Evidence map›Paper›PMID 40490622›Full record

ArticleUpdates in surgery2026

DNA methylation changes in thyroid cancer patients infected with SARS-CoV-2.

Jong-Hyuk Ahn, Jin Wook Yi

Abstract read
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In one paragraph

Article in Updates in surgery, 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

2 authors.

Jong-Hyuk AhnDepartment of Surgery, Chung-Ang University Hospital, Seoul, Korea.ORCID http://orcid.org/0000-0003-0187-9777
Jin Wook YiDepartment of Surgery, Inha University College of Medicine, Incheon, Korea. jinwook.yi@inha.ac.kr.ORCID http://orcid.org/0000-0002-9296-8443

Funding

Korean Thyroid Association Korean Thyroid Association Basic Medical Research Award 2022
6 · The paper itself

Abstract

The impact of SARS-CoV-2 infection on thyroid cancer at the genomic level remains poorly understood. The purpose of our study was to determine whether significant DNA methylation changes occur in thyroid cancer tissues from patients with recent SARS-CoV-2 infection. Surgically resected normal thyroid and Papillary (PTC) tissues from three COVID-19-infected PTC patients (Cases) and three prepandemic PTC patients (Controls) were analyzed using DNA methylation EPIC arrays. Differentially methylated probes (DMPs) and differentially methylated regions (DMRs) were identified in normal thyroid and PTC tissues. Functional enrichment analysis was subsequently performed to explore the affected pathways. COVID-19-infected PTC tissues presented distinct DNA methylation profiles, with 6,848 DMPs in PTC tissues compared with 140 in normal thyroid tissues. SARS-CoV-2 infection did not significantly affect normal thyroid tissue by methylation. SARS-CoV-2 infection in PTC tissues was associated with hypermethylation of tumor suppressor genes (RUNX3, PAOX), the Wnt signaling pathway, the HOX gene family, cell adhesion-related genes and hypomethylation in response to virus-related genes. The key DMRs identified in PTC included GPR75, CCDC80, and ENTPD3, suggesting altered cell adhesion, tumor proliferation, and immune evasion. SARS-CoV-2 infection is linked to significant DNA methylation alterations in PTC tissues, with potential implications for tumor progression and aggressiveness. These findings suggest that COVID-19 may influence thyroid cancer biology. Further research is needed to validate these epigenetic modifications, establish causal relationships and determine their clinical relevance.

Indexed as

COVID-19DNA MethylationThyroid Cancer, PapillaryThyroid NeoplasmsAdultFemaleHumansMaleMiddle AgedSARS-CoV-2COVID-19DNA methylationEpigenomicsNeoplastic processesSARS-CoV-2Thyroid cancer, Papillary

Identifiers

PMID40490622

What OpenQuestion holds

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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.