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. 2021 Jan 13;11:1098. doi: 10.1038/s41598-020-80216-1

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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 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/.

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Expression of immunomodulatory genes in UPS tumor models. (A) Heat map of quantitative RT-PCR data analyzing gene expression of tumors matching those used for immunoprofiling in Figs. 3 and 4. Each column represents an individual tumor. Values are relative to the average expression of UPS primary tumors, with increased expression shown in pink and decreased expression shown in blue. Data analyzed by one-way ANOVA with a p-value < 0.05 denoted by a star. n = 5–6 tumors per group (B) MHCI expression is significantly elevated in KRIMS-2 tumors compared to UPS primary and KRIMS-1 tumors. Average mRNA fold change (2^-ΔΔCT) ± SEM. (C–G) Correlation of MHCI expression and T cell populations using simple linear regression to analyze matching samples. There is strong positive correlation between MHCI levels and CD8 + T cells (E) and Tregs (G) in UPS tumors. R² indicates goodness of fit. A p-value < 0.05 indicates a slope significantly different than zero. n = 16 mice per correlation analysis.