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Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
372
Differences in the proteome within extracellular vesicles between premalignant and malignant plasma cell disorders
Patrick M Vanderboom1, Yogesh Chawla2, Surendra Dasari3
1Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota, USA.
European Journal of Haematology
|May 28, 2024
Summary
Extracellular vesicles (EVs) from multiple myeloma (MM) patients show elevated CD71 and SAA proteins, aiding in early disease detection. This research identifies novel biomarkers for MM progression from precursor conditions.
Area of Science:
- Hematology
- Oncology
- Biochemistry
Background:
- Monoclonal gammopathy of undetermined significance (MGUS) precedes multiple myeloma (MM).
- Early identification of MGUS patients progressing to MM requires novel biomarkers.
- Plasma-derived extracellular vesicles (EVs) are potential sources of MM biomarkers.
Purpose of the Study:
- To isolate and analyze small EVs (SEVs) and large EVs (LEVs) from MGUS and MM patients.
- To identify protein biomarkers within EVs for MM diagnosis and prognosis.
- To investigate the role of EVs in MM pathogenesis.
Main Methods:
- Isolation of SEVs and LEVs from peripheral blood plasma of MGUS and MM patients using size exclusion chromatography.
- Proteomic analysis of isolated EVs using a label-free workflow.
- Quantification and comparison of protein expression between MGUS and MM patient-derived EVs.
Main Results:
- 2055 proteins identified in SEVs and 2794 in LEVs.
- Transferrin receptor (CD71) was upregulated in MM-derived EVs (SEVs and LEVs) and showed prognostic significance.
- Serum amyloid A proteins (SAA1, SAA2, SAA4) were highly upregulated in SEVs from MM patients.
- CD40 expression was higher in LEVs from MM patients compared to MGUS patients.
Conclusions:
- Successful isolation of SEVs and LEVs from plasma of patients with plasma cell disorders.
- Identified protein biomarkers (CD71, SAA, CD40) in EVs with potential diagnostic and prognostic value for MM.
- Demonstrated the feasibility of using EV proteomics for understanding MM biology.

