Fig. 8: S100P mediates ferroptosis in HCC patients.

a Representative immunohistochemistry images of 4-HNE and S100P in the HCC tissue microarray. Scale bars, 20 µm. b The correlation of 4-HNE and S100P expression in the HCC tissue microarray from clinical HCC patients. n = 30 independent tumors. Bivariate relationship was calculated by Spearman’s rank correlation coefficient. c Representative immunohistochemistry images of S100P in HCC para-cancers and cancers. Scale bars, 20 µm. d Intensity scores analysis of S100P in HCC para-cancers and cancers. n = 30 paired liver cancer tissues and corresponding non-cancerous liver tissues. e Kaplan-Meier Plotter comparing the S100P expression in the normal, tumor and metastatic tissues of HCC patients. n = 379 (Normal), n = 806 (Tumor), n = 24 (Metastatic). The bars represent the proportions of tumor samples that show higher expression of the selected gene compared with normal samples at each of the quantile cutoff values (minimum, 1st quartile, median, 3rd quartile, maximum). f Kaplan–Meier survival curves showing the relationship between S100P expression levels and the overall survival time of liver cancer patients in the case of sorafenib treatment. g, h Kaplan–Meier survival curves showing the relationship between the ratio of S100P to ACC1 and the overall survival time of liver cancer patients with or without sorafenib treatment. i Schematic diagram of the regulatory role of S100P in ferroptosis. Data and error bars are mean ± s.d. in (d). Statistical analysis was done with two-tailed student’s t test in (d). Logrank test was used in (f–h). Kruskal-Wallis analysis was used in (e). Source data are provided as a Source Data file.