First, we analyzed breast cancer data from TCGA using bioinformatics methods and found that DYNLT1 was differentially expressed in breast cancer and was significantly higher in tumor tissues than in normal tissues (Fig. 1A). Here, DYNLT1 is linked to neoplasm.