摘要
BACKGROUND Diffuse large B-cell lymphoma(DLBCL)is a common non-Hodgkin lymphoma.The development of immunotherapy greatly improves the patient prognosis but there are some exceptions.Thus,screening for better biomarkers for prognostic evaluation could contribute to the treatment of DLBCL patients.AIM To screen the novel mediators involved in the development of DLBCL.METHODS The GSE60 dataset was applied to identify the differentially expressed genes(DEGs)in DLBCL,and the principal components analysis plot was used to determine the quality of the included samples.The protein-protein interactions were analyzed by the STRING tool.The key hub genes were entered into to the GEPIA database to determine their expressions in DLBCL.Furthermore,these hub gene alterations were analyzed in cBioportal.The UALCAN portal was employed to analyze the expression of the hub genes in different stages of DLBCL.The Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data Score was conducted to evaluate the correlation between the gene expression and tumor purity.The gene-gene correlation analysis was conducted in the GEPIA.The stromal score analysis was conducted in TIMER to confirm the correlation between the gene expression and infiltrated stromal cells.The correlation between the indicated genes and infiltration level of cancerassociated fibroblasts(CAFs)was also completed in TIMER with two methods,MCP-Counter and Tumor immune dysfunction and exclusion.The correlation between fibronectin(FN1)protein level and secreted protein acidic and cysteinerich(SPARC)messenger ribonucleic acid expression was confirmed in the cBioportal.RESULTS The top 20 DEGs in DLBCL were identified,and the principal components analysis plot confirmed the quality of the significant DEGs.The pairwise correlation coefficient analysis among all samples showed that these DEGs have a certain co-expression pattern.The DEGs were subjected to STRING to identify the hub genes,alpha-2-macroglobulin(A2M),cathepsin B(CTSB),FN1,matrix metallo
基金
Supported by the Natural Science Foundation of Chongqing,No.cstc2019jcyj-msxmX0793.
