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. 2024 Oct 18;14:24502. doi: 10.1038/s41598-024-74109-w

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 7 — Association analysis between CD9 and immune cells. (a) The abundance of immune cells in the samples of high and low CD9 expression groups in the TCGA database; (b) The immune cells of the high and low CD9 expression groups were infiltrated differentially; Yellow represents high CD9 expression group, blue represents low CD9 expression group. (c) Differential immune cell correlation heat map; Red represents positive correlation, blue represents negative correlation, the darker the color, the higher the correlation; Blank indicates no significant (d) CD9 is associated with differential immune cells.