Liquid biopsy of peripheral blood using mass spectrometry detects primary extramedullary disease in multiple myeloma patients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F24%3A00079926" target="_blank" >RIV/00209805:_____/24:00079926 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/24:00136879 RIV/61988987:17110/24:A25039MR RIV/65269705:_____/24:00080334 RIV/00843989:_____/24:E0111072
Result on the web
<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11322162/" target="_blank" >https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11322162/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-024-69408-1" target="_blank" >10.1038/s41598-024-69408-1</a>
Alternative languages
Result language
angličtina
Original language name
Liquid biopsy of peripheral blood using mass spectrometry detects primary extramedullary disease in multiple myeloma patients
Original language description
Multiple myeloma (MM) is the second most prevalent hematological malignancy, characterized by infiltration of the bone marrow by malignant plasma cells. Extramedullary disease (EMD) represents a more aggressive condition involving the migration of a subclone of plasma cells to paraskeletal or extraskeletal sites. Liquid biopsies could improve and speed diagnosis, as they can better capture the disease heterogeneity while lowering patients' discomfort due to minimal invasiveness. Recent studies have confirmed alterations in the proteome across various malignancies, suggesting specific changes in protein classes. In this study, we show that MALDI-TOF mass spectrometry fingerprinting of peripheral blood can differentiate between MM and primary EMD patients. We constructed a predictive model using a supervised learning method, partial least squares-discriminant analysis (PLS-DA) and evaluated its generalization performance on a test dataset. The outcome of this analysis is a method that predicts specifically primary EMD with high sensitivity (86.4%), accuracy (78.4%), and specificity (72.4%). Given the simplicity of this approach and its minimally invasive character, this method provides rapid identification of primary EMD and could prove helpful in clinical practice.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30204 - Oncology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific reports
ISSN
2045-2322
e-ISSN
2045-2322
Volume of the periodical
14
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
18777
UT code for WoS article
001318393400059
EID of the result in the Scopus database
2-s2.0-85201286837