Evidence map›Paper›PMID 34570453›Full record

ArticleCancer journal (Sudbury, Mass.)

Clinical Targeting of Altered Metabolism in High-Grade Glioma.

Andrew J Scott, Costas A Lyssiotis, Daniel R Wahl

Open access · greenAbstract read
In one paragraph

Article in Cancer journal (Sudbury, Mass.). 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
1.5field-weighted citation impact, top 17% 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, 15 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Andrew J ScottFrom the Department of Radiation Oncology, University of Michigan Rogel Cancer Center.
Costas A Lyssiotis
Daniel R WahlFrom the Department of Radiation Oncology, University of Michigan Rogel Cancer Center.
University of Michigan–Ann Arbor · US

Funding

Targeting Nucleotide Metabolism to Overcome Therapy Resistance in GlioblastomaR37CA258346 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Daniel R Wahl · 2021 to 2026
$3.3M
Stromal metabolism promotes therapeutic resistance in pancreatic cancerR01CA248160 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LYSSIOTIS, COSTAS ANDREAS · 2020 to 2024
$2.0M
Targeting metabolic stress to induce pancreatic tumor cell deathR01CA244931 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LYSSIOTIS, COSTAS ANDREAS · 2020 to 2024
$1.9M
De Novo Nucleotide Synthesis as a Mediator of Radiation Resistance and a Therapeutic Target in GlioblastomaK08CA234416 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WAHL, DANIEL R · 2019 to 2023
$1.1M
Targeting purine biosynthesis to radiosensitize glioblastomaF32CA260735 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCOTT, ANDREW JOSEPH · 2021 to 2023
$185k
NCI NIH HHS F32 CA260735NCI NIH HHS K08 CA234416NCI NIH HHS L30 CA209251NCI NIH HHS R01 CA244931NCI NIH HHS R01 CA248160NCI NIH HHS R37 CA258346
6 · The paper itself

Abstract

abstractHigh-grade gliomas are among the deadliest of all cancers despite standard treatments, and new therapeutic strategies are needed to improve patient outcome. Targeting the altered metabolic state of tumors with traditional chemotherapeutic agents has a history of success, and our increased understanding of cellular metabolism in the past 2 decades has reinvigorated the concept of novel metabolic therapies in brain tumors. Here we highlight metabolic alterations in advanced gliomas and their translation into clinical trials using both novel agents and already established drugs repurposed for cancer treatment in an effort to improve outcome for these deadly diseases.

Indexed as

Antineoplastic AgentsBrain NeoplasmsGliomaHumansAntineoplastic Agents

Identifiers

PMID34570453
PMCPMC8480512
OpenAlexW3201864679

What OpenQuestion holds

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LicenceTDM
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.