Evidence map›Paper›PMID 26534766›Full record

ReviewNeuro-oncology2016

Nuclear factor-κB in glioblastoma: insights into regulators and targeted therapy.

Kirk E Cahill, Ramin A Morshed, Bakhtiar Yamini

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Pooled it
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  20. Transcriptomic Regulation by Astrocytic m6A Methylation in the mPFC.Genes to cells : devoted to molecular & cellular mechanisms · 2025
    Article

42 more citing papers are in PubMed but not listed here.

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.

Kirk E CahillSection of Neurosurgery, Department of Surgery, University of Chicago, Chicago, Illinois.
Ramin A MorshedSection of Neurosurgery, Department of Surgery, University of Chicago, Chicago, Illinois.
Bakhtiar YaminiSection of Neurosurgery, Department of Surgery, University of Chicago, Chicago, Illinois.
University of Chicago · US

Funding

NF-kB1-p50 in the Response to DNA Alkylation DamageR01CA136937 · NCI · UNIVERSITY OF CHICAGO · PI YAMINI, BAKHTIAR · 2009 to 2019
$3.2M
NCI NIH HHS R01CA136937
6 · The paper itself

Abstract

Nuclear factor-κB (NF-κB) is a ubiquitous transcription factor that regulates multiple aspects of cancer formation, growth, and treatment response. Glioblastoma (GBM), the most common primary malignant tumor of the central nervous system, is characterized by molecular heterogeneity, resistance to therapy, and high NF-κB activity. In this review, we examine the mechanisms by which oncogenic pathways active in GBM impinge on the NF-κB system, discuss the role of NF-κB signaling in regulating the phenotypic properties that promote GBM and, finally, review the components of the NF-κB pathway that have been targeted for treatment in both preclinical studies and clinical trials. While a direct role for NF-κB in gliomagenesis has not been reported, the importance of this transcription factor in the overall malignant phenotype suggests that more rational and specific targeting of NF-κB-dependent pathways can make a significant contribution to the management of GBM.

Indexed as

AnimalsBrain NeoplasmsCell ProliferationDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticGlioblastomaHumansNF-kappa BNF-kappa BglioblastomagliomainhibitorNF-κB

Identifiers

PMID26534766
PMCPMC4767244
OpenAlexW2119280418

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.