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. 2023 Apr 6;55(5):807–819. doi: 10.1038/s41588-023-01355-5

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — 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 biology^35,45–50. 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.