Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer

被引:7
|
作者
Li, Qiang [1 ,2 ]
Jiang, Sheng [3 ]
Feng, Tienan [2 ]
Zhu, Tengteng [2 ]
Qian, Biyun [2 ]
机构
[1] Shanghai Jiao Tong Univ Med, Publ Hlth Coll, Shanghai 200025, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Clin Res Inst, Shanghai Tongren Hosp,Hongqiao Int Inst Med, 227 Chongqing South Rd, Shanghai 200025, Peoples R China
[3] China Natl Nucl Corp, Chengdu Med Coll, Affiliated Hosp 2, Hosp 416, Chengdu 610051, Peoples R China
来源
ONCOTARGETS AND THERAPY | 2021年 / 14卷
关键词
thyroid cancer; EMT; signature; bioinformatic analysis; immunohistochemistry; EPITHELIAL-MESENCHYMAL TRANSITION; PROTEIN INTERACTION NETWORKS; C-KIT; HEPATOCELLULAR-CARCINOMA; INTEGRATIVE ANALYSIS; INTEGRIN ALPHA-2; EXPRESSION; MIGRATION; INVASION; PATHWAYS;
D O I
10.2147/OTT.S301127
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: The 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. Methods: Four 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. Results: A 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 FN1, ITGA2, and KIT between TC and normal tissues were verified in the TCGA-THCA cohort and their protein expressions were also verified by IHC. DFS analysis indicated upregulations of FN1 expression (P<0.01) and ITGA2 expression (P<0.01) and downregulation of KIT expression (P=0.01) increased risks of decreased DFS for TCGA-THCA patients. Besides, by building a prognostic risk scoring model, we found that the DFS of TCGA-THCA patients was significantly worse in high-risk groups. Conclusion: In 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.
引用
收藏
页码:3119 / 3131
页数:13
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