Efficacy of FERscore in predicting sensitivity to ferroptosis inducers in breast cancer.

Abstract

Recent studies have highlighted the potential of ferroptosis in treating breast cancer. However, the efficacy of ferroptosis induction in the most common subtype, estrogen receptor-positive (ER + ) breast cancer, remains inadequately explored. This study unveils that both short-term and long-term treatment with ER-targeted endocrine agents sensitizes ER+ breast cancer cells to ferroptosis inducers, particularly the GPX4 inhibitor, revealing a non-mutational sensitization mechanism. Based on this finding, we introduce a 55-gene signature score (FERscore) tailored to assess ferroptosis susceptibility in breast cancer. Data from cell lines and primary tumors demonstrate significant lower FERscores in ER+ breast cancer compared to other subtypes; however, FERscores dramatically increase in endocrine-resistant ER+ tumor cells and residual tumors post-endocrine therapy. Furthermore, FERscore correlates positively with mesenchymal traits, stemness, immune cell infiltration, and cancer-associated fibroblasts enrichment, while inversely correlating with estrogen responsiveness and DNA repair capacity. Additionally, the FERscore proves effective in predicting therapeutic responses to anti-ER, anti-HER2, poly (ADP-ribose) polymerase inhibitor, and anti-angiogenesis therapies in breast cancer. In summary, ferroptosis induction emerges as a promising avenue in breast cancer therapy. The FERscore offers an innovative tool for identifying patients who may benefit from ferroptosis-inducing therapies, especially those responsive to GPX4 inhibitors.