Evidence map›Paper›PMID 40826981›Full record

ArticleCell biochemistry and function2025

Comparative Analysis of Two Digital PCR Platforms for Detecting DNA Methylation in Patient Samples.

Marek Samec, Ivana Baranova, Dana Dvorska, Kamil Biringer, Michal Kalman, Martin Pec, Zuzana Dankova

Abstract readComparative Study
In one paragraph

Article in Cell biochemistry and function, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Marek SamecDepartment of Medical Biology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
Ivana BaranovaDepartment of Pathological Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
Dana DvorskaBiomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
Kamil BiringerDepartment of Obstetrics and Gynecology, Jessenius Faculty of Medicine in Martin and University Hospital Martin, Comenius University in Bratislava, Martin, Slovakia.ORCID https://orcid.org/0000-0002-3471-0508
Michal KalmanDepartment of Pathological Anatomy, Jessenius Faculty of Medicine in Martin and University Hospital Martin, Comenius University in Bratislava, Martin, Slovakia.
Martin PecDepartment of Medical Biology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
Zuzana DankovaBiobank for Cancer and Rare Diseases, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.

Funding

This study was supported by the Slovak Research and Development Agency (grant number APVV-16-0021) and the Scientific Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic and Slovak Academy of Sciences (grant number VEGA 1/0286/22).
6 · The paper itself

Abstract

The choice of appropriate analytical methods for determining methylation patterns at specific loci across the genome is essential for identifying novel diagnostic and prognostic markers for subsequent clinical implementation. Various methods exist for determining methylation status using different technologies. In this study, we compared two distinct digital polymerase chain reaction (PCR) platforms: the nanoplate-based Qiagen QIAcuity Digital PCR (dPCR) System and the droplet-based Bio-Rad QX-200 Droplet Digital PCR (ddPCR) System. By assessing their efficacy and other attributes, we aimed to elucidate each platform's strengths and limitations in the sensitive detection of DNA methylation, thus contributing valuable insights to the field of molecular diagnostics. We analyzed the methylation status of the CDH13 gene in 141 formalin-fixed, paraffin-embedded breast cancer tissue samples using our in-house developed methylation-specific labeled assay. The specificity and sensitivity of the CDH13 assay evaluated by dPCR were 99.62% and 99.08%, respectively; ddPCR analysis reached a specificity of 100% and a sensitivity of 98.03%. In addition, our data revealed a strong correlation between the methylation levels measured by both methods (r = 0.954). Although both methods are based on different technologies, they yielded comparable, highly sensitive experimental data in our study. Consequently, the main criteria for selecting an optimal digital PCR platform for methylation analysis may lie in other factors such as workflow time and complexity, instrument requirements, the possibility of temperature gradient, reanalysis, or offline options.

Indexed as

Breast NeoplasmsDNA MethylationPolymerase Chain ReactionCadherinsFemaleHumansCadherinsdigital PCRDNA methylationmethod comparisonmolecular diagnosticsultrasensitive nucleic acid detection

Identifiers

PMID40826981
PMCPMC12361875

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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.