Evidence map›Paper›PMID 34973000›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2022

Methodological Approaches for Assessing Metabolomic Changes in Glioblastomas.

Trang T T Nguyen, Enyuan Shang, Mike-Andrew Westhoff, Georg Karpel-Massler, Markus D Siegelin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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 3 institutions in 2 countries.

Trang T T NguyenDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA.
Enyuan ShangDepartment of Biological Sciences, Bronx Community College, City University of New York, Bronx, NY, USA.
Mike-Andrew WesthoffDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany.
Georg Karpel-MasslerDepartment of Neurosurgery, Ulm University Medical Center, Ulm, Germany.
Markus D SiegelinDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA. ms4169@cumc.columbia.edu.
Columbia University Irving Medical Center · USUniversität Ulm · DECity University of New York · US

Funding

HDAC Inhibitors Reverse the Warburg Effect and Elicit Metabolic Vulnerabilities in Model Systems of GlioblastomaR01NS113793 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIEGELIN, MARKUS D · 2021 to 2025
$2.0M
Dual Inhibition of Mitochondrial Matrix Chaperones and Anti-Apoptotic Bcl-2 Family Members for Glioblastoma Therapy.R01NS095848 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIEGELIN, MARKUS D · 2016 to 2020
$1.8M
Overcoming apoptotic resistance in glioblastoma by CP-d/n-ATF5, a novel tumor speK08NS083732 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIEGELIN, MARKUS D · 2014 to 2018
$938k
NINDS NIH HHS K08 NS083732NINDS NIH HHS R01 NS095848NINDS NIH HHS R01 NS113793
6 · The paper itself

Abstract

Glioblastoma (GBM), a highly malignant primary brain tumor, inevitably leads to death. In the last decade, a variety of novel molecular characteristics of GBMs were unraveled. The identification of the mutation in the IDH1 and less commonly IDH2 gene was surprising and ever since has nurtured research in the field of GBM metabolism. While initially thought that mutated IDH1 were to act as a loss of function mutation it became clear that it conferred the production of an oncometabolite that in turn substantially reprograms GBM metabolism. While mutated IDH1 represents truly the tip of the iceberg, there are numerous other related observations in GBM that are of significant interest to the field, including the notion that oxidative metabolism appears to play a more critical role than believed earlier. Metabolic zoning is another important hallmark of GBM since it was found that the infiltrative margin that drives GBM progression reveals enrichment of fatty acid derivatives. Consistently, fatty acid metabolism appears to be a novel therapeutic target for GBM. How metabolism in GBM intersects is another pivotal issue that appears to be important for its progression and response and resistance to therapies. In this review, we will summarize some of the most relevant findings related to GBM metabolism and cell death and how these observations are influencing the field. We will provide current approaches that are applied in the field to measure metabolomic changes in GBM models, including the detection of unlabeled and labeled metabolites as well as extracellular flux analysis.

Indexed as

Brain NeoplasmsGlioblastomaHumansIsocitrate DehydrogenaseMutationIsocitrate DehydrogenaseCell deathGlioblastomaIDH1Metabolic reprogrammingMetabolism

Identifiers

PMID34973000
OpenAlexW4206679166

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.