Evidence map›Paper›PMID 31405017›Full record

ReviewCells2019

Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics.

Artemiy S Silantyev, Luca Falzone, Massimo Libra, Olga I Gurina, Karina Sh Kardashova, Taxiarchis K Nikolouzakis, Alexander E Nosyrev, Christopher W Sutton, Panayiotis D. Mitsias, Aristides Tsatsakis

Abstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 3 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

117 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Diagnostic Accuracy of Artificial Intelligence for Predicting MGMT Promoter Methylation in Glioblastoma Using MR Imaging: A Systematic Review.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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  12. Advancements in nanotheranostics for glioma therapy.Naunyn-Schmiedeberg's archives of pharmacology · 2025
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57 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

10 authors.

Artemiy S SilantyevN. I. Pirogov Russian National Medical University, Russian Federal Ministry of Health, 117997 Moscow, Russia
Luca FalzoneDepartment of Biomedical and Biotechnlogical Sciences, University of Catania, 95123 Catania, Italy
Massimo LibraDepartment of Biomedical and Biotechnlogical Sciences, University of Catania, 95123 Catania, Italy
Olga I GurinaDepartment of Fundamental and Applied Neurobiology, Serbsky National Research Center for Social and Forensic Psychiatry, Ministry of Health and Social Development of the Russian Federation, 119034 Moscow, Russia.
Karina Sh KardashovaDepartment of Fundamental and Applied Neurobiology, Serbsky National Research Center for Social and Forensic Psychiatry, Ministry of Health and Social Development of the Russian Federation, 119034 Moscow, Russia.
Taxiarchis K NikolouzakisLaboratory of Anatomy-Histology-Embryology, Medical School of Heraklion, University of Crete, Voutes, 71110 Heraklion, Crete, Greece.
Alexander E NosyrevFederal State Institution V. P. Serbsky Federal Medical Research Center of Psychiatry and Narcology National Scientific Research Center on Addictions of the Ministry of Healthcare of the Russian Federation, 119002 Moscow, Russia
Christopher W SuttonInstitute of Cancer Therapeutics, University of Bradford, West Yorkshire BD7 1DP, UK.
Panayiotis D. MitsiasDepartment of Neurology, School of Medicine, University of Crete, 71110 Heraklion, Crete, Greece.
Aristides TsatsakisCentre of Toxicology Science and Research, Faculty of Medicine, University of Crete, 71003 Heraklion, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous system. Due to the absence of effective pharmacological and surgical treatments, the identification of early diagnostic and prognostic biomarkers is of key importance to improve the survival rate of patients and to develop new personalized treatments. On these bases, the aim of this review article is to summarize the current knowledge regarding the application of molecular biology and proteomics techniques for the identification of novel biomarkers through the analysis of different biological samples obtained from glioblastoma patients, including DNA, microRNAs, proteins, small molecules, circulating tumor cells, extracellular vesicles, etc. Both benefits and pitfalls of molecular biology and proteomics analyses are discussed, including the different mass spectrometry-based analytical techniques, highlighting how these investigation strategies are powerful tools to study the biology of glioblastoma, as well as to develop advanced methods for the management of this pathology.

Indexed as

ProteomicsAnimalsBiomarkers, TumorGlioblastomaHumansMolecular BiologyNeoplasm ProteinsBiomarkers, TumorNeoplasm ProteinsbiomarkersDNAmass spectrometrymetabolomicsmiRNAsproteinsproteomics

Identifiers

PMID31405017
PMCPMC6721640

What OpenQuestion holds

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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.