Evidence map›Paper›PMID 34001972›Full record

ArticleScientific reports2021

A miR-375/YAP axis regulates neuroendocrine differentiation and tumorigenesis in lung carcinoid cells.

Xiaojing Yang, Jina Nanayakkara, Duncan Claypool, Sadegh Saghafinia, Justin J M Wong, Minqi Xu, Xiantao Wang, Christopher J B Nicol, Iacovos P Michael, Markus Hafner and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  16. The Role of miRNA in the Pathophysiology of Neuroendocrine Tumors.International journal of molecular sciences · 2021
    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

12 authors.

Xiaojing Yang *Laboratory of Translational RNA Biology, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada.
Jina Nanayakkara *Laboratory of Translational RNA Biology, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada.
Duncan ClaypoolLaboratory of Muscle Stem Cells and Gene Regulation, NIAMS, 50 South Drive, Bethesda, MD, 20892, USA.
Sadegh SaghafiniaSwiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
Justin J M WongLaboratory of Translational RNA Biology, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada.
Minqi XuLaboratory of Translational RNA Biology, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada.
Xiantao WangLaboratory of Muscle Stem Cells and Gene Regulation, NIAMS, 50 South Drive, Bethesda, MD, 20892, USA.
Christopher J B NicolDepartment of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada.
Iacovos P MichaelSwiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
Markus HafnerLaboratory of Muscle Stem Cells and Gene Regulation, NIAMS, 50 South Drive, Bethesda, MD, 20892, USA.
Xiaolong YangCancer Research Laboratory, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada.
Neil RenwickLaboratory of Translational RNA Biology, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON, K7L 3N6, Canada. neil.renwick@queensu.ca.

Funding

Integration of the results from systems-level determination of cis-acting elements into high-resolution maps of posttranscriptional regulatory events.ZIAAR041205 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI HAFNER, MARKUS · 2016 to 2025
$5.5M
6 · The paper itself

Abstract

Lung carcinoids are variably aggressive and mechanistically understudied neuroendocrine neoplasms (NENs). Here, we identified and elucidated the function of a miR-375/yes-associated protein (YAP) axis in lung carcinoid (H727) cells. miR-375 and YAP are respectively high and low expressed in wild-type H727 cells. Following lentiviral CRISPR/Cas9-mediated miR-375 depletion, we identified distinct transcriptomic changes including dramatic YAP upregulation. We also observed a significant decrease in neuroendocrine differentiation and substantial reductions in cell proliferation, transformation, and tumor growth in cell culture and xenograft mouse disease models. Similarly, YAP overexpression resulted in distinct and partially overlapping transcriptomic changes, phenocopying the effects of miR-375 depletion in the same models as above. Transient YAP knockdown in miR-375-depleted cells reversed the effects of miR-375 on neuroendocrine differentiation and cell proliferation. Pathways analysis and confirmatory real-time PCR studies of shared dysregulated target genes indicate that this axis controls neuroendocrine related functions such as neural differentiation, exocytosis, and secretion. Taken together, we provide compelling evidence that a miR-375/YAP axis is a critical mediator of neuroendocrine differentiation and tumorigenesis in lung carcinoid cells.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsCarcinogenesisCarcinoid TumorCell DifferentiationCell ProliferationExocytosisGene Expression Regulation, NeoplasticGene Knockdown TechniquesHEK293 CellsHumansLung NeoplasmsMiceMice, KnockoutMicroRNAsNeuroendocrine CellsAdaptor Proteins, Signal TransducingMicroRNAsMIRN375 microRNA, humanTranscription FactorsYAP1 protein, humanYAP-Signaling Proteins

Identifiers

PMID34001972
PMCPMC8129150

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Registered trials

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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.