Evidence map›Paper›PMID 36984801›Full record

ArticleMetabolites2023

Bioenergetic Profiling in Glioblastoma Multiforme Patients with Different Clinical Outcomes.

Vivi Bafiti, Sotiris Ouzounis, Eleni Siapi, Ioanna Maria Grypari, Andreas Theofanopoulos, Vasilios Panagiotopoulos, Vasiliki Zolota, Dimitrios Kardamakis, Theodora Katsila

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 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
1.1field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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  5. Article
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

9 authors at 3 institutions in 1 country.

Vivi BafitiInstitute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece.ORCID 0000-0002-7811-3764
Sotiris OuzounisInstitute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece.ORCID 0000-0001-7541-6885
Eleni SiapiInstitute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece.
Ioanna Maria GrypariDepartment of Pathology, School of Medicine, University of Patras, 26504 Patras, Greece.
Andreas TheofanopoulosDepartment of Neurosurgery, University Hospital of Patras, 26504 Patras, Greece.ORCID 0000-0001-5516-502X
Vasilios PanagiotopoulosDepartment of Neurosurgery, University Hospital of Patras, 26504 Patras, Greece.
Vasiliki ZolotaDepartment of Pathology, School of Medicine, University of Patras, 26504 Patras, Greece.
Dimitrios KardamakisDepartment of Radiation Oncology, University of Patras Medical School, 26504 Patras, Greece.ORCID 0000-0002-5476-6752
Theodora KatsilaInstitute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece.ORCID 0000-0002-6263-4231
National Hellenic Research Foundation · GRUniversity of Patras · GRGeneral University Hospital of Patras · GR

Funding

This research is supported by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepre-neur- ship and Innovation, under the call RESEARCH-CREATE-INNOVATE T2EDK-03153
6 · The paper itself

Abstract

The accumulation of cell biomass is associated with dramatically increased bioenergetic and biosynthetic demand. Metabolic reprogramming, once thought as an epiphenomenon, currently relates to disease progression, also in response to extracellular fate-decisive signals. Glioblastoma multiforme patients often suffer misdiagnosis, short survival time, low quality of life, and poor disease management options. Today, tumor genetic testing and histological analysis guide diagnosis and treatment. We and others appreciate that metabolites complement translational biomarkers and molecular signatures in disease profiling and phenotyping. Herein, we coupled a mixed-methods content analysis to a mass spectrometry-based untargeted metabolomic analysis on plasma samples from glioblastoma multiforme patients to delineate the role of metabolic remodeling in biological plasticity and, hence, disease severity. Following data processing and analysis, we established a bioenergetic profile coordinated by the mitochondrial function and redox state, lipids, and energy substrates. Our findings show that epigenetic modulators are key players in glioblastoma multiforme cell metabolism, in particular when microRNAs are considered. We propose that biological plasticity in glioblastoma multiforme is a mechanism of adaptation and resistance to treatment which is eloquently revealed by bioenergetics.

Indexed as

bioenergeticsdrug repurposingepigenetic modulatorsglioblastoma multiformemetabolic reprogrammingoncometabolismtranslational biomarkersuntargeted metabolomics

Identifiers

PMID36984801
PMCPMC10051505
OpenAlexW4322628701

What OpenQuestion 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 OpenQuestion graph.