Minimal residual disease assessment in multiple myeloma by multiparametric flow cytometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F17%3AE0106559" target="_blank" >RIV/00843989:_____/17:E0106559 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/17:00097851 RIV/65269705:_____/17:00067228
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Minimal residual disease assessment in multiple myeloma by multiparametric flow cytometry
Original language description
Background: Progress in treatment of multiple myeloma extensively increased patient remission rates, so minimal residual disease (MRD) detection becomes essential to assess the effectivity of treatment and depth of complete response. Nowadays, multiparametric flow cytometry (MFC) is the most used method for monitoring of MRD presence in the bone marrow of multiple myeloma patients; however, detection on molecular level can be used as well. It is evident that choice of protocol used for MFC-MRD assessment can significantly affect required results; nevertheless, standardized and highly sensitive approach of “next generation flow” is already available. Although benefit of MRD assessment as an independent predictor of progression-free survival and overall survival is known, very recent research showed that MRD-negative status surpasses the prognostic value of complete response achievement for progression-free survival and overall survival. Aim: This review is focused on use MFC in MRD assessment in multiple myeloma. The technical aspects and clinical benefits of this approach are mentioned as well. Conclusion: The information about MRD level detected by highly sensitive and reproducible MFC can be potentially used as a biomarker to evaluate the efficacy of different treatment strategies, help on treatment decisions and act as a surrogate for overall survival in multiple myeloma patients.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
30204 - Oncology
Result continuities
Project
<a href="/en/project/NV17-30089A" target="_blank" >NV17-30089A: In-depth genomic analysis of residual clone in multiple myeloma: approach for individualized targeted therapy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Klinická onkologie
ISSN
0862-495X
e-ISSN
1802-5307
Volume of the periodical
30
Issue of the periodical within the volume
suppl.2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
1
Pages from-to
2s21-2s28
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85029518178