Evidence map›Paper›PMID 30793499›Full record

ReviewProteomics2019

Protein Composition Reflects Extracellular Vesicle Heterogeneity.

Tatyana Vagner, Andrew Chin, Javier Mariscal, Serguei Bannykh, David M Engman, Dolores Di Vizio

Abstract readReview
In one paragraph

Review in Proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Review
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  8. Designing nucleic acid-based therapeutics for cancer treatment: Updates on the state of the art.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Nanobiotechnologies for stroke treatment.Nanomedicine (London, England) · 2025
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review

9 more citing papers are in PubMed but not listed here.

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

6 authors.

Tatyana VagnerDepartment of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Andrew ChinDepartment of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Javier MariscalDepartment of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Serguei BannykhDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
David M EngmanDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Dolores Di VizioDepartment of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.

Funding

Molecular Mechanisms of Large Oncosome-Induced Prostate Cancer Progression and MetastasisR01CA234557 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES · 2019 to 2023
$2.3M
High-throughput palmitoyl-proteomics profiling of extracellular vesicles for identification of biomarkers for early detection of clinically significant prostate cancerR01CA218526 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES, HURLEY, PAULA JILL · 2017 to 2021
$2.0M
NCI NIH HHS R01 CA234557NIH HHS Development Project from P50 CA092131NIH HHS R01CA218526
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are membrane-enclosed particles that are released by virtually all cells from all living organisms. EVs shuttle biologically active cargo including protein, RNA, and DNA between cells. When shed by cancer cells, they function as potent intercellular messangers with important functional consequences. Cells produce a diverse spectrum of EVs, spanning from small vesicles of 40-150 nm in diameter, to large vesicles up to 10 μm in diameter. While this diversity was initially considered to be purely based on size, it is becoming evident that different classes of EVs, and different populations within one EV class may harbor distinct molecular cargo and play specific functions. Furthermore, there are considerable cell type-dependent differences in the cargo and function of shed EVs. This review focuses on the most recent proteomic studies that have attempted to capture the EV heterogeneity by directly comparing the protein composition of different EV classes and EV populations derived from the same cell source. Recent studies comparing protein composition of the same EV class(es) derived from different cell types are also summarized. Emerging approaches to study EV heterogeneity and their important implications for future studies are also discussed.

Indexed as

ExosomesExtracellular VesiclesHumansProteomicsbiomarkerscancerextracellular vesiclesheterogeneityprotein profiling

Identifiers

PMID30793499
PMCPMC7521840

What OpenQuestion holds

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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.