Evidence map›Paper›PMID 34641541›Full record

ArticleMolecules (Basel, Switzerland)2021

Longitudinal Bottom-Up Proteomics of Serum, Serum Extracellular Vesicles, and Cerebrospinal Fluid Reveals Candidate Biomarkers for Early Detection of Glioblastoma in a Murine Model.

Francesco Greco, Federica Anastasi, Luca Fidia Pardini, Marialaura Dilillo, Eleonora Vannini, Laura Baroncelli, Matteo Caleo, Liam A McDonnell

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 21 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

8 authors at 6 institutions in 1 country.

Francesco GrecoInstitute of Life Sciences, Sant'Anna School of Advanced Studies, 56127 Pisa, Italy.ORCID 0000-0001-7059-528X
Federica AnastasiFondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy.ORCID 0000-0002-9304-5421
Luca Fidia PardiniFondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy.
Marialaura DililloFondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy.
Eleonora VanniniCNR, Neuroscience Institute, 56124 Pisa, Italy.
Laura BaroncelliCNR, Neuroscience Institute, 56124 Pisa, Italy.ORCID 0000-0001-6739-2860
Matteo CaleoCNR, Neuroscience Institute, 56124 Pisa, Italy.ORCID 0000-0002-4333-6378
Liam A McDonnellFondazione Pisana per la Scienza ONLUS, 56017 San Giuliano Terme, Italy.ORCID 0000-0003-0595-9491
Fondazione Pisa · ITNeuroscience Institute · ITScuola Normale Superiore · ITScuola Superiore Sant'Anna · ITUniversity of Padua · ITUniversity of Pisa · IT

Funding

Associazione Italiana per la Ricerca sul Cancro #IG18925Fondazione Pisa RST 148/16 - "Nanobiomarker: nanotechnology for tumour molecular fingerprinting and early diagnosis''Fondazione Umberto Veronesi 2019 FelloshipRegione Toscana Grant PAR FAS 2007-2013 - ''Gliomics: proteomics/genomics/metabolomics for the identification of biomarkers and the development of an ultrasensitive sensing platform for peripheral body fluids: applied to glioblastoma multiforme''
6 · The paper itself

Abstract

Glioblastoma Multiforme (GBM) is a brain tumor with a poor prognosis and low survival rates. GBM is diagnosed at an advanced stage, so little information is available on the early stage of the disease and few improvements have been made for earlier diagnosis. Longitudinal murine models are a promising platform for biomarker discovery as they allow access to the early stages of the disease. Nevertheless, their use in proteomics has been limited owing to the low sample amount that can be collected at each longitudinal time point. Here we used optimized microproteomics workflows to investigate longitudinal changes in the protein profile of serum, serum small extracellular vesicles (sEVs), and cerebrospinal fluid (CSF) in a GBM murine model. Baseline, pre-symptomatic, and symptomatic tumor stages were determined using non-invasive motor tests. Forty-four proteins displayed significant differences in signal intensities during GBM progression. Dysregulated proteins are involved in cell motility, cell growth, and angiogenesis. Most of the dysregulated proteins already exhibited a difference from baseline at the pre-symptomatic stage of the disease, suggesting that early effects of GBM might be detectable before symptom onset.

Indexed as

AnimalsBiomarkers, TumorBlood ProteinsBrain NeoplasmsCerebrospinal Fluid ProteinsExtracellular VesiclesFemaleGlioblastomaMaleMiceMice, Inbred C57BLNeoplasms, ExperimentalProteomicsWorkflowBiomarkers, TumorBlood ProteinsCerebrospinal Fluid ProteinsbiomarkersCSFextracellular vesiclesglioblastomalongitudinalproteomicsserum

Identifiers

PMID34641541
PMCPMC8512455
OpenAlexW3204223822

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.