Evidence map›Paper›PMID 30558637›Full record

ArticleClinical epigenetics2018

The degree of mitochondrial DNA methylation in tumor models of glioblastoma and osteosarcoma.

Xin Sun, Vijesh Vaghjiani, W Samantha N Jayasekara, Jason E Cain, Justin C St John

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  5. Article
  6. Spectrum and Impact of Mitochondrial DNA Mutations in Ovarian Cancer.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Mitochondrial epigenetic mechanisms in cancer: an updated overview.Frontiers in cell and developmental biology · 2025
    Review
  9. Article
  10. Article
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  12. Review
  13. Article
  14. Article
  15. Changes in Mitochondrial Epigenome in Type 2 Diabetes Mellitus.British journal of biomedical science · 2023
    Review
  16. Review
  17. Targeting of the Mitochondrial TET1 Protein by Pyrrolo[3,2-International journal of molecular sciences · 2022
    Article
  18. Article
  19. Article
  20. Article
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

5 authors at 1 institution in 1 country.

Xin SunMitochondrial Genetics Group, Hudson Institute of Medical Research, 27-31 Wright Street, Clayton, VIC, 3168, Australia.
Vijesh VaghjianiDepartment of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, 27-31 Wright Street, Clayton, VIC, 3168, Australia.
W Samantha N JayasekaraDepartment of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, 27-31 Wright Street, Clayton, VIC, 3168, Australia.
Jason E CainDepartment of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, 27-31 Wright Street, Clayton, VIC, 3168, Australia.
Justin C St JohnMitochondrial Genetics Group, Hudson Institute of Medical Research, 27-31 Wright Street, Clayton, VIC, 3168, Australia. justin.stjohn@hudson.org.au.ORCID 0000-0002-3993-1449
Hudson Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent cell types possess different copies of mtDNA to support their specific requirements for cellular metabolism. Cell-specific mtDNA copy numbers are established through cell-specific mtDNA replication during cell differentiation. However, cancer cells are trapped in a "pseudo-differentiated" state as they fail to expand mtDNA copy number. Global DNA methylation can regulate this process, as induced DNA demethylation promotes differentiation of cancer cells and expansion of mtDNA copy number.

resultsTo determine the role that mtDNA methylation plays in regulating mtDNA replication during tumorigenesis, we have characterized the patterns of mtDNA methylation using glioblastoma and osteosarcoma tumor models that have different combinations of mtDNA genotypes and copy number against common nuclear genome backgrounds at different stages of tumor progression. To ensure the reliability of the findings, we have applied a robust experimental pipeline including three approaches, namely whole-mtDNA bisulfite-sequencing with mtDNA-genotype-specific analysis, pyrosequencing, and methylated immunoprecipitation against 5mC and 5hmC. We have determined genotype-specific methylation profiles, which were modulated through tumor progression. Moreover, a strong influence from the nuclear genome was also observed on mtDNA methylation patterns using the same mtDNA genotype under different nuclear genomes. Furthermore, the numbers of mtDNA copy in tumor-initiating cells affected mtDNA methylation levels in late-stage tumors.

conclusionsOur findings highlight the influences that the nuclear and mitochondrial genomes have in setting mtDNA methylation patterns to regulate mtDNA copy number in tumorigenesis. They have important implications for assessing global DNA methylation patterns in tumorigenesis and the availability of mtDNA template for mtDNA replication.

Indexed as

DNA Methylation5-MethylcytosineAnimalsBone NeoplasmsBrain NeoplasmsCell Line, TumorDNA Copy Number VariationsDNA, MitochondrialGenotypeGlioblastomaHumansImmunoprecipitationMiceMitochondriaNeoplasm TransplantationOsteosarcoma5-hydroxymethylcytosine5-MethylcytosineDNA, MitochondrialDNA methylationGlioblastoma multiformeMitochondrial DNAmtDNA copy numbermtDNA haplotypeOsteosarcoma

Identifiers

PMID30558637
PMCPMC6296150
OpenAlexW2905334696

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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.