Evidence map›Paper›PMID 21174094›Full record

ReviewSeminars in immunopathology2011

Exosomes: immune properties and potential clinical implementations.

Nathalie Chaput, Clotilde Théry

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06342427 (Early Detection of Stomach Cancer With a Liquid Biopsy Based on Exosomal Micro-RNA), which is not on this map. Cited by 287 papers.

0numbers the graph read from it
0cells of the map it votes in
287citing papers in PubMed
11.4field-weighted citation impact, top 1% 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.

NCT06342427 completednot on this mapstarted 2023, after this paper: background citation

Early Detection of Stomach Cancer With a Liquid Biopsy Based on Exosomal Micro-RNA

TypeobservationalSponsorCity of Hope Medical CenterRan2023 to 2024Enrolled809ConditionsGastric Cancer, Gastric Adenocarcinoma, Gastric Cancer Stage, Gastric NeoplasmArmsDESTINEX
3 · Its place in the literature

Who cites it

287 citing papers in PubMed, 565 citations in OpenAlex.

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227 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

2 authors at 2 institutions in 1 country.

Nathalie ChaputInstitut National de la Santé et de la Recherche Médicale U1015, Villejuif, 94805, France.
Clotilde Théry
Inserm · FRInstitut Curie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To communicate, cells are known to release in their environment proteins which bind to receptors on surrounding cells. But cells also secrete more complex structures, called membrane vesicles, composed of a lipid bilayer with inserted transmembrane proteins, enclosing an internal content of hydrophilic components. Exosomes represent a specific subclass of such secreted membrane vesicles, which, despite having been described more than 20 years ago by two groups studying reticulocyte maturation, have only recently received attention from the scientific community. This renewed interest originated first from the description of exosome secretion by antigen-presenting cells, suggesting a potential role in immune responses, and very recently by the identification of the presence of RNA (both messenger and microRNA) in exosomes, suggesting a potential transfer of genetic information between cells. In this review, we will describe the conclusions of 20 years of studies on the immune properties of exosomes and the most recent advances on their roles and potential uses as markers or as therapeutic tools during pathologies, especially in cancer.

Indexed as

AnimalsAntigen PresentationAntigen-Presenting CellsBiological TransportCell CommunicationCommunicable DiseasesExosomesHumansImmunotherapyNeoplasms

Identifiers

PMID21174094
OpenAlexW2020992406

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.