Evidence map›Paper›PMID 42890571›Full record

ArticleFrontiers in oncology2026

Integrated genome-wide DNA methylation and transcriptomic analysis prioritizes

Semra Demokan, Begüm Özemek, Seval Turna, Sevde Cömert, Cömert Şen, Kağan Avcı, Ahmet Özkan, Sena Şen, Mehveş Poda, Murat Ulusan and 4 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Semra DemokanDepartment of Basic Oncology, Oncology Institute, Istanbul University, Istanbul, Türkiye.
Begüm ÖzemekDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Acibadem Mehmet Ali Aydınlar (MAA) University, Istanbul, Türkiye.
Seval TurnaInstitute of Graduate Studies in Health Sciences, Istanbul University, Istanbul, Türkiye.
Sevde CömertInstitute of Graduate Studies in Health Sciences, Istanbul University, Istanbul, Türkiye.
Cömert ŞenDepartment of Otorhinolaryngology and Head and Neck Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Kağan AvcıDepartment of Otorhinolaryngology and Head and Neck Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Ahmet ÖzkanDepartment of Otorhinolaryngology and Head and Neck Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Sena ŞenDepartment of Basic Oncology, Oncology Institute, Istanbul University, Istanbul, Türkiye.
Mehveş PodaDepartment of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Türkiye.
Murat UlusanDepartment of Otorhinolaryngology and Head and Neck Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Uğur SezermanDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Acibadem Mehmet Ali Aydınlar (MAA) University, Istanbul, Türkiye.
Gülsüm AkDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Istanbul University, Istanbul, Türkiye.
Canan AlatlıDepartment of Medical Pathology, Medical Faculty, Istanbul Health and Technology University, Istanbul, Türkiye.
Nejat DalayDepartment of Basic Oncology, Oncology Institute, Istanbul University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Oral squamous cell carcinoma (OSCC) remains a major clinical challenge because of delayed diagnosis and the lack of validated non-invasive biomarkers for OSCC detection. Epigenetic alterations during oral carcinogenesis represent promising biomarker candidates. This study aimed to prioritize clinically relevant epigenetic biomarkers and validate Experimental design: Genome-wide DNA methylation and transcriptomic profiling were performed to identify epigenetically deregulated genes in OSCC. Candidate genes were prioritized by integrating DNA methylation, transcriptomic data and biological relevance. Results: Genome-wide analysis identified 661 upregulated and 577 downregulated genes together with 2,431 differentially methylated regions corresponding to 1,776 genes. Integrated analysis generated a panel of 51 candidate genes, from which Conclusions: Frequent tumor hypermethylation together with detectable salivary methylation supports further evaluation of

Indexed as

EPHA5epigenetic biomarkergenome-wide DNA methylationliquid biopsyoral premalignant lesionoral squamous cell carcinomasalivatranscriptomics

Identifiers

PMID42890571
PMCPMC13671974

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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.