and risk-adapted treatment in multiple myeloma.

Authors:  Dirk Hose; Thierry Rème; Thomas Hielscher; Jérôme Moreaux; Tobias Messner; Anja Seckinger; Axel Benner; John D Shaughnessy; Bart Barlogie; Yiming Zhou; Jens Hillengass; Uta Bertsch; Kai Neben; Thomas Möhler; Jean François Rossi; Anna Jauch; Bernard Klein; Hartmut Goldschmidt
Journal:  Haematologica       Date:  2010-09-30       Impact factor: 9.941

7.  Prevalence and management of anaemia in haematologic cancer patients receiving cyclic nonplatinum chemotherapy: results of a prospective national chart survey.

Authors:  Michael Steurer; Helga Wagner; Günther Gastl
Journal:  Wien Klin Wochenschr       Date:  2004-06-30       Impact factor: 1.704

8.  Circulating clonotypic B cells in multiple myeloma and monoclonal gammopathy of undetermined significance.

Authors:  Leandro S Thiago; Martin Perez-Andres; Ana Balanzategui; Maria E Sarasquete; Bruno Paiva; Maria Jara-Acevedo; Paloma Barcena; Maria Luz Sanchez; Julia Almeida; Marcos González; Jesus F San Miguel; Ramón Garcia-Sanz; Alberto Orfao
Journal:  Haematologica       Date:  2013-07-19       Impact factor: 9.941

Review 9.  Management options for cancer therapy-related anaemia.

Authors:  Tim J Littlewood
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

10.  Incidence of chromosome numerical changes in multiple myeloma: fluorescence in situ hybridization analysis using 15 chromosome-specific probes.

Authors:  D Tabernero; J F San Miguel; M Garcia-Sanz; L Nájera; M García-Isidoro; J A Peréz-Simon; M Gonzalez; J Wiegant; A K Raap; A Orfão
Journal:  Am J Pathol       Date:  1996-07       Impact factor: 4.307

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.