Fig 2: Clinical significance of DDX10 expression in colorectal cancer (CRC). A mRNA expression of DDX10 in CRC tissues and normal colon tissues in The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database; B Kaplan–Meier disease-free survival curves of patients with CRC according to DDX10 expression in GSE17537; C Immunohistochemical results of clinical samples (n = 35, H-score, P < 0.05); D Immunohistochemical staining for DDX10 in CRC tissues and normal tissues; E Positions and frequency of mutations in DDX10 among CRC cases in TCGA dataset. Number of mutations was observed in twelve cases and frequency was 3.4%

Fig 3: DDX10 promoted colorectal cancer cell metastasis in vivo. A Twenty nude mice were used in our study; B The metastasis rates of the negative control group (90%) and knockdown group (50%); C The number of metastatic tumors of CRC; D Bioluminescence imaging (BLI) of mice after tail vein injection; E The weight of metastatic tumors of CRC (P < 0.05); F Tumor metastasis model of CRC after tail vein injection

Fig 4: DDX10 promoted colorectal cancer cell growth and metastasis in vitro. A Expression of DDX10 in several colorectal cancer cell lines by q-PCR; MTT cell proliferation assay was applied. Cell growth rate was significantly suppressed by shDDX10 (B) HCT116 cells (P < 0.001) (C) RKO cells (P < 0.001); D Fluorescence images of HCT116 (P < 0.001) and RKO cells (P < 0.01) were measured via Celigo high-content screening assay. Upper panel was the representative images and lower panel was the growth curve; E Colony formation assays using DDX10‐knockdown HCT116 and RKO cells (P < 0.001); F Cell apoptosis using DDX10‐knockdown HCT116 and RKO cells (P < 0.001); G. Wound-healing assay using DDX10-knockdown HCT116 and RKO cells; H. Transwell migration assay using DDX10-knockdown HCT116 (P < 0.001) and RKO cells (P < 0.01); I. Transwell invasion assays using DDX10-knockdown HCT116 (P < 0.01) and RKO cells (P < 0.001)

Fig 5: PPI network construction and Enrichment analysis A Protein–protein interaction network of DDX10 constructed by STRING; B–D. GO functional enrichment analysis and KEGG pathway enrichment analysis by R (version 4.0.5). Overexpression of DDX10 was positively correlated with microtubule binding, cell cycle; E GSEA analysis was performed using TCGA dataset. DDX10 is closely related to RNA splicing and E2F targets