{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6(4)"],"submitter":["Liao T"],"pubmed_abstract":["Tumor microenvironment (TME) remodeling plays a pivotal role in thyroid cancer progression, yet its spatial dynamics remain unclear. In this study, we integrate spatial transcriptomics and single-cell RNA sequencing to map the TME architecture across para-tumor thyroid (PT) tissue, papillary thyroid cancer (PTC), locally advanced PTC (LPTC), and anaplastic thyroid carcinoma (ATC). Our integrative analysis reveals extensive molecular and cellular heterogeneity during thyroid cancer progression, enabling the identification of three distinct thyrocyte meta-clusters, including TG<sup>+</sup>IYG<sup>+</sup> subpopulation in PT, HLA-DRB1<sup>+</sup>HLA-DRA<sup>+</sup> subpopulation in early cancerous stages, and APOE<sup>+</sup>APOC1<sup>+</sup> subpopulation in late-stage progression. We reveal"],"journal":["Cell reports. Medicine"],"pagination":["102043"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12047530"],"repository":["biostudies-literature"],"pubmed_title":["A spatially resolved transcriptome landscape during thyroid cancer progression."],"pmcid":["PMC12047530"],"pubmed_authors":["Fung MHM","Hu W","Shen C","Du Y","Zhang M","Ding P","Zeng Y","Wei W","Li L","Shi X","Ji Q","Li S","Huang Z","Zhang Y","Liao T","Wang Y","Xu W"],"additional_accession":[]},"is_claimable":false,"name":"A spatially resolved transcriptome landscape during thyroid cancer progression.","description":"Tumor microenvironment (TME) remodeling plays a pivotal role in thyroid cancer progression, yet its spatial dynamics remain unclear. In this study, we integrate spatial transcriptomics and single-cell RNA sequencing to map the TME architecture across para-tumor thyroid (PT) tissue, papillary thyroid cancer (PTC), locally advanced PTC (LPTC), and anaplastic thyroid carcinoma (ATC). Our integrative analysis reveals extensive molecular and cellular heterogeneity during thyroid cancer progression, enabling the identification of three distinct thyrocyte meta-clusters, including TG<sup>+</sup>IYG<sup>+</sup> subpopulation in PT, HLA-DRB1<sup>+</sup>HLA-DRA<sup>+</sup> subpopulation in early cancerous stages, and APOE<sup>+</sup>APOC1<sup>+</sup> subpopulation in late-stage progression. We reveal","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2026-06-01T19:13:00.656Z","creation":"2025-07-06T03:05:52.591Z"},"accession":"S-EPMC12047530","cross_references":{"pubmed":["40157360"],"doi":["10.1016/j.xcrm.2025.102043"]}}