Evidence map›Paper›PMID 29098465›Full record

ReviewCurrent oncology reports2017

A Metabolic Therapy for Malignant Glioma Requires a Clinical Measure.

Zachary Corbin, Daniel Spielman, Lawrence Recht

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

3 authors at 3 institutions in 1 country.

Zachary CorbinDepartment of Neurology (ZC), Yale University School of Medicine, New Haven, CT, 06520, USA.
Daniel SpielmanDepartment of Radiology (DS), Stanford University School of Medicine, Palo Alto, CA, 94305, USA.
Lawrence RechtDepartment of Neurology & Neurological Sciences (LR), Stanford University School of Medicine, Palo Alto, CA, 94305, USA. LRecht@stanford.edu.
Stanford Medicine · USStanford University · USYale University · US

Funding

Metabolic Therapy of GBM guided by MRS of hyperpolarized 13C-pyruvateR01CA176836 · NCI · STANFORD UNIVERSITY · PI RECHT, LAWRENCE D, SPIELMAN, DANIEL M · 2014 to 2018
$2.8M
Imaging Brain Metabolism Using MRS of Hyperpolarized 13C-PyruvateR01EB019018 · NIBIB · STANFORD UNIVERSITY · PI SPIELMAN, DANIEL M · 2015 to 2018
$2.0M
Hyperpolarizer for 13C MR Metabolic Imaging of Human Subjects and Animal ModelsS10OD012283 · OD · STANFORD UNIVERSITY · PI SPIELMAN, DANIEL M · 2013 to 2013
$2.0M
NCI NIH HHS R01 CA176836NIBIB NIH HHS R01 EB019018NIH HHS S10 OD012283
6 · The paper itself

Abstract

Cancers are "reprogrammed" to use a much higher rate of glycolysis (GLY) relative to oxidative phosphorylation (OXPHOS), even in the presence of adequate amounts of oxygenation. Originally identified by Nobel Laureate Otto Warburg, this hallmark of cancer has recently been termed metabolic reprogramming and represents a way for the cancer tissue to divert carbon skeletons to produce biomass. Understanding the mechanisms that underlie this metabolic shift should lead to better strategies for cancer treatments. Malignant gliomas, cancers that are very resistant to conventional treatments, are highly glycolytic and seem particularly suited to approaches that can subvert this phenotype.

Indexed as

GliomaGlycolysisHumansMetabolismOxidative Phosphorylation1-C13 pyruvate DNP MRSAerobic glycolysisMalignant gliomaMetabolic reprogrammingMetabolic therapyWarburg effect

Identifiers

PMID29098465
OpenAlexW2766862753

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.