Evidence mapPaperPMID 39215018Full record

ArticleScientific reports2024

G-quadruplex forming regions in GCK and TM6SF2 are targets for differential DNA methylation in metabolic disease and hepatocellular carcinoma patients.

Angelika Lahnsteiner, Victoria Ellmer, Anna Oberlercher, Zita Liutkeviciute, Esther Schönauer, Bernhard Paulweber, Elmar Aigner, Angela Risch

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Angelika LahnsteinerDivision of Cancer (Epi-)Genetics, Department of Biosciences and Medical Biology, Center for Tumor Biology and Immunology (CTBI), Paris Lodron University Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria. angelika.lahnsteiner@plus.ac.at.
Victoria EllmerDivision of Cancer (Epi-)Genetics, Department of Biosciences and Medical Biology, Center for Tumor Biology and Immunology (CTBI), Paris Lodron University Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria.
Anna OberlercherDivision of Cancer (Epi-)Genetics, Department of Biosciences and Medical Biology, Center for Tumor Biology and Immunology (CTBI), Paris Lodron University Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria.
Zita LiutkeviciuteDivision of Cancer (Epi-)Genetics, Department of Biosciences and Medical Biology, Center for Tumor Biology and Immunology (CTBI), Paris Lodron University Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria.
Esther SchönauerDivision of Structural Biology, Department of Biosciences and Medical Biology, Center for Tumor Biology and Immunology (CTBI), Paris Lodron University Salzburg, Salzburg, Austria.
Bernhard PaulweberFirst Department of Medicine, University Clinic Salzburg, Salzburg, Austria.
Elmar AignerFirst Department of Medicine, University Clinic Salzburg, Salzburg, Austria.
Angela RischDivision of Cancer (Epi-)Genetics, Department of Biosciences and Medical Biology, Center for Tumor Biology and Immunology (CTBI), Paris Lodron University Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria.

Funding

Cancer Cluster Salzburg 20102-P1601064-FPRÖsterreichische Diabetes Gesellschaft StartergrantUniversität Salzburg Early Career Grant, 35010166
6 · The paper itself

Abstract

The alarming increase in global rates of metabolic diseases (MetDs) and their association with cancer risk renders them a considerable burden on our society. The interplay of environmental and genetic factors in causing MetDs may be reflected in DNA methylation patterns, particularly at non-canonical (non-B) DNA structures, such as G-quadruplexes (G4s) or R-loops. To gain insight into the mechanisms of MetD progression, we focused on DNA methylation and functional analyses on intragenic regions of two MetD risk genes, the glucokinase (GCK) exon 7 and the transmembrane 6 superfamily 2 (TM6SF2) intron 2-exon 3 boundary, which harbor non-B DNA motifs for G4s and R-loops.Pyrosequencing of 148 blood samples from a nested cohort study revealed significant differential methylation in GCK and TM6SF2 in MetD patients versus healthy controls. Furthermore, these regions harbor hypervariable and differentially methylated CpGs also in hepatocellular carcinoma versus normal tissue samples from The Cancer Genome Atlas (TCGA). Permanganate/S1 nuclease footprinting with direct adapter ligation (PDAL-Seq), native polyacrylamide DNA gel electrophoresis and circular dichroism (CD) spectroscopy revealed the formation of G4 structures in these regions and demonstrated that their topology and stability is affected by DNA methylation. Detailed analyses including histone marks, chromatin conformation capture data, and luciferase reporter assays, highlighted the cell-type specific regulatory function of the target regions. Based on our analyses, we hypothesize that changes in DNA methylation lead to topological changes, especially in GCK exon 7, and cause the activation of alternative regulatory elements or potentially play a role in alternative splicing.Our analyses provide a new view on the mechanisms underlying the progression of MetDs and their link to hepatocellular carcinomas, unveiling non-B DNA structures as important key players already in early disease stages.

Indexed as

Carcinoma, HepatocellularDNA MethylationGlucokinaseG-QuadruplexesLiver NeoplasmsMembrane ProteinsCpG IslandsFemaleHumansMaleMiddle AgedGlucokinaseMembrane ProteinsTM6SF2 protein, humanAlternative promoterDNA methylationG-quadruplexHepatocellular carcinomaMetabolic diseasePDAL-Seq

Identifiers

PMID39215018
PMCPMC11364803

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.