Evidence map›Paper›PMID 38212481›Full record

ArticleBritish journal of cancer2024

Glioblastoma biomarkers in urinary extracellular vesicles reveal the potential for a 'liquid gold' biopsy.

Susannah M Hallal, Ágota Tűzesi, Liam A Sida, Elissa Xian, Daniel Madani, Krishna Muralidharan, Brindha Shivalingam, Michael E Buckland, Laveniya Satgunaseelan, Kimberley L Alexander

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 32 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

10 authors at 2 institutions in 1 country.

Susannah M Hallal *Brain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
Ágota Tűzesi *Department of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.ORCID 0000-0002-6828-8886
Liam A SidaSchool of Medical Sciences, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW, Australia.
Elissa XianBrain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
Daniel MadaniBrain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
Krishna MuralidharanBrain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
Brindha ShivalingamBrain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
Michael E BucklandDepartment of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Laveniya SatgunaseelanBrain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.ORCID 0000-0002-7435-0834
Kimberley L AlexanderBrain Cancer Research, Neurosurgery Department, Chris O'Brien Lifehouse, Camperdown, NSW, Australia. Kim.Alexander@lh.org.au.ORCID 0000-0002-7239-039X
The University of Sydney · AURoyal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarkers that reflect glioblastoma tumour activity and treatment response are urgently needed to help guide clinical management, particularly for recurrent disease. As the urinary system is a major clearance route of circulating extracellular vesicles (EVs; 30-1000 nm nanoparticles) we explored whether sampling urinary-EVs could serve as a simple and non-invasive liquid biopsy approach for measuring glioblastoma-associated biomarkers.

methodsFifty urine specimens (15-60 ml) were collected from 24 catheterised glioblastoma patients immediately prior to primary (n = 17) and recurrence (n = 7) surgeries, following gross total resection (n = 9), and from age/gender-matched healthy participants (n = 14). EVs isolated by differential ultracentrifugation were characterised and extracted proteomes were analysed by high-resolution data-independent acquisition liquid chromatography tandem mass spectrometry (DIA-LC-MS/MS).

resultsOverall, 6857 proteins were confidently identified in urinary-EVs (q-value ≤ 0.01), including 94 EV marker proteins. Glioblastoma-specific proteomic signatures were determined, and putative urinary-EV biomarkers corresponding to tumour burden and recurrence were identified (FC ≥ | 2 | , adjust p-val≤0.05, AUC > 0.9).

conclusionIn-depth DIA-LC-MS/MS characterisation of urinary-EVs substantiates urine as a viable source of glioblastoma biomarkers. The promising 'liquid gold' biomarker panels described here warrant further investigation.

Indexed as

Extracellular VesiclesGlioblastomaBiomarkersChromatography, LiquidHumansLiquid BiopsyProteomicsTandem Mass SpectrometryBiomarkers

Identifiers

PMID38212481
PMCPMC10912426
OpenAlexW4390748646

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LicenceCC BY
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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.