Evidence map›Paper›PMID 35013578›Full record

ReviewBritish journal of cancer2022

Utilising extracellular vesicles for early cancer diagnostics: benefits, challenges and recommendations for the future.

Ryan Charles Pink, Ellie-May Beaman, Priya Samuel, Susan Ann Brooks, David Raul Francisco Carter

Open access · greenAbstract readReview
In one paragraph

Review in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 53 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ryan Charles PinkDepartment of Biological and Medical Sciences, Faculty of Health & Life Sciences, Oxford Brookes University, Oxford, UK. rpink@brookes.ac.uk.ORCID http://orcid.org/0000-0002-9583-0706
Ellie-May BeamanDepartment of Biological and Medical Sciences, Faculty of Health & Life Sciences, Oxford Brookes University, Oxford, UK.
Priya SamuelDepartment of Biological and Medical Sciences, Faculty of Health & Life Sciences, Oxford Brookes University, Oxford, UK.
Susan Ann BrooksDepartment of Biological and Medical Sciences, Faculty of Health & Life Sciences, Oxford Brookes University, Oxford, UK.
David Raul Francisco CarterDepartment of Biological and Medical Sciences, Faculty of Health & Life Sciences, Oxford Brookes University, Oxford, UK.
Oxford Brookes University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To increase cancer patient survival and wellbeing, diagnostic assays need to be able to detect cases earlier, be applied more frequently, and preferably before symptoms develop. The expansion of blood biopsy technologies such as detection of circulating tumour cells and cell-free DNA has shown clinical promise for this. Extracellular vesicles released into the blood from tumour cells may offer a snapshot of the whole of the tumour. They represent a stable and multifaceted complex of a number of different types of molecules including DNA, RNA and protein. These represent biomarker targets that can be collected and analysed from blood samples, offering great potential for early diagnosis. In this review we discuss the benefits and challenges of the use of extracellular vesicles in this context and provide recommendations on where this developing field should focus their efforts to bring future success.

Indexed as

AnimalsBiomarkers, TumorCell-Free Nucleic AcidsEarly Detection of CancerExtracellular VesiclesHumansLiquid BiopsyNeoplasmsNeoplastic Cells, CirculatingBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID35013578
PMCPMC8810954
OpenAlexW4205850452

What OpenQuestion holds

Textmetadata
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.