Evidence map›Paper›PMID 40183263›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Construction of a Single-cell Atlas of Thyroid Cancer

Kaiyu Song, Yaqi Wang, Yuantao Wang, Jiahui Liu, Wenjie Yao, Yongli Chu, Yun Qu, Xicheng Song, Jin Zhou

Abstract read
In one paragraph

Article in Endocrine, metabolic & immune disorders drug targets, 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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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

9 authors.

Kaiyu SongDepartment of Endocrinology, Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, Shandong, China.
Yaqi WangDepartment of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.ORCID 0000-0002-5534-1123
Yuantao WangDepartment of Endocrinology, Binzhou Medical University, Yantai, Shandong, China.
Jiahui LiuDepartment of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.ORCID 0000-0002-5534-1123
Wenjie YaoDepartment of Endocrinology, Binzhou Medical University, Yantai, Shandong, China.ORCID 0000-0002-5534-1123
Yongli ChuDepartment of Gynecology, Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Yun QuDepartment of Emergency, Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, Shandong, China.
Xicheng SongBinzhou Medical University, Yantai, Shandong, China.
Jin ZhouDepartment of Endocrinology, Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, Shandong, China.ORCID 0000-0002-5534-1123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDifferentiated thyroid cancer generally has a favorable prognosis; however, the cure rate remains low for patients with metastatic or undifferentiated thyroid cancer. Moreover, this group of patients exhibits diverse responses to different treatments. To address this, single- cell RNA sequencing (scRNA-seq) offers an unbiased approach to reveal the heterogeneity within and between tumor cells. Using, scRNA-seq, we aimed to explore the intricate ecosystem of thyroid cancer, potentially providing novel insights into clinical cancer staging and treatment strategies.

methodsWe conducted a thorough analysis by screening thyroid cancer and paraneoplastic tissues from 20 patients sourced from the Gene Expression Omnibus database. The dataset comprised 11 primary tumor tissues, 6 paraneoplastic tissues, 8 metastatic lymph nodes, and 2 distant metastases of papillary thyroid cancer. Through comprehensive bioinformatic analyses, we constructed a panoramic single-cell atlas of thyroid cancer (THCA).

resultsOur findings revealed significant heterogeneity in gene expression among tumor cells from different patients with THCA, contributing to the development of a comprehensive single- cell landscape. Notably, the long noncoding RNA (lncRNA) gene XIST exhibited higher abundance in anaplastic thyroid cancer (ATC) tumor cells. Additionally, we identified an enriched m6A locus in lncRNA XIST and observed high expression of the m6A “reader” IGF2BP3, as well as low expression of the “encoder” VIRMA. Based on these observations, we hypothesized that IGF2BP3 and VIRMA could augment the expression of lncRNA XIST, thereby promoting the malignant proliferation and invasion of ATC.

conclusionBy leveraging scRNA-seq technology, our study sheds light on the intricate molecular characteristics of THCA lesions. These findings have the potential to revolutionize our understanding of thyroid cancer pathogenesis and pave the way for innovative therapeutic interventions.

Indexed as

Biomarkers, TumorSingle-Cell AnalysisThyroid NeoplasmsGene Expression Regulation, NeoplasticHumansRNA, Long NoncodingSingle-Cell Gene Expression AnalysisBiomarkers, TumorRNA, Long Noncodingepithelial cells, IGF2BP3long non-coding RNAm6A, paraneoplastic tissues, single-cell sequencingThyroid cancer

Identifiers

PMID40183263
PMCPMC13284668

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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.