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. 2022 Sep 19;13(9):800. doi: 10.1038/s41419-022-05189-7

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© The Author(s) 2022

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 8 — A Representative images of xenograft tumors derived from SEAS1-overexpressing and vector control MDA-MB-231cells that were subcutaneously injected into Balb/c athymic nude mice. Relative expression levels of SEAS1 in the SEAS1-overexpressing and vector control MDA-MB-231cells are also shown. B, C Tumor weights and tumor volumes of xenograft tumors derived from the SEAS1-overexpressing and vector control MDA-MB-231cells are shown. Tumor volumes were calculated as volume = length × (width)²/2. The data are represented as mean ± SD. D Representative images show the differences between Ki67 and PCNA staining in the xenograft tumor tissues derived from SEAS1-overexpressing and vector control MDA-MB-231cells. E TUNEL assay results show the percentage apoptotic cells in the xenograft tumor tissues derived from SEAS1-overexpressing and vector control MDA-MB-231cells. F–H Kaplan–Meier Plotter database analysis shows the survival rate of breast cancer patients in the GEPIA dataset with high and low expression levels of F SEAS1, G SMAD3, and H KLLN. I RT-qPCR analysis shows the expression levels of KLLN mRNA in TNBC tissues and the adjacent normal breast tissues. J Spearman correlation analysis shows significant negative correlation between miR-3940-3p and KLLN expression levels in the breast cancer tissues (R² = 0.527, P = 0.017). K Diagrammatic representation of the regulation of TNBC progression by the SMAD3/SEAS1/miR-3940-3p/KLLN axis. SMAD3 regulates transcription of SEAS1, which functions as a sponge for miR-3940-3p, the negative regulator of KLLN. *P < 0.05, **P < 0.01, and ***P < 0.001. Representative data from at least 3 experiments with comparable results are shown.