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. 2022 Aug 8;6:55. doi: 10.1038/s41698-022-00294-4

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© The Author(s) 2022

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. 4 — Distinct populations of “induced”, “selected”, and “transient” tumor-cells states, regulons, and TFs (bold) contribute to intratumoral heterogeneity, which plays a role in treatment resistance. As cell states may be differentially susceptible to treatment and may be selected for or induced by therapeutic intervention, use of a more complete view of cell state trajectories with scSYGNAL and MINER analysis may allow for the prediction of therapies that work in either the concurrent setting against cell states or an adjuvant/neo-adjuvant setting against induced cell states. Figure components were created via BioRender.com.