Fig. 6: Clinical, genomic and transcriptomic feature integration across the SU2C-MARK cohort. | Nature Genetics

Fig. 6: Clinical, genomic and transcriptomic feature integration across the SU2C-MARK cohort.

From: Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer

Fig. 6: Clinical, genomic and transcriptomic feature integration across the SU2C-MARK cohort.The alternative text for this image may have been generated using AI.

Cross-correlation heatmap of the top response and resistance-associated features in the SU2C-MARK cohort along with a selection of signatures previously described as relevant to tumor and immune biology35,45,46,47,48,49,50. The three strongest correlation blocks are outlined and roughly correspond to wound healing (C1), immune activation/exhaustion (C2) and neoantigens (C3). Of note, the direction of association (that is, positive or negative) with immune checkpoint blockade response was consistent for predictors within each of these highlighted correlation blocks.

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