Screening and Identification of Key Microenvironment-Related Genes in Non-Functioning Pituitary Adenoma

To further identify microenvironment-related genes in Non-functioning pituitary adenoma (NFPAs) and assess their prognostic value, we collected 73 NFPA tumor samples and transcriptional expression profiles were obtained through microarray analysis. The immune and stromal scores of each sample were calculated through the ESTIMATE algorithm, and the patients were divided into high and low immune/stromal score groups. Intersection differentially expressed genes (DEGs) were then obtained to construct a protein-protein interaction (PPI) network. Potential functions and pathways of intersection DEGs were then analyzed through Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. The prognostic value of these genes was evaluated. Quantitative The quantitative real-time polymerase chain reaction in another set of NFPA samples was used to confirm the credibility of the bioinformatics analysis. The immune/stromal scores were significantly correlated with cavernous sinus (CS) invasion. Based on microarray expression matrix data, immune and matrix scores were calculated and differentially expressed genes were obtained. We then investigated the relationship between tumor microenvironment (TME) and tumor invasiveness, and screened out essential TME-related genes in NFPA.