Tumor-associated macrophages (TAMs) contribute to a suppressive tumor environment by hindering T cell functions and fostering resistance to immune checkpoint therapies. Traditional approaches to impede TAMs have shown limited success. This study introduces a novel therapeutic strategy using engineered exosomes loaded with antisense oligonucleotides (ASOs) aimed at
STAT6 and C/EBPβ, key regulators of TAM immunosuppression. The exosome-based ASOs (exoASOs) are designed to specifically target TAMs, reducing the expression of STAT6 and C/EBPβ, and converting M2-like TAMs into M1-like, pro-inflammatory cells.
The study found that exoASO-STAT6 and exoASO-C/EBPβ effectively downregulated their respective target genes in human M2 macrophages, leading to a significant shift towards an M1 phenotype. Intravenous administration of exoASOs in a tumor-rich model showed selective uptake by myeloid cells and macrophages. Both exoASOs demonstrated efficacy as single agents, with complete response rates of 50% and 60% respectively, outperforming anti-
PD1 or anti-CSFR1 monoclonal antibodies, which showed no efficacy.
The combination of exoASO-C/EBPβ with anti-PD1 therapy further enhanced efficacy, achieving an 80% complete response rate and improved survival rates. Notably, mice that achieved complete response with exoASO therapies showed no tumor growth upon re-challenge, indicating durable anti-tumor effects.
In an orthotopic
hepatocellular carcinoma model, exoASO-C/EBPβ treatment significantly reduced liver to body weight ratios and tumor lesions, unlike treatments with free ASOs or anti-
CSF1R antibodies, which were ineffective.
The findings suggest that exoASO-STAT6 and exoASO-C/EBPβ are potent as monotherapies and that exoASO-C/EBPβ, when combined with checkpoint inhibitors, offers increased therapeutic potential. This represents a pioneering targeted approach against TAMs, offering a new avenue for cancer treatment.
How to Use Synapse Database to Search and Analyze Translational Medicine Data?
The transational medicine section of the Synapse database supports searches based on fields such as drug, target, and indication, covering the T0-T3 stages of translation. Additionally, it offers a historical conference search function as well as filtering options, view modes, translation services, and highlights summaries, providing you with a unique search experience.

Taking obesity as an example, select "obesity" under the indication category and click search to enter the Translational Medicine results list page. By clicking on the title, you can directly navigate to the original page.

By clicking the analysis button, you can observe that GLP-1R treatment for obesity has gained significant attention over the past three years, with preclinical research still ongoing in 2023. Additionally, there are emerging potential targets, such as GDF15, among others.

Click on the image below to go directly to the Translational Medicine search interface.
