ArticleFrontiers in oncology2022
Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Integrating miRNA profiling and machine learning for improved thyroid cancer diagnosis.Frontiers in oncology · 2026Article
- Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics.Discover oncology · 2025Article
- Investigation of the genetic determinism of amino acid digestibility traits in Duroc×Landrace×Yorkshire crossbred pigs.Animal bioscience · 2025Article
- Unveiling histotype-specific biomarkers in ovarian carcinoma using proteomics.Molecular therapy. Oncology · 2025Article
- A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas.European journal of cancer (Oxford, England : 1990) · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the regulatory mechanism of immune prognostic factors in thyroid cancer. Methods: Based on the TCGA database and GEO database, this study used bioinformatics methods to study the potential regulatory mechanism of thyroid cancer prognosis, analyzed the differentially expressed genes and differential miRNAs between thyroid cancer and normal paracancerous tissues by R software, and constructed lasso risk factors. The immune prognostic factors of thyroid cancer were obtained from the model, and the miRDB website was used to predict the possibility of differential miRNA target binding of the immune prognostic factors and correlation analysis was performed, and finally verified by cell experiments. Results: There were 1413 differentially expressed genes between thyroid cancer and normal paracancerous tissues, among which 21 immune-related genes were prognostic factors with significant differences in expression; lasso risk model obtained AKAP12, APOC1, TIMP3, ADAMTS9, ANK2, HTRA3, SYNDIG1 , ADAMTS5 and DACT1 were nine prognostic factors. A total of 58 differential miRNAs were found in thyroid cancer tissues and non-cancerous tissues. The possibility of differential miRNA targeting and binding of immune prognostic factors on the miRDB website and cell experiments was analyzed. Conclusions: The potential miRNA regulatory mechanism of immune prognostic factors in thyroid cancer has been explored.
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