Evidence map›Paper›PMID 29986880›Full record

ArticleThe Journal of biological chemistry2018

Nitric oxide promotes cancer cell dedifferentiation by disrupting an Oct4:caveolin-1 complex: A new regulatory mechanism for cancer stem cell formation.

Arnatchai Maiuthed, Narumol Bhummaphan, Sudjit Luanpitpong, Apiwat Mutirangura, Chatchawit Aporntewan, Arthitaya Meeprasert, Thanyada Rungrotmongkol, Yon Rojanasakul, Pithi Chanvorachote

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 45 citations in OpenAlex.

  1. Loss of long-range co-expression is a common feature in cancer.NPJ systems biology and applications · 2026
    Article
  2. Article
  3. Review
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  7. Review
  8. Targeting Nitric Oxide: Say NO to Metastasis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. [Lung Cancer Stem-like Cells and Drug Resistance].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022
    Review
  14. Review
  15. Article
  16. Caveolin1: its roles in normal and cancer stem cells.Journal of cancer research and clinical oncology · 2021
    Review
  17. Review
  18. Review
  19. Review
  20. Review
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

9 authors at 3 institutions in 2 countries.

Arnatchai MaiuthedFrom the Department of Pharmacology and Physiology.
Narumol BhummaphanCell-based Drug and Health Products Development Research Unit, Faculty of Pharmaceutical Sciences.
Sudjit Luanpitpongthe Siriraj Center of Excellence for Stem Cell Research, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700 Thailand, and.ORCID 0000-0002-1639-4935
Apiwat Mutirangurathe Center of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, and.
Chatchawit Aporntewanthe Department of Mathematics and Computer Science.
Arthitaya MeeprasertStructural and Computational Biology Research Group, and Department of Biochemistry, Faculty of Science.
Thanyada RungrotmongkolStructural and Computational Biology Research Group, and Department of Biochemistry, Faculty of Science.
Yon RojanasakulWVU Cancer Institute, West Virginia University, Morgantown, West Virginia 26506.
Pithi ChanvorachoteFrom the Department of Pharmacology and Physiology, pithi.ch@gmail.com pithi.c@chula.ac.th.
Chulalongkorn University · THMahidol University · THWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) are unique populations of cells that can self-renew and generate different cancer cell lineages. Although CSCs are believed to be a promising target for novel therapies, the specific mechanisms by which these putative therapeutics could intervene are less clear. Nitric oxide (NO) is a biological mediator frequently up-regulated in tumors and has been linked to cancer aggressiveness. Here, we search for targets of NO that could explain its activity. We find that it directly affects the stability and function of octamer-binding transcription factor 4 (Oct4), known to drive the stemness of lung cancer cells. We demonstrated that NO promotes the CSC-regulatory activity of Oct4 through a mechanism that involves complex formation between Oct4 and the scaffolding protein caveolin-1 (Cav-1). In the absence of NO, Oct4 forms a molecular complex with Cav-1, which promotes the ubiquitin-mediated proteasomal degradation of Oct4. NO promotes Akt-dependent phosphorylation of Cav-1 at tyrosine 14, disrupting the Cav-1:Oct4 complex. Site-directed mutagenesis and computational modeling studies revealed that the hydroxyl moiety at tyrosine 14 of Cav-1 is crucial for its interaction with Oct4. Both removal of the hydroxyl via mutation to phenylalanine and phosphorylation lead to an increase in binding free energy (Δ

Indexed as

Cell DedifferentiationCaveolin 1Cell Line, TumorGene Expression Regulation, NeoplasticHumansLung NeoplasmsModels, MolecularMutationNeoplastic Stem CellsNitric OxideOctamer Transcription Factor-3Protein Interaction MapsProteolysisTranscriptomeCAV1 protein, humanCaveolin 1Nitric OxideOctamer Transcription Factor-3POU5F1 protein, humancancer biologycancer stem cellscaveolincell signalingdifferentiationGSK3βlung cancernitric oxide, caveolin-1OCT4proteasomeprotein degradationprotein–protein interactionregulation

Identifiers

PMID29986880
PMCPMC6120192
OpenAlexW2858779744

What OpenQuestion holds

Textmetadata
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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.