Identification of candidate therapeutic target genes and profiling of tumor-infiltrating immune cells in pancreatic cancer via integrated transcriptomic analysis

HIGHLIGHTS

SUMMARY

    With extensive developments made in computer science and bioinformatics analysis, public databases including GEO and TCGA database have been increasingly used for enrichment analysis and identification of DEGs between tumor and normal tissue. Survival analysis based on hub gene_expression was performed with clinical information from TCGA database. Perl language was used to map the microarray probe data to gene symbols. "limma" software package of R was performed to select DEGs between PC and normal tissue samples in each gene_expression dataset. As antigen-presenting cells, dendritic cells can activate T_cells and exert antitumor effects. DC . . .

     

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