ArticleOncoTargets and therapy2021
Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer.
Article in OncoTargets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Prognostic value of anoikis- and epithelial-mesenchymal transition-related genes and development of a prognostic risk model in thyroid cancer.Discover oncology · 2025Article
- The mammalian acid chitinase promotes oncogenic properties of thyroid cancer cells through the JAK2/STAT3 pathway.European thyroid journal · 2025Article
- Translational Insights into Cancer-Associated Fibroblast Infiltration-Related Biomarkers in Glioblastoma and Their Clinical Prognostic Value.International journal of general medicine · 2025Article
- TIPARP as a prognostic biomarker and potential immunotherapeutic target in male papillary thyroid carcinoma.Cancer cell international · 2024Article
- Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC-MS/MS and machine learning.Journal of endocrinological investigation · 2023Article
- Chemokine CCL14 affected the clinical outcome and correlated with immune infiltrates in thyroid carcinoma.Histology and histopathology · 2023Article
- Establishing a Prognostic Signature Based on Epithelial-Mesenchymal Transition-Related Genes for Endometrial Cancer Patients.Frontiers in immunology · 2021Article
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Authors and funding
5 authors.
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Abstract
backgroundThe detection rate of thyroid cancer (TC) has been continuously improved due to the development of detection technology. Epithelial-mesenchymal transition (EMT) is thought to be closely related to the malignant progression of tumors. However, the relationship between EMT-related genes (ERGs) characteristics and the diagnosis and prognosis of TC patients has not been studied.
methodsFour datasets from Gene Expression Omnibus (GEO) were used to perform transcriptomic profile analysis. The overlapping differentially expressed ERGs (DEERGs) were analyzed using the R package "limma". Then, the hub genes, which had a higher degree, were identified by the protein-protein interaction (PPI) network. Gene expression analysis between the TC and normal data, the disease-free survival (DFS) analysis of TC patients from The Cancer Genome Atlas Thyroid Cancer (TCGA-THCA) cohort, function analysis, and immunohistochemistry (IHC) were performed to verify the importance of the hub genes. Finally, a prognostic risk scoring was constructed to predict DFS in patients with the selected genes.
resultsA total of 43 DEERGs were identified and 10 DEERGs were considered hub ERGs, which had a high degree of connectivity in the PPI network. Then, the differential expressions of
conclusionIn summary, these hub ERGs were potential biomarkers for diagnosis and prognosis of TC, which can provide a basis for further exploring the efficacy of EMT in patients with TC.
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