Evidence map›Paper›PMID 37798728›Full record

SynthesisBMC cancer2023

Shooting the messenger: a systematic review investigating extracellular vesicle isolation and characterisation methods and their influence on understanding extracellular vesicles-radiotherapy interactions in glioblastoma.

Stephen David Robinson, Mark Samuels, William Jones, Duncan Gilbert, Giles Critchley, Georgios Giamas

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
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 at 3 institutions in 1 country.

Stephen David RobinsonDepartment of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG). s.d.robinson@sussex.ac.uk.
Mark SamuelsDepartment of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG).
William JonesDepartment of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG).
Duncan GilbertSussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, UK, (SDR, DG).
Giles CritchleyDepartment of Neurosurgery, University Hospitals Sussex NHS Foundation Trust, Brighton, UK, (GC).
Georgios GiamasDepartment of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9QG, UK, (SDR, MS, WJ, GG).
University of Sussex · GBUniversity Hospitals Sussex NHS Foundation Trust · GBMedical Research Council · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtracellular vesicles (EVs) hold promise for improving our understanding of radiotherapy response in glioblastoma due to their role in intercellular communication within the tumour microenvironment (TME). However, methodologies to study EVs are evolving with significant variation within the EV research community.

methodsWe conducted a systematic review to critically appraise EV isolation and characterisation methodologies and how this influences our understanding of the findings from studies investigating radiotherapy and EV interactions in glioblastoma. 246 articles published up to 24/07/2023 from PubMed and Web of Science were identified using search parameters related to radiotherapy, EVs, and glioblastoma. Two reviewers evaluated study eligibility and abstracted data.

resultsIn 26 articles eligible for inclusion (16 investigating the effects of radiotherapy on EVs, five investigating the effect of EVs on radiation response, and five clinical studies), significant heterogeneity and frequent omission of key characterisation steps was identified, reducing confidence that the results are related to EVs and their cargo as opposed to co-isolated bioactive molecules. However, the results are able to clearly identify interactions between EVs and radiotherapy bi-directionally within different cell types within the glioblastoma TME. These interactions facilitate transferable radioresistance and oncogenic signalling, highlighting that EVs are an important component in the variability of glioblastoma radiotherapy response.

conclusionsFuture multi-directional investigations interrogating the whole TME are required to improve subsequent clinical translation, and all studies should incorporate up to date controls and reporting requirements to increase the validity of their findings. This would be facilitated by increased collaboration between less experienced and more experienced EV research groups.

Indexed as

Extracellular VesiclesGlioblastomaCell CommunicationHumansSignal TransductionTumor MicroenvironmentExtracellular vesiclesGlioblastomaRadiotherapy

Identifiers

PMID37798728
PMCPMC10552223
OpenAlexW4387372877

What Socratic holds

Textmetadata
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 Socratic graph.