Automated and simplified identification of normal and abnormal plasma cells in Multiple Myeloma by flow cytometry-Reference-Cited by-同舟云学术

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Automated and simplified identification of normal and abnormal plasma cells in Multiple Myeloma by flow cytometry

Published:2017-09-19 Issue:3 Volume:94 Page:484-492
ISSN:1552-4949
Container-title:Cytometry Part B: Clinical Cytometry
language:en
Short-container-title:Cytometry

Author:

Alaterre Elina¹²,Raimbault Sébastien¹,Garcia Jean-Michel¹,Rème Thierry³,Requirand Guilhem³,Klein Bernard²³⁴,Moreaux Jérôme²³⁴^ORCID

Affiliation:

1. HORIBA Medical; Montpellier France

2. Institute of Human Genetics, UMR 9002 CNRS, University of Montpellier; Montpellier F-34396 France

3. Department of Biological Hematology; CHU Montpellier; Montpellier France

4. University of Montpellier 1, UFR de Médecine; Montpellier France

Funder

DataDiag Project, BPI France

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference46 articles.

1. Multiple myeloma;Raab;Lancet,2009

2. Health care costs and resource utilization, including patient burden, associated with novel-agent-based treatment versus other therapies for multiple myeloma: Findings using real-world claims data;Teitelbaum;Oncologist,2013

3. International uniform response criteria for multiple myeloma;Durie;Leukemia,2006

4. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma;Kumar;Lancet Oncol,2016

5. Better therapy requires better response evaluation: Paving the way for minimal residual disease testing for every myeloma patient;Landgren;Cytometry B Clin Cytom,2016

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1. FCGR3A F158V alleles frequency differs in multiple myeloma patients from healthy population;OncoImmunology;2024-08-18

2. A BCMA/CD16A bispecific innate cell engager for the treatment of multiple myeloma;Leukemia;2022-01-10

3. Malignant plasmacytes in bone marrow detected by flow cytometry as a predictor for the risk stratification system of multiple myeloma;Cytometry Part B: Clinical Cytometry;2021-05-31

4. Correlation between Clinical Factors and Prognosis in Newly Diagnosed Multiple Myeloma;JCPSP-J COLL PHYSICI;2020

5. Minimal Residual Disease Assessment Within the Bone Marrow of Multiple Myeloma: A Review of Caveats, Clinical Significance and Future Perspectives;Frontiers in Oncology;2019-08-20

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