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. 2023 Aug 2;620(7973):409–416. doi: 10.1038/s41586-023-06367-z

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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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 6 — a, Histograms showing the number of inferred interaction (upper panel) from the single cell RNA seq analysis (patient 01-040) by CellChat packages and (lower panel) the significant genes were ranked based on their differences of overall information flow between C1D1 and C3D1. The left panels investigate the communication between Tumor and lymphocyte cells. The right panels investigate the communication between Tumor and APCs. b, Histograms showing the number of inferred interaction (upper panel) from the Visium assays (patients 01-034 and 01-039) by CellChat packages and (lower panel) the significant genes were ranked based on their differences of overall information flow between C1D1 and C3D1. The left and right panels correspond respectively to patient 01-034 and 01-039. Red and green are more enriched in C1D1 and C3D1 sample, respectively. Arrows indicate MHC-I and II genes which expression is enriched in C3D1 samples.