Evidence map›Paper›PMID 26629529›Full record

ArticleEBioMedicine2015

∆ DNMT3B4-del Contributes to Aberrant DNA Methylation Patterns in Lung Tumorigenesis.

Mark Z Ma, Ruxian Lin, José Carrillo, Manisha Bhutani, Ashutosh Pathak, Hening Ren, Yaokun Li, Jiuzhou Song, Li Mao

Abstract read
In one paragraph

Article in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Unlocking Lung Cancer Cell Dormancy: An Epigenetic Perspective.International journal of molecular sciences · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. DNA Methyltransferases: From Evolution to Clinical Applications.International journal of molecular sciences · 2022
    Review
  7. Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Mark Z MaDepartment of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry, University of Maryland, 650 W Baltimore St, Baltimore, MD 21201, USA ; Marlene and Stewart Greenebaum Cancer Center, University of Maryland, 22 S Greene St, Baltimore, MD 21201, USA.
Ruxian LinDepartment of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry, University of Maryland, 650 W Baltimore St, Baltimore, MD 21201, USA.
José CarrilloDepartment of Animal and Avian Sciences, University of Maryland, College Park, Silver Spring, MD 20742, USA.
Manisha BhutaniDepartment of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Carolinas Healthcare System, Charlotte, NC, USA.
Ashutosh PathakTeva Pharmaceuticals, 1090 Horsham Rd, North Wales, PA 19454, USA.
Hening RenDepartment of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry, University of Maryland, 650 W Baltimore St, Baltimore, MD 21201, USA ; Marlene and Stewart Greenebaum Cancer Center, University of Maryland, 22 S Greene St, Baltimore, MD 21201, USA.
Yaokun LiCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China.
Jiuzhou SongDepartment of Animal and Avian Sciences, University of Maryland, College Park, Silver Spring, MD 20742, USA.
Li MaoDepartment of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry, University of Maryland, 650 W Baltimore St, Baltimore, MD 21201, USA ; Marlene and Stewart Greenebaum Cancer Center, University of Maryland, 22 S Greene St, Baltimore, MD 21201, USA.

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
ROLE OF DNA METHYLTRANSFERASE 3B IN LUNG TUMORIGENESISR01CA136635 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MAO, LI · 2009 to 2014
$1.5M
NCI NIH HHS P30 CA134274NCI NIH HHS P30CA134274NCI NIH HHS R01 CA136635NCI NIH HHS R01CA136635
6 · The paper itself

Abstract

Aberrant DNA methylation is a hallmark of cancer but mechanisms contributing to the abnormality remain elusive. We have previously shown that ∆DNMT3B is the predominantly expressed form of DNMT3B. In this study, we found that most of the lung cancer cell lines tested predominantly expressed DNMT3B isoforms without exons 21, 22 or both 21 and 22 (a region corresponding to the enzymatic domain of DNMT3B) termed DNMT3B/∆DNMT3B-del. In normal bronchial epithelial cells, DNMT3B/ΔDNMT3B and DNMT3B/∆DNMT3B-del displayed equal levels of expression. In contrast, in patients with non-small cell lung cancer NSCLC), 111 (93%) of the 119 tumors predominantly expressed DNMT3B/ΔDNMT3B-del, including 47 (39%) tumors with no detectable DNMT3B/∆DNMT3B. Using a transgenic mouse model, we further demonstrated the biological impact of ∆DNMT3B4-del, the ∆DNMT3B-del isoform most abundantly expressed in NSCLC, in global DNA methylation patterns and lung tumorigenesis. Expression of ∆DNMT3B4-del in the mouse lungs resulted in an increased global DNA hypomethylation, focal DNA hypermethylation, epithelial hyperplastia and tumor formation when challenged with a tobacco carcinogen. Our results demonstrate ∆DNMT3B4-del as a critical factor in developing aberrant DNA methylation patterns during lung tumorigenesis and suggest that ∆DNMT3B4-del may be a target for lung cancer prevention.

Indexed as

DNA MethylationAnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorCell Transformation, NeoplasticCluster AnalysisDisease Models, AnimalDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGene OrderGene TargetingGenetic LociGenetic VectorsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BDNA methylationDNMT3BLung cancerMouse modelTumorigenesisΔDNMT3BΔDNMT3B-del

Identifiers

PMID26629529
PMCPMC4634842

What OpenQuestion holds

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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.