Exploring the potential value of SRC genes in pan cancer based on bioinformatics methods

Abstract

Objective The objective of this study is to investigate the expression levels of non-receptor tyrosine kinase (SRC) genes in different types of human tumor tissues, and their relationship with patient prognosis and immune microenvironment. Methods We utilized the Sangerbox database to analyze the differential expression of SRC in various types of cancer tumors and adjacent normal tissues. Survival outcomes of SRC expression levels in pan cancer analyzed by Cox risk ratio and Kaplan Meier analysis. We further analyzed the relationship between SRC expression and immune examination genes, tumor mutation load, microsatellite instability, and the immune microenvironment of pan cancer through the Sangerbox database. Results Our findings indicate that the SRC gene is highly expressed in various tumors. Furthermore, the expression level of SRC is significantly correlated with the survival outcomes of various cancers, both positively and negatively. Additionally, the results of our analyses show that the expression level of SRC is associated with tumor mutation burden, microsatellite instability, and tumor infiltration of immune cells in various cancers. Conclusion SRC plays a critical role in the tumor microenvironment, and is involved in the tumorigenesis and tumor immunity of various cancers. Our study suggests that SRC might be a potential prognostic biomarker and a promising therapeutic target for various cancers.