Fig. 3
GLIPR1 was up-regulated after CAR-T treatment and over-expressed on parts of STAD patients. (A) Volcano plots of DEGs between control group (cancer cells only) and treatment group (co-culture of CAR-T cells and cancer cells). (B) Heat maps of top 20 most increased or decreased DEGs between control group (cancer cells only) and treatment group (co-culture of CAR-T cells and cancer cells). (C) Venn diagram of DEGs between two cancer cell lines HGC27 and MKN45. (D) Gene ontology analysis of overlapping DEGs between two cancer cell lines. (E) KEEG analysis of overlapping DEGs between two cancer cell lines. (F) The differential analysis of GLIPR1 between tumors and normal. The method for differential analysis is one-way ANOVA using disease state (Tumor or Normal) as variable for calculating differential expression. (G) Survival analysis of STAD patients between high-expression and low-expression cohorts based on quartile cutoff [21]. Significance of survival impact is measured by log ran test. (H) Gene expression of GLIPR1 in STAD patients based on grades [22]. Significant difference of gene expression is estimated by Student’s T test