Evidence map›Paper›PMID 32606331›Full record

ArticleScientific reports2020

TGF-β induced EMT and stemness characteristics are associated with epigenetic regulation in lung cancer.

Bit Na Kim, Dong Hyuck Ahn, Nahyeon Kang, Chang Dong Yeo, Young Kyoon Kim, Kyo Young Lee, Tae-Jung Kim, Sug Hyung Lee, Mi Sun Park, Hyeon Woo Yim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 212 citations in OpenAlex.

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77 more citing papers are in PubMed but not listed here.

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

13 authors at 2 institutions in 2 countries.

Bit Na Kim *Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Dong Hyuck Ahn *Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID http://orcid.org/0000-0003-4225-9806
Nahyeon KangDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Chang Dong YeoDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Young Kyoon KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Kyo Young LeeDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Tae-Jung KimDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sug Hyung LeeDepartment of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Mi Sun ParkDepartment of Biostatistics, Clinical Research Coordinating Center, The Catholic University of Korea, Seoul, Korea.
Hyeon Woo YimDepartment of Biostatistics, Clinical Research Coordinating Center, The Catholic University of Korea, Seoul, Korea.
Jong Y ParkDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
Chan Kwon ParkDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea. ckpaul@catholic.ac.kr.
Seung Joon KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea. cmcksj@catholic.ac.kr.
Catholic University of Korea · KRMoffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transforming growth factor-β (TGF-β) promotes tumor invasion and metastasis by inducing epithelial-mesenchymal transition (EMT). EMT is often related with acquisition of stemness characteristics. The objective of this study was to determine whether EMT and stemness characteristics induced by TGF-β might be associated with epigenetic regulation in lung cancer. A human normal lung epithelial cell line and four lung cancer cell lines were treated with TGF-β. Transcriptome analysis of BEAS-2B and A549 cells incubated with TGF-β were analyzed through next-generation sequencing (NGS). Western blotting was carried out to investigate expression levels of epithelial and mesenchymal markers. Wound healing and Matrigel invasion assay, sphere formation assay, and in vivo mice tumor model were performed to evaluate functional characteristics of EMT and stemness acquisition. To investigate whether activation of EMT and stem cell markers might be involved in epigenetic regulation of lung cancer, experiment using a DNA methyltransferase inhibitor (5-azacytidine, AZA), methylation-specific PCR (MSP) and bisulfite sequencing were performed. NGS revealed changes in expression levels of EMT markers (E-cadherin, N-cadherin, fibronectin, vimentin, slug and snail) and stem cell markers (CD44 and CD87) in both BEAS-2B and A549 cells. Functional analysis revealed increased migration, invasion, sphere formation, and tumor development in mice after TGF-β treatment. Expression of slug and CD87 genes was activated following treatment with AZA and TGF-β. MSP and bisulfite sequencing indicated DNA demethylation of slug and CD87 genes. These results suggest that TGF-β induced EMT and cancer stemness acquisition could be associated with activation of slug and CD87 gene by their promoter demethylation.

Indexed as

AnimalsBiomarkers, TumorCell Line, TumorEpigenesis, GeneticEpithelial CellsEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsMicePromoter Regions, GeneticStem CellsTransforming Growth Factor betaWound HealingBiomarkers, TumorTransforming Growth Factor beta

Identifiers

PMID32606331
PMCPMC7326979
OpenAlexW3040121443

What Socratic 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 Socratic graph.