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. 2024 Jan 30;130(7):1083–1095. doi: 10.1038/s41416-024-02576-z

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© The Author(s) 2024

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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Fig. 3 — Furthermore, correlation analysis was performed between the expression of the identified genes and the number of tumour-infiltrating CD8⁺ cells. a Volcano plot showing differentially expressed genes (DEGs) in corresponding lung metastases compared to primary leiomyosarcoma. Red dots indicate genes with statistically significant differences (fold-change >1.0, p < 0.001). b Comparison of gene expression levels in primary and lung metastases for each DEG. c Correlation analysis between gene expression levels and the number of tumour-infiltrating CD8⁺ cells based on immunohistochemical staining for each DEG (n = 12; 6 patients with primary tumours and 6 with lung metastasis). Gene expression levels were converted to natural logarithms. R represents the Pearson’s correlation coefficient. a, b DEG analysis was performed using the R package limma.