Evidence map›Paper›PMID 36762066›Full record

ArticleTranslational lung cancer research2023

Genome-wide epigenetic and mRNA-expression profiling followed by CRISPR/Cas9-mediated gene-disruptions corroborate the

Johan Vad-Nielsen, Nicklas Heine Staunstrup, Magnus Lindkvist Kjeldsen, Nina Dybdal, Guillaume Flandin, Claudia De Stradis, Tina Fuglsang Daugaard, Trine Vilsbøll-Larsen, Christoffer Trier Maansson, Thomas Koed Doktor and 2 more

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Article in Translational lung cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Reprogramming resistance in advanced lung cancer: epigenetic modulation to restore therapeutic vulnerability.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

12 authors at 3 institutions in 1 country.

Johan Vad-NielsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Nicklas Heine StaunstrupDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Magnus Lindkvist KjeldsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Nina DybdalDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Guillaume FlandinDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Claudia De StradisDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Tina Fuglsang DaugaardDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Trine Vilsbøll-LarsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Christoffer Trier MaanssonDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Thomas Koed DoktorDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
Boe Sandahl SorensenDepartment of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark.
Anders Lade NielsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Aarhus University · DKAarhus University Hospital · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epithelial-mesenchymal-transition (EMT) is an epigenetic-based mechanism contributing to the acquired treatment resistance against receptor tyrosine kinase inhibitors (TKIs) in non-small cell lung cancer (NSCLC) cells harboring epidermal growth factor receptor ( Methods: We characterized genome-wide changes in mRNA-expression, DNA-methylation and the histone-modification H3K36me3 in Results: Acquired EMT-E-TKI-R was analyzed with three omics approaches. RNA-sequencing identified 2,233 and 1,972 up- and down-regulated genes, respectively, and among these were established EMT-markers. DNA-methylation EPIC array analyses identified 14,163 and 7,999 hyper- and hypo-methylated, respectively, differential methylated positions of which several were present in EMT-markers. Finally, H3K36me3 chromatin immunoprecipitation (ChIP)-sequencing detected 2,873 and 3,836 genes with enrichment and depletion, respectively, and among these were established EMT-markers. Correlation analyses showed that EMT-E-TKI-R mRNA-expression changes correlated better with H3K36me3 changes than with DNA-methylation changes. Moreover, the omics data supported the involvement of the Conclusions: The current study describes the synchronous genome-wide changes in mRNA-expression, DNA-methylation, and H3K36me3 in NSCLC EMT-E-TKI-R. The omics approaches revealed potential novel diagnostic markers and treatment targets. Besides, the study consolidates the functional impact of the

Indexed as

epigeneticsepithelial-mesenchymal-transition (EMT)Non-small cell lung cancer (NSCLC)tyrosine kinase inhibitor-resistance (TKI-resistance)

Identifiers

PMID36762066
PMCPMC9903082
OpenAlexW4316193333

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.