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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