Identification of key immune genes related to lymphatic metastasis of papillary thyroid cancer via bioinformatics analysis and experimental validation

被引:0
|
作者
Yu, Yang [1 ,2 ]
Guo, Xing [3 ]
Chai, Jian [1 ]
Han, Zhuoyi [2 ]
Ji, Yaming [4 ,5 ]
Sun, Jirui [4 ,5 ]
Zhang, Huiqing [1 ,6 ]
机构
[1] Baoding First Cent Hosp, Dept Gen Surg, Baoding, Hebei, Peoples R China
[2] Hebei Med Univ, Grad Sch, Shijiazhuang, Hebei, Peoples R China
[3] Baoding First Cent Hosp, Dept Oncol, Baoding, Hebei, Peoples R China
[4] Baoding First Cent Hosp, Dept Pathol, Baoding, Hebei, Peoples R China
[5] Hebei Key Lab Mol Pathol & Early Diag Canc, Baoding, Hebei, Peoples R China
[6] Baoding Key Lab Gastrointestinal Canc Diag & Treat, Baoding, Hebei, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
papillary thyroid carcinoma; lymphatic metastasis; immune infiltration; prediction model; machine learning; C-MET; EXPRESSION;
D O I
10.3389/fonc.2023.1181325
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectiveThe current research aimed to development and validation in signature immune genes for lymphatic metastasis in papillary thyroid cancer (PTC). MethodWeighted correlation network analysis (WGCNA) was performed to identify genes closely correlated with lymphatic metastasis in PTC from TCGA database. Information on immune-related genes (IRGs) was obtained from the ImmPort database. Crossover genes were used with the R package clusterProfiler for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment. Key genes in the protein-protein interaction network of cross-targets were obtained using Cytoscape. Lasso and Random Forest (RF) models were utilized to identify pivotal genes. We constructed a nomogram based on the hub genes. The correlation between hub genes and immune cell infiltration was explored. We collected and assessed clinical samples via immunohistochemistry to detect the expression of hub genes. ResultIn total, 122 IRGs were correlated with lymphatic metastases from PTC. There are 10 key IRGs in the protein-protein interaction network. Then, three hub genes including PTGS2, MET, and ICAM1 were established using the LASSO and RF models. The expression of these hub genes was upregulated in samples collected from patients with lymphatic metastases. The average area under the curve of the model reached 0.83 after a 10-fold and 200-time cross-validation, which had a good prediction ability. Immuno-infiltration analysis showed that the three hub genes were significantly positively correlated with resting dendritic cells and were negatively correlated with activated natural cells, monocytes, and eosinophils. Immunohistochemistry results revealed that lymph node metastasis samples had a higher expression of the three hub genes than non-metastasis samples. ConclusionVia bioinformatics analysis and experimental validation, MET and ICAM1 were found to be upregulated in lymph node metastasis from papillary thyroid carcinoma. Further, the two hub genes were closely correlated with activated natural killer cells, monocytes, resting dendritic cells, and eosinophils. Therefore, these two genes may be novel molecular biomarkers and therapeutic targets in lymph node metastasis from papillary thyroid carcinoma.
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页数:13
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