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. 2021 Nov 20;21:613. doi: 10.1186/s12935-021-02314-y

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© The Author(s) 2021

Open AccessThis 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. 5 — CXCL12 correlated with the TME of BLCA that influenced patients' responsiveness to ICB therapy. A, B CXCL12 is positively correlated with immune checkpoint genes, including PDCD1, PDCD1LG2, CD274, CTLA4, TIGIT, LAG3, and HAVCR2, but negatively related to SIGLEC15. C, D The MCP-COUNTER algorithm indicated that CXCL12 expression level is positively associated with CD8 + T cells, endothelial cells and CAFs in the TME. E The ESTIMATE algorithm showed a positive correlation of CXCL12 expression with the stromal and immune scores. F, G CXCL12 was associated with patients' age, SASP and aging-related genes. H The TIDE algorithm demonstrated that CXCL12 expression influenced the responsiveness of BLCA patients to ICB therapy. *** p < 0.001, ns: not significant