Rui Zhang1, Aiqing Ma2. 1. Department of Thoracic Surgery, Linyi Tumor Hospital, Linyi City, Shandong Province, PR China. 2. Department of Operating Room, Linyi Tumor Hospital, Linyi City, Shandong Province, PR China. Electronic address: ma__aiqing@sina.com.
Abstract
BACKGROUND: The myeloma overexpressed gene (MYEOV) plays a critical role in tumorigenesis in a variety of cancers. However, little is known of the prognosis and immune infiltration associated with MYEOV in non-small cell lung cancer (NSCLC). METHODS: We used several databases (Oncomine, TCGA, and GEO) to analysis the expression, prognosis, and immune infiltration, associated with MYEOV in NSCLC. We also used RT-qPCR and immunohistochemistry to investigate the expression and prognosis of MYEOV in NSCLC. RESULTS: Compared with normal tissues, high MYEOV expression in NSCLC was observed in Oncomine database, and was validated in the TCGA database. High MYEOV expression was significantly associated with different subtypes of NSCLC. Moreover, high MYEOV expression was closely related with a poorer overall survival in NSCLC in TCGA cohort, and was validated in GEO database. Simultaneously, high expression of MYEOV correlates with clinical relevance of NSCLC. Specifically, MYEOV expression was negatively correlated with infiltrating levels of tumor purity and B cells in LUAD. MYEOV expression was negatively correlated with infiltrating levels of tumor purity, and positively associated with CD8+ T cells, CD4+ T cells, dendritic cells, and neutrophils in LUSC. GSEA also revealed that high MYEOV expression were enriched in certain cancer-specific pathways. In addition, RT-qPCR and immunohistochemistry showed MYEOV expression was higher in NSCLC compared to the normal tissues. Finally, high MYEOV expression was closely related with poorer overall survival of NSCLC in an independent validation cohort. CONCLUSION: Our analyses indicate that MYEOV can be used as a prognostic biomarker for determining prognosis and immune infiltration in NSCLC.
BACKGROUND: The myeloma overexpressed gene (MYEOV) plays a critical role in tumorigenesis in a variety of cancers. However, little is known of the prognosis and immune infiltration associated with MYEOV in non-small cell lung cancer (NSCLC). METHODS: We used several databases (Oncomine, TCGA, and GEO) to analysis the expression, prognosis, and immune infiltration, associated with MYEOV in NSCLC. We also used RT-qPCR and immunohistochemistry to investigate the expression and prognosis of MYEOV in NSCLC. RESULTS: Compared with normal tissues, high MYEOV expression in NSCLC was observed in Oncomine database, and was validated in the TCGA database. High MYEOV expression was significantly associated with different subtypes of NSCLC. Moreover, high MYEOV expression was closely related with a poorer overall survival in NSCLC in TCGA cohort, and was validated in GEO database. Simultaneously, high expression of MYEOV correlates with clinical relevance of NSCLC. Specifically, MYEOV expression was negatively correlated with infiltrating levels of tumor purity and B cells in LUAD. MYEOV expression was negatively correlated with infiltrating levels of tumor purity, and positively associated with CD8+ T cells, CD4+ T cells, dendritic cells, and neutrophils in LUSC. GSEA also revealed that high MYEOV expression were enriched in certain cancer-specific pathways. In addition, RT-qPCR and immunohistochemistry showed MYEOV expression was higher in NSCLC compared to the normal tissues. Finally, high MYEOV expression was closely related with poorer overall survival of NSCLC in an independent validation cohort. CONCLUSION: Our analyses indicate that MYEOV can be used as a prognostic biomarker for determining prognosis and immune infiltration in NSCLC.