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. 2023 Aug 14;23:752. doi: 10.1186/s12885-023-11246-x

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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/. 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 — Prediction of immunotherapy response and chemotherapy drug sensitivity in melanoma patients. Comparison of expression levels of critical genes such as PD-1 (A), PD-L1 (B), CTLA4 (C) and LAG3 (D) for immune checkpoint inhibitors among distinct risk groups. (E-H) The estimation of immunotherapy response between high- and low-risk score groups. Orange represents the low-score group, and Cyan represents the high-score group. The thick line within the violin plot represents the median value. The inner box between the top and bottom represents the interquartile range. (I) Comparisons of IC₅₀ for chemotherapeutics between two subgroups revealed that the high-risk group was more likely to benefit from BMS-754,807, FH535, LAQ824, etc. (J). The low-risk group was more sensitive to Parthenolide, Lapatinib, DMOG, etc.