Evidence map›Paper›PMID 42749952›Full record

ArticleMolecular biomedicine2026

Transcriptome-based epigenetic screening identifies DNA hypermethylation signatures as prognostic biomarkers in oral squamous cell carcinoma.

Yu Kyeong Han, Jihye Park, Hye Su Han, Keunsoo Kang, Hae Ryoun Park, Joo Mi Yi

Abstract read
In one paragraph

Article in Molecular biomedicine, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yu Kyeong Han *Department of Microbiology and Immunology, College of Medicine, Inje University, Busan, 47392, South Korea.
Jihye Park *Department of Microbiology, Dankook University, Cheonan, 31116, South Korea.
Hye Su HanDepartment of Microbiology and Immunology, College of Medicine, Inje University, Busan, 47392, South Korea.
Keunsoo KangDepartment of Microbiology, Dankook University, Cheonan, 31116, South Korea.
Hae Ryoun ParkDepartment of Oral Pathology, School of Dentistry, Pusan National University, Yangsan, Gyeongsangnam do, 50612, South Korea.
Joo Mi YiDepartment of Microbiology and Immunology, College of Medicine, Inje University, Busan, 47392, South Korea. jmyi76@inje.ac.kr.ORCID http://orcid.org/0000-0001-8341-330X

Funding

National Research Foundation of Korea 2023R1A2C1003916National Research Foundation of Korea RS-2026-25480385the National Research Foundation of Korea RS-2025-02214129
6 · The paper itself

Abstract

Promoter DNA hypermethylation is a key epigenetic mechanism of gene silencing in cancer, yet the DNA hypermethylome of oral squamous cell carcinoma (OSCC) and its prognostic relevance remain poorly characterized. Here, we systematically identified and validated novel hypermethylated genes with prognostic significance in OSCC using a genome-wide discovery and multi-platform validation strategy. Candidate genes were first identified by pharmacologic demethylation combined with RNA sequencing across OSCC cell lines, then validated by quantitative RT-PCR, methylation-specific PCR, and bisulfite sequencing in OSCC cell lines, normal oral mucosa, and primary OSCC tumors, with independent confirmation in the TCGA-HNSC dataset. Immunohistochemistry confirmed protein-level silencing, and Kaplan-Meier survival analysis assessed prognostic significance across both cohorts. This pipeline identified five candidate genes, GPX3, ANG, CTGF, GPRC5B, and BAMBI, exhibiting cancer-specific promoter hypermethylation associated with transcriptional and protein silencing in OSCC. Validation in oral cavity tumor samples extracted from the TCGA-HNSC dataset confirmed tumor-specific hypermethylation and revealed significant inverse correlations between methylation and expression for GPX3, GPRC5B, and CTGF. Notably, CTGF hypermethylation was independently associated with poor overall survival in both cohorts (institutional cohort, p=0.03; oral tumor subset from TCGA-HNSC, p=0.01), and a combined ANG+CTGF methylation signature showed superior and reproducible prognostic performance across both platforms. Pathway analysis linked these genes to epithelial-mesenchymal transition and interferon response signaling. This study establishes the first validated DNA methylation biomarker panel for OSCC prognosis, identifying CTGF hypermethylation as a robust prognostic driver with translational potential for clinical risk stratification.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellDNA MethylationEpigenesis, GeneticMouth NeoplasmsTranscriptomeCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisPromoter Regions, GeneticBiomarkers, TumorDNA methylation biomarkerEpigenetic regulationOral squamous cell carcinoma (OSCC)PrognosisPromoter hypermethylation

Identifiers

PMID42749952
PMCPMC13582760

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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.