R language 4

All statistical analyses were performed using R language 4.0.5 or SPSS 16.0 software. The expression of SMC1A in cancer and normal tissues of pan‐cancer was analyzed by the Wilcoxon rank‐sum test. The genes associated with SMC1A in CCLE database were analyzed by the Pearson's test. p values of GO and KEGG analysis were adjusted using the BH method. The expression of SMC1A in different TNM stages at single‐cell levels from TISCH database was analyzed by the Kruskal–Wallis test. The immune cell infiltration analysis was performed by the Spearman's test. The correlation of SMC1A mutation and SCNA status with immune cell infiltration in COAD was examined by the two‐sided Wilcoxon rank‐sum test. The correlation between SMC1A expression and the expression of immune checkpoint genes (CD274, CTLA4, and PDCD1) or the expression of stem cell indicators (CD133, CD29, CD166, CD44, Lgr5, and Oct4) was analyzed by the Spearman's test. Two‐tailed t‐tests were used to compare data between two groups in qRT‐PCR, Immunohistochemistry, and flow cytometry assay. p < 0.05 was considered to be statistically significant.

R language 4.0.5 or SPSS 16.0 software were used for statistical anlaysis. Details of bioinformatics analysis can be found in methods parts. The difference between the two groups was estimated by Student’s t-test (two-tailed). P<0.05 was considered to be statistically significant.