Decoding the Tumor Microenvironment: Exosome-Mediated Macrophage Polarization and Therapeutic Frontiers

外体 巨噬细胞极化 肿瘤微环境 巨噬细胞 癌症研究 解码方法 化学 细胞生物学 计算生物学 生物 微泡 肿瘤细胞 计算机科学 小RNA 生物化学 体外 基因 电信
作者
Yilin Li,Jiaqi You,Zifang Zou,Guanghao Sun,Yuqing Shi,Yanbin Sun,Shun Xu,Xin Zhang
出处
期刊:International Journal of Biological Sciences [Ivyspring International Publisher]
卷期号:21 (9): 4187-4214 被引量:11
标识
DOI:10.7150/ijbs.114222
摘要

The tumor microenvironment (TME) is dynamically shaped by interactions between tumor cells, immune cells, and stromal components. Among these, tumor-associated macrophages (TAMs) play dual roles in tumor progression. Exosomes are key mediators of intercellular communication and are crucial for modulating macrophage polarization. This review systematically summarizes the role of HIF-1α as the central regulator of tumor-derived exosomes under hypoxic conditions. Under endoplasmic reticulum stress (ERS), the STAT3 and PI3K/AKT/mTOR pathways activation is mediated by the inactivation of the Hsp90/Hippo pathway, which induces the expression of LncRNA HMMR-AS1 and specific miRNAs (e.g., miR-1246, let-7a, miR-301a-3p, etc.). Furthermore, the IRE1/PERK pathway regulates exosome secretion by carrying miR-23a-3p and miR-27a-3p or directly delivering PD-L1 protein, thus activating the PI3K/AKT pathway, inhibiting PTEN, and upregulating PD-L1 expression as well as increasing the M2 polarization of macrophages. This study also summarized the important matrices of exosomes' involvement in the interaction between tumor cells and macrophages in different systemic malignant tumors. Moreover, the bidirectional crosstalk between TAM-derived exosomes and other TME components (e.g., CD8+ T cells, fibroblasts) was also evaluated, which indicated their roles in immune evasion and metastasis. Further, engineering strategies, such as receptor-targeted exosomes and short palindromic repeats interference (CRISPRi)-based transcriptional silencing, were also discussed as emerging tools to enhance exosome specificity and therapeutic efficacy. This study proposes a roadmap for translating engineered exosomes into clinical immunotherapy regimens by integrating recent advances in spatial omics and artificial intelligence, and also addresses challenges in exosome isolation, stability, and biosafety.
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