To construct a multiple RNA-based prediction model in patients with ovarian cancer, Zhang et al. (2020) used sequencing data from The Cancer Genome Atlas (TCGA) database and identified TM4SF1-AS1-miR-186-STEAP2 and LINC00536-miR-508-STEAP2 as new interaction axes to explain the possible functions of these RNAs in the prediction model for disease-free survival in patients with ovarian cancer. This evidence concerns the gene TM4SF1 and ovarian cancer.