Correlation between growth hormone receptor and the level of immune infiltration in thyroid cancer based on bioinformatics analysis
Objective To screen new biomarkers of thyroid cancer(TC)and explore their effects on immune infiltration.Methods We selected 5 TC datasets[GSE3467,GSE5364,GSE29265,GSE53157,the cancer genome atlas(TCGA)-THCA]from gene expression omnibus(GEO)and TCGA and performed differential analysis to obtain differential genes.Then we constructed protein-protein interac-tion(PPI)network of differential genes based on STRING and selected the key gene growth hormone recep-tor(GHR)combined with survival analysis.Thereafter,we used the single-sample gene set enrichment a-nalysis(ssCSEA)and Spearman to analyze the correlation between GHR and immune cells infiltration and immunomodulatory genes.Results We performed differential analysis in 5 TC datasets,and a total of 66 differential genes were obtained after intersection.Subsequently,we screened the key gene GHR from the PPI network,whose expression in TC was lower than that in normal tissues(P＜0.01),and the survival probability of the high GHR group was significantly lower than that of the low GHR group(P＜0.01).We found that GHR expression was significantly negatively associated with the immune infiltration level of most immune cells including T helper 17(Th17),CD56dim natural killer(CD56dim NK)and γδ T cells(r=-0.41,-0.38,-0.35,P＜0.05),but showed a significantly positive correlation with T helper 2(Th2)cells and eosinophil(r=0.10,0.22,P＜0.05).GHR was also significantly negatively associated with the expression of most immunomodulatory genes(r＜0,P＜0.05).Conclusion GHR,a key gene i-dentified by multiple datasets,whose expression affects TC prognosis and affects the development of TC by affecting immune cell infiltration and immunomodulatory gene expression.
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