Evidence map›Paper›PMID 37372456›Full record

ArticleGenes2023

Suppression of NANOG Expression Reduces Drug Resistance of Cancer Stem Cells in Glioblastoma.

Jonhoi Smith, Melvin Field, Kiminobu Sugaya

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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.

Jonhoi SmithBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA.
Melvin FieldBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-2673-8746
Kiminobu SugayaBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-2788-5457
University of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is an aggressive and incurable primary brain tumor that harbors therapy-resistant cancer stem cells (CSCs). Due to the limited effectiveness of conventional chemotherapies and radiation treatments against CSCs, there is a critical need for the development of innovative therapeutic approaches. Our previous research revealed the significant expression of embryonic stemness genes, NANOG and OCT4, in CSCs, suggesting their role in enhancing cancer-specific stemness and drug resistance. In our current study, we employed RNA interference (RNAi) to suppress the expression of these genes and observed an increased susceptibility of CSCs to the anticancer drug, temozolomide (TMZ). Suppression of NANOG expression induced cell cycle arrest in CSCs, specifically in the G0 phase, and it concomitantly decreased the expression of PDK1. Since PDK1 activates the PI3K/AKT pathway to promote cell proliferation and survival, our findings suggest that NANOG contributes to chemotherapy resistance in CSCs through PI3K/AKT pathway activation. Therefore, the combination of TMZ treatment with RNAi targeting NANOG holds promise as a therapeutic strategy for GBM.

Indexed as

Brain NeoplasmsGlioblastomaCell Line, TumorDrug ResistanceHumansNanog Homeobox ProteinNeoplastic Stem CellsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTemozolomideNanog Homeobox ProteinNANOG protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTemozolomidecancer stem cellsglioblastomaNANOGOCT4PI3K/AKTRNAistemness genesTMZ

Identifiers

PMID37372456
PMCPMC10297980
OpenAlexW4380990169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.