Abstract
Introduction: Breast cancer is the most common cancer and the leading cause of cancer death in women. Recent research indicates that human endogenous retroviruses (HERVs) may be linked to carcinogenesis, but the data remain controversial. Methods: HERVs’ expression was evaluated to show the differences between breast cancer and control samples, and their associations with clinicopathological parameters. Gene expression of 12 HERVs, i.e., ERVE-4, ERVW-1, ERVFRD-1, ERVV-1, ERV3-1, ERVH48-1, ERVMER34-1, ERVK-7, ERVK13-1, ERVK11-1, ERVK3-1, and HCP5, was analyzed by qPCR and/or TCGA datasets for breast cancer. Results: ERV3-1, ERVFRD-1, ERVH48-1, and ERVW-1 provided data to support their tumor suppressor roles in breast cancer. ERV3-1 evinced the best performing diagnostic data based on qPCR, i.e., AUC: 0.819 (p Conclusion: Differential HERV expression may be applicable to evaluate novel biomarkers for breast cancer. However, more research is needed to reveal their real clinical impact, the biological roles, and regulatory mechanisms in breast carcinogenesis.
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