Evidence map›Paper›PMID 32783304›Full record

ArticleCNS neuroscience & therapeutics2020

DNA methylation analysis with methylation-sensitive high-resolution melting (MS-HRM) reveals gene panel for glioma characteristics.

Aleksandra Majchrzak-Celińska, Emilia Dybska, Anna-Maria Barciszewska

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

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  7. Associations between SelectedMedicina (Kaunas, Lithuania) · 2023
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  14. Journal of clinical medicine · 2022
    Article
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  19. DNA Methylation in Solid Tumors: Functions and Methods of Detection.International journal of molecular sciences · 2021
    Review
  20. Sex Disparities inJournal of clinical medicine · 2021
    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

3 authors at 1 institution in 1 country.

Aleksandra Majchrzak-CelińskaDepartment of Pharmaceutical Biochemistry, Poznan University of Medical Sciences, Poznań, Poland.ORCID 0000-0002-2872-8875
Emilia DybskaDepartment of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznań, Poland.ORCID 0000-0003-2692-2487
Anna-Maria BarciszewskaIntraoperative Imaging Unit, Chair and Department of Neurosurgery and Neurotraumatology, Poznan University of Medical Sciences, Poznań, Poland.ORCID 0000-0002-7179-1474
Poznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLocal DNA hypermethylation is a potential source of cancer biomarkers. While the evaluation of single gene methylation has limited value, their selected panel may provide better information.

aimsThis study aimed to analyze the promoter methylation level in a 7-gene panel in brain tumors and verifies the usefulness of methylation-sensitive high-resolution melting (MS-HRM) for this purpose.

methodsForty-six glioma samples and one non-neoplastic brain sample were analyzed by MS-HRM in terms of SFRP1, SFRP2, RUNX3, CBLN4, INA, MGMT, and RASSF1A promoter methylation. The results were correlated with patients' clinicopathological features.

resultsDNA methylation level of all analyzed genes was significantly higher in brain tumor samples as compared to non-neoplastic brain and commercial, unmethylated DNA control. RASSF1A was the most frequently methylated gene, with statistically significant differences depending on the tumor WHO grade. Higher MGMT methylation levels were observed in females, whereas the levels of SFRP1 and INA promoter methylation significantly increased with patients' age. A positive correlation of promoter methylation levels was observed between pairs of genes, for example, CBLN4 and INA or MGMT and RASSF1A.

conclusionsOur 7-gene panel of promoter methylation can be helpful in brain tumor diagnosis or characterization, and MS-HRM is a suitable method for its analysis.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsDNA MethylationFemaleGliomaHumansMaleMiddle AgedPromoter Regions, GeneticYoung AdultBiomarkers, TumorbiomarkerDNA methylationgliomasMS-HRM

Identifiers

PMID32783304
PMCPMC7702229
OpenAlexW3048527836

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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.