Moreover, by analyzing multi-omic bioinformatics data in over 10,000 cancer tissues, 1739 cancer cell lines, 124 types of normal tissues, and 18 types of blood cells, we comprehensively analyzed CT83 in breast cancer and pan-cancer, including its expression patterns (in cancer tissues, normal tissues, cancer cell lines, and blood cells), mutation profiles, copy number variations, methylation status, association with tumor-infiltrating lymphocytes, prognostic significance, and potential biological functions in breast cancer. Here, CT83 is linked to breast cancer.