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. 2023 Apr 6;55(5):807–819. doi: 10.1038/s41588-023-01355-5

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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 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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Extended Data Fig. 5 — (a) Expression of top 10 significant protein-coding transcripts associated with response (PR/CR, left; N = 52 RNA samples) and nonresponse (SD/PD, right; N = 84 RNA samples). Boxplot overlay depicts 25th percentile (minima), 50th percentile (center), and 75th percentile (maxima) of distribution with whiskers bounding points within 1.5 X interquartile range (Q3–Q1) from each minimum and maximum. PR = Partial Response, CR = Complete Response, SD = Stable Disease, PD = Progressive Disease, TPM = transcripts per million (b) Volcano plot for Limma results for cohort wide analysis subsetted to Interferon Targets, Proteasome Subunits, and Immunoproteasome Subunits. (c) Scatterplots comparing 5 inducible components of the immunoproteasome against each other as well as IFNG. Regression line and bootstrapped 95% confidence interval are displayed.