Treatment for hormone receptor–positive/human epidermal growth factor receptor 2–negative (HR+/HER2−) breast cancer, the most common type of breast cancer, has faced challenges such as endocrine therapy resistance and distant relapse. Immunotherapy has shown progress in treating triple-negative breast cancer, but immunological research on HR+/HER2– breast cancer is still in its early stages. Here, we performed a multi-omics analysis of a large cohort of patients with HR+/HER2– breast cancer (n = 351) and revealed that HR+/HER2– breast cancer possessed a highly heterogeneous tumor immune microenvironment. Notably, the immunological heterogeneity of HR+/HER2– breast cancer was related to mitogen-activated protein kinase kinase kinase 1 (MAP3K1) mutation and we validated experimentally that a MAP3K1 mutation could attenuate CD8+ T cell–mediated antitumor immunity. Mechanistically, MAP3K1 mutation suppressed MHC-I–mediated tumor antigen presentation through promoting the degradation of antigen peptide transporter 1/2 (TAP1/2) mRNA, thereby driving tumor immune escape. In preclinical models, the postbiotic tyramine could reverse the MAP3K1 mutation–induced MHC-I reduction, thereby augmenting the efficacy of immunotherapy. Collectively, our study identified the vital biomarker driving the immunological heterogeneity of HR+/HER2– breast cancer and elucidated the underlying molecular mechanisms, which provided the promise of tyramine as what we believe to be a novel therapeutic strategy to enhance the efficacy of immunotherapy.
Yu-Wen Cai, Cui-Cui Liu, Yan-Wu Zhang, Yi-Ming Liu, Lie Chen, Xin Xiong, Zhi-Ming Shao, Ke-Da Yu
Usage data is cumulative from November 2024 through August 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 3,858 | 326 |
944 | 82 | |
Figure | 488 | 0 |
Supplemental data | 365 | 56 |
Citation downloads | 76 | 0 |
Totals | 5,731 | 464 |
Total Views | 6,195 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.