ArticleCancer medicine2022
A novel prognostic model for papillary thyroid cancer based on epithelial-mesenchymal transition-related genes.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for postoperative recurrence in papillary thyroid carcinoma: a systematic review and critical appraisal.Frontiers in endocrinology · 2026Pooled it
- Novel a new prognostic model of thyroid carcinoma based on macrophage and cuproptosis-related lncRNA.Cancer cell international · 2026Article
- A Comprehensive multi-network analysis of ceRNAs and transcription factors for papillary thyroid carcinoma diagnosis and prognosis.Scientific reports · 2025Article
- Prognostic value of anoikis- and epithelial-mesenchymal transition-related genes and development of a prognostic risk model in thyroid cancer.Discover oncology · 2025Article
- Targeting syndecan-2 inhibits papillary thyroid cancer invasiveness and de-differentiation.BMC endocrine disorders · 2025Article
- Systems biology approach delineates critical pathways associated with papillary thyroid cancer: a multi-omics data analysis.Thyroid research · 2025Article
- Article
- TIPARP as a prognostic biomarker and potential immunotherapeutic target in male papillary thyroid carcinoma.Cancer cell international · 2024Article
- Article
- A novel prognostic model for papillary thyroid cancer based on epithelial-mesenchymal transition-related genes.Cancer medicine · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe frequent incidence of postsurgical recurrence issues in papillary thyroid cancer (PTC) patients is a primary concern considering the low cancer-related mortality. Previous studies have demonstrated that epithelial-mesenchymal transition (EMT) activation is closely related to PTC progression and invasion. In this study, we aimed to develop a novel EMT signature and ancillary nomogram to improve personalized prediction of progression-free interval (PFI).
methodsFirst, we carried out a differential analysis of PTC samples and pairwise normal thyroid samples to explore the differentially expressed genes (DEGs). The intersection of the DEGs with EMT-related genes (ERGs) were identified as differentially expressed EMT-related genes (DE-ERGs). We determined PFI-related DE-ERGs by Cox regression analysis and then established a novel gene classifier by LASSO regression analysis. We validated the signature in external datasets and in multiple cell lines. Further, we used uni- and multivariate analyses to identify independent prognostic characters.
resultsWe identified 244 prognosis-related DE-ERGs. The 244 DE-ERGs were associated with several pivotal oncogenic processes. We also constructed a novel 10-gene signature and relevant prognostic model for recurrence prediction of PTC. The 10-gene signature had a C-index of 0.723 and the relevant nomogram had a C-index of 0.776. The efficacy of the signature and nomogram was satisfying and closely correlated with relevant clinical parameters. Furthermore, the signature also had a unique potential in differentiating anaplastic thyroid cancer (ATC) samples.
conclusionsThe novel EMT signature and nomogram are useful and convenient for personalized management for thyroid cancer.
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