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. 2023 Mar 10;21:189. doi: 10.1186/s12967-023-04035-4

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© The Author(s) 2023

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. 3 — IMMT expression according to clinical factors and pathological categories from multiple databases. A and B The Cancer Genomic Atlas (TCGA) repository-based IMMT expression levels. Box plot of IMMT expression according to clinical stages (A) and major subtypes (B). TPM, Transcripts Per Million. C–H SCAN-B (The Sweden Cancerome Analysis Network-Breast) repository-based IMMT expression levels. Violin plot of IMMT expression according to PAM subtypes (C), SBR (Scarff Bloom and Richardson) grade (D), IHC status of TNBC (triple-negative breast cancer) (E), nodal status (F), NPI (Nottingham prognostic index) (G) and IHC status of Ki67 (H). **p < 0.01, ***p < 0.001 when compared with normal group. N⁻, NPI1, or Ki67 low groups. ^#p < 0.05, ^###p < 0.001 when comparing indicated groups