Evidence map›Paper›PMID 26088878›Full record

ArticleInternational journal of cancer2015

Regulation of nonsmall-cell lung cancer stem cell like cells by neurotransmitters and opioid peptides.

Jheelam Banerjee, Arokya M S Papu John, Hildegard M Schuller

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  7. Article
  8. The multifaceted role of beta-blockers in overcoming cancer progression and drug resistance: Extending beyond cardiovascular disorders.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. GABAMolecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  14. Review
  15. Article
  16. Review
  17. β-Adrenergic Signaling in Lung Cancer: A Potential Role for Beta-Blockers.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2020
    Review
  18. Article
  19. The Neuro-Psychological Axis of Smoking-Associated Cancer.Journal of immunological sciences · 2019
    Article
  20. 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.

Jheelam BanerjeeExperimental Oncology Laboratory, Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN.
Arokya M S Papu JohnExperimental Oncology Laboratory, Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN.
Hildegard M SchullerExperimental Oncology Laboratory, Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN.
University of Tennessee at Knoxville · US

Funding

Modulation of cancer prevention by social stressRC1CA144640 · NCI · UNIVERSITY OF TENNESSEE KNOXVILLE · PI SCHULLER, HILDEGARD M. · 2009 to 2010
$1.0M
NCI NIH HHS RC1 CA144640PHS HHS RCA14464010.1002
6 · The paper itself

Abstract

Nonsmall-cell lung cancer (NSCLC) is the leading type of lung cancer and has a poor prognosis. We have shown that chronic stress promoted NSCLC xenografts in mice via stress neurotransmitter-activated cAMP signaling downstream of beta-adrenergic receptors and incidental beta-blocker therapy was reported to improve clinical outcomes in NSCLC patients. These findings suggest that psychological stress promotes NSCLC whereas pharmacologically or psychologically induced decreases in cAMP may inhibit NSCLC. Cancer stem cells are thought to drive the development, progression and resistance to therapy of NSCLC. However, their potential regulation by stress neurotransmitters has not been investigated. In the current study, epinephrine increased the number of cancer stem cell like cells (CSCs) from three NSCLC cell lines in spheroid formation assays while enhancing intracellular cAMP and the stem cell markers sonic hedgehog (SHH), aldehyde dehydrogenase-1 (ALDH-1) and Gli1, effects reversed by GABA or dynorphin B via Gαi -mediated inhibition of cAMP formation. The growth of NSCLC xenografts in a mouse model of stress reduction was significantly reduced as compared with mice maintained under standard conditions. Stress reduction reduced serum levels of corticosterone, norepinephrine and epinephrine while the inhibitory neurotransmitter γ-aminobutyric acid (GABA) and opioid peptides increased. Stress reduction significantly reduced cAMP, VEGF, p-ERK, p-AKT, p-CREB, p-SRc, SHH, ALDH-1 and Gli1 in xenograft tissues whereas cleaved caspase-3 and p53 were induced. We conclude that stress neurotransmitters activate CSCs in NSCLC via multiple cAMP-mediated pathways and that pharmacologically or psychologically induced decreases in cAMP signaling may improve clinical outcomes in NSCLC patients.

Indexed as

AnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationCorticosteroneEpinephrinegamma-Aminobutyric AcidHumansLung NeoplasmsMaleMice, NudeNeoplasm TransplantationNeoplastic Stem CellsNeurotransmitter AgentsNorepinephrineOpioid PeptidesCorticosteroneEpinephrinegamma-Aminobutyric AcidGLI1 protein, humanNeurotransmitter AgentsNorepinephrineOpioid PeptidesTranscription FactorsZinc Finger Protein GLI1cAMP signalingcancer stem cell like cellscancer stem cell markersneurotransmittersnon small-cell lung canceropioid peptides

Identifiers

PMID26088878
PMCPMC4600645
OpenAlexW2146987949

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.