Evidence map›Paper›PMID 36202098›Full record

ReviewAnnual review of pathology2023

Tumor-Derived Extracellular Vesicles: Multifunctional Entities in the Tumor Microenvironment.

James W Clancy, Crislyn D'Souza-Schorey

Abstract readReview
In one paragraph

Review in Annual review of pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
–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

103 citing papers in PubMed, 1 synthesis or guideline pooled it.

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43 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.

James W ClancyDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA; email: jclancy3@nd.edu, cdsouzas@nd.edu.
Crislyn D'Souza-SchoreyDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA; email: jclancy3@nd.edu, cdsouzas@nd.edu.

Funding

New approaches to study tumor microvesiclesR03CA273469 · NCI · UNIVERSITY OF NOTRE DAME · PI D'SOUZA-SCHOREY, CRISLYN · 2022 to 2023
$157k
NCI NIH HHS R03 CA273469
6 · The paper itself

Abstract

Tumor cells release extracellular vesicles (EVs) that can function as mediators of intercellular communication in the tumor microenvironment. EVs contain a host of bioactive cargo, including membrane, cytosolic, and nuclear proteins, in addition to noncoding RNAs, other RNA types, and double-stranded DNA fragments. These shed vesicles may deposit paracrine information and can also be taken up by stromal cells, causing the recipient cells to undergo phenotypic changes that profoundly impact diverse facets of cancer progression. For example, this unique form of cellular cross talk helps condition the premetastatic niche, facilitates evasion of the immune response, and promotes invasive and metastatic activity. These findings, coupled with those demonstrating that the number and content of EVs produced by tumors can vary depending on their tumor of origin, disease stage, or response to therapy, have raised the exciting possibility that EVs can be used for risk stratification, diagnostic, and even prognostic purposes. We summarize recent developments and the current knowledge of EV cargoes, their impact on disease progression, and implementation of EV-based liquid biopsies as tumor biomarkers.

Indexed as

Extracellular VesiclesNeoplasmsDisease ProgressionHumansTumor Microenvironmentcarcinoma-associated fibroblastscell migrationEV cargoesexosomesextracellular vesiclesliquid biopsiesmicrovesiclestumor-infiltrating cellstumor invasion

Identifiers

PMID36202098
PMCPMC10410237

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.