ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Identification of Key Genes in Thyroid Cancer Microenvironment.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 22 citations in OpenAlex.
- Thyroid Cancer in the Modern Era: From Molecular Landscape and Multimodal Diagnostics to Integrative Traditional Chinese Medicine-A Comprehensive Review.Cancer management and research · 2026Review
- A bioinformatics pipeline for identifying clinically relevant immune and adhesion biomarkers in thyroid risk stratification.Frontiers in molecular biosciences · 2026Article
- Combined detection of inflammatory proteins is beneficial for diagnosing the papillary thyroid carcinoma and nodular goiter.iMetaOmics · 2024Article
- Pan-cancer prognosis, immune infiltration, and drug resistance characterization of lung squamous cell carcinoma tumor microenvironment-related genes.Biochemistry and biophysics reports · 2024Article
- Identification of immune cell infiltration landscape for predicting prognosis of colorectal cancer.Gastroenterology report · 2023Article
- Ribonucleotide reductase regulatory subunit M2 (RRM2) as a potential sero-diagnostic biomarker in non-small cell lung cancer.PloS one · 2023Article
- Mining Prognostic Biomarkers of Thyroid Cancer Patients Based on the Immune-Related Genes and Development of a Reliable Prognostic Risk Model.Mediators of inflammation · 2023Article
- Cell Component and Function of Tumor Microenvironment in Thyroid Cancer.International journal of molecular sciences · 2022Review
- BRAFCancers · 2022Article
- HS3ST3A1 and CAPN8 Serve as Immune-Related Biomarkers for Predicting the Prognosis in Thyroid Cancer.Journal of oncology · 2022Article
- A Novel-Defined Necroptosis-Related miRNA Signature for Forecasting the Prognosis of Low-Grade Glioma.BioMed research international · 2022Article
- FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia.Frontiers in immunology · 2022Article
- Development and validation of a nomogram based on stromal score to predict progression-free survival of patients with papillary thyroid carcinoma.Cancer medicine · 2021Article
- Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods.Scientific reports · 2021Article
- Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients.BMC cancer · 2020Article
- Immune Landscape of Thyroid Cancers: New Insights.Frontiers in endocrinology · 2020Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Tumor microenvironment (TME) plays important roles in the development of cancer. However, the roles of TME in thyroid cancer are not well studied. In our study, we aimed to identify genes related to thyroid cancer microenvironment. MATERIAL AND METHODS We combined The Cancer Genome Atlas (TCGA) and Estimation of STromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) datasets to identify differentially expressed genes in thyroid cancer microenvironment. Then, using these differentially expressed genes, we constructed protein-protein interaction (PPI) network and conducted functional enrichment analysis. Genes with degree beyond 12 in the PPI network were regarded as hub genes. Finally, we conducted Kaplan-Meier curve and log-rank test and functional enrichment analysis on these hub genes. RESULTS There were 793 differentially expressed genes identified to be associated with immune score and stromal score in thyroid cancer microenvironment. We screened out 30 hub genes by construction of PPI network. The functions of these hub genes were enriched in immune cell activity, cytokine and chemokine activity, cell adhesion molecules, and extracellular matrix, which provided further insight into the roles of these genes in the tumor microenvironment. CXCL10, with the highest degrees in the PPI network, were positively related to overall survival of thyroid cancer patients (P=0.02467). CONCLUSIONS We identified 30 tumor microenvironment related genes in thyroid cancer. Among these hub genes, CXCL10 can be regarded as a prognostic biomarker in thyroid cancer.
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