Evidence map›Paper›PMID 38488030›Full record

ArticleInternational journal of molecular medicine2024

Methylation‑sensitive restriction enzyme‑droplet digital PCR assay for the one‑step highly sensitive analysis of DNA methylation hotspots.

Giuseppe Gattuso, Alessandro Lavoro, Rosario Caltabiano, Gabriele Madonna, Mariaelena Capone, Paolo Antonio Ascierto, Luca Falzone, Massimo Libra, Saverio Candido

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Giuseppe GattusoDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Alessandro LavoroDepartment of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Rosario CaltabianoDepartment of Medical and Surgical Sciences and Advanced Technologies 'G.F. Ingrassia', University of Catania, I‑95123 Catania, Italy.
Gabriele MadonnaMelanoma Cancer Immunotherapy and Innovative Therapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, I‑80131 Naples, Italy.
Mariaelena CaponeMelanoma Cancer Immunotherapy and Innovative Therapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, I‑80131 Naples, Italy.
Paolo Antonio AsciertoMelanoma Cancer Immunotherapy and Innovative Therapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, I‑80131 Naples, Italy.
Luca FalzoneEpidemiology and Biostatistics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, I‑80131 Naples, Italy.
Massimo Libra *Department of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
Saverio Candido *Department of Biomedical and Biotechnological Sciences, University of Catania, I‑95123 Catania, Italy.
University of Catania · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is an epigenetic modification that plays a key role in several cellular processes mediating the fine regulation of gene expression. Aberrant DNA methylation is observed in a wide range of pathologies, including cancer. Since these DNA modifications are transferred to the cell progenies and are stable over the time, the analysis of DNA methylation status has been proposed for diagnostic and prognostic purposes in cancer. Currently, DNA bisulfite conversion is the gold standard method for the high‑throughput analysis of DNA methylation alterations. However, bisulfite treatment induces DNA fragmentation affecting its quality for the downstream analyses. In this field, it is mandatory to identify novel methods to overcome the limits of conventional approaches. In the present study, the Methylation‑Sensitive Restriction Enzyme‑droplet digital PCR (MSRE‑ddPCR) assay was developed as a novel sensitive method for the analysis of DNA methylation of short genomic regions, combining the MSRE assay with the high‑sensitivity ddPCR and using an exogenous methylation sequence as control. Setup and validation experiments were performed analyzing a methylation hotspot of the

Indexed as

DNA MethylationMelanomaSulfitesDNAHumansPolymerase Chain ReactionDNAhydrogen sulfiteSulfitesbiomarkercutaneous melanomaDNA methylationdroplet digital PCRepigeneticsliquid biopsymethylation‑sensitive restriction enzymeSLC22A17

Identifiers

PMID38488030
PMCPMC10998716
OpenAlexW4392805357

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.