Evidence map›Paper›PMID 34996345›Full record

ArticleClinical proteomics2022

Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics.

Shona Pedersen, Katrine Papendick Jensen, Bent Honoré, Søren Risom Kristensen, Camilla Holm Pedersen, Weronika Maria Szejniuk, Raluca Georgiana Maltesen, Ursula Falkmer

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

24 citing papers in PubMed, 36 citations in OpenAlex.

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  12. The human factor H protein family - an update.Frontiers in immunology · 2024
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  19. The Roles of Exosomal Proteins: Classification, Function, and Applications.International journal of molecular sciences · 2023
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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

8 authors at 5 institutions in 3 countries.

Shona Pedersen *Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, 2713, Doha, Qatar. spedersen@qu.edu.qa.ORCID http://orcid.org/0000-0001-6636-0293
Katrine Papendick Jensen *Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Bent HonoréDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Søren Risom KristensenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Camilla Holm PedersenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Weronika Maria SzejniukDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Raluca Georgiana MaltesenTranslational Radiation Biology and Oncology Laboratory, Centre for Cancer Research, Westmead Institute of Medical Research, Westmead, 2145, Australia.
Ursula FalkmerDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Aalborg University Hospital · DKAalborg University · DKAarhus University · DKQatar University · QAWestmead Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection of small cell lung cancer (SCLC) crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in cancer. Quantitative proteomic profiling of circulating microvesicles and exosomes can be a high-throughput platform for discovery of novel molecular insights and putative markers. Hence, this study aimed to investigate proteome dynamics of plasma-derived microvesicles and exosomes in newly diagnosed SCLC patients to improve early detection.

methodsPlasma-derived microvesicles and exosomes from 24 healthy controls and 24 SCLC patients were isolated from plasma by either high-speed- or ultracentrifugation. Proteins derived from these extracellular vesicles were quantified using label-free mass spectrometry and statistical analysis was carried out aiming at identifying significantly altered protein expressions between SCLC patients and healthy controls. Furthermore, significantly expressed proteins were subjected to functional enrichment analysis to identify biological pathways implicated in SCLC pathogenesis.

resultsBased on fold change (FC) ≥ 2 or ≤ 0.5 and AUC ≥ 0.70 (p < 0.05), we identified 10 common and 16 and 17 unique proteins for microvesicles and exosomes, respectively. Among these proteins, we found dysregulation of coagulation factor XIII A (Log

conclusionsIn comparing SCLC patients and healthy individuals, several differentially expressed proteins were identified. This is the first study showing that circulating extracellular vesicles may encompass specific proteins with potential diagnostic attributes for SCLC, thereby opening new opportunities as novel non-invasive markers.

Indexed as

Potential diagnostic markersProteomicsSmall cell lung cancerTumor-derived exosomesTumor-derived microvesicles

Identifiers

PMID34996345
PMCPMC8903681
OpenAlexW4221076855

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Registered trials

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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.