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Background: To summarize the regulatory role of mRNA-miRNA-lncRNA network associated with endocrine therapy resistance (ETR) in breast cancer. Methods: We analyzed the differentially expressed genes (DEGs), differentially expressed lncRNAs (DELs), and differentially expressed miRNAs (DEMs) in long-term estrogen-deprived (LTED) estrogen receptor (ER)-positive breast cancer cells (LTED MCF7) (modeling relapse on endocrine therapy) and MCF7 cells in the presence of estrogen (E2) (modeling a patient at primary diagnosis) by mining GSE120929 and GSE120930 datasets. The mRNA-miRNA-lncRNA network was constructed by multiple bioinformatic tools. The prognosis of genes from the network was validated in breast cancer patients with following systemic treatment (endocrine therapy) by GEPIA, Kaplan–Meier plotter and UALCAN database. Results: Totally, 769 DEGs, 33 DEMs, and 10 DELs were selected. The mRNA-miRNA-lncRNA network was established including 60 mRNA nodes, 6 miRNA nodes and 3 lncRNA nodes. A significant module containing 3 nodes and 3 edges was calculated based on the mRNA-miRNA-lncRNA network. The hub genes in the network are ABCG2, ESR1 and GJA1. ESR1/miR-130b-3p/HOTAIR are significantly correlated with the prognosis of breast cancer patients with endocrine therapy. Conclusion: This study provides a novel ETR-related mRNA-miRNA-lncRNA network. Further, we suggest that ESR1/miR-130b-3p/HOTAIR may be promising targets for clinical treatment of endocrine therapy-resistant breast cancer. [ABSTRACT FROM AUTHOR]

Approximately 70% of breast cancer (BC) cases are hormone receptor-positive (HR+) and human epidermal growth factor receptor 2-negative (HER2-) BC. Cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors have acted as star drugs for reversing endocrine therapy (ET) resistance and improving the prognosis of patients with HR+ advanced breast cancer (ABC) since they were initially approved. However, progression eventually occurs. In this review, we summarize the recent treatment strategies post CDK4/6 inhibitors: 1) CDK4/6 inhibitors plus exemestane and everolimus; 2) phosphoinositide-3-kinase (PI3K) inhibitor alpelisib plus fulvestrant for patients with PIK3CA mutation; 3) poly (ADP-ribose) polymerase (PARP) inhibitor for patients with germline PALB2 mutations, somatic BRCA1/2 mutations, or germline BRCA1/2 mutations; 4) exemestane and everolimus; and (5) chemotherapy. These strategies are all supported by evidence from clinical trials and retrospective studies. We also describe potential future treatment strategies post CDK4/6 inhibitors, such as the trophoblast cell surface antigen 2 (Trop-2) directed antibody–drug conjugate, cyclin-dependent kinase 7 (CDK7) inhibitors, and B-cell lymphoma-2 (BCL-2) inhibitors. [ABSTRACT FROM AUTHOR]

Background: ESR1 mutation and its possible relation to endocrine therapy resistance in ER-positive breast cancers have been studied with respect to genetic sequencing data from Western patients but rarely from Chinese patients. This study aimed to investigate the prevalence of ESR1 mutation in Chinese primary and metastatic ER-positive breast cancer. Methods: Tumor samples from 297 primary breast cancer (PBC) patients and blood samples from 43 metastatic breast cancer (MBC) patients were obtained to perform whole exon sequencing of the ESR1 gene through next-generation sequencing (NGS). Clinicopathological features of MBC patients were listed and grouped to explore potential factors in ESR1 mutations. Results: A total of 15 ESR1 variations, including 11 point mutations, 1 in-frame deletion mutation, 1 synonymous mutation, and 2 amplifications were identified in 13 patients. The ESR1 mutation rate was 1% (3/297) in PBC patients and 18.6% (8/43) in MBC patients. All ESR1 point mutations occurred in the estrogen receptor ligand-binding domain. Six (54.5%) of the 11 point mutations were hotspot mutations. Among all MBC patients, the ESR1 mutation rate in those who had a treatment history using aromatase inhibitors (AI) was significantly higher than those who did not (25.8% versus 0%, P=0.015). Moreover, the ESR1 mutation rate in those who received AI treatment over a period of 12 months was significantly higher than in those whose treatment lasted less than 12 months [36.3% versus 0%, P< 0.001]. Conclusion: ESR1 mutations were more frequently observed in the circulating cell-free DNA of MBC patients than in PBC patients among the Chinese cohort, and higher among those pretreated with AI, suggesting that such mutations may undergo selection during AI treatment. [ABSTRACT FROM AUTHOR]

Estrogen receptor-alpha36 (ER-α36) is a 36-kDa variant of estrogen receptor-alpha (ER-α) firstly identified and cloned by Wang et al in 2005. It lacks both transactivation domains (activation function 1 and activation function 2) and has different biological characteristics compared to traditional ER-α (ER-α66). ER-α36 primarily locates on plasma membrane and cytoplasm and functions as a mediator in the rapid membrane-initiated non-genomic signaling pathway. Additionally, it inhibits the traditional genomic signaling pathway mediated by ER-α66 in a dominant-negative pattern. Accumulating evidence has demonstrated that ER-α36 regulates the physiological function of various tissues. Thus, dysregulation of ER-α36 is closely associated with plenty of diseases including cancers. ER-α36 is recognized as a molecular abnormality which solidly correlates to carcinogenesis, aggressiveness, and therapeutic response of breast cancer. Additionally, special attention has been paid to the role of ER-α36 in endocrine therapy resistance. Therefore, ER-α36 provides a novel biomarker of great value for diagnosis, prognosis, and treatment of breast cancer. It may also be a potential therapeutic target for breast cancer patients, especially for those who are resistant to endocrine therapy. In this review, we will overview and update the biological characteristics, underlying mechanism, and function of ER-α36, focusing on its biological function in breast cancer and endocrine therapy resistance. We will evaluate its application value in clinical practice. [ABSTRACT FROM AUTHOR]