Evidence map›Paper›PMID 32506168›Full record

ReviewCellular and molecular life sciences : CMLS2020

Metabolic heterogeneity and adaptability in brain tumors.

Christian E Badr, Daniel J Silver, Florian A Siebzehnrubl, Loic P Deleyrolle

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–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

51 citing papers in PubMed.

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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

4 authors.

Christian E BadrNeuro-Oncology Division, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Daniel J SilverDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Florian A SiebzehnrublEuropean Cancer Stem Cell Research Institute, Cardiff University School of Biosciences, Cardiff, CF24 4HQ, UK.
Loic P DeleyrolleLillian S. Wells Department of Neurosurgery, Preston A. Wells, Jr. Center for Brain Tumor Therapy, University of Florida, Gainesville, FL, USA. loic.deleyrolle@neurosurgery.ufl.edu.ORCID http://orcid.org/0000-0002-1129-744X

Funding

Targeting the Vasular SystemP50CA165962 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Benjamin Harris Kann · 2013 to 2026
$33.5M
American Brain Tumor Association DG1800014Florida Center for Brain Tumor Research & Accelerate Brain Cancer Cure P0058849Medical Research Council MR/S007709/1NCI NIH HHS P50 CA165962Pray for Dominic St Baldrick's Research Grant 638733UFHCC Cancer Therapeutics & Host Response Research grant 00096885
6 · The paper itself

Abstract

The metabolic complexity and flexibility commonly observed in brain tumors, especially glioblastoma, is fundamental for their development and progression. The ability of tumor cells to modify their genetic landscape and adapt metabolically, subverts therapeutic efficacy, and inevitably instigates therapeutic resistance. To overcome these challenges and develop effective therapeutic strategies targeting essential metabolic processes, it is necessary to identify the mechanisms underlying heterogeneity and define metabolic preferences and liabilities of malignant cells. In this review, we will discuss metabolic diversity in brain cancer and highlight the role of cancer stem cells in regulating metabolic heterogeneity. We will also highlight potential therapeutic modalities targeting metabolic vulnerabilities and examine how intercellular metabolic signaling can shape the tumor microenvironment.

Indexed as

Genetic HeterogeneityBrain NeoplasmsGlioblastomaGlycolysisHumansMetabolismNeoplastic Stem CellsSignal TransductionTumor MicroenvironmentCell communicationGliomaImmune cellsMetabolismSlow-cycling cellsTumor initiating cellsTumor microenvironment (TME)

Identifiers

PMID32506168
PMCPMC8272080

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.