ArticleClinical and translational medicine2024
Spatial transcriptomics reveals prognosis-associated cellular heterogeneity in the papillary thyroid carcinoma microenvironment.
Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 26 citations in OpenAlex.
- Single-cell RNA sequencing: a powerful tool to study heterogeneity in papillary and anaplastic thyroid carcinoma.European thyroid journal · 2026Review
- Multiparametric MRI-Based Habitat Radiomics Combined with Deep Transfer Learning for Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma.Journal of imaging informatics in medicine · 2026Article
- Single-cell reveals age-dependent epithelial reprogramming and EMT vulnerability in THCA.Endocrine-related cancer · 2026Article
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
- Correlations of m6A methylation-related mRNAs with thyroid cancer.Scientific reports · 2026Article
- PDE4C stabilized by ELAVL1 promotes lymph node metastasis in papillary thyroid cancer.American journal of cancer research · 2026Article
- Cell-state transitions and microenvironmental remodeling in thyroid cancer progression revealed by single-cell and spatial transcriptomics.Frontiers in immunology · 2026Review
- Enhancer-mediated NR2F2 recruitment activates BGN to promote tumor growth and shape tumor microenvironment in papillary thyroid cancer.Theranostics · 2026Article
- BRAF Mutation Affects Intratumor Heterogeneity in Papillary Thyroid Carcinoma.Analytical cellular pathology (Amsterdam) · 2026Article
- Leveraging the transcriptome-phenotype relationship to guide clinical management of papillary thyroid cancer.Frontiers in endocrinology · 2026Review
- Preoperative Circulating Tumor Cells (CTCs) Positivity is Associated with Lymph Node Metastasis in Patients with Unifocal Papillary Thyroid Microcarcinoma (PTMC).International journal of general medicine · 2026Article
- Spatially resolved immune niches in thyroid cancer: from hot-cold-excluded ecosystems to precision immunotherapy.Frontiers in immunology · 2026Review
- Article
- Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma.Biological procedures online · 2025Article
- Identification of prognostic genes related to T cell proliferation in papillary thyroid cancer based on single-cell RNA sequencing and bulk RNA sequencing data.Clinical and experimental medicine · 2025Article
- Current Bioinformatics Tools in Precision Oncology.MedComm · 2025Review
- Spatial Transcriptomics in Thyroid Cancer: Applications, Limitations, and Future Perspectives.Cells · 2025Review
- Hypoxia-induced RHCG as a key regulator in psoriasis and its modulation by secukinumab.APL bioengineering · 2025Article
- Identification of GJC1 as a novel diagnostic marker for papillary thyroid carcinoma using weighted gene co-expression network analysis and machine learning algorithm.Discover oncology · 2025Article
- Detection of mRNA Transcript Variants.Genes · 2025Review
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundPapillary thyroid carcinoma (PTC) is the most common malignant endocrine tumour, and its incidence and prevalence are increasing considerably. Cellular heterogeneity in the tumour microenvironment is important for PTC prognosis. Spatial transcriptomics is a powerful technique for cellular heterogeneity study.
methodsIn conjunction with a clinical pathologist identification method, spatial transcriptomics was employed to characterise the spatial location and RNA profiles of PTC-associated cells within the tissue sections. The spatial RNA-clinical signature genes for each cell type were extracted and applied to outlining the distribution regions of specific cells on the entire section. The cellular heterogeneity of each cell type was further revealed by ContourPlot analysis, monocle analysis, trajectory analysis, ligand-receptor analysis and Gene Ontology enrichment analysis.
resultsThe spatial distribution region of tumour cells, typical and atypical follicular cells (FCs and AFCs) and immune cells were accurately and comprehensively identified in all five PTC tissue sections. AFCs were identified as a transitional state between FCs and tumour cells, exhibiting a higher resemblance to the latter. Three tumour foci were shared among all patients out of the 13 observed. Notably, tumour foci No. 2 displayed elevated expression levels of genes associated with lower relapse-free survival in PTC patients. We discovered key ligand-receptor interactions, including LAMB3-ITGA2, FN1-ITGA3 and FN1-SDC4, involved in the transition of PTC cells from FCs to AFCs and eventually to tumour cells. High expression of these patterns correlated with reduced relapse-free survival. In the tumour immune microenvironment, reduced interaction between myeloid-derived TGFB1 and TGFBR1 in tumour focus No. 2 contributed to tumourigenesis and increased heterogeneity. The spatial RNA-clinical analysis method developed here revealed prognosis-associated cellular heterogeneity in the PTC microenvironment.
conclusionsThe occurrence of tumour foci No. 2 and three enhanced ligand-receptor interactions in the AFC area/tumour foci reduced the relapse-free survival of PTC patients, potentially leading to improved prognostic strategies and targeted therapies for PTC patients.
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