Evidence map›Paper›PMID 40918056›Full record

ArticleData in brief2025

Data set of m6A methylation-related RNAs from patients of papillary thyroid carcinoma without autoimmune thyroid disease.

Yingruo Lin, Zhen Jiang, Sheng Luo, Ruhai Yi

Abstract read
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Article in Data in brief, 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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yingruo LinDepartment of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Zhen JiangDepartment of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Sheng LuoDepartment of Pathology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Ruhai YiDepartment of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset focuses on N6-Methyladenosine (m6A) RNA methylation in papillary thyroid carcinoma (PTC) without autoimmune thyroid disease (AITD). Emerging evidence suggests that m6A modification was associated with the occurrence and progression of both thyroid carcinoma and AITD. Given the substantial clinical overlap between thyroid carcinoma (particularly PTC) and AITD, rigorous exclusion of autoimmune confounding factors is essential to isolate the distinct role of m6A modifications in driving thyroid carcinogenesis and progression. Here, mRNA & lncRNA Epitranscriptomic Microarray technology was applied to investigate on the role of m6A-modification using thyroid tissue pairs of cancerous and para-cancerous from three patients of PTC without AITD enrolled from the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. The data analysis involved normalization, quantification, and identification of differentially m6A-modified transcripts and mRNA expression. Subsequently, clustering and functional enrichment analyses (including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG)) were conducted to gain an initial understanding of the biological significance of m6A modifications in PTC without AITD. This data set provides the m6A methylation profiles of PTC without AITD and allowed for the further study in this specific pathological context.

Indexed as

High-throughputm6A methylationMicroarrayRNAThyroid cancer

Identifiers

PMID40918056
PMCPMC12408217

What Socratic 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 Socratic graph.