Fig. 5: Exploration of potential agents enhancing immunotherapy using CRISPR screening data. | npj Precision Oncology

Fig. 5: Exploration of potential agents enhancing immunotherapy using CRISPR screening data.

From: Integrative analysis of pan-cancer single-cell data reveals a tumor ecosystem subtype predicting immunotherapy response

Fig. 5: Exploration of potential agents enhancing immunotherapy using CRISPR screening data.

a Diagram summarizing the workflow of CRISPR screens focused on identifying potential regulator genes mediating response to cancer immunotherapy. The definitions of enhancer genes and suppressor genes were also illustrated. b Ranking of genes based on their knockout effects on immunotherapy across 5 CRISPR datasets. Negative (positive) z scores indicated ICI responsiveness (resistanse) after knockout of a specifc gene. Genes were ranked according to their mean z scores. Blank squares in the heatmap referred to missing values of gene data from the corresponding cohort. c Determination of proliferation-independent genes according to the CERES scores from CRISPR knockout screens across hundreds of cancer cell lines. d Intersections among proliferation-independent genes, IRE.Sig genes, ICI enhancer and suppressor genes. e Result of drug prediction. The top 10 drugs were labeled in the plot.

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