Evidence map›Paper›PMID 38804098›Full record

ArticleEuropean journal of haematology2024

Differences in the proteome within extracellular vesicles between premalignant and malignant plasma cell disorders.

Patrick M Vanderboom, Yogesh Chawla, Surendra Dasari, Isha Kapoor, Shaji K Kumar, K Sreekumaran Nair, Wilson I Gonsalves

Abstract read
In one paragraph

Article in European journal of haematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Patrick M VanderboomDepartment of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-1341-1733
Yogesh ChawlaDepartment of Hematology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-6679-518X
Surendra DasariHSR, Mayo Clinic, Rochester, Minnesota, USA.
Isha KapoorDepartment of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
Shaji K KumarDepartment of Hematology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-5392-9284
K Sreekumaran NairDepartment of Endocrinology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-0649-9469
Wilson I GonsalvesDepartment of Hematology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-6890-969X

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Peter Leif Bergsagel · 2015 to 2026
$25.5M
Assessment of Metabolites Among Asymptomatic Precursor and Malignant Monoclonal GammopathiesR01CA254961 · NCI · MAYO CLINIC ROCHESTER · PI GONSALVES, WILSON · 2021 to 2024
$1.5M
Marion Schwartz Foundation for Multiple MyelomaMayo Clinic Hematological Malignancies ProgramNational Center for Advancing Translational Sciences (NCATS) CTSA Grant UL1 TR000135NCATS NIH HHS UL1 TR000135NCI NIH HHS P50 CA186781NCI NIH HHS R01 CA254961
6 · The paper itself

Abstract

backgroundPrecursor plasma cell disorders such as monoclonal gammopathy of undetermined significance (MGUS) always precede the development of active malignancies such as multiple myeloma (MM). There is a need for novel biomarkers to identify those patients with such precursor plasma cell disorders who rapidly progress to MM. Plasma-derived extracellular vesicles (EVs) may serve as a reservoir of potential biomarkers that can shed light on the pathogenesis and disease biology of MM.

methodsThis study isolated small EVs (SEVs) and large EVs (LEVs) from the platelet-poor peripheral blood plasma of MGUS (n = 9) and MM (n = 12) patients using the size exclusion chromatography-based method and evaluated their proteome using a label-free proteomics workflow.

resultsIn total, 2055 proteins were identified in SEVs, while 2794 proteins were identified in LEVs. The transferrin receptor (or CD71) protein was upregulated in both populations of EVs derived from MM patients compared to MGUS patients and was of prognostic significance. Similarly, three isoforms of serum amyloid A (SAA) protein, SAA1, SAA2, and SAA4, were also highly upregulated in SEVs within MM patients relative to MGUS patients. Finally, CD40 expression was also higher in the LEVs derived from MM patients than in MGUS patients.

conclusionsThis study demonstrates the feasibility of successfully isolating both SEVs and LEVs from the peripheral blood of patients with plasma cell disorders and quantifying protein biomarkers within these EVs that could be of prognostic and diagnostic interest.

Indexed as

Extracellular VesiclesMonoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaProteomeProteomicsAgedBiomarkersBiomarkers, TumorFemaleHumansMaleMiddle AgedPrecancerous ConditionsPrognosisBiomarkersBiomarkers, TumorProteomeexosomeMGUSmicrovesiclemultiple myelomaproteome

Identifiers

PMID38804098
PMCPMC11296916

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.