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. 2021 Oct 30;21:1165. doi: 10.1186/s12885-021-08827-z

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 8 — The prediction of immunotherapeutic and chemotherapeutic responses. A) SubMap analysis revealed that the low-risk group was more sensitive to PD-1 inhibitor (Bonferroni-corrected P = 0.008); B) The predicted IC50 for chemotherapeutic drugs in the low- and high-risk group. The low-risk group was related to a lower IC50 in docetaxel, gefitinib and vinblastine, while the high-risk group was related to a lower IC50 in doxorubicin, mitomycin C and paclitaxel (P < 0.05 by Wilcoxon test)