Evidence map›Paper›PMID 22953243›Full record

ArticleTranslational cancer research2012

Sensitization of tumor cells to cancer therapy by molecularly targeted inhibition of the inhibitor of nuclear factor κB kinase.

Lijian Shao, Lixian Wu, Daohong Zhou

Abstract read
In one paragraph

Article in Translational cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 1 institution in 1 country.

Lijian ShaoDivision of Radiation Health, Department of Pharmaceutical Sciences, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Lixian Wu
Daohong Zhou
University of Arkansas for Medical Sciences · US

Funding

Cancer Therapy-induced Long-term Bone Marrow InjuryR01CA122023 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI ZHOU, DAOHONG · 2007 to 2018
$3.1M
NCI NIH HHS R01 CA122023
6 · The paper itself

Abstract

The inhibitor of nuclear factor κB kinase (IKK)-nuclear factor κB (NFκB) pathway is one of the most important cellular signal transduction pathways. It can be activated by diverse stimuli, resulting in liberation of cytoplasmic NFκB from inhibition by inhibitors of NFκB (IκB) after IκB are phosphorylated by IKKβ and IKKα via the canonical and non-canonical pathways, respectively. Activated NFκB then translocates into the nucleus to regulate various NFκB target genes. Through regulation of its target genes, NFκB can regulate various physiologic processes such as cell proliferation, migration and survival. More importantly, activation of the IKK-NFκB pathway has been implicated in carcinogenesis, tumor development, progression and metastasis, and cancer resistance to radiotherapy and chemotherapy. Therefore, molecularly targeted inhibition of the different components of this pathway has been widely explored for treatment of cancer either alone or in combination with other cancer therapies. A growing body of evidence suggests that IKKβ may be a better cancer treatment target in this pathway, because several novel NFκB-independent functions of IKKβ have been identified recently, including promotion of DNA double strand break repair to increase tumor cell resistance to ionizing radiation and chemotherapy in an apoptosis-independent manner. In this review, we highlight some of these new findings and discuss the therapeutic potential of IKKβ specific inhibitors as a novel tumor sensitizer.

Identifiers

PMID22953243
PMCPMC3432498
OpenAlexW1961707292

What OpenQuestion holds

Textmetadata
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.