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. 2021 May 31;6:37. doi: 10.1038/s41525-021-00202-y

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© The Author(s) 2021

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 — a The schematic plot shows the workflow for identifying potential drugs that can shape the tumor microenvironment. b The dot plots show potential adjuvant drugs that may contribute to favorable immunophenotype transformation. Red: drugs that may induce systematic transcriptomic alternation from a noninflamed TME to an inflamed TME. Blue: opposite drugs. Connectivity is a score calculated by the PharmacoGx package based on the CMAP algorithm, and it represents the drug’s potential to convert the transcriptomic characteristics of “cold” tumors into “hot” tumors.