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Fig. 7 | Journal of Translational Medicine

Fig. 7

From: Genome-wide profiling of retroviral DNA integration and its effect on clinical pre-infusion CAR T-cell products

Fig. 7

Vector integration sites and clinical outcomes of CAR T-cell therapy. A PCA (principal component analysis) plot using normalized gene integration data does not show distinct clustering of non-responder vs. responder, high grade CRS vs. low grade CRS, or HLH + vs. HLH−. OR: Objective response; NR: Non-response; CRS: Cytokine release syndrome; HLH: Hemophagocytic lymphohistiocytosis. B, C and D) Volcano plot of differential gene integration events comparing in non-responder and responder (B), CRS_high and CRS_low (C), HLH_no and HLH_yes (D). The red dots represent genes with higher enrichment of viral integration in Non-responder group, CRS_high group, and HLH_no group. The blue dots represent genes with lower enrichment of viral integration in Non-responder group, CRS_high group, and HLH_no group. The grey dots are genes without statistical significance. E–G Genes with more integration events in non-responders (E), more integration events in patients with low grade CRS (F), and more integration events in patients with HLH (G) were analyzed using gene ontology (GO) analysis. The y-axis indicates the different biological processes and the x-axis represents genes count involved in each biological process. Adjusted p-value was determined with the built-in function using clusterProfiler package in Rstudio

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