Sabit Hussein, Adel Amro, Abdelfattah Mariam M, Ramadan Rehab M, Nazih Mahmoud, Abdel-Ghany Shaimaa, El-Hashash Ahmed, Arneth Borros
Department of Medical Biotechnology, College of Biotechnology, Misr University for Science and Technology, P.O. Box 77, Giza, 3237101, Egypt.
Department of Pharmaceutical Biotechnology, College of Biotechnology, Misr University for Science and Technology, P.O. Box 77, Giza, 3237101, Egypt.
Cancer Lett. 2025 Sep 28;628:217865. doi: 10.1016/j.canlet.2025.217865. Epub 2025 Jun 15.
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen, progesterone, and HER2 receptors, leading to limited treatment options and poor prognosis. This review synthesizes current research on the tumor microenvironment (TME) and immune cell crosstalk in TNBC to identify emerging therapeutic opportunities. The TME in TNBC is a complex ecosystem comprising immune cells, fibroblasts, and extracellular matrix components, which significantly influence tumor growth and metastasis. Single-cell RNA sequencing reveals T-cell heterogeneity and identifies prognostic genes. Regulatory T cells (Tregs) play a key role in immunosuppression, with thymidine kinase-1 (TK1) identified as a potential therapeutic target. MUC1-C and CXCL9 modulate the TME, impacting T-cell depletion and macrophage differentiation. Spatial analysis highlights the importance of cell-to-cell interactions in predicting recurrence. Epithelial-mesenchymal transition (EMT) and thermogenesis also influence the TME, while epigenetic modifications, such as HDAC inhibition, can induce pyroptosis and enhance immune cell recruitment. Integrating genomic information with TME analysis is crucial for developing personalized treatments, considering racial disparities in immune infiltration. Emerging therapies targeting immune checkpoints, modulating Treg activity, and inducing pyroptosis hold promise for improving TNBC patient outcomes. Future research should focus on multi-omics data, spatial transcriptomics, and patient-derived models to refine therapeutic interventions.
三阴性乳腺癌(TNBC)是一种侵袭性亚型,其特征是缺乏雌激素、孕激素和HER2受体,导致治疗选择有限且预后不良。本综述综合了当前关于TNBC肿瘤微环境(TME)和免疫细胞串扰的研究,以确定新出现的治疗机会。TNBC中的TME是一个复杂的生态系统,由免疫细胞、成纤维细胞和细胞外基质成分组成,它们显著影响肿瘤的生长和转移。单细胞RNA测序揭示了T细胞的异质性并鉴定了预后基因。调节性T细胞(Tregs)在免疫抑制中起关键作用,胸苷激酶-1(TK1)被确定为一个潜在的治疗靶点。MUC1-C和CXCL9调节TME,影响T细胞耗竭和巨噬细胞分化。空间分析突出了细胞间相互作用在预测复发中的重要性。上皮-间质转化(EMT)和产热也影响TME,而表观遗传修饰,如HDAC抑制,可诱导细胞焦亡并增强免疫细胞募集。考虑到免疫浸润中的种族差异,将基因组信息与TME分析相结合对于开发个性化治疗至关重要。针对免疫检查点、调节Treg活性和诱导细胞焦亡的新兴疗法有望改善TNBC患者的预后。未来的研究应专注于多组学数据、空间转录组学和患者来源模型,以优化治疗干预措施。